From 8f6e003e748db609ff32f3e8c44a0bdb366ee534 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Tue, 17 Sep 2024 14:36:47 -0600 Subject: [PATCH 01/31] update smap notebooks --- .../SMAP/smap_issues_and_solutions.ipynb | 2724 +++++++++++++++++ notebooks/SMAP/smap_rasterio_issues.ipynb | 2339 ++++++++++++++ .../SMAP/working_with_smap_in_xarray.ipynb | 965 ++---- 3 files changed, 5287 insertions(+), 741 deletions(-) create mode 100644 notebooks/SMAP/smap_issues_and_solutions.ipynb create mode 100644 notebooks/SMAP/smap_rasterio_issues.ipynb diff --git a/notebooks/SMAP/smap_issues_and_solutions.ipynb b/notebooks/SMAP/smap_issues_and_solutions.ipynb new file mode 100644 index 0000000..27689a5 --- /dev/null +++ b/notebooks/SMAP/smap_issues_and_solutions.ipynb @@ -0,0 +1,2724 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "91ebd94c-fb02-42a7-9cfe-b02a0da5967a", + "metadata": {}, + "source": [ + "# Read and plot SMAP data\n", + "\n", + "## Overview\n", + "\n", + "This has become an overly long notebook. It was started to demonstrate some more _pythonistic_ streamlined workflows than we show in the SMAP tutorials for accessing, loading and plotting SMAP L3 data. However, what should have been a short and simple demonstration of workflows became an exploration of the shortcomings of the L3 SMAP HDF5 files and workarounds to deal with them. What follows is a hybrid of a tutorial, critique and suggested improvements. I summarize the problems with the data set in this overview section. Please see the code and plots below for examples.\n", + "\n", + "The tutorials use the SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 8 (SPL3SMP, DOI:10.5067/OMHVSRGFX38O).\n", + "\n", + "[Data set landing page](https://nsidc.org/data/spl3smp/versions/8) \n", + "[User Guide](https://nsidc.org/sites/default/files/spl3smp-v008-userguide.pdf)\n", + "\n", + "### Problems with the L3 SMAP Data\n", + "\n", + "This list is not exhaustive. It is informed by trying to describe workflows to open, read and plot the data contained in the files using current, standard tools in the geospatial python stack. I suspect that the same problems and frustrations would be encountered if other software tools and programming languages were used.\n", + "\n", + "The critique is also inspired by the belief that self-desribing file formats, conventions such as CF and COARDS, along with software tools designed to take advantage of these file formats and conventions, are there to make the working with data simple, allow scientists to start analysis sooner. Ad-hoc file structures and incomplete (or inaccurate) metadata _\"break\"_ these tools, workflows. Often the _forensic investigations_ required to track down the necessary information to \"fix\" problems introduced by non-conforming files is time consuming. The following quote from the CF Conventions makes this point well.\n", + "\n", + ">The purpose of the CF conventions is to require conforming datasets to contain sufficient metadata that they are self-describing in the sense that each variable in the file has an associated description of what it represents, including physical units if appropriate, and that each value can be located in space (relative to earth-based coordinates) and time.\n", + ">\n", + ">An important benefit of a convention is that it enables software tools to display data and perform operations on specified subsets of the data with minimal user intervention. It is possible to provide the metadata describing how a field is located in time and space in many different ways that a human would immediately recognize as equivalent. The purpose in restricting how the metadata is represented is to make it practical to write software that allows a machine to parse that metadata and to automatically associate each data value with its location in time and space. It is equally important that the metadata be easy for human users to write and to understand.\n", + "\n", + "1. **The HDF5 files do not contain sufficient information for the data to be geolocatable**. The data are in a projected coordinate reference system (CRS) - EASE-Grid 2.0 - on a 406 x 964 grid with a 36 km grid cell height and width. Although `latitude` and `longitude` 2D grids are included as Datasets, these grids are masked, so that coordinates are not available for all grid cells. Coordinate grids **should not** have missing values. Furthermore, standard tools in the Geoscience stack, such as `xarray`, do not allow coordinate variables to have missing data in accordance with conventions such as CF and COARDS.\n", + "2. The data have a projected CRS, the projected coordinates should be included in the file. These would be vectors containing `x` and `y` in meters.\n", + "3. There are no named dimensions. Standard tools (and humans) have no way to associate dimension variables (dimension scales in HDF5 terms) with data variables.\n", + "4. There is no information about the CRS contained in the file. It may be in the xml but modern tools expect to find it as a variable. It should be included at least as a WKT string and an EPSG code.\n", + "5. The names of Datasets have an inconsistent naming convention. Datasets in the `Soil_Moisture_Retrieval_Data_PM` Group have the suffix `_pm`. Datasets in the `Soil_Moisture_Retrieval_Data_AM` group do not. This makes programmatic workflows more complicated because users have to \"code around\" the differences in file names. For example: `if spass == 'PM': filename = f\"{variable}_{spass.lower()} \\\\ else: filename = variable` instead of `filename = f\"{variable}_{spass.lower()}\"`.\n", + "6. Some of the attribute data is incorrect. See the `landcover_class` for an example. The `long_name` attribute is used to describe the dimensions. This is the wrong place to describe this. `long_name` should be reserved for the name of the variables. If named dimensions had been created there would be no need to describe the dimensions. Moreover, dimensions are listed as longitude, latitude and IGBP land cover type. Longitude and latitude cannot be dimensions. The data arrays are in projected coordinates. Longitude and latitude are 2D arrays and, therefore, it is impossible to assign them as dimensions, which by definition, are 1D vectors. The dimensions should be x and y or easting and northing. \n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "b35a4034-033a-419c-97a1-fb3a4234e799", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/apbarret/mambaforge/envs/smap-tutorial/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from pathlib import Path\n", + "\n", + "import earthaccess\n", + "import h5py\n", + "import rioxarray\n", + "import xarray as xr\n", + "import numpy as np\n", + "\n", + "from affine import Affine\n", + "from pyproj import CRS\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cfeature\n", + "\n", + "from pprint import pprint" + ] + }, + { + "cell_type": "markdown", + "id": "58a65b4d-42a7-49b7-807f-150daf3928e5", + "metadata": {}, + "source": [ + "## Search for SMAP data\n", + "\n", + "We will use `earthaccess` to search for SMAP Level 3 files for March 2017. The first step is to authenticate using `earthaccess.login`. We can then use `search_data` to search for data." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "04c73ccc-c8dc-4dcb-84bf-962f8b0e6c84", + "metadata": {}, + "outputs": [], + "source": [ + "auth = earthaccess.login()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1b04c8b8-fe00-4452-9989-8a32012ed338", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Granules found: 31\n" + ] + } + ], + "source": [ + "results = earthaccess.search_data(\n", + " short_name = 'SPL3SMP',\n", + " version = '008',\n", + " cloud_hosted = False,\n", + " temporal = ('2017-03-01','2017-03-31')\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "dd8b84a6-6085-40a1-bebf-792ad2605549", + "metadata": {}, + "source": [ + "## Download files\n", + "\n", + "If you haven't already, we'll download the files to a local directory. This is defined in the `DOWNLOAD_PATH` constant. In this example, we'll use the `Path` object from the [`pathlib`](https://docs.python.org/3/library/pathlib.html) package to build a path to a directory `smap_data` under the current working directory. `Path` objects have methods to return the current working directory `.cwd()`, make directories `.mkdir()`, and search using globbing `.glob()`.\n", + "\n", + "
\n", + "Tip: If you want to download files to a different directory change the cell below to \n", + "\n", + "```\n", + "DOWNLOAD_PATH = Path(\"path-to-download-directory\")\n", + "```\n", + "
\n", + "\n", + "`earthaccess.download` checks if the files already exist in the local download directory." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "4d7cb4e8-0854-4dfa-b2a0-28fffca94305", + "metadata": {}, + "outputs": [], + "source": [ + "DOWNLOAD_PATH = Path.cwd() / \"smap_data\"\n", + "DOWNLOAD_PATH.mkdir(parents=True, exist_ok=True) # creates parents if they don't exist and fails silently if path exists\n", + "\n", + "#smap_files = earthaccess.download(results, str(DOWNLOAD_PATH))" + ] + }, + { + "cell_type": "markdown", + "id": "2696e5a4-92be-4860-a84b-7ea387ea25bf", + "metadata": {}, + "source": [ + "I then use `.glob('*.h5')` to get a list of SMAP files in the `DOWNLOAD_PATH`" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a474c513-0473-43eb-b2d1-f386c52272b5", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170323_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170326_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170325_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170304_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170330_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170312_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170306_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170317_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170301_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170322_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170328_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170302_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170327_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170313_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170308_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170329_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170310_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170311_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170303_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170307_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170331_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170318_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170314_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170305_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170319_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170309_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170315_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170321_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170320_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170324_R18290_001.h5'),\n", + " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170316_R18290_001.h5')]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "smap_files = list(DOWNLOAD_PATH.glob('*.h5')) # .glob() returns a generator list() turn it into a list \n", + "smap_files" + ] + }, + { + "cell_type": "markdown", + "id": "4f49af27-5890-4b0e-807c-d7394594d008", + "metadata": {}, + "source": [ + "## Read data from HDF5 file using `h5py`\n", + "\n", + "HDF5 files are hierarchical data structures that consist of _Groups_ and _Datasets_. Groups contain sub-groups and Datasets. Datasets are equivalent to Variables in NetCDF files. Both Groups and Datasets can have attributes. Datasets are multidimensional arrays similar to numpy arrays and have `shape`, `ndim`, `dtype` attributes the same as numpy arrays.\n", + "\n", + "The best way to explore an HDF5 file is to use a \"viewer\". [MyHDF5](https://myhdf5.hdfgroup.org/) is one such tool. You can upload a file from your local machine or point to a URL for a file." + ] + }, + { + "cell_type": "markdown", + "id": "83ea9670-0d39-4ab2-bc10-bcfb2d05fa46", + "metadata": {}, + "source": [ + "We open an HDF5 file using `h5py.File`, which returns a file object. This file object is also the _root_ group for the file. " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "2113e065-5aa3-4a9f-a537-170cd92e69ec", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "root = h5py.File(smap_files[0], 'r')\n", + "root" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f16419b2-304b-4d38-978c-e47ba23d9c31", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "root.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "ce4f263a-0233-42e4-a904-658c94a7cb07", + "metadata": {}, + "source": [ + "_Add examples of accessing Groups by path, accessing attributes and data arrays, as well as dimensions_\n", + "\n", + "A HDF5 `Dataset` can be accessed using a similar syntax to how you would access a file on your hard drive. For example we can access the `soil_moisture` data set for the AM pass with the following command. " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "bf41372e-df90-4a42-adf4-ebab4b210909", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "root['Soil_Moisture_Retrieval_Data_AM/soil_moisture']" + ] + }, + { + "cell_type": "markdown", + "id": "8a4b57b9-593e-4634-9c85-91fd150e4c72", + "metadata": {}, + "source": [ + "We can see that this is a data array with shape 406 x 964 containing 32 bit floating point numbers (`\n", + "Tip: The non-numerical data attributes are byte strings, these can be converted to strings using `decode`\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "adc57f9e-6f08-460f-b15b-eadfde6d3d74", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "_FillValue: -9999.0\n", + "coordinates: b'/Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude'\n", + "long_name: b'Representative DCA soil moisture measurement for the Earth based grid cell.'\n", + "units: b'cm**3/cm**3'\n", + "valid_max: 0.5\n", + "valid_min: 0.019999999552965164\n" + ] + } + ], + "source": [ + "for key, value in root['Soil_Moisture_Retrieval_Data_AM/soil_moisture'].attrs.items():\n", + " print(f\"{key}: {value}\")" + ] + }, + { + "cell_type": "markdown", + "id": "1c6b8ff0-e329-4505-a8e1-3e607a9887ea", + "metadata": {}, + "source": [ + "## _Optional_: An alternative way to access Groups and Datasets\n", + "\n", + "An alternative way to list `Groups` and `Datasets` in the file is to use the `visit` and `visititems` methods. Both these methods iterate over the objects in a file. They take a function name as an argument. `visit` takes a function with the form:\n", + "\n", + "```\n", + "myfunc()\n", + "```\n", + "\n", + "This function can be used to return a list of all Groups and Datasets in the file. In the example below we create an empty list and then pass the `list.append` method, which is a function, to visit." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "91d27b73-0d8b-4ebe-baed-c3c5324836ec", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['Metadata',\n", + " 'Metadata/AcquisitionInformation',\n", + " 'Metadata/AcquisitionInformation/platform',\n", + " 'Metadata/AcquisitionInformation/platformDocument',\n", + " 'Metadata/AcquisitionInformation/radar',\n", + " 'Metadata/AcquisitionInformation/radarDocument',\n", + " 'Metadata/AcquisitionInformation/radiometer',\n", + " 'Metadata/AcquisitionInformation/radiometerDocument',\n", + " 'Metadata/DataQuality',\n", + " 'Metadata/DataQuality/CompletenessOmission',\n", + " 'Metadata/DataQuality/DomainConsistency',\n", + " 'Metadata/DatasetIdentification',\n", + " 'Metadata/Extent',\n", + " 'Metadata/GridSpatialRepresentation',\n", + " 'Metadata/GridSpatialRepresentation/Column',\n", + " 'Metadata/GridSpatialRepresentation/GridDefinition',\n", + " 'Metadata/GridSpatialRepresentation/GridDefinitionDocument',\n", + " 'Metadata/GridSpatialRepresentation/Row',\n", + " 'Metadata/Lineage',\n", + " 'Metadata/Lineage/EASEGRID_LON_M',\n", + " 'Metadata/Lineage/InputConfiguration',\n", + " 'Metadata/Lineage/L2_SM_P',\n", + " 'Metadata/Lineage/MetadataConfiguration',\n", + " 'Metadata/Lineage/OutputConfiguration',\n", + " 'Metadata/Lineage/RunConfiguration',\n", + " 'Metadata/OrbitMeasuredLocation',\n", + " 'Metadata/ProcessStep',\n", + " 'Metadata/ProductSpecificationDocument',\n", + " 'Metadata/QADatasetIdentification',\n", + " 'Metadata/SeriesIdentification',\n", + " 'Soil_Moisture_Retrieval_Data_AM',\n", + " 'Soil_Moisture_Retrieval_Data_AM/EASE_column_index',\n", + " 'Soil_Moisture_Retrieval_Data_AM/EASE_row_index',\n", + " 'Soil_Moisture_Retrieval_Data_AM/albedo',\n", + " 'Soil_Moisture_Retrieval_Data_AM/albedo_scah',\n", + " 'Soil_Moisture_Retrieval_Data_AM/albedo_scav',\n", + " 'Soil_Moisture_Retrieval_Data_AM/boresight_incidence',\n", + " 'Soil_Moisture_Retrieval_Data_AM/bulk_density',\n", + " 'Soil_Moisture_Retrieval_Data_AM/clay_fraction',\n", + " 'Soil_Moisture_Retrieval_Data_AM/freeze_thaw_fraction',\n", + " 'Soil_Moisture_Retrieval_Data_AM/grid_surface_status',\n", + " 'Soil_Moisture_Retrieval_Data_AM/landcover_class',\n", + " 'Soil_Moisture_Retrieval_Data_AM/landcover_class_fraction',\n", + " 'Soil_Moisture_Retrieval_Data_AM/latitude',\n", + " 'Soil_Moisture_Retrieval_Data_AM/latitude_centroid',\n", + " 'Soil_Moisture_Retrieval_Data_AM/longitude',\n", + " 'Soil_Moisture_Retrieval_Data_AM/longitude_centroid',\n", + " 'Soil_Moisture_Retrieval_Data_AM/radar_water_body_fraction',\n", + " 'Soil_Moisture_Retrieval_Data_AM/retrieval_qual_flag',\n", + " 'Soil_Moisture_Retrieval_Data_AM/retrieval_qual_flag_scah',\n", + " 'Soil_Moisture_Retrieval_Data_AM/retrieval_qual_flag_scav',\n", + " 'Soil_Moisture_Retrieval_Data_AM/roughness_coefficient',\n", + " 'Soil_Moisture_Retrieval_Data_AM/roughness_coefficient_scah',\n", + " 'Soil_Moisture_Retrieval_Data_AM/roughness_coefficient_scav',\n", + " 'Soil_Moisture_Retrieval_Data_AM/soil_moisture',\n", + " 'Soil_Moisture_Retrieval_Data_AM/soil_moisture_error',\n", + " 'Soil_Moisture_Retrieval_Data_AM/soil_moisture_scah',\n", + " 'Soil_Moisture_Retrieval_Data_AM/soil_moisture_scav',\n", + " 'Soil_Moisture_Retrieval_Data_AM/static_water_body_fraction',\n", + " 'Soil_Moisture_Retrieval_Data_AM/surface_flag',\n", + " 'Soil_Moisture_Retrieval_Data_AM/surface_temperature',\n", + " 'Soil_Moisture_Retrieval_Data_AM/surface_water_fraction_mb_h',\n", + " 'Soil_Moisture_Retrieval_Data_AM/surface_water_fraction_mb_v',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_3_corrected',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_4_corrected',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_h_corrected',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_h_uncorrected',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_qual_flag_3',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_qual_flag_4',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_qual_flag_h',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_qual_flag_v',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_time_seconds',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_time_utc',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_v_corrected',\n", + " 'Soil_Moisture_Retrieval_Data_AM/tb_v_uncorrected',\n", + " 'Soil_Moisture_Retrieval_Data_AM/vegetation_opacity',\n", + " 'Soil_Moisture_Retrieval_Data_AM/vegetation_opacity_scah',\n", + " 'Soil_Moisture_Retrieval_Data_AM/vegetation_opacity_scav',\n", + " 'Soil_Moisture_Retrieval_Data_AM/vegetation_water_content',\n", + " 'Soil_Moisture_Retrieval_Data_PM',\n", + " 'Soil_Moisture_Retrieval_Data_PM/EASE_column_index_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/EASE_row_index_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/albedo_dca_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/albedo_scah_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/albedo_scav_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/boresight_incidence_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/bulk_density_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/clay_fraction_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/freeze_thaw_fraction_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/grid_surface_status_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/landcover_class_fraction_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/landcover_class_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/latitude_centroid_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/latitude_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/longitude_centroid_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/longitude_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/radar_water_body_fraction_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/retrieval_qual_flag_dca_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/retrieval_qual_flag_scah_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/retrieval_qual_flag_scav_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/roughness_coefficient_dca_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/roughness_coefficient_scah_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/roughness_coefficient_scav_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/soil_moisture_dca_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/soil_moisture_error_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/soil_moisture_scah_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/soil_moisture_scav_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/static_water_body_fraction_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/surface_flag_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/surface_temperature_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/surface_water_fraction_mb_h_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/surface_water_fraction_mb_v_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_3_corrected_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_4_corrected_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_h_corrected_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_h_uncorrected_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_qual_flag_3_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_qual_flag_4_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_qual_flag_h_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_qual_flag_v_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_time_seconds_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_time_utc_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_v_corrected_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/tb_v_uncorrected_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/vegetation_opacity_dca_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/vegetation_opacity_scah_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/vegetation_opacity_scav_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/vegetation_water_content_pm']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with h5py.File(smap_files[0], 'r') as root:\n", + " list_of_names = []\n", + " root.visit(list_of_names.append)\n", + "list_of_names" + ] + }, + { + "cell_type": "markdown", + "id": "5e44f69e-1dd6-44eb-9aaf-744aeb888f76", + "metadata": {}, + "source": [ + "We can also write a function to look for members with albedo in the name. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "147e1bd7-07ee-4609-9943-cec5ca527a93", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", + " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", + " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", + " ...,\n", + " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", + " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", + " [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n", + " dtype=float32)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with h5py.File(smap_files[0], 'r') as root:\n", + " soil_moisture = root['Soil_Moisture_Retrieval_Data_AM/soil_moisture'][:]\n", + "soil_moisture" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "06263ffa-d2fb-4e12-86d3-e2cfff25677e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Soil_Moisture_Retrieval_Data_AM/albedo',\n", + " 'Soil_Moisture_Retrieval_Data_AM/albedo_scah',\n", + " 'Soil_Moisture_Retrieval_Data_AM/albedo_scav',\n", + " 'Soil_Moisture_Retrieval_Data_PM/albedo_dca_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/albedo_scah_pm',\n", + " 'Soil_Moisture_Retrieval_Data_PM/albedo_scav_pm']" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list_of_names = []\n", + "def get_albedo(name):\n", + " if 'albedo' in name.lower():\n", + " list_of_names.append(name)\n", + "\n", + "root.visit(get_albedo)\n", + "list_of_names" + ] + }, + { + "cell_type": "markdown", + "id": "17dc5739-e32f-42e0-af28-55e66bf6eebe", + "metadata": {}, + "source": [ + "`visititems` not only takes a function with the member name but also the actual Group or Dataset object.\n", + "\n", + "```\n", + "myfunc(name, obj)\n", + "```\n", + "\n", + "we can use this to get particular variables or do some form of processing based on whether the object is a Group or a Dataset.\n", + "\n", + "In the example below, we will extract the data arrays for albedo variables for the AM pass. I first look for `AM` in the name and then check if the name contains `albedo` as in the `visit` example above. I only want `Datasets`. `Groups` do not contain data arrays. To do this, I use the `isinstance` function that is part of the standard library. `isinstance` take `obj` as an argument and checks to see if it is of the type `h5py.Dataset`.\n", + "\n", + "If all three of these conditions are `True`, I then want to write the variables to a dictionary. I want to use the name of the `Dataset` as the key for each data array. I can split the `name` string on the `/` character and take the last element of the list that is returned. To assign the data array and not the `Dataset` object, I use the `[:]` syntax. " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "c17e3b4f-5283-4d1d-96e1-965a623e361c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'albedo': array([[-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " ...,\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [ 2.8333332e-02, 0.0000000e+00, 0.0000000e+00, ...,\n", + " 0.0000000e+00, 0.0000000e+00, 2.9999997e-02]], dtype=float32),\n", + " 'albedo_scah': array([[-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " ...,\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [ 2.3611115e-02, 0.0000000e+00, 0.0000000e+00, ...,\n", + " 0.0000000e+00, 0.0000000e+00, 2.5000004e-02]], dtype=float32),\n", + " 'albedo_scav': array([[-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " ...,\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", + " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", + " [ 2.3611115e-02, 0.0000000e+00, 0.0000000e+00, ...,\n", + " 0.0000000e+00, 0.0000000e+00, 2.5000004e-02]], dtype=float32)}" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dict_of_vars = {}\n", + "def get_vars(name, obj):\n", + " if ('AM' in name) & ('albedo' in name) & isinstance(obj, h5py.Dataset):\n", + " dict_of_vars[name.split('/')[-1]] = obj[:]\n", + "\n", + "root.visititems(get_vars)\n", + "dict_of_vars" + ] + }, + { + "cell_type": "markdown", + "id": "084a4e87-ad0b-4379-af68-bfd8faf5f9bc", + "metadata": {}, + "source": [ + "The `h5py.File` opens the file. The file needs to be closed, otherwise it remains in memory. If you are reading multiple files, this could lead to memory problems." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "ded43124-14cc-4be6-b690-be4f7f3bcceb", + "metadata": {}, + "outputs": [], + "source": [ + "root.close()" + ] + }, + { + "cell_type": "markdown", + "id": "1304aa23-5196-4c6b-b92d-d2ed050f3fe0", + "metadata": {}, + "source": [ + "## Creating a georeferenced `xarray.Dataset` for a subset of variables from an HDF5 SMAP file\n", + "\n", + "Fully georeferenced data sets are required for Earth science analysis workflows. This may be as simple as plotting a map. You may want to transform the data so it can be used with another data set, or you may want to perform some geospatial subsetting.\n", + "\n", + "Unfortunately, the SMAP HDF5 files do not contain sufficient information to geolocate data on the Earth surface. This is is the case both for using the data with software tools to display or manipulate the data, and for humans trying to understand the data. The following example shows:\n", + "\n", + "1. how to read a subset of `Datasets` (variables) from the HDF5 file and create a geospatially aware `xarray.Dataset`;\n", + "2. how to mask missing data;\n", + "3. how to add coordinate information to the dataset;\n", + "4. how to add a coordinate reference system information the dataset." + ] + }, + { + "cell_type": "markdown", + "id": "aa714ea3-2dd2-4831-b482-a0421e0979f9", + "metadata": {}, + "source": [ + "`xarray` can read a group from an HDF5 file. In the following example, we read the `Soil_Moisture_Retrieval_Data_AM` group." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "759e1df8-eb4f-472d-8175-69e634c30503", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.Dataset>\n",
+       "Dimensions:                      (phony_dim_0: 406, phony_dim_1: 964,\n",
+       "                                  phony_dim_2: 3)\n",
+       "Dimensions without coordinates: phony_dim_0, phony_dim_1, phony_dim_2\n",
+       "Data variables: (12/53)\n",
+       "    EASE_column_index            (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    EASE_row_index               (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    albedo                       (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    albedo_dca                   (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    albedo_scah                  (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    albedo_scav                  (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    ...                           ...\n",
+       "    tb_v_uncorrected             (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    vegetation_opacity           (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    vegetation_opacity_dca       (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    vegetation_opacity_scah      (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    vegetation_opacity_scav      (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    vegetation_water_content     (phony_dim_0, phony_dim_1) float32 ...
" + ], + "text/plain": [ + "\n", + "Dimensions: (phony_dim_0: 406, phony_dim_1: 964,\n", + " phony_dim_2: 3)\n", + "Dimensions without coordinates: phony_dim_0, phony_dim_1, phony_dim_2\n", + "Data variables: (12/53)\n", + " EASE_column_index (phony_dim_0, phony_dim_1) float32 ...\n", + " EASE_row_index (phony_dim_0, phony_dim_1) float32 ...\n", + " albedo (phony_dim_0, phony_dim_1) float32 ...\n", + " albedo_dca (phony_dim_0, phony_dim_1) float32 ...\n", + " albedo_scah (phony_dim_0, phony_dim_1) float32 ...\n", + " albedo_scav (phony_dim_0, phony_dim_1) float32 ...\n", + " ... ...\n", + " tb_v_uncorrected (phony_dim_0, phony_dim_1) float32 ...\n", + " vegetation_opacity (phony_dim_0, phony_dim_1) float32 ...\n", + " vegetation_opacity_dca (phony_dim_0, phony_dim_1) float32 ...\n", + " vegetation_opacity_scah (phony_dim_0, phony_dim_1) float32 ...\n", + " vegetation_opacity_scav (phony_dim_0, phony_dim_1) float32 ...\n", + " vegetation_water_content (phony_dim_0, phony_dim_1) float32 ..." + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gds = xr.open_dataset(smap_files[0], group='Soil_Moisture_Retrieval_Data_AM') #, decode_coords='all', decode_cf=True)\n", + "gds" + ] + }, + { + "cell_type": "markdown", + "id": "05d558e4-448d-4c7a-a188-ea5cf27dc124", + "metadata": {}, + "source": [ + "53 variables are loaded from `Soil_Moisture_Retrieval_Data_AM`. However, we can immediately see some issues. The dimensions are named `phony_dim_0`, `phony_dim_1`, and `phony_dim_2`, which is not much help. This is because no dimensions are assigned to Datasets so `xarray` has to generate some dummy variables. The same problem arises if the Python binding for HDF5 library, `h5py`, were used.\n", + " \n", + "Let's change the names of the dimensions to something useful and meaningful. The first thing is to figure out what the dimensions are. This is more diffcult than is should be. Some of the metadata is wrong. Some is confusing. The description of the `landcover_class` offers some information, albeit misleading, but it is a clue.\n", + "\n", + "> An enumerated type that specifies the most common landcover class in the grid cell based on the IGBP landcover map. The array order is longitude (ascending), followed by latitude (descending), and followed by IGBP land cover type descending dominance (only the first three types are listed)\n", + "\n", + "This description states that the dimensions of the landcover_class array are longitude, latitude and IGBP land cover class. The data are in projected coordinates (EASE Grid 2.0) **so longitude and latitude cannot be dimensions**. Longitude and latitude must be 2D arrays for a projected dataset. However, x and y or easting and northing are likely candidates. However, the 3rd dimension appears to be land cover class. Plotting the `soil_moisture` variable also shows that `phony_dim_1` is the x-dimension and `phony_dim_0` is the y-dimension in cartesian coordinates. So we'll rename the coordinates:\n", + "\n", + " - `phony_dim_0 --> y`\n", + " - `phony_dim_1 --> x`\n", + " - `phony_dim_2 --> igbp_class`\n", + "\n", + "We can do this using `rename_dims`, which takes a dictionary as an argument, where keys are the old dimension name and values are the new dimension name." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "a445433e-d160-4ca2-9a58-a0b74ccf348b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
+       "Dimensions without coordinates: y, x, igbp_class\n",
+       "Data variables: (12/53)\n",
+       "    EASE_column_index            (y, x) float32 ...\n",
+       "    EASE_row_index               (y, x) float32 ...\n",
+       "    albedo                       (y, x) float32 ...\n",
+       "    albedo_dca                   (y, x) float32 ...\n",
+       "    albedo_scah                  (y, x) float32 ...\n",
+       "    albedo_scav                  (y, x) float32 ...\n",
+       "    ...                           ...\n",
+       "    tb_v_uncorrected             (y, x) float32 ...\n",
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+       "    vegetation_opacity_scav      (y, x) float32 ...\n",
+       "    vegetation_water_content     (y, x) float32 ...
" + ], + "text/plain": [ + "\n", + "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", + "Dimensions without coordinates: y, x, igbp_class\n", + "Data variables: (12/53)\n", + " EASE_column_index (y, x) float32 ...\n", + " EASE_row_index (y, x) float32 ...\n", + " albedo (y, x) float32 ...\n", + " albedo_dca (y, x) float32 ...\n", + " albedo_scah (y, x) float32 ...\n", + " albedo_scav (y, x) float32 ...\n", + " ... ...\n", + " tb_v_uncorrected (y, x) float32 ...\n", + " vegetation_opacity (y, x) float32 ...\n", + " vegetation_opacity_dca (y, x) float32 ...\n", + " vegetation_opacity_scah (y, x) float32 ...\n", + " vegetation_opacity_scav (y, x) float32 ...\n", + " vegetation_water_content (y, x) float32 ..." + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gds = gds.rename_dims({'phony_dim_0': 'y', 'phony_dim_1': 'x', 'phony_dim_2': 'igbp_class'})\n", + "gds" + ] + }, + { + "cell_type": "markdown", + "id": "de673df1-483f-47b0-9e9a-c1aadd711629", + "metadata": {}, + "source": [ + "Another issue is that there are no coordinate variables, again because the HDF5 file was not created with any. Inspecting the variables, we see that there are two possible candidate coordinate variables: `latitude` and `longitude`. So let's plot them." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "96f26e1e-2c6d-4f57-bf51-72653e2c76d9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gds.latitude.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "fe9bc187-b64d-414d-9074-5bc5e33c3774", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "array(-9999.) \n", + "array(83.63197327)\n" + ] + } + ], + "source": [ + "print(gds.latitude.min(), gds.latitude.max())" + ] + }, + { + "cell_type": "markdown", + "id": "ba404a65-2dd2-4f1b-a538-40861dfcd199", + "metadata": {}, + "source": [ + "If we plot both latitude and soil_moisture, we can see that latitude values have been masked with -9999. where there are no valid data values. **This is not a good or sensible approach because latitude and longitude are coordinates. As long as latitude and longitude values are between -90 and 90, and -180 and 180 (or 0 and 360), they are valid coordinates. Under NetCDF and CF conventions, coordinate values should not have missing values. We also need coordinates for all grid cells for plotting and other operations.** " + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "18d8326c-fea7-4fb5-a7bc-e38f4bbfdd05", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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CATgdrWO6ltmbd955BwAwYcIEzTKO48AYA8dxBgVCPj4+uHDhAurUqaO1/Pz586hWrVqp2w4cOBA+Pj4G1XX8+PEGrQfQrUzygoperCtygjNlWYQQYgymPv8IJCIIdSSBhNpVUlJSSqTbt29r/jXEwIEDMWHCBBw6dAgqlQoqlQoHDx5EVFQUBg4cqHc7nucNDsoAIDc3F3Xr1jVoXQrMTIz6XhBiGHv5kWBt9SWmxQn0PJVJLWYIDAwsNRli7ty5aN26NTp37gxHR0c4Ojqia9eu6NSpU6l9zKoSfbIVRB2hibWjHwnElpjyGKvVZaLJyhKIRRCIxTpS+VrMZs2aBY7jtJKfn5/mdcYYZs2aBX9/fzg6OqJDhw64fPmyVh4ymQzjx4+Ht7c3nJ2d0adPH9y/f19rnczMTAwZMgTu7u5wd3fHkCFDkJWVVeH3X5YffvgBbdu2hb+/v6ZzfXx8PP7v//7PoO0lEgm2bduG69evY8uWLdi5cydu3bqF7777DhKJxOB63LhxA2vWrMHcuXMxZ84crVReZg3MVq1ahWbNmsHNzQ1ubm6IiIjA3r17Na8b60AhtsdWgwpTtp5UBP1IKMnagk5LP56JNqFYpDeVV9OmTZGWlqZJFy9e1Ly2aNEiLFmyBCtWrMCpU6fg5+eHyMhI5ObmataJjo7Grl27sHXrVhw7dgx5eXno3bu3Vl+uQYMG4dy5c9i3bx/27duHc+fOYciQIZXbCXqsWrUKEydORM+ePZGVlaWph4eHB+Lj48uVV4MGDfD222+jd+/eBre2FVu7di2Cg4PxxRdf4JdffsGuXbs06ddffy1XXoCZA7NatWphwYIFOH36NE6fPo1OnTrhjTfe0ARfxjpQ7BmdhImloONDP9o3/0M/NLQZc4BZkUgEPz8/TapevToAdSNIfHw8ZsyYgf79+yMkJASbNm1CQUEBfvzxRwBAdnY21q9fj8WLF6NLly5o2bIlNm/ejIsXL+LPP/8EAFy9ehX79u3DunXrEBERgYiICKxduxa///47rl+/bryd8p/ly5dj7dq1mDFjBoTC/z25Gh4erhV0VrW5c+di3rx5SE9Px7lz55CcnKxJZ8+eLXd+Zg3MXn/9dfTs2RMNGzZEw4YNMW/ePLi4uODEiRNGO1AsEZ2E/8dWT8LWcMK3ZfQdI7ZCIBL9dzvzhSRSt5jl5ORopdIGXL158yb8/f0RFBSEgQMHajrIp6SkID09HV27dtWsK5VK0b59exw/fhwAcObMGSgUCq11/P39ERISolnn77//hru7O1q3bq1Z55VXXoG7u7tmHWNKSUlBy5YtSyyXSqXIz883enn6ZGZm4u233zZafhbTx0ylUmHr1q3Iz89HRESE0Q4UQozBVlseKYD5H2sL3K2lvnQ8V05ZLWYBAQGa/lzu7u6IjY3VmU/r1q3x/fffY//+/Vi7di3S09PRpk0bPH36VDOtka+vr9Y2vr6+mtfS09MhkUjg6elZ6jq6nlT08fExytRJLwoKCtI5wOzevXsRHBxs9PL0efvtt5GQkGC0/Mz+vO3FixcRERGBoqIiuLi4YNeuXQgODtYEVroOlOIOfoYcKLrIZDKtXxU5OTnGejtVxloGSLX0cb8IsVR0PBNdiofHKLGcVw8we+/ePbi5uWmWS6VSnfn06NFD8//Q0FBERESgXr162LRpE1555RUA6jHAnlc8HlhpXlxH1/qG5FMRn3zyCT7++GMUFRWBMYaTJ0/ip59+QmxsLNatW2f08p63bNkyzf/r16+Pzz//HCdOnEBoaCjEYrHWus+Ps2YIswdmjRo1wrlz55CVlYUdO3Zg2LBhSEpK0rxujAPlRbGxsZg9e3aJ5bW6TETOyar9MItRAEOsFf1IMG9ZxmBt9bVnnIDTM8Cs+hpX/PBceTk7OyM0NBQ3b95E3759AagbO56fvDsjI0PTOOLn5we5XI7MzEytxpCMjAy0adNGs86jR49KlPX48eMSjSzGMGLECCiVSkyZMgUFBQUYNGgQatasiaVLl5Y6BtmFCxcMLkPf7AFxcXFaf7u4uCApKUkrfgHUMYzVBWYSiQT169cHoO6wd+rUKSxduhSffvopgMofKLpMmzYNEyf+73HnnJwcBAQElLvu1jJyNLE+thpUUEBAqlp5jzFLP48L9AwmK+Ar94CbTCbD1atX0a5dOwQFBcHPzw+JiYmaPltyuRxJSUlYuHAhACAsLAxisRiJiYkYMGAAACAtLQ2XLl3CokWLAAARERHIzs7GyZMn8fLLLwMA/vnnH2RnZ5d6Ta6MDz74AB988AGePHli8KCvLVq00JohoDT6HiRMSUmpUH0NYTF9zIoxxiCTybQOlGLFB0rxB/z8gVKs+EAp7SCQSqWaXxkV/bVBLEN5T6im7CtjLX2AiOWg/ljkRRwn0EzLpJW48l2+J0+ejKSkJKSkpOCff/7BW2+9hZycHAwbNgwcxyE6Ohrz58/Hrl27cOnSJQwfPhxOTk4YNGgQAMDd3R2jRo3CpEmTcODAASQnJ2Pw4MEIDQ1Fly5dAABNmjRB9+7d8cEHH+DEiRM4ceIEPvjgA/Tu3RuNGjUy+r7p1KmTZow0b29vTVCWk5ODTp066d3u+RkCduzYgaCgIKxcuVLzJOXKlStRr1497Nixw6B6zJkzBwUFBSWWFxYWWt84ZtOnT8fRo0dx584dXLx4ETNmzMDhw4fx3nvvGe1AsWS2ehKmEz6xR5YcuBuDrf6osXQCiRhCHUkgEZe98XPu37+Pd999F40aNUL//v0hkUhw4sQJzZhdU6ZMQXR0NMaOHYvw8HA8ePAACQkJcHV11eQRFxeHvn37YsCAAWjbti2cnJzw22+/aQ1VsWXLFoSGhqJr167o2rUrmjVrhh9++ME4O+MFhw8fhlwuL7G8qKgIR48e1bvd87MDzJ8/H8uWLcPo0aPRrFkzNGvWDKNHj0Z8fDy+/PJLg+oxe/Zs5OXllVheUFCgs9tUWcx6K/PRo0cYMmQI0tLS4O7ujmbNmmHfvn2IjIwEoD5QCgsLMXbsWGRmZqJ169Y6DxSRSIQBAwagsLAQnTt3xsaNG7UOFFJ+1tKPiBiHrd7OpFunxNrpG7OsvOOYbd26tfRyOA6zZs3CrFmz9K7j4OCA5cuXY/ny5XrX8fLywubNm8tVt/J6vo/YlStXtB72U6lU2LdvH2rWrGlQXhcvXkRQUFCJ5UFBQbhy5YpBeei7JXr+/Hl4eXkZlMfzzBqYrV+/vtTXjXWglAedyElpKKgwPfqRoJ+11ZeUX/G4ZSWWK+13EPXiPmIcx+m8Zeno6GhwTNCkSRPMnTsX69evh4ODAwB1/7u5c+eiSZMmpW7r6empqUfDhg21gjOVSoW8vDyMGTOmHO9Mzeyd/60dXTQIIaRs9KOmYjgBp7vFTGD84SesRUpKChhjqFu3Lk6ePKmZwQBQP1Do4+Nj8F2z1atX4/XXX0dAQACaN28OQN3SxXEcfv/991K3jY+PB2MMI0eOxOzZs+Hu7q5Vjzp16iAiIqLc748CMztiqydGSz4J22rgTj8SCDENgUgMgahkfzKByH5bzIr7xfH/jeVWGS+//DJSUlKwefNmXLt2DYwxvPPOOxg0aBCcnZ1L3XbYsGFQKpUAgC5duqBWrVqVrg9AgZlOFFQQUrVs9TtmjLKsrb5VhX5o/EcgVCddywlu3LiBw4cPIyMjo0Sg9sUXXxiUh5OTEz788MMKlS8SiTB27FhcvXq1QtvrzNNoORFSCXQS1s2SL5yEkKrHicXgxCVbzDix/baYFVu7di0++ugjeHt7w8/Pr8QMBPoCs927d6NHjx4Qi8XYvXt3qWX06dOnzHq0bt0aycnJmpa8yqLAjBACgIJAa0U/anSzmeOZWsz0mjt3LubNm6cZkN5Qffv21czrWTzrgS4cx+kdYPZ5Y8eOxaRJk3D//n2EhYWVuAWqb/YAfSxugFlrRAOJ6marY6dZy4WJVIwlfJ/pGCPFOJEInEisI1G7SmZmJt5+++1yb/f8DAE8z+tNhgRlAPDOO+8gJSUFEyZMQNu2bdGiRQu0bNlS8295UWBmASw1qLCmIJCoWUJQYYks9TtmCWjfWDhO+L9Ws+cTRy1mb7/9NhISEiq8vUKhQMeOHXHjxo1K1SMlJaVEKp5Z4Pbt2+XOj0JuQoiGpXY8t6ZbaIQYU3ELWcnlSjPUxrLUr18fn3/+OU6cOIHQ0FCIX+iLV9bk4WKxGJcuXSpzvsyyGKtvWTEKzPSwmf4JRCe60BNCnmex5wTqY6bXmjVr4OLigqSkJCQlJWm9xnFcmYEZAAwdOhTr16/HggULKlWXW7duIT4+HlevXgXHcWjSpAmioqJQr169cudFgRmxGbba2kM/EkhZLDaoIJWmfipTomM5tZilpKRUOg+5XI5169YhMTER4eHhJTruL1mypMw89u/fjz59+qBFixZo27YtGGM4fvw4mjZtit9++00zzaShqI8ZIYQYmbX15TRlfS21LIslEutPBIA6uLp+/bpmsNfyuHTpEl566SW4ubnhxo0bSE5O1qRz584ZlMfUqVMRExODf/75B0uWLEFcXBz++ecfREdHl/uJUYACM6tkqydGS7hAEdOyiQtnFaF9QwCAEwj1JntXUFCAUaNGwcnJCU2bNkVqaioAdd8yQ29NHjp0SG86ePCgQXlcvXoVo0aNKrF85MiRBk+E/jwKzEpBTysRUjpregqUfiQQa8QJdQ2VIQYnpBazadOm4fz58zh8+LBmAnJAPT3Stm3bTFaP6tWr62xdO3funGZYjvKgPmZGQn08SFWy1P5zhJAqJhDo6fxP7Sq//vortm3bhldeeUXrycrg4GDcunXLoDz69eun86lMjuPg4OCA+vXrY9CgQWjUqJHePD744AN8+OGHuH37Ntq0aQOO43Ds2DEsXLgQkyZNKvf7ok/WQBR0kcqwppYlQqoa3Y0wXPGUTLqSvXv8+LHOFqn8/HyDh8Bwd3fHwYMHcfbsWc02ycnJOHjwIJRKJbZt24bmzZvjr7/+0pvH559/ji+++ALLly9H+/bt8dprr2HFihWYNWsWZsyYUe73RYGZgehiV3F0EiaEVJTdn3t1DS6rbwgNO9OqVSv88ccfmr+LA6u1a9ciIiLCoDz8/PwwaNAg3L59Gzt27MDOnTtx69YtDB48GPXq1cPVq1cxbNiwUjvxcxyHmJgY3L9/H9nZ2cjOzsb9+/cRFRVVoTHSKDAjZaLWHt0oCLQ+1vYjwdrqa+0s8fyjezom3YPO2pvY2FjMmDEDH330EZRKJZYuXYrIyEhs3LgR8+bNMyiP9evXIzo6GoLnbg0LBAKMHz8ea9asAcdxGDduHC5dumRQfq6urnB1da3Q+9GUX6mtiVHRSdi0LPEkTAghWmhKJr3atGmDv/76CwUFBahXrx4SEhLg6+uLv//+G2FhYQbloVQqce3atRLLr127ppkr08HBodSWr0ePHmHIkCHw9/eHSCSCUCjUSuVFnf+NiB4AILbCUh82MOV3zNrKsrb6mpJVP9AiEAICHZdqupUJAAgNDcWmTZsqvP2QIUMwatQoTJ8+Ha1atQLHcTh58iTmz5+PoUOHAgCSkpLQtGlTvXkMHz4cqamp+Pzzz1GjRo1KT/FEgVkZLPULbW0nRkIIIeXHOAEYV/Lmlq5l9mbPnj0QCoXo1q2b1vL9+/eD53n06NGjzDzi4uLg6+uLRYsW4dGjRwAAX19fxMTEaPqVde3aFd27d9ebx7Fjx3D06FG0aNGi4m/mOfTJEptjq7eELXUcLkv84UIqhn7sWSDq/K/X1KlTNbcbn8cYw9SpUw3KQygUYsaMGUhLS0NWVhaysrKQlpaG6dOna25D1q5dG7Vq1dKbR0BAABhjFXsTOlBgRgghVYQCHf0sdd9Y3A8NgUB/snM3b95EcHBwieWNGzfGv//+W+783Nzc4ObmVu7t4uPjMXXqVNy5c6fc2+pCn6wdo9Ye2y2LEGIbmECkN9k7d3d33L59u8Tyf//9t8Rk5FXpnXfeweHDh1GvXj24urrCy8tLK5UXfbIGsNR+ZoTYCnrYQH9Z1lZfay/L4nACddK13M716dMH0dHR2LVrF+rVqwdAHZRNmjQJffr0MVk94uPjjZofBWYWhk7ChBBCijGBUGfrGKM+Zvjqq6/QvXt3NG7cWNMH7P79+2jXrh2+/vprk9Vj2LBhBq23YMECjBkzBh4eHqWuRyE3IZVkqbeETVkW3RImFUE/9gxQ3GKmK9k5d3d3HD9+HH/88QfGjh2LSZMm4cCBAzh48GCZwY85zJ8/H8+ePStzPWoxI4QQYvOstkuKvicwqcUMgHo6pK5du6Jr164Gb7Ns2TKD150wYUJFqqWToU9uUmBmZHTLTz9L7UdECCGWisYxM764uDitvx8/foyCggJNK1tWVhacnJzg4+Nj1MDMUPTJGoiCLdtlq7fhKDDVz1JvCVdlHlVRFh1jJiAQAUIdiZ7KrLCUlBRNmjdvHlq0aIGrV6/i2bNnePbsGa5evYqXXnoJX375pVnqR4GZBbLUkzAhpGpRoKOf3f6ooT5mVerzzz/H8uXL0ahRI82yRo0aIS4uDp999plZ6kSfLDGY3Z4YLYytBu70I4GQkoqfyiyZKtbHbOXKlQgKCoKDgwPCwsJw9OhRI9fYuqSlpUGhUJRYrlKpNFM0mVq5A7Phw4fjyJEjRik8NjYWrVq1gqurK3x8fNC3b19cv35dax3GGGbNmgV/f384OjqiQ4cOuHz5stY6MpkM48ePh7e3N5ydndGnTx/cv3/fKHUkhFge+pGgn7XV15SsMvg34pRM27ZtQ3R0NGbMmIHk5GS0a9cOPXr0QGpqahVU3DRu3bqFzz77DO+++y4yMjIAAPv27SsRJ+jTuXNnfPDBBzh9+rSmc/7p06cxevRodOnSxah1bdeuHRwdHctcr9yBWW5uLrp27YoGDRpg/vz5ePDgQYUqCKhnbP/4449x4sQJJCYmQqlUomvXrsjPz9ess2jRIixZsgQrVqzAqVOn4Ofnh8jISOTm5mrWKR5gbuvWrTh27Bjy8vLQu3dvnXNomQJdNCwDtfYQW0LHmJ0y4q3MJUuWYNSoUXj//ffRpEkTxMfHIyAgAKtWraqCile9pKQkhIaG4p9//sHOnTuRl5cHALhw4QJmzpxpUB7fffcdatasiZdffhkODg6QSqVo3bo1atSogXXr1hmUx9mzZ3Hx4kXN3//3f/+Hvn37Yvr06ZDL5Zrle/bsQY0aNcrMr9yf7I4dO/DgwQOMGzcO27dvR506ddCjRw/88ssvOpsDS7Nv3z4MHz4cTZs2RfPmzbFhwwakpqbizJkzANStZfHx8ZgxYwb69++PkJAQbNq0CQUFBfjxxx8BANnZ2Vi/fj0WL16MLl26oGXLlti8eTMuXryIP//8s7xvjxCbYqs/EqwtSKH6WkZZ1qisKZlycnK0kkwm05mPXC7HmTNnSgwr0bVrVxw/frzK30dVmDp1KubOnYvExERIJBLN8o4dO+Lvv/82KI/q1atjz549uHbtGrZv346ff/4ZV69exZ49e+Dj42NQHqNHj8aNGzcAALdv38bAgQPh5OSE7du3Y8qUKeV+XxXqY1atWjVERUUhOTkZJ0+eRP369TFkyBD4+/sjJiYGN2/erEi2yM7OBgDN3FIpKSlIT0/XOpCkUinat2+vOZDOnDkDhUKhtY6/vz9CQkL0HmwymazEwWwIjjGDU2W5R4ylsozA3ssyRnmWWFbO8W+s6n2Vp7yqzsOU9TV2Wab83I1RljEwjtObACAgIADu7u6aFBsbqzOfJ0+eQKVSwdfXV2u5r68v0tPTq/x9VIWLFy+iX79+JZZXr14dT58+LVdederUQaNGjdCrVy80bNiwXNveuHEDLVq0AABs374dr732Gn788Uds3LgRO3bsKFdeQCU7/6elpSEhIQEJCQkQCoXo2bMnLl++jODg4BLjhJSFMYaJEyfi1VdfRUhICABoDpbSDqT09HRIJBJ4enrqXedFsbGxWgdyQEBAuepKTMOUJ0ZbLcsY3Np8TGURYiYqnulNAHDv3j1kZ2dr0rRp00rNj/svoCvGGCuxzFp4eHggLS2txPLk5GTUrFnToDwKCgowatQoODk5oWnTppr+dhMmTMCCBQsMyoMxBp7nAQB//vknevbsCUAdND958sSgPJ5X7sBMoVBgx44d6N27NwIDA7F9+3bExMQgLS0NmzZtQkJCAn744QfMmTOnXPmOGzcOFy5cwE8//VTitYocSKWtM23aNK0D+d69ewbVkU7khNgnawum6YeG7WClJABwc3PTSlKpVGc+3t7eEAqFJRosMjIySjR+WItBgwbh008/RXp6OjiOA8/z+OuvvzB58mQMHTrUoDymTZuG8+fP4/Dhw3BwcNAs79KlC7Zt22ZQHuHh4Zg7dy5++OEHJCUloVevXgDUd/0qsm/LHZjVqFEDH3zwAQIDA3Hy5EmcPn0aY8aMgaurq2adbt26lWueqvHjx2P37t04dOiQZiJSAPDz8wOAUg8kPz8/yOVyZGZm6l3nRVKptMTBbM3oJGwZqLWHGAN9x8jzymoxM5REIkFYWBgSExO1licmJqJNmzbGrLLJzJs3D7Vr10bNmjWRl5eH4OBgvPbaa2jTpo3BY5D9+uuvWLFiBV599VWtxpzg4GDcunXLoDzi4+Nx9uxZjBs3DjNmzED9+vUBAL/88kuF9m25hw6Oi4vD22+/rRVZvsjT0xMpKSll5sUYw/jx47Fr1y4cPnwYQUFBWq8HBQXBz88PiYmJaNmyJQB1B8akpCQsXLgQABAWFgaxWIzExEQMGDAAgPoW66VLl7Bo0aLyvj1CSCXkHP+GgkZSbm5tPjZZQGrKsoyBZ+qka3l5TZw4EUOGDEF4eDgiIiKwZs0apKamYsyYMZWvqBmIxWJs2bIFc+bMQXJyMnieR8uWLdGgQQOD83j8+LHOTv75+fkG3+Jt1qyZ1lOZxb766isIheUf1qTcgdmQIUPKXYg+H3/8MX788Uf83//9H1xdXTUtY+7u7nB0dATHcYiOjsb8+fPRoEEDzRAdTk5OGDRokGbdUaNGYdKkSahWrRq8vLwwefJkhIaGGn0MEltmbScrYjnMdexQEEiqmiUcYzwDVEYKzN555x08ffoUc+bMQVpaGkJCQrBnzx4EBgZWvqJmVK9ePdSrV69C27Zq1Qp//PEHxo8fD+B/XafWrl2LiIgIg/PJysrCL7/8glu3buGTTz6Bl5cXrly5Al9fX4P7uxUz62RbxWOndOjQQWv5hg0bMHz4cADAlClTUFhYiLFjxyIzMxOtW7dGQkKC1q3TuLg4iEQiDBgwAIWFhejcuTM2btxYoUjVWCzhC22pLPXXMX1mFWPsz5J+JOhH+8b+MMY0A5++uLwixo4di7FjbWOIEpVKhY0bN+LAgQPIyMjQdMAvdvDgwTLziI2NRffu3XHlyhUolUosXboUly9fxt9//42kpCSD6nHhwgV07twZHh4euHPnDj744AN4eXlh165duHv3Lr7//vtyvS+zTslUfMC9mIqDMkAdvc6aNQtpaWkoKipCUlKS5qnNYg4ODli+fDmePn2KgoIC/Pbbb1X2pCVduIkxUL9Ay0D9AvUrT33pGKs6KqY/2buoqChERUVBpVIhJCQEzZs310qGaNOmDf766y8UFBSgXr16SEhIgK+vL/7++2+EhYUZlMfEiRMxYsQI3Lx5U6ubV48ePSo0UxJNT2/BLPXXMbUsEVK16Dumn73tG2P2MbM1W7duxc8//6wZnqKiQkNDsWnTpgpvf+rUKXz77bclltesWbNCY8TRJObEolliYGopqLWHENunYkxvsncSiUTzBGRFGTqdUmkcHBx0DlR//fp1VK9evdx1osCsCtHtKv3oQk+Mgb5j+llbfU3Jms4/DABjOpK5K2YBJk2ahKVLl1a4vx1Qcjqld955p9zTKb3xxhuYM2eOZlpKjuOQmpqKqVOn4s033yx3nehWJrF5lvqwASGElEVf65i9tpj1799f6++DBw9i7969aNq0KcRisdZrO3fuLDO/F6dTat++PX788Uf89ddfGDhwIOLj48vM4+uvv0bPnj3h4+ODwsJCtG/fHunp6YiIiMC8efMMfm/FqMWMEDOx1dYeawtMre2WsLXV1xLLsibFfcx0JXv0/HSK7u7u6NevH9q3bw9vb+8SrxnCGNMpubm54dixY9ixYwcWLFiAcePGYc+ePUhKSoKzs3O53yO1mFk4au2xv86+hFSGpX6PjcmU5wRzn394PS1mvJ22mG3YsMGo+RVPp9SlSxckJSVphvGqyHRKnTp1Qps2bSCVSis1/yi1mBHyHFu/oFUGBcfWgY5h26Kzf9l/yd516tQJWVlZJZbn5OSgU6dOBuVhjOmUeJ7Hl19+iZo1a8LFxUUz89Hnn3+O9evXG/ZmnkOBWQVY6vg+dEImtsJSg0Br+z5bW31JSSpef7J3hw8f1vnkZFFREY4ePWpQHsXTKWVnZ2PmzJma5V999ZXBQ2jMnTsXGzduxKJFiyCRSDTLQ0NDsW7dOoPyeB4FZqRCrO0kTH1lrO8zI4QAPJjeZK8uXLiACxcuAACuXLmi+fvChQtITk7G+vXryz0N0oscHBxKPEygz/fff481a9bgvffe05pxqFmzZrh27Vq5y6Y+ZoRYMUvtT2RPfYBsnaUeY/ZCxTOodPT017XMXrRo0QIcx4HjOJ23LB0dHbF8+XKD8lKpVIiLi8PPP/+M1NTUEi1wz549KzOPBw8e6BxPjed5zRAa5UEtZkQLXeDo9g+pWvQd089SW7bN+T1VqJjeZK9SUlJw69YtMMZw8uRJpKSkaNKDBw+Qk5ODkSNHGpTX7NmzsWTJEgwYMADZ2dmYOHEi+vfvD4FAgFmzZhmUR9OmTXXeOt2+fTtatmxZnrcGgFrMiBnRL3FCbAu1lBofPZVZUmBgIACUmLS8IrZs2YK1a9eiV69emD17Nt59913Uq1cPzZo1w4kTJzBhwoQy85g5cyaGDBmCBw8egOd57Ny5E9evX8f333+P33//vdx1ohazCrLUE4KttvZQAGd/LLX1xJT0HfeWWl9ifAqVvlYzc9fMNqSnpyM0NBQA4OLiguzsbABA79698ccffxiUx+uvv45t27Zhz5494DgOX3zxBa5evYrffvsNkZGR5a4TBWZWgE7CxBrZauBubT8SrK2+RBvPmN5EKq9WrVpIS0sDANSvXx8JCQkA1BOTS6XSMrdXKpWYPXs2goODkZSUhLy8PBQUFODYsWPo2rVrhepEgZkJ0InRMBSAVow9tSyZu3xCTE3BGBS8jkSBmVH069cPBw4cAABERUXh888/R4MGDTB06FCD+qmJRCJ89dVXUKmM14RJgRmxGPYawFJrj+Gsvf6kbPb0Q8MQxU9l6kr2aNmyZSgqKgIApKamVmoCcwBYsGABpk+fDgB46623cPToUXz00UfYvn07FixYYFAeXbp0weHDhytVj+dR539iVjTlFCGkouzhYQPlfy1kupbbo4kTJ2LgwIFwcHBAUFAQ0tLS4OPjY7T8X3nlFbzyyivl2qZHjx6YNm0aLl26hLCwsBLzY/bp06dc+VGLGakUW23tqWxZ1vBL3NZY02dm6snMrWnfEG3Ux0ybv78/duzYgbt374Ixhvv37yM1NVVnMtT169cxbtw4dO7cGV26dMG4ceNw/fp1g7f/6KOP8OjRIyxZsgTvvfce+vbtq0n9+vUr93ukwMxETHlipFYhQqqWNf1IMDVrq6+lU6h4vckeffbZZ4iOjkbdunXBcRxatWqFoKAgrVSnTh0EBQUZlN8vv/yCkJAQnDlzBs2bN0ezZs1w9uxZhISEYPv27QblwfO83lSRvmd0K5OUQLf8bFtlb8mU5/iwl7GmCKkqKqZOupbbow8//BDvvvsu7t69i2bNmuHPP/9EtWrVKpzflClTMG3aNMyZM0dr+cyZM/Hpp5/i7bffrmyVy40CM0KIxaIfCaSqWfoPDaWKh1JH65iuZfbC1dUVISEh2LBhA9q2bWvQsBb6pKenY+jQoSWWDx48GF999ZVBeSxbtkznco7j4ODggPr16+O1117TmkezNBSYVQJdNEzPVjv7UssSIUQXXk+LmZ32/dcybNgwAMCZM2dw9epVcByHJk2a4KWXXjI4jw4dOuDo0aMl5ro8duwY2rVrZ1AecXFxePz4MQoKCuDp6QnGGLKysuDk5AQXFxdkZGSgbt26OHToEAICAsrMj/qY2SjqA6ObtXXwtsSyiJq1fcesrb6WWJY5KHheb7J3GRkZ6NSpE1q1aoUJEyZg3LhxCA8PR+fOnfH48WO92+3evVuT+vTpg08//RTjxo3D5s2bsXnzZowbNw5Tp041uOP+/Pnz0apVK9y8eRNPnz7Fs2fPcOPGDbRu3RpLly5Famoq/Pz8EBMTY1B+1GJGCKlS1Bqom7W1uNPQNubB8wy8juYxXcvszfjx45GTk4PLly+jSZMmAIArV65g2LBhmDBhAn766Sed2/Xt27fEspUrV2LlypVayz7++GOMGTOmzHp89tln2LFjB+rVq6dZVr9+fXz99dd48803cfv2bSxatAhvvvmmQe+LWsxMyJpONNTao2ZNnxmhz4vYHhr5X799+/Zh1apVmqAMAIKDg/HNN99g7969ercr7SnKijxRmZaWBqVSWWK5UqlEeno6APUwH7m5uQblR4EZIRaCbv/oRj8S9LPk+lrTMWbJVIzpTfaO53mIxeISy8ViMXgT3urt2LEjRo8ejeTkZM2y5ORkfPTRR+jUqRMA4OLFiwYP4UGBWSXRRUONggpCqhYd9/rZ8vlHoeQh15EUSupj1qlTJ0RFReHhw4eaZQ8ePEBMTAw6d+5ssnqsX78eXl5eCAsLg1QqhVQqRXh4OLy8vLB+/XoAgIuLCxYvXmxQfhSYmRidXO2LrQbu9CPB9GUZg7XVl9BcmaVZsWIFcnNzUadOHdSrVw/169dHUFAQcnNzsXz5cpPVw8/PD4mJibhy5Qq2b9+On3/+GVeuXEFCQgJ8fX0BqFvVunbtalB+1PnfhlGna0JIMWvrUE8PG6jJlQwCHa1jciUFZgEBATh79iwSExNx7do1MMYQHByMLl26mKU+xbMR1KtXDyJRxcMrajEjFoFae0yPWpbsi61/BqZ8fw8SDbslZQzUYla2yMhIjB8/HhMmTDBLUFZQUIBRo0bByckJTZs21czTOWHCBCxYsKDc+Zk1MDty5Ahef/11+Pv7g+M4/Prrr1qvM8Ywa9Ys+Pv7w9HRER06dMDly5e11pHJZBg/fjy8vb3h7OyMPn364P79+yZ8F8QcbDWosPWLpzWwtB8Jbm0+LnW98ta3MscY/agxPYVKTx+zKhz5v06dOuA4TitNnTpVa53U1FS8/vrrcHZ2hre3NyZMmAC5XK61zsWLF9G+fXs4OjqiZs2amDNnDtgLDy0kJSUhLCwMDg4OqFu3LlavXl1l70sfnudx48YNHDt2DEeOHNFKhpg2bRrOnz+Pw4cPw8HBQbO8S5cu2LZtW7nrY9bALD8/H82bN8eKFSt0vr5o0SIsWbIEK1aswKlTp+Dn54fIyEitR06jo6Oxa9cubN26FceOHUNeXh569+5doYlDK8rSTuTPM+VJmIIKYo+q+rjPOf6Npgxr+45ZW30tka6grDhVpTlz5iAtLU2TPvvsM81rKpUKvXr1Qn5+Po4dO4atW7dix44dmDRpkmadnJwcREZGwt/fH6dOncLy5cvx9ddfY8mSJZp1UlJS0LNnT7Rr1w7JycmYPn06JkyYgB07dlTpe3veiRMnUL9+fTRp0gSvvfYaOnTooEkdO3Y0KI9ff/0VK1aswKuvvgqO4zTLg4ODcevWrXLXyax9zHr06IEePXrofI0xhvj4eMyYMQP9+/cHAGzatAm+vr748ccfMXr0aGRnZ2P9+vX44YcfNM2XmzdvRkBAAP78809069bNZO+FEEtgyf1yKtPn0ZRlEWJJlDyDUMdtS2UV38p0dXWFn5+fztcSEhJw5coV3Lt3D/7+/gCAxYsXY/jw4Zg3bx7c3NywZcsWFBUVYePGjZBKpQgJCcGNGzewZMkSTJw4ERzHYfXq1ahduzbi4+MBAE2aNMHp06c1A7OawpgxYxAeHo4//vgDNWrU0AqsDPX48WP4+PiUWJ6fn1+h/Cy2j1lKSgrS09O1nmKQSqVo3749jh8/DkA9P5ZCodBax9/fHyEhIZp1LBH9irQ+tno7k45FQtQsNZAva7iMnJwcrSSTyYxS7sKFC1GtWjW0aNEC8+bN07pN+ffffyMkJEQTlAFAt27dIJPJcObMGc067du315pgvFu3bnj48CHu3LmjWefFJxW7deuG06dPQ6FQGOV9lOXmzZuYP38+mjRpAg8PD7i7u2slQ7Rq1Qp//PGH5u/iYGzt2rWIiIgod50sNjArHi23+FHTYr6+vprX0tPTIZFI4OnpqXcdXWQyWYmDmRiHtQQVlnz7mZDSWFswbS3nBEtV1gCzAQEBWoFEbGxspcuMiorC1q1bcejQIYwbNw7x8fEYO3as5vX09PQS12ZPT09IJBKt67Ou63fxa6Wto1Qq8eTJE4PqeuvWLXz22Wd49913kZGRAUA9I8CL/dH1ad26Nf7991+D1tUnNjYWM2bMwEcffQSlUomlS5ciMjISGzduxLx588qdn8UGZsVebAZkjJXZNFjWOrGxsVoHsiGzvRNCLIOhga61BATGCNwtue9pZdCPmrL7mN27dw/Z2dmaNG3aNJ35zJo1q0SH/hfT6dOnAQAxMTFo3749mjVrhvfffx+rV6/G+vXr8fTpU01+uq6xL157dV2/X1xuyDr6JCUlITQ0FP/88w927tyJvLw8AMCFCxcwc+ZMvdtduHBBk8aPH49JkyZh48aNOHPmjNZrFy5cKLMOANCmTRv89ddfKCgoQL169TTjl/39998ICwszKI/nWew4ZsX3ttPT01GjRg3N8oyMDE2E7efnB7lcjszMTK1Ws4yMDLRp00Zv3tOmTcPEiRM1f+fk5CAgIAAPEhejVnfdB7WxWUt/G0vus2TLTNlHytrKomOE2BN9Q2MUL3Nzc4Obm1uZ+YwbNw4DBw4sdZ06deroXP7KK68AAP79919Uq1YNfn5++Oeff7TWyczMhEKh0Lo+v3jnqrhFq6x1RCIRqlWrVuZ7mjp1KubOnYuJEyfC1dVVs7xjx45YunSp3u1atGgBjuO0nhAdOXKk5v/Fr3EcZ/CDhKGhodi0aZNB65bFYlvMgoKCNKPpFpPL5UhKStIEXWFhYRCLxVrrpKWl4dKlS6UGZlKpVHMwG3pQE8tkLa0itsrcrSdVVT611FgvW/ueKlQqyJUlk6KcIw94e3ujcePGpabnh3p4XvEckMWNJBEREbh06RLS0tI06yQkJEAqlWpaiCIiInDkyBGtvmkJCQnw9/fXBIARERFa1+/idcLDw3XOgfmiixcvol+/fiWWV69eXat170UpKSm4ffs2UlJSdKbi127fvq03jxe7Q5WWysusgVleXh7OnTuHc+fOAVDvrHPnziE1NRUcxyE6Ohrz58/Hrl27cOnSJQwfPhxOTk4YNGgQAMDd3R2jRo3CpEmTcODAASQnJ2Pw4MEIDQ01+SBzFTmR22pQYWsnRmOgC73xWdo+tbbvmCnqa2mfkTUy9QCzf//9N+Li4nDu3DmkpKTg559/xujRo9GnTx/Url0bANC1a1cEBwdjyJAhSE5OxoEDBzB58mR88MEHmoaOQYMGQSqVYvjw4bh06RJ27dqF+fPna57IBNRPRN69excTJ07E1atX8d1332H9+vWYPHmyQXX18PDQCg6LJScno2bNmnq3CwwM1KS7d++iZs2aWssCAwNRs2ZN3L17t9SyPT09DUrlZdZbmadPn9YaJ6T49uKwYcOwceNGTJkyBYWFhRg7diwyMzPRunVrJCQkaDVZxsXFQSQSYcCAASgsLETnzp2xceNGCIXCCtWJHrMn1q4it4St7XZmcT6mKsvWmKrbAP1IqzyZkoHXMWaZooqmZJJKpdi2bRtmz54NmUyGwMBAfPDBB5gyZYpmHaFQiD/++ANjx45F27Zt4ejoiEGDBuHrr7/WrOPu7o7ExER8/PHHCA8Ph6enJyZOnKjVjSgoKAh79uxBTEwMvvnmG/j7+2PZsmUGD5UxaNAgfPrpp9i+fTs4jgPP8/jrr78wefJkDB061KA8OnbsiLS0tBLDXWRnZ6Njx456b2UeOnRI8/87d+5g6tSpGD58uOYpzL///hubNm2q0MMYZg3MOnToUGIU4OdxHIdZs2Zh1qxZetdxcHDA8uXLTTphqb2hfmb/Y40BDCEvMvV3jPq5VpyKZxCU0sfM2F566SWcOHGizPVq166N33//vdR1QkNDyxw9v3379jh79my56lhs3rx5GD58OGrWrKmZJ1OlUmHQoEFaA+KWRt/Dgk+fPoWzs3Op9S42Z84cLFmyBO+++65mWZ8+fRAaGoo1a9Zg2LBh5XhXFtzHjBiftd1qqeqyKOixPi9+ZmV9hpX5jM3df64sLx73hk7bVFVPgZaVrzWcEyxRWeOY2TOxWIwtW7bgxo0b+Pnnn7F582Zcu3YNP/zwQ5l3zfr374/+/fuD4zgMHz5c83f//v3xxhtvoFu3bqX2VX/e33//jfDw8BLLw8PDcfLkyXK/LwrMdDDlhZ6CCmKPqvrCWfz9eH46I1Ow1IBAX72MXV86LxkfTWJetnr16uGtt97CgAED0KBBA4O2KR4uizEGV1dXrSG0/Pz88OGHH2Lz5s0G5RUQEKBzjs9vv/22QsNxWexwGcT62eptP2soy5T9zHSVZa4+TC+Wa4m3pmyVpe1nW+kKoFLx4HS0jqmqcBJzS/Z8H7WyPD8v54s2bNgAxhgYY1i+fLlW3/XyiouLw5tvvon9+/drhhY5ceIEbt26VaF5P6nFzALQL3pttnAytXfluc1WleWbY/Jvaynr+VZFU6HzT/kVBw+6kj1KTk7WSuvWrcO3336Lw4cP4/Dhw1izZg3Wr1+vGe2hNIwx/Pjjj6XOFGSInj174ubNm3jjjTfw7NkzPH36FG+88QZu3LiBnj17ljs/CsyIXbP0fkSmVlUXTl35VkVZpr7wW9pnakgfPHMEq6TiVEpeb7JHhw4d0qTXX38dHTp0wP3793H27FmcPXsW9+7dQ8eOHdGrV68y8xIIBGjQoEGpY57pc+HCBfD8/z6DWrVqYd68edi5cyd27dqFefPmad3GvHz5MpRKpUF5U2CmhzWctCio0Garv/yt4VgsL2s4noCK17Min1lVlGVoPSylvpZQlqVhvP5k7xYvXozY2FitscI8PT0xd+5cLF682KA8Fi1ahE8++QSXLl0qV9ktW7YsV0AXERGB1NRUg9alPmZ2yBr6SBHrUlZfrhdff77VprzHR2lllfZaVRyLtnDhJ5ZNpeLB6ehPZq99zJ6Xk5ODR48eoWnTplrLMzIykJuba1AegwcPRkFBAZo3bw6JRAJHR0et1589e6ZzO8YYPv/8czg5ORlUzvMzIJSFArNSGPuiYeyyrIWlvzdrGCfJ2oNpU+1few2ULP079iJrP55NifEMTMcTmLqW2Zt+/fphxIgRWLx4sVan+08++QT9+/c3KI/4+PgKlf3aa6/h+vXrBq8fERFRIujThwIzC0Inq8qjffg/5n4i0RKfkLT048Oc+8jS62urZZWFV/E6W8d4ajHD6tWrMXnyZAwePBgKhQIAIBKJMGrUKHz11VcG5VHewV+LHT58uELbGYL6mJXBUr6clsBa+rTZav8vayvrxTxMNZYWIS+y5mOMMaZpNdNKdvpU5vOcnJywcuVKPH36FMnJyTh79iyePXuGlStXljpqvz6FhYWVnoDcGCgwqwIUwJi3LGL76Dumvyxrqy8pnUrJ9DyVSYFZMWdnZzRr1gzNmzcvd0CWn5+PcePGwcfHBy4uLpWegNwYKDAzAJ2sSGks+fgw5UXarc3HBk8LVNmyKoO+Y8Sa8CqmN9m7jh07olOnTnqTIaZMmYKDBw9i5cqVkEqlWLduHWbPng1/f398//33VfwOdKPAzEC2euGw5LJMHVSYiiX3S6ssYwzdYAqWfNybuyxLrq+tnhNKw/NMb7J3LVq0QPPmzTUpODgYcrkcZ8+eRWhoqEF5/Pbbb1i5ciXeeustiEQitGvXDp999hnmz5+PLVu2VPE70I0CM2KzLPkCQ2WZt6zysrbA3drqayqWfIzpwyt5vcnexcXFaaUVK1bg2LFjiI6OhlgsNiiPZ8+eISgoCADg5uamGR7j1VdfxZEjR6qs7qWhwKwcLPUiVdkTo6WWRfSjY9G6jkVrK8va6mvLeMb0JqLb4MGD8d133xm0bt26dXHnzh0AQHBwMH7++WcA6pY0Dw+PKqph6SgwqyLW9CsSsN0Tsa1e6G2ZpR4f1oSCM+OUZQnncV6lp8WMhsvQ6++//4aDg4NB644YMQLnz58HAEybNk3T1ywmJgaffPJJVVZTLwrMyslSTyDEuhjjhG/o8WHKsiyBJVxMdbG2gKA8rO3WqTUdz0xP/zIaYBbo37+/VurXrx9eeeUVjBgxAqNHjzYoj5iYGEyYMAGA+mGCa9eu4aeffsLZs2cRFRVVldXXiwKzCrDVC6Ilvi9jlWXKkeet6aRfHtZyLJa3npZ43FsKS/zM7Q2v4vUme+fm5gZ3d3dN8vLyQocOHbBnzx7MnDmzQnnWrl0b/fv3R/PmzY1cW8NRYFZBlnbCMtYvVkt7X7bMnAFuVbZwWNqxWNYwHsYsyxDWdtzb6r6xls+BnsrUb+PGjdiwYYMmrV+/HgsWLEDXrl3L3LZnz57Izs7W/D1v3jxkZWVp/n769CmCg4OrotplosDMStjqCcvSgk5LCyqqqqyK1s+YLYKG7Gtj9ZUyJB9bPT6MwdL2jTHLKqs8c99W5pVyvcne1a1bF0+fPi2xPCsrC3Xr1i112/3790Mmk2n+XrhwodaE5UqlslxzYRoTBWaVYMoTiCGMWZYpT1aWHsTYSlmWdiwaun8MORatMWCy9IDgRZa0b+wJ43kwXqUj0a3MO3fuQKVSlVguk8nw4MGDUrd9cUorS5riigKzSrLl/kv2WpY1B7j2eiwasy70JK9+lvTdMaayjmdzBsm8Ug5eoSPZcYvZ7t27sXv3bgDqlq/iv3fv3o1du3bhyy+/RJ06dcxbyUqgwMxILOUiZewTiD2WZWz2+kCAtX9mxlyvonlYWqsZYDmfgyXum6qgu7VMnexV37590bdvX3Ach2HDhmn+7tu3LwYOHIjExEQsXry41Dw4jgPHcSWWWQIKzIxI30mkKk4glnJyrIqyTNnqYwmqIoCxt2PRlO/L2vehMVjCZ15VZVnaZ0F9zErieR48z6N27drIyMjQ/M3zPGQyGa5fv47evXuXmgdjDMOHD9cMtVFUVIQxY8Zo/h45cqSJ3k1JHLOkG6tmkpOTA3d3dzxKT4ebm5tR8jTGY/xUFpVVFeXZallVWZ6tlmUMtrpvSisrJycHvn5+yM7ONto1o0RZ/12Xqr++AAJxycFSeUURHv82tUrrYMtGjBhh0HobNmyo4pqURIEZqiYwA2z3gvhiebZy8dVVnqnKMuXnVdXlUVnGL8+SA7Ni5jqezfHdMWVg5tVjjt7A7NneL+wuMFu2bBk+/PBDODg4YNmyZaWuWzxwrLWhwAxVF5g9r/jLbYoTLJVFZZVVninLAmxvP9pqWcZgq/vm+bJMGZh5dpupNzDL3D/b7gKzoKAgnD59GtWqVdNMPq4Lx3G4ffu2CWtmPBSYwTSBma0z9cXeWi5S5UH70DhsdT9a22dmq/vGrc3HuL8v1mSBmUfnaeBEJQMzpixC1oFYuwvM7AEFZqDAjBBCiOFM2WLm3vFTcCJpideZUobsQwvtOjCbM2cOJk+eDCcnJ63lhYWF+Oqrr/DFF1+YqWaVQ09lEkIIIRaKVyr0Jns3e/Zs5OXllVheUFCA2bNnm6FGxiEydwUIIYQQohvjVYCOMcvseRyzYowxnWOPnT9/Hl5eXmaokXHYTIvZypUrERQUBAcHB4SFheHo0aPmrhIhhBBSKSqlXG+yV56envDy8gLHcWjYsCG8vLw0yd3dHZGRkRgwYIC5q1lhNtFitm3bNkRHR2PlypVo27Ytvv32W/To0QNXrlxB7dq1zV09QgghpEJ4pQIcK9kqxFT2eyszPj4ejDGMHDkSs2fPhru7u+Y1iUSCOnXqICIiwow1rByb6PzfunVrvPTSS1i1apVmWZMmTdC3b1/ExsaWub2m83/aQ7vtREkIIcQwOTk58K3hb5LO/5KWI8AJJSVeZyo55Mkb7Lrzf1JSEtq0aQOxWGzuqhiV1beYyeVynDlzBlOnTtVa3rVrVxw/flznNjKZDDKZTPN3dnY2ACA3N7fqKkoIIcQmFF8rTNGuwcvyAaGO25Z23GJWrH379pr/FxYWQqHQ3ifWGrBafWD25MkTqFQq+Pr6ai339fVFenq6zm1iY2N1PrFRv2GjKqkjIYQQ25Obm6t1G82YJBIJ/Pz8kH7lZ73r+Pn5QSIp2ZpmLwoKCjBlyhT8/PPPePr0aYnXVSrrfEDC6gOzYi8+maHvaQ0AmDZtGiZOnKj5OysrC4GBgUhNTa2yL5k9yMnJQUBAAO7du2e1v1QsBe1L46D9aBy0H7UxxpCbmwt/f/8qK8PBwQEpKSmQy/V38pdIJHBwKDn4rL345JNPcOjQIaxcuRJDhw7FN998gwcPHuDbb7/FggULzF29CrP6wMzb2xtCobBE61hGRkaJVrRiUqkUUmnJAfvc3d3ppGMEbm5utB+NhPalcdB+NA7aj/9jih/xDg4Odh14leW3337D999/jw4dOmDkyJFo164d6tevj8DAQGzZsgXvvfeeuatYIVY/XIZEIkFYWBgSExO1licmJqJNmzZmqhUhhBBCqtKzZ88082W6ubnh2bNnAIBXX30VR44cMWfVKsXqAzMAmDhxItatW4fvvvsOV69eRUxMDFJTUzFmzBhzV40QQgghVaBu3bq4c+cOACA4OBg//6zuj/fbb7/Bw8PDfBWrJKu/lQkA77zzDp4+fYo5c+YgLS0NISEh2LNnDwIDAw3aXiqVYubMmTpvbxLD0X40HtqXxkH70ThoPxJLNGLECJw/fx7t27fHtGnT0KtXLyxfvhxKpRJLliwxd/UqzCbGMSOEEEKIfUtNTcXp06dRr149NG/e3NzVqTCbuJVJCCGEEPtWu3Zt9O/fH15eXhg5cqS5q1Nh1GJGCCGEEJtx/vx5vPTSS1Y7jhm1mBFCCCGEWAgKzAghhBBCLAQFZgBWrlyJoKAgODg4ICwsDEePHjV3lSxGbGwsWrVqBVdXV/j4+KBv3764fv261jqMMcyaNQv+/v5wdHREhw4dcPnyZa11ZDIZxo8fD29vbzg7O6NPnz64f/++Kd+KRYmNjQXHcYiOjtYso/1ouAcPHmDw4MGoVq0anJyc0KJFC5w5c0bzOu3LsimVSnz22WcICgqCo6Mj6tatizlz5oDnec06tB8JMQNm57Zu3crEYjFbu3Ytu3LlCouKimLOzs7s7t275q6aRejWrRvbsGEDu3TpEjt37hzr1asXq127NsvLy9Oss2DBAubq6sp27NjBLl68yN555x1Wo0YNlpOTo1lnzJgxrGbNmiwxMZGdPXuWdezYkTVv3pwplUpzvC2zOnnyJKtTpw5r1qwZi4qK0iyn/WiYZ8+escDAQDZ8+HD2zz//sJSUFPbnn3+yf//9V7MO7cuyzZ07l1WrVo39/vvvLCUlhW3fvp25uLiw+Ph4zTq0H4m5KRQKlpiYyFavXq057rp3785ef/111q9fP52pY8eOTCAQmLnmFWf3gdnLL7/MxowZo7WscePGbOrUqWaqkWXLyMhgAFhSUhJjjDGe55mfnx9bsGCBZp2ioiLm7u7OVq9ezRhjLCsri4nFYrZ161bNOg8ePGACgYDt27fPtG/AzHJzc1mDBg1YYmIia9++vSYwo/1ouE8//ZS9+uqrel+nfWmYXr16sZEjR2ot69+/Pxs8eDBjjPYjMb87d+6wxo0bMycnJyYUCtmtW7cYY4w1adKENWzYkA0fPrzUZK3s+lamXC7HmTNn0LVrV63lXbt2xfHjx81UK8uWnZ0NAPDy8gIApKSkID09XWsfSqVStG/fXrMPz5w5A4VCobWOv78/QkJC7G4/f/zxx+jVqxe6dOmitZz2o+F2796N8PBwvP322/Dx8UHLli2xdu1azeu0Lw3z6quv4sCBA7hx4wYA9ZNsx44dQ8+ePQHQfiTmFxUVhfDwcGRmZsLR0VGzfNWqVeB5Hhs2bCg1WSubGPm/op48eQKVSlVisnNfX98Sk6ITdX+TiRMn4tVXX0VISAgAaPaTrn149+5dzToSiQSenp4l1rGn/bx161acPXsWp06dKvEa7UfD3b59G6tWrcLEiRMxffp0nDx5EhMmTIBUKsXQoUNpXxro008/RXZ2Nho3bgyhUAiVSoV58+bh3XffBUDHJDG/Y8eO4a+//oJEItFaHhgYiAcPHpipVlXPrgOzYhzHaf3NGCuxjADjxo3DhQsXcOzYsRKvVWQf2tN+vnfvHqKiopCQkAAHBwe969F+LBvP8wgPD8f8+fMBAC1btsTly5exatUqDB06VLMe7cvSbdu2DZs3b8aPP/6Ipk2b4ty5c4iOjoa/vz+GDRumWY/2IzEXnud1jkV2//59uLq6mqFGpmHXtzK9vb0hFApL/LLLyMgo8SvR3o0fPx67d+/GoUOHUKtWLc1yPz8/ACh1H/r5+UEulyMzM1PvOrbuzJkzyMjIQFhYGEQiEUQiEZKSkrBs2TKIRCLNfqD9WLYaNWogODhYa1mTJk2QmpoKgI5JQ33yySeYOnUqBg4ciNDQUAwZMgQxMTGIjY0FQPuRmF9kZCTi4+M1f3Mch7y8PMycOVNzy90W2XVgJpFIEBYWhsTERK3liYmJaNOmjZlqZVkYYxg3bhx27tyJgwcPIigoSOv1oKAg+Pn5ae1DuVyOpKQkzT4MCwuDWCzWWictLQ2XLl2ym/3cuXNnXLx4EefOndOk8PBwvPfeezh37hzq1q1L+9FAbdu2LTFky40bNxAYGAiAjklDFRQUQCDQvgQIhULNcBm0H4m5xcXFISkpCcHBwSgqKsKgQYNQp04dPHjwAAsXLjR39aqOmR46sBjFw2WsX7+eXblyhUVHRzNnZ2d2584dc1fNInz00UfM3d2dHT58mKWlpWlSQUGBZp0FCxYwd3d3tnPnTnbx4kX27rvv6nykvlatWuzPP/9kZ8+eZZ06dbL7R+qffyqTMdqPhjp58iQTiURs3rx57ObNm2zLli3MycmJbd68WbMO7cuyDRs2jNWsWVMzXMbOnTuZt7c3mzJlimYd2o/E3AoKCtj69evZxx9/zD766CO2du1areuPLbL7wIwxxr755hsWGBjIJBIJe+mllzRDQRDGAOhMGzZs0KzD8zybOXMm8/PzY1KplL322mvs4sWLWvkUFhaycePGMS8vL+bo6Mh69+7NUlNTTfxuLMuLgRntR8P99ttvLCQkhEmlUta4cWO2Zs0arddpX5YtJyeHRUVFsdq1azMHBwdWt25dNmPGDCaTyTTr0H4kxPRoEnNCCCGEWKQbN27g8OHDyMjI0JqVAgC++OILM9WqalFgRgghhBCLs3btWnz00Ufw9vaGn5+f1pO+HMfh7NmzZqxd1aHAjBBCCCEWJzAwEGPHjsWnn35q7qqYFAVmhBBCCLE4bm5umqfW7YldD5dBCCGEEMv09ttvIyEhwdzVMDlqMSOEEEKIRVi2bJnm//n5+ViyZAl69eqF0NBQiMVirXUnTJhg6uqZBAVmhBBCCLEILw5irg/Hcbh9+3YV18Y8KDAjhBBCCLEQ1MeMEEIIIRZnzpw5KCgoKLG8sLAQc+bMMUONTINazAghhBBicYRCIdLS0uDj46O1/OnTp/Dx8YFKpTJTzaoWtZgRQgghxOIwxrQGlS12/vx5eHl5maFGpmExgVlsbCw4jkN0dLRmGWMMs2bNgr+/PxwdHdGhQwdcvnxZazuZTIbx48fD29sbzs7O6NOnD+7fv2/i2hNCCCHEGDw9PeHl5QWO49CwYUN4eXlpkru7OyIjIzFgwABzV7PKiMxdAQA4deoU1qxZg2bNmmktX7RoEZYsWYKNGzeiYcOGmDt3LiIjI3H9+nW4uroCAKKjo/Hbb79h69atqFatGiZNmoTevXvjzJkzEAqFBpXP8zwePnwIV1dXndE5IfbkyZMneOWVVzBmzBhMnjwZAHD69Gl069YNP//8Mzp37mzmGhJiXowx5Obmwt/fHwJB1bVvFBUVQS6X631dIpHAwcGhyso3l/j4eDDGMHLkSMyePRvu7u6a1yQSCerUqYOIiAgz1rCKmXbO9JJyc3NZgwYNWGJiImvfvj2LiopijDHG8zzz8/NjCxYs0KxbVFTE3N3d2erVqxljjGVlZTGxWMy2bt2qWefBgwdMIBCwffv2GVyHe/fuMQCUKFGiRImSwenevXvGuRDqUFhYyPx8hKWW7+fnxwoLC6usDuZ2+PBhplAozF0NkzN7i9nHH3+MXr16oUuXLpg7d65meUpKCtLT09G1a1fNMqlUivbt2+P48eMYPXo0zpw5A4VCobWOv78/QkJCcPz4cXTr1k1nmTKZDDKZTPM3++/5h3v37sHNzc3Yb5EQQogNycnJQUBAgObOTVWQy+VIz1Dh39MBcHMt2SqXk8ujfvg9yOVym2w1A4D27dubuwpmYdbAbOvWrTh79ixOnTpV4rX09HQAgK+vr9ZyX19f3L17V7OORCKBp6dniXWKt9clNjYWs2fPLrHczc2NAjNCCCEGMUXXFydXBidXVmK5EiWXmZunp6fB++TZs2dVXBvrZbbA7N69e4iKikJCQkKp0f6LHzLT85RGedaZNm0aJk6cqPm7+NcPIYQQYklUjEGlY1QrXcvMLT4+3txVsAlmC8zOnDmDjIwMhIWFaZapVCocOXIEK1aswPXr1wGoW8Vq1KihWScjI0PTiubn5we5XI7MzEytVrOMjAy0adNGb9lSqRRSqdTYb4kQQggxKiV4KPQstzTDhg0zdxVsgtmGy+jcuTMuXryIc+fOaVJ4eDjee+89nDt3DnXr1oWfnx8SExM128jlciQlJWmCrrCwMIjFYq110tLScOnSpVIDM0IIIcQa8GB6k6XJycnR+n9pqSxKpRIikQiXLl2qyipbJLO1mLm6uiIkJERrmbOzM6pVq6ZZHh0djfnz56NBgwZo0KAB5s+fDycnJwwaNAgA4O7ujlGjRmHSpEmoVq0avLy8MHnyZISGhqJLly4mf0+EEEKIMSkYg0LHbUtdy8zN09NTM1K/h4eHzi5FxV2Nyhq1XyQSITAw0GZH9y+N2Z/KLM2UKVNQWFiIsWPHIjMzE61bt0ZCQoLWkzBxcXEQiUQYMGAACgsL0blzZ2zcuNHgMcwIIYQQS6UCg0pH65iuZeZ28OBBzYj8hw4dqnR+n332GaZNm4bNmzfb9Ej/L6K5MqFucnV3d0d2djY9lUkIIaRUprhmFJdx7ooPXHUMl5Gby6NFcIZNX7datmyJf//9FwqFAoGBgXB2dtZ6/ezZs2aqWdWy6BYzQgghxJ7x4KBCyVuCvI5lliYrKwvr16/H1atXwXEcgoODMXLkSK2R/EvTt2/fqq2ghaIWM1CLGSGEEMOZssXsn8t+cNHRYpaXy6N103SLvW4VT+Pm6OiIl19+GYwxnD59GoWFhUhISMBLL71k7ipaLGoxI4QQQiyUSk+Lma5lliQmJgZ9+vTB2rVrIRKpQw2lUon3338f0dHROHLkiMF5nTlzRqvVrWXLllVVbYtAgRkhhBBioRRMAAUr2WKmsPB7XadPn9YKygD1k5ZTpkxBeHi4QXlkZGRg4MCBOHz4MDw8PMAYQ3Z2Njp27IitW7eievXqFarb9OnTkZ6eju+++65C21c1s41jRgghhJDSqSDQmypi5cqVCAoKgoODA8LCwnD06NFS19+yZQuaN28OJycn1KhRAyNGjMDTp0/LLMfNzQ2pqakllt+7d8/gOUbHjx+PnJwcXL58Gc+ePUNmZiYuXbqEnJwcTJgwwaA8dHnw4AHu3LlT4e2rGgVmhBBCiIVS/tdi9mJS6mhFK8u2bdsQHR2NGTNmIDk5Ge3atUOPHj10BlAAcOzYMQwdOhSjRo3C5cuXsX37dpw6dQrvv/9+mWW98847GDVqFLZt24Z79+7h/v372Lp1K95//328++67BtV33759WLVqFZo0aaJZFhwcjG+++QZ79+417E3rsGnTJhw8eLDC21c1upVJCCGEWCgFE0LBSo7LqWDlH3h1yZIlGDVqlCawio+Px/79+7Fq1SrExsaWWP/EiROoU6eOpnUqKCgIo0ePxqJFi8os6+uvvwbHcRg6dCiUSiUAQCwW46OPPsKCBQsMqi/P8xCLxSWWi8Vi8LzlTUllLBSYEUIIIRbKWJ3/5XI5zpw5g6lTp2ot79q1K44fP65zmzZt2mDGjBnYs2cPevTogYyMDPzyyy/o1atXmeVJJBIsXboUsbGxuHXrFhhjqF+/PpycnAyuc6dOnRAVFYWffvoJ/v7+ANS3IWNiYtC5c2ed2yxbtszg/CtzO7QqUWBGiA6v/jkFx7qU/auQEEKqkv4WM/W/L847KZVKIZVKS6z/5MkTqFQq+Pr6ai339fVFenq6zrLbtGmDLVu24J133kFRURGUSiX69OmD5cuXG1x/JycnhIaGIicnBwkJCWjUqJHWrcnSrFixAm+88Qbq1KmDgIAAcByH1NRUhIaGYvPmzTq3iYuLMyhvjuMoMCPElIb88z5+aL2uwttTUEYIsQS8no7+xZOYBwQEaC2fOXMmZs2apTe/F+evLJ67UpcrV65gwoQJ+OKLL9CtWzekpaXhk08+wZgxY7B+/fpS6z1gwAC89tprGDduHAoLCxEeHo47d+6AMYatW7fizTffLHX74vd29uxZJCYm4tq1a2CMITg4uNS5sFNSUsrM19JRYEZszoenh+Hik9rmrgYhhFSagon0tJipg6l79+5pDTCrq7UMALy9vSEUCku0jmVkZJRoRSsWGxuLtm3b4pNPPgEANGvWDM7OzmjXrh3mzp2LGjVq6K33kSNHMGPGDADArl27wBhDVlYWNm3ahLlz5+oNzLy8vHDjxg14e3tj5MiRWLp0KSIjIxEZGam3LFtDgRmxOdkKRzSp9sjc1SCEkEpTMQ4qpqOP2X/L3NzcDBr5XyKRICwsDImJiejXr59meWJiIt544w2d2xQUFGiNQwYAQqE6SCxr0qDs7GzNxOP79u3Dm2++CScnJ/Tq1UsT6Okil8uRk5MDb29vbNq0CQsXLjR4eA0AmDhxosHrLlmyxOB1TYkCM2JztkWsxrsnPkTwr7Nwpe8sc1eHEEIqrKwWs/KYOHEihgwZgvDwcERERGDNmjVITU3FmDFjAADTpk3DgwcP8P333wMAXn/9dXzwwQdYtWqV5lZmdHQ0Xn75ZU1nfH0CAgLw999/w8vLC/v27cPWrVsBAJmZmXBwcNC7XUREBPr27YuwsDAwxjBhwgQ4OjrqXFfXALHJyckG7Qt9t28tAQVmxOYMOzkKlx/XhOy25c0fRwgh5aFvMFkVyj/0/zvvvIOnT59izpw5SEtLQ0hICPbs2YPAwEAAQFpamtaYZsOHD0dubi5WrFiBSZMmwcPDA506dcLChQvLLCs6OhrvvfceXFxcEBgYiA4dOgBQ3+IMDQ3Vu93mzZsRFxeHW7dugeM4ZGdno6ioyOD3eOjQIYPXtVQ0iTloEnNbNOzkKAg4HhtabTB3VQghNsaUk5ivOtsKji4l21AK85T46KVTFn3dOnPmDFJTUxEZGQkXFxcAwB9//AEPDw+0bdu2zO2DgoJw+vRpVKtWrVL1+Pfff3Hr1i289tprcHR0LPWBB0tALWbEJm16ufQnhgghxBqomAAqHaP861pmacLCwhAWFqa1zJAx0IpV9gnLp0+fYsCAATh06BA4jsPNmzdRt25dvP/++/Dw8MDixYsrlX9VsfxPlhBCCLFTxeOY6UqkdDExMRCLxUhNTdUa2Padd97Bvn37zFiz0lFgRmxa0ArL/EVECCGGMPYk5vYkISEBCxcuRK1atbSWN2jQAHfv3jVTrcpGtzKJzXrj2DiIcuuZuxqEEFJhSj2tY0rqHl6m/Px8nVNAPXnyRO94b5aAQm5is559HYjGr942dzUIIaTCeCbQm6zVuXPnTFLOa6+9phn6A1APkcHzPL766it07NjRJHWoCGoxIzbr4atCeHH0q5IQYr0UTAihznHMrOvclp2djS1btmDdunU4f/48VCpVmdsIhUKkpaXBx8dHa/nTp0/h4+NTZh5fffUVOnTogNOnT0Mul2PKlCm4fPkynj17hr/++qtS76cqWW/ITUgZbk2eiGeL66DVSMsc3ZkQQsqiAqACpyNZh4MHD2Lw4MGoUaMGli9fjp49e+L06dMGbatvNC+ZTAaJRFLm9sHBwbhw4QJefvllREZGIj8/H/3790dycjLq1bPcbi7UYkZsVudDE6F0qAmX+4oKbd8pcgEOJk41cq0IIdYqdPdMXOwz26RlKngRhHzJS7WCt9wWs/v372Pjxo347rvvkJ+fjwEDBkChUGDHjh0IDg4uc/tly5YBUN96XLdunWYMNABQqVQ4cuQIGjdubFBd/Pz8MHu2aT+zyqLAjNisIqUYzg9lEBZULDA7mDgVIVPicGlRjJFrRgh5UY86Mdh7J87c1SiVqYMyAGDgwKPkYKhMxzJL0LNnTxw7dgy9e/fG8uXL0b17dwiFQqxevdrgPOLi1McBYwyrV6/WzM8JqOf8rFOnjkH5bdiwAS4uLnj77be1lm/fvh0FBQUYNmyYwXUyJbqVSWzWX5ELwThA6Vp2k7c+SkcgdJJlXywIsXZ1vl8Alp1r7mpYJAUv1JssUUJCAt5//33Mnj0bvXr10gqqDJWSkoKUlBS0b98e58+f1/ydkpKC69evY//+/WjdunWZ+SxYsADe3t4llvv4+GD+/PnlrpepUGBGbJo4sxAA0L3FFxXa/trsGFxcTC1mhBhby7H/+8HTeNx1MEXFWrZtnbWNY3b06FHk5uYiPDwcrVu3xooVK/D48eMK5XXo0CF4enpWuC53795FUFBQieWBgYFac4JaGsv8ZAkxkn3nv4T4WSF4R7G5q0KIVWqyq2pu32W2UAIAeviNBVMoAcbQ3W1ElZRlzZRMqDdZooiICKxduxZpaWkYPXo0tm7dipo1a4LneSQmJiI31/CWUZVKhfXr12PQoEHo0qULOnXqpJXK4uPjgwsXLpRYfv78+UrPv1mVqI8ZsX08D15c8d8g7XsuAhNxkGQrwEsE9EBAJXX3fB/gOFz7sjEcnghwbSa1SFqipv83CzXnCVDncTbQz3j5Bn63CL5HRLiz8RMErvsKjXPzwDlIwYlEYIw3XkE2QsELIOBLnr8UOpZZEicnJ4wcORIjR47E9evXsX79eixYsABTp05FZGQkdu/eXWYeUVFR2LhxI3r16oWQkJByTzw+cOBATJgwAa6urnjttdcAAElJSYiKisLAgQP1blf88EF5jBgxAq6uruXeTheO6Xse1Y7k5OTA3d0d2dnZcHNzM3d1iJG9NCYOvgfSsPfmogpt33rIEkhzVBAW8QADBAoeBw5NM3It7UOk4G2IqnuDz8mDwMsDTCYDeAZOKgEYA7w8ABWPK1O8cHfUFHNX1+71qBMDSKXYe32B0fLs7vUBmEwGrn4geCcJuAs3wUkkAMeByeXYn7fJaGVVFVNcM4rL+DDpbUhcSrb4y/MUWNN+u1Vdt1QqFX777Td89913BgVm3t7e+P7779GzZ88KlSeXyzFkyBBs374dIpG6HYrneQwdOhSrV6/WO+SGQCBArVq1DO4fd+/ePdy4cQN169atUD1fRC1mxOadXR2D7qEzKrz9Pz9MRJ1VX6PGERFc7hXhYbuSU3wQw4gCA4C8AnAOUkCpvpUFAQcoVep/C4sAkQiNvi1Cj9hPsPffr8xbYXsnlQLZOUbLrpvLMHASCQQuzmD30iF0dgITCgGVCuA4dXBOtCgYB07HKP8KZplPZapUKly+fBkNGjSAo6Oj1mtyuRx169bFrl27DMpLIpGgfv36Fa6LRCLBtm3bMHfuXJw7dw6Ojo4IDQ1FYGBgmduePn26xMC2+hirpayYWdtCV61ahWbNmsHNzQ1ubm6IiIjA3r17Na8zxjBr1iz4+/vD0dERHTp0wOXLl7XykMlkGD9+PLy9veHs7Iw+ffrg/v37pn4rxIIFrvsKnLJyt0jcrwnxrIkAj1s4wfu8ggatrSDVg3TwhYWAUKDuV8QzcCIRIBICAgFQUAgUySDMLQQk1C/Q7PLyweSV65RfN24JurkMQzfHIRB4ekDRoi72PloFVZNAPOpZR91SplKBqVTgJBJ0c7HMIQzMxdqmZPrhhx8wcuRIna1REokEI0eOxE8//WRQXpMmTcLSpUv1DjRrqAYNGuDtt99G7969DQrKZs6cqTV2WlmmT58OLy+vylRRi1k/2Vq1amHBggU4ffo0Tp8+jU6dOuGNN97QBF+LFi3CkiVLsGLFCpw6dQp+fn6IjIzU6jwYHR2NXbt2YevWrTh27Bjy8vLQu3dvg6Z7IPah0ZpCMFHlDnWFCyDNAiS5DEpnIURF9Mu+IjixCJxQCK74FoFKBaZUqlvMlCp1C41CASiUUHg7m7eydq6H70dgBYXgXCr3OTSccwVQKsGUCvCPn4BT8ugeOgOitCw8a6EC5yDFg49bqgNAngcnpoD8eQom0Jss0fr16zF58mSdtwGFQiGmTJmCNWvWGJTXsWPHsGXLFtSrVw+vv/46+vfvr5WqysyZM3VOfq7PtGnT4OHhYbTyzfrJvv766+jZsycaNmyIhg0bYt68eXBxccGJEyfAGEN8fDxmzJiB/v37IyQkBJs2bUJBQQF+/PFHAOq5t9avX4/FixejS5cuaNmyJTZv3oyLFy/izz//NOdbIxZEVt0BnJJHj7qTK5zHlXkxEBYBclcOchcOKgmH0IlxqPuT5Y6FY4k4qRQQiwCxWH37CgDHCcBUKsDZUb3MQQoAEGUXmbOqdk/55BnA8+pbzJXA5HIAACcSA5wAoospYLfvQV7bC01m3wZTqeCewgOMp1uZOlhbi9n169fxyiuv6H29VatWuHr1qkF5eXh4oF+/fmjfvj28vb3h7u6ulWyVxfQxU6lU2L59O/Lz8xEREYGUlBSkp6eja9eumnWkUinat2+P48ePY/To0Thz5gwUCoXWOv7+/ggJCcHx48fRrVs3nWXJZDLIZDLN3zk5xutDQSxP0h9T1EFZJZ/4cnmoBBNwUDgLoJIAAh7AYynqbZ2PWwOnG6eyNo7PywcAcEUy9UVYpYKyeT2Inhaob2MKBIBCCTg6oLC2dXRotlUCB6m6LyDHobvXB9j3bG2F8tmf/z26SgaBqeQQSCTqVjGRCM+aOsLvlhhQKuF66Lq6r5lQCAgtM+AwFxUEUOoIwix1HLP8/PxSr6m5ubkoKCgwKK8NGzYYq1oVsm7dOhw9ehQdOnTAiBEjsG3bNsyaNQsymQxDhgypsqmezP7JXrx4ES4uLpBKpRgzZgx27dqF4OBgpKenAwB8fX211vf19dW8lp6eDolEUmIAuufX0SU2NlYr6g4ICDDyuyIWqUhW9jqlyK8hgsqBg9KRg0gGSDMZnO8K4HbUseyNCQBA4OwEgbMToOIBjgPn5ARRjgwQcmDPstS3MZXqvmfSR4Xmrq7dY0UysCzj/HAVSCTgJGJwjg5gKhWSv4mBqkY1cEIhWF6+up9ZYaG6VZVo8IzTmyxRgwYNcPz4cb2vHzt2DA0aNDA4P6VSiT///BPffvutphvTw4cPkZeXV+m6liY+Ph7R0dHIy8vDjBkzMG/ePHz88ccYPHgwRowYgaVLlxp8S7a8zN5i1qhRI5w7dw5ZWVnYsWMHhg0bhqSkJM3rL45bwhgrcyyTstaZNm0aJk6cqPk7JyeHgjNbV1AA6Hk02lAqMaBw5AAGFFTnICoCxPkAEwANFsTh5lQaj6ss+zLX/a9zt1IJxhgEjzPB16gGgbsb8lvUhNOtLECo/v52azUb+0/NNF+F7VQ356HqfoD/3VrkvCvXsZkp1Q8QcEIHMKUSnESC1kOWwOtxlroVVSgExwnAOTsCzvTU8/OUvBCcjumXlBY6JdOgQYPw2WefoU2bNmjWrJnWa+fPn8cXX3yBKVMMGwrn7t276N69O1JTUyGTyRAZGQlXV1csWrQIRUVFOufL1DWgrD4v1u953377LdasWYNBgwYhOTkZL7/8MlavXo1Ro0YBUPeR/+abb/Dhhx8aXJ6hzB6YPf84bHh4OE6dOoWlS5fi008/BaBuFatRo4Zm/YyMDE0rmp+fH+RyOTIzM7VazTIyMtCmTRu9ZUqlUkjpV5ldYT5e4LLy0MNvLPamr6xQHkXVAUkuwIsBoRwADxT4A57XeDC6/WIwgaMjIBRAmfEYnEgMJpNB8CgTYAzOp+4AjIGvWR0KTymkj/LNXV27xORyQCpVt2YpFOByKjePJScSgxNwYIVFgFAATiCAa2oRFAHVIHz8FJxYDD6/AJxCqR4yhWjweiYx17XMEsTExGDv3r0ICwtDly5d0LhxY3Ach6tXr+LPP/9E27ZtERNj2I/YqKgohIeHlxipv1+/fnj//fd1btOiRQtwHGdQI05pDwnevXsXr776KgCgZcuWEAqFWn3n2rVrp9XAY0wWdzVhjEEmkyEoKAh+fn5ITEzUvCaXy5GUlKQJusLCwiAWi7XWSUtLw6VLl0oNzIj92XdhLiCTqcdKqqDrn8cgr5Z6e04FZIby8Lih7rcm75xtlHraBQcplBn/mzuP5eWD5eSC5f/X70QigSAzH6LE0+AlZv/taJeE3tUAFa8ewkKgvkz08Btb4fwS5OoHtjiJGJxAAL6wENyx8xA/zlO3nCoUEDhIAcbAcnJpyIznKHmB3mSJxGIxEhISMG/ePKSlpWHNmjVYvXo10tLSMG/ePCQkJEBs4JO3x44dw2effVZi6I3AwEA8ePBA5zYpKSm4ffs2UlJSsGPHDgQFBWHlypVITk5GcnIyVq5ciXr16mHHjh2llu3k5IT8/P/9MKxevXqJITSUxWMxGplZz3rTp09Hjx49EBAQgNzcXGzduhWHDx/Gvn37wHEcoqOjMX/+fDRo0AANGjTA/Pnz4eTkhEGDBgEA3N3dMWrUKEyaNAnVqlWDl5cXJk+ejNDQUHTp0sWcb41YIp6BqSo/UbJKCiicAedUAQRKHhY6ZZ3l4nkIHB3VU/DIZAAnAF9YpL4wi8WapzIR0RzCZ8ZpMau7bDFuT5hklLzsgepppjqIkkjAebgDjAdzq9ywGUylAp+bq26F+6+lgk9RTyTN/feULuN59XAqNGSGhr7+ZJbaxwxQB2dTpkwx+JalPjzP62zVun//vt5BXZ8fp+ztt9/GsmXLtGYOaNasGQICAvD555+jb9++estu3LgxLly4gCZNmgBQj+7/vGvXrqFOnTrleDeGM2tg9ujRIwwZMgRpaWlwd3dHs2bNsG/fPkRGRgIApkyZgsLCQowdOxaZmZlo3bo1EhIStD6QuLg4iEQiDBgwAIWFhejcuTM2btxo8FQKxH4wI/y6UbgATAi4pjLwIg68WD1aueqCO4IxC1f6zqp8RW3c3gfL0VU88L+Jq3kA/w0u6uShHlRWoYC8TnVI0nMq/cAGAPSoHY36/l4IvRuHi4upH2BZIt5dDFfG/6+PmUwGRf0aEOZV7rMoDsbYcxdaXi6H0NVVHaQLBeCKHwqh87eGSs/I/yoLDswA9d2vM2fO4M6dO+A4DnXr1tXcZjRUZGQk4uPjNZ3sOY5DXl4eZs6cadA0TRcvXkRQUFCJ5UFBQbhy5Uqp2y5cuBDOzvp/jKSmpmL06NFl1qEiaK5M0FyZ9qK794cAzyr82H+xyFfnIauhI5SOHDgVIMlj6uEzFIDi3Wc423OukWpsu7o5DlEHY2IRmEIJTsD9b77E+gEQ5MnApCJwOflgbs7qW9EV1KN2NOT1fKF0EiKzoRgX4ig4K0s3h/fUrWVOjuBrVocgpxBMIsa+y/MqnGdXySB1PzOeqR8G4NTBhtDZSd3FQCgEJxGrn9gVCbE37RtjvR2jM+VcmZ3+GAORc8k+0cp8GQ72Wm2R161Dhw5h1KhRuHv3rmbUfo7jEBQUhO+++04zoXhZHj58iI4dO0IoFOLmzZsIDw/HzZs34e3tjSNHjpQ5ZdJLL72EJk2aYP369XBwcACgHi5r5MiRuHr1Ks6ePVu5N1pFqAMHsRscJwAkle+XwYs4iPMY8mpxEOUDSicOTAC43VEhVy7CK4OXIOetHGo9KwVTqcCUCjCVCgKxSB2kCYVAgB8ED5+ox7pydADyC9WtKJUhEUOYr0BubSlU9MyPYf4LmuDooA6SHSXqccYqIUH+o/rHUX7hf33X1EEaAIAxdVDGmHp6Ljfjzj1ozZS8ANDRn8xS+5j9+++/6N27N1q3bo24uDg0btwYjDFcuXJFc1vxwoULBk347e/vj3PnzuGnn37C2bNnwfM8Ro0ahffee6/EPJy6rF69Gq+//joCAgLQvHlzAOonQzmOw++//17m9lu2bEHDhg3RqlUrnD59Gjdu3NB0papK1GIGajGzF929PwTn6Ii995ZWKp+XRsdBJGNwfPrfyPUKHkXeYrjcK0K+vxScCuAlHARyBl4MnNhCfZt06ebwHhjPwAk48JrbmurxrgT+NdR/5xUADtJKf2Y9AqIAV2ekvlEdl2OpxawsIZ/Eoda6y+D8qkPp6QxeKoQwX4GEk19UKt9ujkPU/xFw6lkeRCL1wwVCIThnJzB3V3D5BShsUgO8mMOR3Z8Y4d0YnylbzF7d/bHeFrNjfb6xuOvWuHHjcPXqVRw4cKDEa4wxdOnSBcHBwVi+fLlJ6lNQUIDNmzfj2rVrYIwhODgYgwYNKvU2ZbHbt29j5MiROHDgADp37owNGzbovDVqbNRiRuwHz4wy5Yv7HTkehUng8kAFYaEKTAA4PWJQOQjBhBx4ESCUMyicOXCVbOyxaUIhOBEH/r9RwDmRWN2KxjNALld/VtW91DMBVBbPg4kEUBg+L7Fdu/RVDHr8MhG8sxSckockM98on4PmFqaSV98qdZBqBhvma1SD4HEWihr6QZqRr245rUJ1f5qP2+9a/owdKibQ08esYi1mK1euxFdffYW0tDQ0bdoU8fHxaNeund71ZTIZ5syZg82bNyM9PR21atXCjBkzMHLkSJ3rHz58GLGxsTpfK36ob9q0aQbX98GDB/jrr7+QkZEBntc+oU6YMKHM7Z2cnCo01lhqaipEIhEiIiIQGRmJNm3aQCgUIjU1FbVr1y53fuVBgRmxLwIBujf/HPvOf1nhLER5Cvj9wyDKl0NW3RFKKQeHpwpkN5BCVMTgmKFAfg0xFM4cpNl23yCtF1+oPbI/16wh5NWdoHIQwOV8OsCrwNIfg6teTU8O5SAWgYmFENPsawbbm7IEXV+eA2FmHiCTA44Olc6TE4nVt7F5BoFIpH760kUC5u4CQXYBmIcrnjWWoEZSXpUONNt4dhxuz7T8oAww7lOZ27ZtQ3R0NFauXIm2bdvi22+/RY8ePXDlyhW9wcaAAQPw6NEjrF+/HvXr10dGRkapw0SkpqYiNDRU7+shISG4e/euQfXdsGEDxowZA4lEgmrVqmk9OMBxnM7AbPfu3ejRowfEYjF2795dav59+vTR+9rMmeqBre/fv4+jR49CJBJh5syZ4DgO3333nUH1rygKzIj9YAzgeVyLrlz/FdHjXAgdxLjzZjXU3pcHhyIlHr3qAV4MCJRAoY8YQgUgkwCZjSz7ySlLwYnEEKQ9RepgN9Q49t+vYkcHKGt7q6dsqiTm4QqluwOkWUDdH+fj9iDruCib2/O3Ltv1/Qrd3UZgX07F5y9kKhXw3BOf8sa1AADijDzIa3ngaVMHeN5UQOHpCFm9qpmkusH2ubg587MqybsqqHgBOB39yVQV6GO2ZMkSjBo1SjM4a3x8PPbv349Vq1bpbOXat28fkpKScPv2bXh5qWd/KGuIiLy8PDg56Q+qnZycDJ4r84svvsAXX3yBadOmQSAw7P327dsX6enp8PHxKXU4DI7jSh1gtniezu7du2P37t1YtmyZyebupMCM2A+hABCLAGHl7i/uvbEQ3VrNhv8xGRRuEsgCnOB+SwGOZyjwFUOSo0KhtxDSTAa5KwVm+hTfusx5LwJe/zyC8t/baDAjW/1kpkAAztEBAldHKN0r31Kz79wcvPrm15C7AQIR3V+uiKO/GqG/F+MBTqCZM1PpJIRQzoNTKKF0EML372wwgQByLynEefovmpVx823rCcoAgDEOTEfrWPGyFycM1zezjVwux5kzZzB16lSt5V27dtU7t+Xu3bsRHh6ORYsW4YcffoCzszP69OmDL7/8stTO91euXNE7X/WTJ4bfoi4oKMDAgQMNDsoAaN3ufPHWZ3mtXLkSYWFh6NGjB06cOIFVq1bho48+qlSehqDAjNiPWn7ghRzqr+eBoZXLqsjHEeI8JZ4FO8LhGQ8mVp88hXIGXiwA4zgUeQMSunWmV3F/I4enSrDHTwEAfJEMArEIKoUSAoUSwodPwFX3RLfwWdh/elalypO7CCBQAY4OCtT/eS7+HWBdF2hbkKDYipeHL4HnxWwUeTtBnKcEp+DBuzrAKSUTKCwCc3OGUC4GL7LMpw5NjWccVLz+W5kvzvM8c+ZMzJo1q8T6T548gUql0kxpWMzX11dvEHX79m0cO3YMDg4O2LVrF548eYKxY8fi2bNnpd7O69y5M3Q9V2joVEnFRo0ahe3bt5cIJg2hUCjQtWtXfPvtt2jYsGG5tweAd999VzPMxvTp0w1u6assCsyI3VC6O4BTMQgLKj/6vyhfCVF2EVweiqFwFiC7jgjO6Tx4EQcmBJTOgNwDUDlSHzN9Evnt6BEQBcHB8+ACakKoUoHz8QZzlED0LAcsN0898byQgyCr8jMACFSAJJvhyTMnSFzlRngHpCI8L+VAkFMIsVAITqECp1RC5u8GgcIBgiJniDKyoXB1hySr8t9TW6BiAqCUzv/37t3TeiqzrHmgXwyKSguUeJ4Hx3HYsmUL3N3Vt5aXLFmCt956C998843OVrOUlJTS31A5xMbGonfv3ti3bx9CQ0NLTOW0ZMkSvduKxWJcunSpXAPavmjPnj2a4TIuXrxosuEy6CcJsQvdQ2dA7iGGSiqE0kWCV95bXKn8Dhyejuwm7lBKBRAVMjhl8JC5CVBUjQPHM3BKdX8zt1scukZU/EEDW8fy8iEIDIDqTioevt8MSj8P8C4OuDa1DjgfbwAAJ1eqZwSobFkcIHfjIHoshkhYNbfJSNl4BzHktTzBRALwTmJktqiGQ/s/xd1uDlC6iKGq7gZOwSD3oGmZgP91/teVAMDNzU0r6QvMvL29IRQKS7SOZWRklGhFK1ajRg3UrFlTE5QBQJMmTcAYw/3793VuExgYaFAyxPz587F//348evQIFy9e1Mx3mZycjHPnzpW5/dChQ7F+/XqDytIlIiICn3zyCVQqFSZPnoyIiIgK51Ue1GJGbFr30BkAxyG/vieygoRwfSCAwolDbu3K9/2S5PEQyHiAAwRKAWQeAsg8AXGuesBZJgA8b8ggKKDWGX04by9kN68O9/wC1NxyA3B1AXNxRIMf8rH336/QI3g6eAcJBPLKD9XAMUCazaCScpDXoVOfuSQem6H+scIY8gOc8c8PEwEA/34ag9aXlqAgRALXBzwcninQPCoO55fa97hzPM+B03UrU8ey0kgkEoSFhSExMRH9+vXTLE9MTMQbb7yhc5u2bdti+/btyMvL00zgfePGDQgEAtSqVatc5VfEkiVL8N1332H48OEV2l4ul2PdunVITExEeHh4ibHLSmtxo+EyCKkCPfzGgq/jh8IaTpC5CSDNZji+bRLCPoiDy4PK32IUZ8sh95CgyFMIURED4wCHx+pbZkpnwPUOg9xNBMkjup2pT1HdasitJYBbNXdw6U/AHCVQuknBi4WIbDMXIqUKgnwZOFnlg9tnjTm4pgJgAH+v6oZiIGWTeTvgbk8Odz7SHnw5z5+Dwh1wfQBk15Eiv61xJrG3ZmV1/i+PiRMnYsiQIQgPD0dERATWrFmD1NRUjBkzBgAwbdo0PHjwAN9//z0AYNCgQfjyyy8xYsQIzJ49G0+ePMEnn3yCkSNHGjTyfmVJpVK0bdu2wttfunQJL730EgB1QPm8sm5x0nAZhBhZxLuLoexZH5wKyGzMARzA6uaj3tdLIK7FQd6wqNJlCAuVcMqRQebuAZVUPZis2z0lZG4CuNwHREUMLkk3wJngBGatDu3/FHW+Xwj5eWeInCTIC3ACOCAnUADfUwyyAE+IChRQGGFk8xufxaDl2DhIcoHCGkDQllikvGf4QJfEeJJ+0/2EZ2ENBudUDuJcFVRSjh7QANQd/3W0jul6IKAs77zzDp4+fYo5c+YgLS0NISEh2LNnj+bWYlpaGlJTUzXru7i4IDExEePHj0d4eDiqVauGAQMGYO5c08wHHBUVheXLl2PZsmUV2v7QoUMVLpuGyyDEiHpUH4MnkxpB6fzfFD8KwDWFQ46DE4SBBZArBYARGrGeNndFtTPZEMoYijwFUDkAkmcyKBwd4fBUjnx/Cfi6tSD4917lC7NlKg6PW0jgk8ygdOLACwFeBChcRRDKeHBKHtKHOejYbSEO7f+0UkUlr4xB8Iw4cDUKcfudGUZ6A8RYOBXAhIDCVYgKNAjZJMZ0t45VdBKTsWPHYuzYsTpf27hxY4lljRs3RmJiYsUKq6STJ0/i4MGD+P3339G0adMSnf937txZpeWvXLkS4eHhNFwGIZXRo8bHSH2/EZgA4FQcmFB9i7HAF/Bu/AQnu89H/Z/nwsmx8rfGirw4yHyd4PhEjtwABwgUAKfi4fywCLxIfSLNbuwCr1zvSpdly9yTxXC9r8LDVx0gkANMBBT68lDcEUCSJUdukAtcUvPhcCfTKOUxIaDMlRglL2JcwiIO7ikq/PXLZHNXxWLwjANnpJH/TU2pVOLw4cO4desWBg0aBFdXVzx8+BBubm6aPmul8fDwQP/+/Stcfr9+/XTesuQ4Dg4ODqhfvz4GDRqERo0a6dyehssgxAgevFsf+U1kcLwphdwdcHgigLAI8Ol1D7cfVkfo7plwdKjYqNkv4sVAxksS+P0jg3M6j3w/AZSu6gs+p2JwuVcEUbYMyC9Ej0ZTsff6gkqXaYuUTkCevxAcD8jd1UOM8I485C4iyJo6wetyARTuUnAq4/TVuzonBs1i4oySFzEyDsirKTR3LSyKMfuYmdLdu3fRvXt3pKamQiaTITIyEq6urli0aBGKioqwevXqMvOo7K1Dd3d3/Prrr/Dw8EBYWBgYY0hOTkZWVha6du2Kbdu2YeHChThw4IDOvmyenp6a/0ulUigUihID+lbFBPI0XAaxKReWxIDLEUPhArjc46CSAsq2OXiS7wwHJzk4jkGuNM6J/8q8GMg9GZTOQojzeUhyAZmHGCoHIeRuIhT4S8HxPODiZJTJ021VoR9DXiBDfl0F5NWVECgAhzQRJHk8shoxPA11QoGPcYdOkBv/XEqM4Mb0GAiMMGe9TeE5MB1JV78zSxIVFYXw8HBkZmZqPSjQr18/HDhwwOB8lEol/vzzT3z77bfIzc0FADx8+BB5eXllbuvn54dBgwbh9u3b2LFjB3bu3Ilbt25h8ODBqFevHq5evYphw4bh00/1d5FISUlBr1694OzsDHd3d3h6esLT0xMeHh5agZsxUYsZsTnibAGUzgxMyEFWSwHkSiG44gbmCBQ4MQhkHITNM/Hyvuk42X1+pcriaxYhs6EjvK4r4Zoqh8xLBOQzQKQe3+xJuCecHqsgfVr5+R5tlcpNCV4ugOM9MRTODKI8Dk6PgDx/AZzvA9ltC1FjpwRFPsZ7iOLabPsegsGSud+i4WWep+5jpnu5JTt27Bj++usvSCTa3QYCAwPx4MEDg/KobKvb+vXr8ddff2lN6SQQCDB+/Hi0adMG8+fPx7hx49CuXTu9ebz33nsAgO+++w6+vr6VGrDWUBSYEZsjaJIL3HWBwgUQZIsgUABFLQqhkgvgeFMKUassiEUqKI1xO1Ol7vSvcBRADMDlbiGULmLInDgIZQwKVw6Sm3KIMmhuJn0c7osBTn1rWJzHgYkAlVT9t+s9hjyeQ4GPENIcgVEeACCWLas+9f97HuMFYDrOVbqWWRKe53VOEn7//n24uroalEdxq9v58+dRrVo1zfJ+/fppJmIvjVKpxLVr10pMyXTt2jVN3RwcHEoNti5cuIAzZ87o7YdWFSz7kyWkArhzrmgSdgeFvjxuR0+E0pmHw3lHeJyS4uqXMRDt84D8gDdE27wqXZbwkUTTYT2vhghggChXAVEhg0jG4HZHiSJvKVTehp2I7NH1L2Lg/BAQyNSD8koyoR60Vw7k+3Go/qcUkjyGpyEcCr3pt6StO7eCWjOfV9xipitZssjISMTHx2v+5jgOeXl5mDlzJnr27GlQHseOHcNnn31W4Va3IUOGYNSoUYiLi9O04MXFxWHUqFEYOlQ9YXJSUhKaNm2qN49WrVrh3j3TPllPZzlic67OiUGLPz7HnY8noXl0HNyZEDn1ebjcEaDViCWQKtQjwD9rWvnfJaxmEUR31bfYHJ6pwEQcmFAASbYSMk8RnO8XQO4hxe3+zmXkZN8YB0izAaWD+rNROnLgHQGVAwBwcL+tgsd1ATgLvxjZuuDpcbgynwInU9L0KdOx3JLFxcWhY8eOCA4ORlFREQYNGoSbN2/C29sbP/30k0F5VLbVLS4uDr6+vli0aBEePXoEQD1pe0xMjKZfWdeuXdG9e3e9eaxbtw5jxozBgwcPEBISUmLIjmbNmhn0XsqDAjNik5wlcrw0Jg68M8BLAJe7AlxcHIPGs+PAN82D4zEXiIzw5PPtd6cj5GwchDL1VD9F3lJ1a4+CwTFDhoxwV7ilKlHjOF/5wmyYe4oCKgf1dFm8mIM0myE7QgaWJ4bDYyHy/IWQZjPwQsu+GNmiOhsW4c6IKQBQpUFZ3aVL0KTlHWTJHPFX5MIqK8cqWeEPEn9/f5w7dw4//fQTzp49C57nMWrUKLz33nsGzxpQ3Oq2Zs0aAOVvdRMKhZgxYwZmzJiheZryxacoy5pe6fHjx7h16xZGjBihWcZxnGbyd12BY2VRYEZskkSoRI4TwPHqW2TokKWeiokxZEtcUOgNoz395XVdCfwXL6ik6nkyHfJVkHlJ4JaqhChfBZUD9RoojUDOg1MxiAqA/BpiKFw4+O5VD5EhlKtHgc+tJcClRdRaU9WCNsciZfA0NPoyDu6tHuPOiPlo/vvnON/7SwBAwx1f4sabnxulrNgrPTEteA8AoF7ze3hW5ISHqdXK2Mq+WGuLWUFBAZycnDBy5EiMHDmyQnksWbIEnTp1qlSrW7GKDmsxcuRItGzZEj/99JPJOv/T1YLYpPsna0HpAuQ0VEGgBAqveUDhCjzrVARwQM029+H2ymO8sr/yU/IwIQeBnAFMHQgK/3uojOMBXsxBlC+H470c9Kg5vtJl2SqhTB28CotUkGbzEOczCIt4KJw54KMMqMQcLi2KQfj7+icdJsbh4qaeruz65zGap5aLgzIARgvKAGDr7TDUW7wEMecGwkmkQHqGOxrWf4i6P6rL7XhwEupssvfWM66UZLl8fHwwePBg7N+/HzxfsTsGNWvWxLlz5/DJJ59g9OjRaNmyJRYsWIDk5GT4+PgYuca63b17FwsXLkTr1q1Rp04dBAYGaqWqQIEZsU1M/VSf0FOOkPeuwD/sIZy6ZQAAeAnDoU6LUZRQHel3Kv/rXJSvgsJFCOkzOaSZSvAigJcKUOQphCRHCSYUgElEYNWrZswbW5B4bAY4FQMvUZ+SVGJA7iqAQAEc67IIrvdkaDVyCRwy6ZZwVVOc9TBZWed7fwmBgkO+UorLD/0QXjcVqUdrg1cI0XhmHPK/rwmnG3b+lCZfSrJg33//PWQyGfr16wd/f39ERUXh1KlTBm+vUChQt25dpKSkYMSIEVixYgVWrlyJ999/3yQTqBfr1KkTzp8/b7LyALqVSWxUyGv/Ik8hwc07fjj3azDyGijg7FWAiHopuOrhi5ApcZB0eQp3I9wOOJTwKdoMWAylkwgCFYMkRx2oud4tgsJdDIWzEJJsIVQONKJ5aRQuQiAPcHhUBHGeCCqJAI8/KEDkq/OQ09AR0iweQoUVdraxMtdmmfZ28dy3fsSp/LrwcivA7WwvyLx4SFPVwVhOHXXXgLpxS3A7ZqJJ62UxGAedE4da+Mj//fv3R//+/ZGbm4tffvkFP/30E9q0aYOgoCAMHjwYX3zxRanbi8ViyGQyk9w6LM3rr7+OmJgYXLx4EaGhoSU6//fp08foZVKLGbFJAo4hsUMcJK5y5AfLAAZc6TsLf12vj5qu2RC0y0TRsWrIve1hlPKUThyKvEVgAg5COQ9plhLCAiUcMorAiwWQu4sgzlUYpSxbJSriIVAwcIxBJRaAF3NwkCjxNNQJWQ04cDwDp2ToFElTW5lL2N7/Tfze7LfSL6yGeqx0xd18L2TlOSL/pDekz9QDC7vcZxDnqodTsdugDADj9Sdr4OrqihEjRiAhIQHnz5+Hs7MzZs+ebdC248ePx8KFC6FUmm86iDFjxuD+/fuYM2cO3n77bfTt21eT+vXrVyVlUosZsUk72qxEv78+BuNrwKd6Dk52n4+gFYvBQYTf2i1HhwOTgc4FONz5a6OUJ85nEBWoIFDyeBoshVuqCgKZ+utV5CmANBso9JUapSxbJX0qR15tBxRVE4EJOcidOZztORdtv/saMjchxPkqiJ8UIr2dh7mrarfyTnkDPdT/dxAb52J5vaAGzqf5w+N3ZwhlPIRyhmM7JqPRl3FwvUMtpNbaYlasqKgIu3fvxo8//oh9+/bBx8cHkycbNkn9P//8gwMHDiAhIQGhoaFwdtYedmjnzp0ltlm2bJnBdZswYUKZ61S0f1xlUGBGbJaI41HTKwvPCpxQ/+e5cApQIj/dBa/sn4a0+z7geA5N82Yh76kT7o6cUqmyFE4cGCeEzEMIp8c8VGIOCjcxBHIevBiQu3B42gKIGLQYf/84yThv0MZwKh7Pmgjge0r9JKussTqQVToKIM0CFC4iSO8Uwvck3RI2F0m2+t+68UvQ6KV8o+R5YGc4pAXAo9cU4DiAyxciaEssot8+gKjGfxqlDGvG8eqka7klS0hIwJYtW/Drr79CKBTirbfewv79+9G+fXuD8/Dw8MCbb75ZrnLj4uK0/n78+DEKCgrg4eEBAMjKyoKTkxN8fHwMCszMgQIzYrMKlGLw4ODqIENhkQT5aS7wCMiGu0MhMvK94dPoCTiOgfes/C/PjNY8HNOEEOcBjk8YHr9eBO/9DmCcEAI54JDJo9o5ARiNkKrXrbec4fgIeNxCBJVUBIen6uXZ9Th4XeXhdC8PGR1rwOUB3RI2hXpfL8HonomYErxXs8y/z10AAO+uxN7XlhqlnCIfHqI8ASSPxBAoAa8rPBw+eEJBWTF9E5Zb+HAZffv2Ra9evbBp0yb06tWrRN8sQ2zYsKHc26SkpGj+/+OPP2LlypVYv369Zkql69ev44MPPsDo0aMNym/ChAmoX79+iSBuxYoV+Pfff7VmNzAWCsyIzUrLc0PBKfVTl0ovHm51siHgGGRKEWo1TYeKF6BIKUItz6xKl+V9RoCnLXgAAsjb5YE9dMazpkC1iwDAkP6KEKJCQFhg2SdTc6rW9Ame1nKGIMUJCncVOF6Ilh/HQeAJOKWrJ4F3eqyCsMjCmwpsQN2f5oP3EWoFZS/t+QxCzgkANAPOGgXPAUw9rmD1Nmk49vki4+VtCxh0DzBr4b/x0tPTKzx2mLF8/vnn+OWXX7TmuWzUqBHi4uLw1ltvaSYoL82OHTuwe/fuEsvbtGmDBQsWVElgZtbO/7GxsWjVqhVcXV3h4+ODvn374vr161rrMMYwa9Ys+Pv7w9HRER06dMDly5e11pHJZBg/fjy8vb3h7OyMPn364P79+6Z8K8QCBbpnoqi2AoLm2RD4FEF5whNu0iLkyyUQC1SQK4VwFCvg7VD5WzJPXubhfkMAp0eA5KgrxH4F+PeTifjn+4k4tWEi/p0Sg2szY3B5IQ2Qqs/J7vOhypLi5tQYSB8LISpQ991zv80jq4ED9p+ehaO7JuN2//L/8iblc679aji7F6L57/8bs+xsz7nIP1YddZctNmpZoyIP4saMGFz/IgbHulBQVkJxi5muZGGKR9d//m99yRBBQUGoW7eu3lSWtLQ0KBQlW9hVKpVmiqayPH36FO7u7iWWu7m54cmTJwblUV7lDsyGDx+OI0eOGKXwpKQkfPzxxzhx4gQSExPx/+2dd3gU1frHPzPb00NL6ARQWmiCCihNpQS9iP7uFUFFkXsFEaQpiihNmigERcWOXrwgongtl6oURVCUojQBIRQhCARI3zZzfn8MWYhpm+yGJHA+zzMPyZkzZ86eLDvvvud9v6/X66V79+5kZl58UM6aNYs5c+bw6quv8tNPPxEbG0u3bt1IT0/39Rk5ciSfffYZH330ERs3biQjI4M77rijVEolSCoO23+vg/mUhew/wjGZdJzNsjlxPhIdBV0odK5xkKqOTLx64DFLaoSbrOqAgOwOmcRG+/fBI8lNRI006r47C0+k4Q6IGZSEK0LF7LzYR/Uq3PiAFJotTXrtuZfM5DC61d6fq912HqIaniMhLnhZkuObfRW0sa5EFFHwUd6Ijo7m1ClDLzIqKoro6Og8R067P4wcOZIRI0b4jqFDh9K+fXtSU1N55JFHirz+1ltv5V//+hc///wz4kLV959//pnBgwdz2223+TWHhg0bsnLlyjztK1as8Ms4LAnF3spMT0+ne/fu1K5dm4EDB/Lggw9Ss2bNEt38ry92wYIFVKtWja1bt9KpUyeEEMydO5fx48dz9913A/DBBx8QExPDokWLGDx4MKmpqbz77rssXLjQt9AffvghtWvX5uuvv6ZHjx4lmpuk4nP4waeonzgHot2ou8M4NHEU9T54gfrVT6Aqgq//uJbq4Wl49cAdx4f6PcM1MxPZ+vbV6RGLmzebpOGBJzVkO62YHF50j8ruGU/Q8MU51DzuxXtJSatDI0bToW9wvTaS3Gy8bRbXpj7P5lP1aDtoDj+/axhiWs9z/NprKiQVMYAkeFSgrcy1a9dSqVIlANatWxfweCNGjMi3/bXXXuPnn38u8vr33nuPBx98kBtuuMEX4+b1eunRowfvvPOOX3MYPXo0w4YN4/Tp09xyyy0AfPPNN8yePbtUtjGhBB6zTz/9lOPHjzNs2DCWLl1KvXr1SEhI4JNPPsnXZVgcUlONlJ+cP2xSUhInT56ke/fuvj42m43OnTuzadMmALZu3YrH48nVp0aNGsTHx/v6SCoGt38b/AwZ2zkFx147nkbZNJyVCJkm0jw2th+vSbbLQtKZypxMC04cxIGnr06jDCBp+BgafDQ94HE8pxyYLDqHhzxB/blziNkiSKtjJuz3NOotuLjNtWmJzGwtbZQ9YdSLOEtmjYtbZr/+bUoZzujqRKEAj1lZTywfOnfujNls+Hvi4uLo1KkTnTt3znV06tSJuLi4gO6TkJDAp59+WmS/qlWrsnz5cn777TeWLl3Kxx9/zN69e1m+fLnfJZ0efvhhZs+ezbvvvkvXrl3p2rUrH374IfPnz+df//pXQK+jIErkKqhcuTIjRoxg+/btbNmyhYYNG/LAAw9Qo0YNRo0axYEDB4o9phCC0aNHc/PNNxMfHw8YwYMAMTExufrGxMT4zp08eRKr1ZrHNXppn7/icrlKtN8tKV3+18l//Rl/0azgjhQox+yo9TOIa5xMqtMo5+HOtuDxmMjMlPpiwUD8aQ94DHOWgpbsoMGSaeghGqpHJ2bjWdTUTKqvMdHsqUS63TSVzr1kLFJBdFsfnC8IrtpujmdEEtPleFDGk5SQChRjdilxcXGcPn06T/vZs2cDNsw++eQTnwPHH+rVq0ejRo24/fbbufbaa/26JiMjw/fzo48+yh9//MGff/5JWloahw4dYsCAAcWet78EtIeTnJzM6tWrWb16NSaTiV69erF7926aNm2aR0ukKIYNG8avv/6ab8X4v5ZkEEIUWaahsD4zZswgMjLSd9SuXbtYc5VUHCzp4PhTIeSEwv6/P8eRnTU5fS4czWtCUYQhl+E2EffhjLKeaoVHmALfW/n9ydGYM1TMFg3FpZLS1Ixus6BHhhL+eyaxW5x4IqzYzjqLHuwqJWlLnaCMo6aZObW2JikragZN5V9SAkQhRzmmoGdwRkYGdrt/X+Jat27Ndddd5ztat25N9erVeeaZZ3jmmWeKvD4rK4tBgwYREhJCs2bNOHr0KGBIYMycWXgFkSpVqpCQkMD8+fM5ftz4clK1alXCwsL8mnsgFDvGzOPx8MUXX7BgwQJWr15NixYtGDVqFPfddx/h4eEAfPTRRzz66KOMGuXfN7fhw4fzxRdf8O2331KrVi1fe2xsLGB4xapXr+5rP3XqlM+LFhsbi9vt5ty5c7m8ZqdOnaJDhw753m/cuHGMHn0xeDUtLU0aZ1co9rPgrAK7XxpFvbdfRDGpqEcdiDrZHOr/DHXfm4Vq1bAmBe7tudoJluClOQOyTodgcik4qwrOxYfx03uj6d7+eQ72M9NkdgqUgRp3RUEL0Wk+JpGdswPznNn/NL63p8e7OSy3MMuMiiYwm/NsVRSF5557jpCQEN85TdP48ccfadWqlV9j9enTJ9fvqqpStWpVunTpQuPGjYu8fty4cfzyyy+sX7+enj17+tpvu+02Jk6cyNNPP13gtfv27eOLL77g008/ZeTIkbRo0YLevXtz55130qJFC7/mX1KKbZhVr14dXdfp168fW7ZsyXeBe/To4VPZLQwhBMOHD+ezzz5j/fr1edybcXFxxMbGsmbNGlq3bg2A2+1mw4YNvPDCCwC0adMGi8XCmjVruOeeewDDk7dr1y5mzcp/u8Nms2Gzye2rqwFHioazsonrHk1EbWyIvaIILL85aDo+EUtLNxwOxVXPVdZTrfDo4cHJghZmULNULOkK7miBK1IhIXYoZ+9oSNwnHvQQG2p6VlDudaXRalgiognonVIDHkuzw77nRnHtJ88HYWaSElOBgv8Btm/fDhjP9507d2K1Wn3nrFYrLVu29Lsk08SJEwOay3//+1+WLFlCu3btcnnvmjZtysGDBwu9tm7dugwfPpzhw4eTmprK8uXL+fzzz5k9ezbR0dE+I61z586YTMGtRlJswywxMZF//OMfhboio6Ojc6nvFsRjjz3GokWL+PzzzwkPD/fFhEVGRuJwOFAUhZEjRzJ9+nSuueYarrnmGqZPn05ISAj9+/f39R00aBBjxoyhcuXKVKpUiSeeeILmzZv7nQ4ruXIJPZJOWr0oFA30EA37KTPZ1XU0u0Cp7OLQPc/SeGIiurmcfv2sQFRfY6LRsUT2TQjMU6O6IfS4YmxDn1YIPamB1Ur0b9mo2W7U8+mI8BASqj/GiuTXgjT7ik+zzycRlhaBLUVl92OTAh7PdhaaPpNI8zuSA5+cpMQouoKSTzxZfm3lgZxszIEDB/Lyyy8HJDK7bds2LBYLzZs3B+Dzzz9nwYIFNG3alEmTJuUy+vLj9OnT+Qb5Z2ZmFhkOdSmRkZH069ePfv364fV6Wbt2LV9++SUDBw4kPT2defPm+SVW6y/FjjF74IEH/N4fLor58+eTmppKly5dqF69uu9YsmSJr8/YsWMZOXIkQ4cOpW3bthw/fpzVq1f7tk3BMBb79OnDPffcw0033URISAhffvll0K1YScVj1dbJ1FhzBvtZDbwKnjAQkR4UXcHyu4OWIxOxnTfkLiSBkVVNJer3wL/Ghx0XVN3uwuwURBzz4g1R8daqgm5W0G0WyMpGyZIezr+ScTqUk529ARvGOTirgqLB2QvJMpIyooLGmC1YsCBg5f/Bgwezf7+hpXfo0CH69u1LSEgIS5cuZezYoqtPXH/99fzvf//z/Z5jjL399tu0b9++RHMym810796defPmceTIEb755hu/Ewr8RRE5qmtXMWlpaURGRpKamlrmJSQkwafbzdNQXV4APBE2/rjVRo3vPJxvYMHkBtt5nU0fj+G6RxPZNv/qlbwoDs2eSsQTDvYU6DpgC8t/b0bI96FU+ymTNd8/G/D4TZ5LJPZHNyfbWbGdg9h/7wSLGcVshkpR4PagJ//Jqsx/B/5irgAaLJmGN9PCkYeDWCoJuG5IIhm1QW2Szm93ywSAHC7HMyPnHvUnTEfNxxmiO50cmvJMsefw+uuv8+KLL5KcnEyzZs2YO3cuHTt2LPK677//ns6dOxMfH8+OHTv8utdPP/3E0qVLOXr0KG63O9e5ZcuWFXl9ZGQk27Zto0GDBrzwwgusXbuWVatW8f3333Pvvfdy7NixQq/ftGkTPXv25L777uP9999n8ODB7N69m82bN7NhwwbatGlT5Bw0Tcvl5Pnxxx9xuVy0b9++RPU//aFMSzJJJJcFIXBWc6BbTFhPphOzxcv6FWM538ZDWLIXd7hCoymJeKRjwG8yG3pRdAg5Ldgx4Tr0IyFEHPbijip8a8FfovfrmDM9hCRDzMbzCE1DcTjAbgOvhh4Vilo9puiBrgLiXp2N2aIF3SgDw2NmcoKiCP723fCgjy/xg4JU/0vgUlmyZAkjR45k/PjxbN++nY4dO5KQkODLViyI1NRUBgwYwK233ur3vT766CNuuukm9uzZw2effYbH42HPnj2sXbs23xJH+SGEQL+Q6PP111/Tq1cvAGrXru1XOaQOHTrw/fffk5WVRYMGDVi9ejUxMTFs3ry5SKMsOTmZm2++2aedeu7cOe644w7at29Ply5diI+PJzm5dLb5pWEmueLxhlqwn8zEfCoVJSubsH1naTtoDpU3W9jw5ZOcvdVJ5EGBHhyb4qqg0RsZ1FqbTegJFyH7zlB5F4QeSsWcHZwEgMgf/8B8KJmqW86iOt2otWuA2QQeL8JuwV3JgQi7MizpGx4MrLxU0rAx7Cslb1ZGHdCtsPeuiXzZcV6+fRovm0K9fxcuPSAJAL2Qo5jMmTOHQYMG8c9//pMmTZowd+5cateuzfz58wu9bvDgwfTv379Y23/Tp08nMTGRr776CqvVyssvv8zevXu55557qFPHP0mXtm3bMnXqVBYuXMiGDRu4/fbbAUN8/q/6pgXRvHlzPvjgA3bt2sWePXv48MMPfTFrhfHUU08hhOCzzz6jevXq3HHHHaSlpXHs2DGOHDlCTEwM06ZN82sOxUUaZpIrHtWr464SAiaT4XHxeInel40tVafZuET0VCthJ9xYAq9lfkWT0GQcHe6ZTefbZ6GeOo853YUlJQvOpVJ55e+gqpjPBUlfTNMRWdkIswqKgjsmHLKdiPQMlLNpqB6d7JphtO9fsUszNXo+Eb3YKVj+EYyyVfueG4W99dnCO/0SXvh5SUAEq1am2+1m69atuarkAHTv3r3QKjkLFizg4MGDxc6QPHjwoM+QstlsvoD7UaNG8dZbb/k1xty5c9m2bRvDhg1j/PjxNGzYEDAEZguSw7qUbdu2sXPnTt/vn3/+OX369OGZZ57Js7X6V77++mtmz57N3/72N15//XU2b97MxIkTqVmzJrVr12by5MmsWLHCr9dRXErpI0EiKT98s3Yc3dtNQdgtCKsZvDquSlZC/8gm9LiC6vQgLCa8dimhUiiZ2ZhdOooOIiIMNS0bvF601DRUhx0l+TTexsHTA1TsNpTULPToMFS3DpqOEhoCViuaTeXkjRYq767Y2bTVtmmcrx/8JKX2/WazOUhlq365o3C5jPBjApNL/t8pNYqQy/hr5ZqC5KDOnDmDpmmFVtL5KwcOHODpp5/mu+++85Va8pdKlSqRnp4OQM2aNdm1axfNmzfn/PnzZGX5J3fTokWLXIZVDi+++KJfyX2DBw/m6aefpnnz5r7kgbvvvpulS5eSlZVVaK3Lc+fO+eqAV6pUiZCQEOrWres736BBA7mVKZEEgifChuLR0C0mPJUc2M64MJ84i/nkebRQYw8z5PSVmwdz/cDAtssAxPlUbKddWFLdFz85zGbDKLNaQRdYfis8GNdvbFYwmxEhNrKrhyDMClgt4HCAScV+Ip2QP0H1VOy/mf2UE9Ub3DEbT0rEE1r6UgoNP55Ki1GJnO7ixhta6re7ainKY1a7du1clWxmzCi8iom/lXQ0TaN///5Mnjy5RFmHHTt2ZM2aNQDcc889jBgxgn/961/069evWLFq+WG32/0KvN+/f79Pa3Xp0qV07tyZRYsW8f777xdZa7NatWq5DK9hw4blKgN17tw5QkNL540vPWaSqwLdokBGFqrNguLVMR09aWxt2lTMuw+jhIcRqZZPXaBgUHn7+cAHMZmMtTv2J4SFQpbhMVPCQsHtAYcd/XQKPUIHBJ4t6fZAaAjJXStTec8FaYyIMHS7FTXLRVrjaExOgeNUxZPNaDo+kT3TjOzfP24JxZG3nGBAVN/k5uSjpV+y6vd7ngVD01uK0JYmgvzjyS4YZseOHcuVlVmQeHqVKlUwmUx5vGOXVtK5lPT0dH7++We2b9/OsGHDANB1HSEEZrOZ1atXc8sttxQ47VdffRWn03gfjhs3DovFwsaNG7n77rt57rnnCnnBF9E0jcTERD7++ON8MzvPni18m/2vyQN33HEH4F/yQKtWrdi8eTM33HADQJ4SThs3biy1CgDSMJNcFdjOunA1isVyzonp1DkwmdBjKyGsZtSIEIRH42yzUOq9/SKH//VkWU83qHTuNQu7KQhGp6Kg7DkIdWoijp9EeL0oJhNK5WiwWtBPp4CqoFatHPi97DZEiI3YTWloIRbMaS7waiheL3i8hJ5w4rComI+nBH6vy4zJBT1bPsfKX55n7/PBl2c5PtjN/rsCU0z3h3r/foHDA54CYP/f/XvQSopPQfFkOW0RERF+yWVYrVbatGnDmjVruOuuu3zta9as4c4778zTPyIiIs824uuvv87atWv55JNPiixEfql3SVVVxo4d65f22KVMnjyZd955h9GjR/Pcc88xfvx4Dh8+zH//+18mTCg64SUneeC2225jw4YNviQHf5IHPv/880LP33DDDXTu3Nn/F1MM5Fam5KrAHWnFnO5G8ersfT4GUTmSfSNCWL35OY7eEY2rZgTuO85jCveU9VSDTsjh8yha4Ft+K8++jaKqHHiwKlpGJorZjBLiAK8G2sWv9CItI+B7rdj/AsqZ8yAEllPphqCs2WR4Dkwq5pPnsZzNQo+qeIHnuhmE1Uz3dqVTf1ItblS4nzRYkjsDLccok5QuObUy8zuKy+jRo3nnnXd477332Lt3L6NGjeLo0aMMGTIEMDxbAwYMAAxjKj4+PtdRrVo17HY78fHxRW7jmUwmTp06lac9JSXFb/H3//znP7z99ts88cQTmM1m+vXrxzvvvMOECRP44Ycfirw+0OQBTdPIkXoVQqBpF7POr7/+euLj4/16HcVFeswkVwX2Y2nooTac1cM4/MBYeODiuT1Tr1xR2c69ZmGOCUfRghMkLzSNBpO2IVQFVNXwmikK6DqKyYRwB9GwdblRT50Hk2psOwMixIqSnmlk1+o6qrPiGdI1vstETUlHr1w6RmWN+Va4O/jjHuw7Ptfv9RdPlxUzLgcFSWOU4L903759SUlJYcqUKSQnJxMfH8/y5ct9Qe3JyclFapr5S0Ha9S6Xq8hSSjmcPHnSJ20RFhZGaqpRA/aOO+7wazs00OSBl19+GbPZzOOPP86rr76Kx+PxFWkvTaRhJin3dOswlTWbAlOTX7m7dPRmyjPXzEikbqYRWa56dHq0nsiq7ZMDGlOtFI128k9QVITThWK1QHQUevKf4DXuJbKy6OF4gFXZCwO6l/B6UVQFhDBizoRA1XXQNLxVwzFluBBW6NrjBdatqjjeG91qQq8UhppaOoXYM2peHkE+R8jFeJ+m/53Enj6TLst9rzaK2sosLkOHDmXo0KH5nnv//fcLvXbSpElMmjSp0D6vvPIKYCQZvPPOO4SFhfnOaZrGt99+S+PGjf2aa61atUhOTqZOnTo0bNiQ1atXc9111/HTTz8VGEvnD/6WlRw+fDjdunWjc+fOfPLJJ3zzzTclvmdxkIaZpNyT0lymfBWXJhMSqXxQxxtixpLqRnF6UbTAxV9FRqaRgQmGh8zlQnFeDMDXi9AGKg56RgYms/mC2r8XdN3I1lRVzGczQdPRokIrlFEG8M26cfRoMxGKUUS5OKgewXVDEtn2Rul6gnffOQmAVv97Dn17JehTqre7egmix+xykJiYCBgeszfeeCOXZ8pqtVKvXj3eeOMNv8a66667+Oabb7jxxhsZMWIE/fr149133+Xo0aOMGlX0+zuQ5IHJkyejKArVqlXj5ptvplevXkyfPh3Ar/i2QJCGmaRc073984RHS42k4hJ6XBD93THweCAi3PA6eQM3zPSMDFSHA+HxIjQ3mM3oZ86iu5xGIoDJhNAFiMCfGkLT8J49Z4zp9aCYTKjVKqGoF0JjPR4UXafH9ZNZ9VPpB7sHEzXdiQix0e7+OfzwYXC3RkwuQfQJJ20HzaHqhmRW/P5iUMdv+PFUIyPzAjtufx5uD+otJJcQbI9ZaZOUlARA165dWbZsGdHR0SUe69JMyL///e/UqlWLTZs20bBhQ3r37l3k9YEkD3Tp0gUwjLfatWtTo0aNUgv2/ysy+F9SLkloMo6EJuNQPBruqOALcF7puKIUCHWgp2fA2fOQmQVB8GYJXaA7XahVKiE0DT3baXjJFBWhaQhNM4wyJfCPFsVkQlEVhNeIIxOahhbhwF0zymdkKm4vuqUCvj88HvBonG0SfK+ZIkCzm/CEKpxtXz3o419qlNV9b1bQx5fkJpjB/5eTdevWBWSU5Ue7du0YPXq0X0YZBJY80LlzZ5o2bcqWLVv44Ycf+PHHH2nWrNllMc6kx0xSbmh3/xxUjyD8UAYZ8VVQdOMroWZViPtwBkn3jyvjGVYMmjyXSL0P9+M9bej0CJcLxWwx4sGCQE7clyhsazQIHrPVno/oZuqLYrYgNA1TRDgei4rlVAZkOyEiDCU9C7O3nD+h8kNR0cNtuGKDm7zQ5LPJaK0jiN0iCD+ukV2pdI3W0iicLvkLRSj/l1c0TeP999/nm2++4dSpUz49sRzWrl3r1zgLFy7kjTfeICkpic2bN1O3bl3mzp1LXFxcvjIflxJo8sCyZct49tlniYiIYOLEiXz66acMHjzYr3kHgvSYScoF7fvNJnJfOrbzXlb9NJHsSirnG5jIjDWRGaOgmsv5p1A5ou5/z/iMMsMgs6LYbQhvECTmhW54xrKyi/SKdVP/EfDtVIsZoWkoqoKemYXqFZB8ClxuQ6LD6QKPl57Nxxc9WDlChDtQ010cGRRcw8b2TQShySBMis8ou/GBwKs+XEqDOcEdT1I4waqVebkZMWIEI0aMQNM04uPjadmyZa7DH+bPn8/o0aPp1asX58+f98lVREVFFVpOKYec5AHAlzwA+J08MGjQIBISEgCjpug///lPv+YdKNJjJilz2vefTdS6g5y49xqclaHtoDlse/di3E3jZVMIs1Y8WYSyYuXOafSw34fuMbIaFZvNiDEDulv7s9q9qMRjr9GX0t3aHz3jQsV3RfV5x3zxZeScCnybLscoM37RWbNxPD0jBhryGdlOhMeD4nIb5ZoqEMJqBivc1mkaSb0dHHyi5HFml3qTq23N4EyLMIQCtjQdk1vgCQ3e9+8OfWdTK12D0lcMkORQQT1mH330ER9//DG9evUq8Rjz5s3j7bffpk+fPrnizdq2bcsTTzxR5PWBJg+88sorUi5DcvXRvv9sIg5koNesilCg8i4dRRO5Aox/u7t0M2CuRLwd4rFsPwi6jsjKQnE4IAhZmQDC60G1WhEaqA47wnUxKzMYxthfuTShoGfkw4gLkhlKthN0cUHnrGKV01KcblBVCLFQfbNOvfdf4PBDxc8ubfZUIpVTbNTLeInDQ54AIai8K5PMWg7c4QqaVSW7cIHzYrFpyRjaPJJ4WbI+JQYFxZOV9xgzq9XqE3QtKUlJSbRu3TpPu81mIzMzs8jrA00eKCu5DLmVKSlTNi8agzfUQkb9CFDAkq7hDVERomI9aMsbh3vZ0FJT0dLTwWwGTUPoIiiGk2IyITQN1W5DsVpRIyPyeMtQ1KAkAAAX562o6FlZqOFhoCro2dmgKr4anoHSo/VE6s+9PNt0SnoWikdDKOA46aTeRyUbx3FGYD+rE37ARLv7ZiPMF4R4VYjek4UlUxB2NLiuFZNLYD9Xzq2CKw2Rz1HOGTNmDC+//HKBQrP+EBcXx44dO/K0r1ixgqZNmxZ7vOIkD0yePJkZM2b45DJiY2OZPn06U6aUTsWOS5EeM0mZc6aFA80GNTZmcKZVGOc7ZlP9Ezv0LeuZVVwOPjGabmONGC89KwsUFdVqDYrOmJKjS6RpCJcLNSoSPIZOms+ICkLwfy7MZhSvF8UWgsjKNsRnzWYURTW8ZkGQAlm1fTIJtR7n1v9O55v1patov+JwIj2unwyqQnaMHUUXdO3xAofvMJM0fIzf42TUUYhM8qAIE5pNwRtixp6UQmSmG2dsKK5IBfs5Qft+s9m82P9xCyPkTw9nWlweEVtJxfWYbdy4kXXr1rFixQqaNWuGxZI73GDZsmVFjvHkk0/y2GOP4XQ6EUKwZcsWFi9ezIwZM3jnnXf8mse+ffuYN28ee/fuRVEUGjduzPDhw2nUqFGh10m5DMlVzS+vjCKzrs7JZzxkXdh20azQfvXTQb9X+36zgz5mueUSj1WO7ITiZ426whC68EljCLcbvF6UEIfPYyZ0kdt7FgiKahh6Xi9qtapGAoOqGgXVrVZQFbyxUazY/0Jw7uf1Yv39JLfeMiM44xWCq4qD9Do2VE3gOJmN16FSc33x1i16n47q1vE6wOwUqG4NEWrHU8kBGA/vc3dm4g4P3kf9sYc0ds2S25iXi4oa/B8VFcVdd91F586dqVKlCpGRkbkOfxg4cCATJ05k7NixZGVl0b9/f9544w1efvll7r333iKv/+STT4iPj2fr1q20bNmSFi1asG3bNuLj41m6dGmh15alXIYiAvEzXiGkpaURGRlJamoqERERZT2dq5r2/Waj6HCyjws9zcrhwUUHeEry0mDOHBo+s9UIkr8QW3apvMVqTwn3zi7Q3XIvQheoFjOKzYaeleUb/1LjT+iCNdqSgO7Vw2EUNhWa5htbsVpAVVEiw1lxODGg8S8loapRzBmbFTSNFcmvBW3sv9Lu/jnYznnJrG6m0q8ZZNcMMYysEBPfL/XPu9W1xwtYU7IRZsPwyqgbSuixbLRQM1nVLJizBel1TChe2PGqNKaCxeV4ZuTco8XD0zFZ85YQ0txOfn3vmavmuXXmzBl0XadatWp+X1O/fn3uv//+PNuPEydOZOHChRw6dKjQ6998801q165Nr169WLVqFYcPH5ZyGZKrj82Lx+AOU1BO2KlU+3xZT6fColsEuseL8HiNrMxSwBevdkHS4kKj73zQvGbGYHnEZtF1YxsziOhZWYYX0HUhOL8UsZ/xIMwKjhQdb7gVU7aGblEwuXRaDfPP2DSne1AzXSheI2nGE6KgOcwoHp3z16r8cRvopvK/7SUphPziyypInJnX6+Xrr7/mzTffJD09HYATJ06QkZFR7LGqVKlSLKMMDB2zAQMG5Gm///77OXnyZJHXDx482JdV2qNHj8tilIGMMZOUQ1QvRBxUOBcra2SWlMZzjqNdiPUSXu8Fg0kLWkB+DkIXiNQ0nycrZxtTURWfBllQuOD583nMVBXh9qBckhEaFBTFmLPXiwJBKfxeEJYML+lVHFjTNZxVLIQey8acpeCJtBKZ5OHm/3uJjZ8W7jHWbSaE1exLfog44uLcNXa8oWA/A0Ix4Q0BFGjzSCJb35Jes4pGRY0xO3LkCD179uTo0aO4XC66detGeHg4s2bNwul0+lUvMyUlhQkTJrBu3bp8RWoLq3UJRpzYd999lyc7dOPGjXTs2NHv13L8+HG+//77fOfw+OOP+z2Ov0jDTFLu2PKBoRNzzczgbVFdTbQcmUjsydMXjaWcgP8coywYgfkXYr/yGF5CR7XZL25rmgPXFxNeD2pkBCIj08gGjQwFXaCYzRAaXONdUVXDCDSpoCqof/xJzyqPsPLMW0G9D8CajePp/LcXMWd6MWcoeMMtqB4d3aygm1VUr6DeWy9y+JEnCxzDcjYL3WHBVdmOZlMxOXVUTWDOUsiuCuYsyGzgBauOeq5iab1JLlBBdcxGjBhB27Zt+eWXX6hcubKv/a677vJbqPX+++/n4MGDDBo0iJiYGBSl6KzyL774wvdz7969eeqpp9i6dSvt2rUD4IcffmDp0qVMnuzfF64FCxYwZMgQrFYrlStXzjUHRVGkYVYRafW/54wiv5Jic+Dp3N/uu/Z4gXWriq/1dLXxy9xR9HxvoOH9cXtAEReEWg2DLBhbjIrlwkfHBX2xSyUtcgw/oWkoZjVgUVvFZEKvXwvTkWT0zCzjnpqGEhYKf6lm0LPZeFbunlbiewmP4SkzDDPViLAuxZJPilegaAJMYD7nRgu1oLp0PCEmQk44qb/UTPyBRDLr6iQNyxt3Jqxm1Cw3GS3CCTvuweTScVZSUD2QHatjcik4qmThzLSiR0uR5oqIogtfebq/tpdnNm7cyPfff4/VmjuDt27duhw/ftzvMTZu3Oh3pQCAPn365Gl7/fXXef3113O1PfbYYwwZMqTI8SZMmMCECRMYN24caimHN+QgY8xKGWmUBQ9plPnPyrQFhlGGEQum5nw4KiqKyUR3S9EZTYWhVo9BrRR9sbLABRSTCd3tRng9hgEYBOmMVc7/YEo6gZ6ZxaqMDwxjTAhWHJ/HiqNzff0Srn0KV80Ag6BVBaHrhrcxKgJRrVKpeMtyyJHrs5wxxDLNGW4cR1KJ2p2KmuVBdWnYUqHqz/l7Clb9NJHs2hFE7c/GWdnM+WtsZMcIQk4LQpJVwg8pWDdEUOlbOzW/Cs738E69XwzKOBL/qKhZmbqu+0ooXcoff/xBeHi4X2M0btyY7OzsYt/XnyO/ueVHVlYW995772UzykAaZpIScs0Muc1Y3snxaglNM4yjYMaXuT1gNqHYbBcNQJMptxyH0A0PVBAkOjCpqKEhdLtpqiHToedj7LndmFyBxbStyvy3IcNRKQoystg/sFJA4xWFqglc0Rb0UBuKrhuisyFWhEkBFXSLCQR47QrNx+T/f063GvIhzigF3QKWdAVLhoY9Bazpgio7sok47MaaGoRaqcC5hnKj5XKSE2OW31Ge6datW656loqikJGRwcSJE/0u0/T6668zfvx4NmzYQEpKCmlpabmOy8GgQYOKlNYINvJ/mKTYJDR6mgP7Lpa6qPfmS9ReCd99JqUtyhMr0xbQI3SAsc1oNaGG2dHTMoISkC8yMnOXYjIZRpqe7UQxW3zGoPFvEKo4XFD1Me05DA57rmzMW7tMx/rHObDZsOw/To/QAazK/HeJb6WYTKzYW/o6ZmAsjf20C9PZTDCp6DYLitvwCCpeHatXR61rxRmuYC7AcfDHLQqxm614IiAkWWBTFU63MhPyJ6BARh075iydrGomrhucyLY3A0sASG8d5IQLSeFU0BizxMREunbtStOmTXE6nfTv358DBw5QpUoVFi9e7NcYUVFRpKamcsstt+RqF0KgKIrfXq9AmDFjBnfccQcrV66kefPmeYRy58wJfrUQaZhJio2w535jxi3T0GzS+VoeUaxWVE3zGTKKxWxsN7qcAY278uzb9Ah7EEVVUStXMgqKu1y+ouNGvJnFkLkIhsdMURAuN0rlaEhNB+vF95v14J+GdIbJZJRnMgf4sRYelm9z/ZfnUHO9HtQvII5DZxE2M3qEIQiLEOgWC4qu46liQ7OqeO2GJ4wC/mTCJMiobsKeAlnVFSzpoHrAcVoDRUH1CnQTWLJEULwshx8IvvCzpGAqalZmjRo12LFjBx999BFbt25F13UGDRrEfffdh8Ph8GuM++67D6vVyqJFi/wO/g8206dPZ9WqVb5KAX8N/i8NpGEmKTYZDS6qNrcckUhopLncxztcrSihIQiPBzTdKF9kNiNcLhSzJeCgfDUs1DCGVMWoXel0+RIAjCoDGD9rGj0jBrIybUFgr8VmNQLyrRZWHJ93yQmjMgCKYhwBxoKsOPSS7+eeLZ5FOZ8BQtAIwKSSUOtxw4N34bUHInArbGZ0hw1FCIRJQdFAC7XgdZhwVjYjTOCsDJrdOPIj/JCJnbNH0XBWIo4/wRUFYX8IsqqZqLo9A2c1OyYNvn9/NK2HyhCECofIP/ifCqAN73A4GDhwIAMHDizR9bt27WL79u1Flk8qTebMmcN7773HQw89dNnuKd0ckmJx6y0z2LjM8Bg0HZ9ItZ8zcZx2Yz8TeA3G4tCzxbOX9X4VlRV/vIJaKRo1LNTYeryw5ahYgyBj4fYgsrLRT6egp2UYY14wyuAvsW2BerEUBSwWyMzKZXglxDyKCA9Fz8xCP5NibLEGWA+0+ROG8ZLQ6GkU14W4LI8RU4fX0DjDZIIg1B3VIhxooRZ0iwndakK3mHBWsaLogpA/PbjDFfY+PwpFB72A8pQ7XxpFoymJRP4OlgxANbQAK/3mJKNOiOFx0YxanObs8v8wl+Smogb/f/DBB/zvf//z/T527FiioqLo0KEDR44c8WuMtm3bcuzYsdKaol/YbDZuuummy3rPMjXMvv32W/72t79Ro0YNFEXhv//9b67zQggmTZpEjRo1cDgcdOnShd27d+fq43K5GD58OFWqVCE0NJTevXvzxx9/XMZXcXXQ7aapJFwzlm/WjgMMrazaK8+jOj14ws2Yzwe2NVYcOt71Enpo6ajZX4nsG10H7LaLxtGFb9qBbjEqNisiOxvh8RrxZPmJvV7IAlVsARa9NpnA60W4XKw49jIAzUcnGjUz0zPB6zUqHThdvhJUJWXnS6PocM9stMgQhN3Cn7fXNe4PCKcTPSMTkZ6BcBkVAhKuGVvie635/llUj47mMKN6dBRdxxWhcK6xFU+YCftZY79q33OjiP3RS+e/5Z8R6YkQnO3kRJjBfvqiFqDjtBvNoiDMCum1LaBA20HBj4mRlB6KVvBRnpk+fbpvy3Lz5s28+uqrzJo1iypVqjBqlH9xjsOHD2fEiBG8//77bN26lV9//TXX4Q+6rrN//342btzIt99+m+vwhxEjRjBv3ryiOwaRMt3KzMzMpGXLlgwcOJD/+7//y3N+1qxZzJkzh/fff59rr72WqVOn0q1bN/bt2+dLtx05ciRffvklH330EZUrV2bMmDHccccdbN26FVMwYlskgPEA6dlsPGCooddwusHjRasaQcjRdISikFBvVFDrFhaE/ZST7Fj/YhQkcGjkaBhp/JwQNxqcLkR68Uui/JUVya/RI3QAaG6EbhhguseLYrYYGaG6QLHbUMxm9PSMwIRaVRU8HhSzmYQm41ixdwaxW7IgIhxS08BsRtEF+gUvVjdT34BqdEbuOGV4xDxeYr44j8jKhmynYWQ6HOjZ2SgWC5hM6JEhJb4PQFp9B/ZzGlqIiexKJn5+d3S+/b79omCh2dqrvWxYPg7uv9hmPXASwkLwOqL58wYLugU84TqN3ipcLb0oGj2fyL7nZAWBy0YFDf4/duyYT3H/v//9L3//+9955JFHuOmmm+jSpYtfY/Tt2xeAhx9+2NemKIrfwf8//PAD/fv358iRI/y1LLi/yQNbtmxh7dq1fPXVVzRr1ixP8P+yZcv8ei3FoUwNs4SEBBISEvI9J4Rg7ty5jB8/nrvvvhswXKMxMTEsWrSIwYMHk5qayrvvvsvChQu57bbbAPjwww+pXbs2X3/9NT169Lhsr+VKJ+Gasaw8MIv4JxOpnZFt6Ej9/qJhrKmgnku/fJMR4AmVu/AlYUXSHBJqPW5sbXoDl0/IqcWpqCpC11EveOUUVUUJueDVjIpA8XrBU/L7rTg6l4Saw1lxfB63dplOQpNxmDOywONBz8i8MBkdc6VotPPnA084cLoMD6OqI9LSffFkena28dosFpTQELAE/hEafjgbT5iFDctL7nm79NqEps+wYs90n2fxhofmYEkHzQauajpH7qoS0HydNaRQ7eWkogrMhoWFkZKSQp06dVi9erXPS2a32/3WJktKSgpoDkOGDKFt27b873//o3r16iUK1o+KivLZIJeLchv8n5SUxMmTJ+nevbuvzWaz0blzZzZt2sTgwYPZunUrHo8nV58aNWoQHx/Ppk2bCjTMXC4Xrku2XS6XHkpFpWfL51h5YBYAtVafBY8HER5CQqOnwWpCyb4QaxNgMGrjSYm4Kus4aqezp8+kfPvU+/dMGthNqJ7y/aFUntk/sh7XfJCCkukKuNyQ0DRw4ytjpKhGsD9msxGTpeuIlHNGpqQpQGM60vCSW0+kGlmgmVmIrCwwmRBuN0LT0NPTDa+WNcCtU7cbXK4LlQ2MSgOo5gs1Ot3G+FYrmE3o9sDi9bJi7XgdwcvuWrFneq7fPaEKim6UZ7KeMRtxaIEQDPkTid8UFE9W3mPMunXrxj//+U9at27N/v37uf322wHYvXs39erV82uMunXrBjSHAwcO8Mknn+SplVkcFiwILGmpJJRbwyyn8ntMTEyu9piYGF/g4MmTJ7FarURHR+fpU1jl+BkzZvhdJ+tqJ6H+EyiXKLcrZ84bXgJFQVhNKC4v4nyqsa0jhM+rURJUN9hPqVgORtJ0SyIhfwpsaQLdAo7THjKrW6l3WuVMcwvOwL70X9UcfGI03ZZNRUSHoNmrBjaY0BGaUc/SFBZmyDOEhULlaMjKRqSmG0aNzQqhgW35iVNn6OF4AMVuY+W5d0io/hiKxYxwulDDwwypibQMQ70/UH0jISDEYWz7ZmkXxXNDDY02xWYzjDeviuoMzIO06eO8pZaCScRRL5pVwZypkaJacUUXfU1hHPlnwVuqkuBTUeUyXnvtNZ599lmOHTvGp59+6quXuXXrVvr163dZ5nDjjTfy+++/B2SYJSUl4fV6ueaaa3K1HzhwAIvF4reRWRzK/X7QX12POXvLhVFUn3HjxpGamuo7yjrrozyz4tBLiAijUPRN/5htNHq8KCmpKGfTIM3wUORoSOEu+UNKmI2sMsVrZKClXqOQXUnF5BLoJoWonakARB3yEvl7Of+6WM7xRFgwZXvRHMH5CFCtViMQP8Rh6IBlZRvvE5sVJbYaK5JfY8XvgZXy2ftCQ1ZlL2TluXfoGf1PTt7VkBV/zkcJC0W43IaBFhVhaLdFR9GzyiMlv5nZbBiWTpdPhkNUr4peowrowtgGVhSwWhCqSs+WzwX02kqTDV8+iSVdwxtiwpoOljRoUAqimPlx7SeyJF3ACFHwUY6Jiori1Vdf5fPPP6dnz56+9smTJzN+/PhSu++lyQHDhw9nzJgxASUPPPTQQ2zatClP+48//lhqEhrl1mMWGxsLGF6x6tWr+9pPnTrl86LFxsbidrs5d+5cLq/ZqVOn6NChQ4Fj22w2bDaZ1ecvnmgHCbFDiQDjw0BVweGATCO2J6fws8+TUEL2ThlFo+cTMWeBJR28oQJXtII7woTJbSLSpqK6hfFgLPdfKco3ljQPeHVCf0uhR9tJrPp5UonGWaMvpZv6DyP4PjoSVBOkpiNiK6N4dYSqBlRU/FKODLoYR7Xy3Dv0bPEsCQ2fhIgw48uBrkOOCK0uAtvOvFDySTEb3mElNARSUlF0HWKrgtWKs140ii4wZ3hQssq3Gv661Uad2eseTUTRjLJNl4O69/wK5dyzU96pqB4zgO+++44333yTQ4cOsXTpUmrWrMnChQuJi4vj5ptvLpV7tmrVypcgkENJkwcAtm/fnq9cRrt27Rg2bFhwJv0Xyu3jLS4ujtjYWNasWeNrc7vdbNiwwWd0tWnTBovFkqtPcnIyu3btKtQwkxQPa7KR9eYT78wJrA4Pg/AwFIehfKlERQYcDG3OAmdlQVZNw/iypoMnAlzRkBljJrW+BUWHkFNeWoxOpMVoKZhZEo70CkXYzeghNtSswPW49GwnOOwIh40Vp99g5c5prNg7I2hGWX6s/HWq4YVTDIFbIsKMck2qSnqrWJzXlHybdkXya8Z73qQa+mxuN/rZc4YsR1Q46fFVEAqo7gtPx8tY4LikdOn5AianwJoOQr089W7X6Etp8pkMGwmEYOuYvf7668TFxWG322nTpg3fffddgX2XLVtGt27dqFq1KhEREbRv355Vq1b5dZ9PP/2UHj164HA42LZtmy+uOz09nenTpxdxdclJSkri0KFDJCUl5XvknDt06JBf4ymKQnp63uS21NTUUisJVaafJhkZGezYsYMdO3YAxoLu2LGDo0ePoigKI0eOZPr06Xz22Wfs2rWLhx56iJCQEPr37w9AZGQkgwYNYsyYMXzzzTds376d+++/n+bNm/uyNCVBIDPLePgJAVERvgdw6nWxRuB1RqbhxTp1BjKz6RH2YIlvZUk3PnCMQswK2VWNWGPVA14H6BY4eaOF9NoWQv7UsZ8t3+788sr+Z0exevNzHLw3ypA6CUCLK2lmBzzd25S6IfZXbnhoDglNnzFEXy0WI+vTZkXYLWTFmDjdIsAEAKsFke0ERTEyPxUFPS0DNSObsINprF/5FF9veIbVm59jxSW1Y8srJrfOTwtGE3LaS+2vs6m6/fK4XPbeNfGy3OeKRRMFH8VkyZIljBw5kvHjx7N9+3Y6duxIQkICR48ezbf/t99+S7du3Vi+fDlbt26la9eu/O1vf2P79u1F3mvq1Km88cYbvP3227kkJjp06MC2bdv8nvP58+d55513GDduHGfPGlIv27Zt4/jx4/n2r1u3ru84cuQINWvWzNVWt25datas6bfIbceOHZkxY0YuI0zTNGbMmFFqXj9F/FXc4zKyfv16unbtmqf9wQcf5P3330cIweTJk3nzzTc5d+4cN954I6+99hrx8fG+vk6nkyeffJJFixaRnZ3Nrbfeyuuvv07t2rX9nkdaWhqRkZGkpqYSERERlNd2JZFQdYiRUeewg8lEessYwtb+ZrTpAiXEgXA6EU6XTzZhVcYHJbpX/JOJKAI8oYZopuOkQnaMQPUqeGq4sR61EnbcOB/yp0CzUqDuk8Q/2t0/B1uqxoYvSxbUnRDzqOFd0jRWnHw9yLMrnNs6TcNy+kKaYXomqCpazcp4wq04q5hxRqlsf71kmlu3dp2BUBVsvx0HtwehaYhsJ3prozzMmk0Vt/pEp94vYs7UWPtN8Ope1n1vFqpVI+n+cUEbs7xyOZ4ZOfe46bbJmM1563F5vU6+/3piseZw4403ct111zF//nxfW5MmTejTpw8zZszwa4xmzZrRt29fJkyYUGi/kJAQ9uzZQ7169QgPD+eXX36hfv36HDp0yFfYvCh+/fVXbrvtNiIjIzl8+DD79u2jfv36PPfccxw5coR///vfhV5vMplITk6mWrVqudpTUlKoVq2aXx6vPXv20KlTJ6KioujYsSNgbNGmpaWxdu3aXPZIsChTj1mXLl0QQuQ53n//fcBwIU6aNInk5GScTicbNmzIswh2u5158+aRkpJCVlYWX375ZbGMMknRrDj9BuJCUL8eGUL43rNG2RtdGNuXmmYEettthqZVABpSu14chTcEUC4e9tMKJhcoaWZUD2hWI4PTFaXgCZep+4Hyw4ejA1NAuLDF7W5am2tmlv722LVTL94js5Ydd2wE3sphiOhwRCXjAWXO9BCxL80o/l1CrHuOYtt3wog3s1lRIsKMLVMF3FFWuiTMytW/x/UVZ8vu2y+eRNGC6zFTzDqVvrXT8vFEOt0ZWKKH5CI5Omb5HWAYcJcervwqcGCEAm3dujWXvBRA9+7d8w1uzw9d10lPT6dSpUpF9q1evTq///57nvaNGzdSv359v+43evRoHnroIQ4cOIDdftE4TUhI8Eu5v6BEwJSUFEJDQ/2aQ9OmTfn111+55557OHXqFOnp6QwYMIDffvutVIwyKMfB/5LyhZ6RiSkiDHTQDx1BrR6DSDkHuoZwudGb1MN0Kg09MhT2J9Ej7MESe81UlxHY6o4EYTK8Y7pNICwCbyjYzoEtVaDohmhmm38lsvVtqUQeCIEI9mpx1VHcXiynMzjwdOl7S6ypF3/evGgMne58kcwYM4rmIPSUBppgw/KxtHkkEdt5QavhieyYV/z3x4o/55PQ6Gm0yBBM6dlw9jzC48W09wghIQ4IDaFn8/HGFmeIFXdlO10SZrF+Rcm3hUuD7u2moKa7ULJdiJSzrEx9j869ZkGoma49XmDdqqeCcp/DA57m+nVzqHTYE7RsXwlFKv//1RExceJEJk2alKf7mTNn0DQtXwmqwuSlLmX27NlkZmZyzz33FNl38ODBjBgxgvfeew9FUThx4gSbN2/miSeeKNLblsNPP/3Em2++mae9Zs2ahc45RxBWURQeeuihXMl+mqbx66+/FhqH/uuvvxIfH496IXa0Ro0ahcbF7d69m0aNGmEOtCbwBeT/HolfqGGh4HKjpqSiu92IlHMIXUekpiPq1mD1DxMMQVHVyGRTLCV3VdjSQHNA5O8K6GBygepRCE0yYc4yjDHNqhgBsBrYUitAelI5pP4rhvxJ20FzsKd46dLzhRKNs3rzc2TVCWflzssTX7brxVF06fkCbf6VyM13v0To3jNsfWsU9vM6GdXNpNe20GpYIiGnvIQfcZbIKMtBDze+pQurGU+jWqgOO3pGJtqfp9CPHEM5mYKSlsnqHyZgS3Hiii65t7hn5MNGhqufJDTxzwhe/cMEFI8XvF5fpqpy4WFvzgiuiv9PC0bjjjDhCZGPlmChaKLAA4zSR5fKP40bV/j7oiQSVACLFy9m0qRJLFmyJM/WYH6MHTuWPn360LVrVzIyMujUqRP//Oc/GTx4sN/ZjHa7PV8B+H379lG1asHJPZGRkURGRiKEIDw83Pd7ZGQksbGxPPLII3z44YcFXt+6dWtSUlL8miNA+/btC4zTKwnSYybxCyUs1KivWCWKNUeX0sPxAGqlKFBVVm6/sIXjdqOe03xpyj0jH2Zl6nvFvpfqEThOK6gegepQMGUYwf+WDPCGgMltGGdb3x7NjQ8YekwtRify6xzpNfOXVsMSiT0FN294iVC3wBui4g3gYfrdZ08UeK5+4hwOjQpeHGDPVhNYv2NKHpkPRYetb42i1bBEdrwanPeCbrdg3mfoHJr2paNER0FWFmpYGEp4GHrlSITFRPv+s9GahuO1KzQfk8jO2cW/v3B7UK1Wetjv8xWcL8zrvGKvfzFBPUIHINxu1JAQlBjjYWY/kY5QVbRwK906TA04Xq7z7bNQPQJnFTMmHTYvLl3R3KsJRQiUfELBc9oiIiL8ijGrUqUKJpMpj6fpUgmqgliyZAmDBg1i6dKlfiXWaZrGxo0bGTNmDOPHj2fPnj3ouk7Tpk0JCwsr8voc7rzzTqZMmcLHH38MGEbl0aNHefrpp/Otr53DggULfKFR8+bN89XW9hchBM899xwhIf6JYrvdgWe2X4o0zCT+oevo19RBdXno2fI5lFCHUW6nUgQ9W01g5Y4pxsNEF0Z5HF0YhaxLwM/vjOa6RxMRioJQ8dX5Q4HQE2ByG4KzbQfN4eeFo7n1lhmoWmBlca42Io56MWdqmFwa6AJ3lBWLKB3PYzCNMgDF7SWh6hBWnX4DgIRrn8JbNRylio0e109mx09GFmCT5xLZ+7xhIN38fy+x8dOCjceCUHfsR1xIaNE9XkhLx1S3NlrVCBCC1T9M4Ka/v8TmRUEwRISOyKl/6HKhmEz0jBjIyrSSlYTJCSfQs7NRrVaE14siBJ3/9iKOCw97T5gF29mig7CL4lQbC1V2apxvoPrWXBIkdEO7Md/2YmC1WmnTpg1r1qzhrrvu8rWvWbOGO++8s8DrFi9ezMMPP8zixYt9ZZWKwmQy0aNHD/bu3UulSpVo27Ztseaaw0svvUSvXr2oVq0a2dnZdO7cmZMnT9K+fXumTSvcQy+EYNGiRYwfP77YhlmnTp3Yt2+f3/3bt2+Pw+Eo1j0KQxpmEv9QFEwnzoDFbBTCvvYpY+tSUdCtxttoxe8vklB7BIrDgaLrAZXFqfxrJrrVREYtG6omMHkUVK/hTXNFqtjSdEwuQfv+s9m8dhyd/yaDjYuDyaWDauhZoSpYU90omk5C3GhWJBVfFb57++dZvblg9ft6/57J4QG5MwA7/+3FkmWCuj0QZnyT7XbTVNbsf4FuN03l289zj5VjILTvN5vNJTDKwPBY9bDfB4oKQjeMHJcbNdvDyh1T6Nr9BSwqdLhnNvZzHtauKXmW4yrnf+hu7e/7fyN0o/D7Ld1mYt2yH+H2oLsMI0oxmVjt+SjfcXo4HjDKUrnddLfci2q1orvdKGYL+omT2P9IRompgsjIxKFVRQ8NXGzbnAmuSJWwP6R8TbAJZq3M0aNH88ADD9C2bVvat2/PW2+9xdGjRxkyZAhgVMU5fvy4L9tx8eLFDBgwgJdffpl27dr5vG0Oh4PIyMhC79W8eXMOHTpEXFxc8Sd6gYiICDZu3MjatWvZtm0buq5z3XXX+eW1U1WVa665hpSUlDzllIpi/fr1JZxxcJCBABK/WHHsZfaPrsfvg41A0xX7X2DFnul4o0PQwi7xVoWHokRFoISFooaHlVgfS83yYM5wY0vTUN0CW6phiHlCFMzZhsdMsyo+T0VJpR6uVtategrVpaHZzbgq21BdXhSvzoGhtUo0nm7J/6Mk7j8z6NLzBRq8L7i168Wtt+sHzkGzlCwV1FstkuxGMXTt/gJpDUK46e8vseb7Z3NlSd56y8V7BbqtplarilopCsVswVy5Mt7jJyDpDxJih2LfewJVE2z6eAyp9Wx06fkC3dtNoWuPksXrKVYLismEarehqAqmyAgsG3f7jDJzjepG3U6zhR6OB+gR9qBhOP51HJMJFBXFZELoAtVmRw0LNap0hDpwNYjBE18PPczO6h8m5PrbFIcbH5hj/C0dsOX90fy0wPCOxr06u0TjSfJSVIxZcejbty9z585lypQptGrVim+//Zbly5f7ioUnJyfnipV688038Xq9PPbYY1SvXt13jBgxosh7TZs2jSeeeIKvvvqK5OTkPNmjReH1ejGbzezatYtbbrmFJ554grFjxxZLo3TWrFk8+eST7Nq1y+9rygPSYybxG/sphcz6XsDwQoSecCEUMJ9zGplfmS4wqxAZhuL2GoK0zpKVqvFG2XFFW1B0gW5RDIPMBaoGWz4wPvxvHHB56v1dqeg2E8KkYE31oJ46D1YLDT/UoAQ27tff5q59FzdvNnFfeKgebWX9yryG0U8LjPjAkmQxrtn0LDcOmENqfYXfJl3cNrt0HGeli18W2vebjSVLxxltYsv7JdhWDQvBVT0CV/u6hK/eDYCWno7qcoHZjHVrFglVh1ClVgyrtgcmmZFyb0uqfn8a8ecZ1Fo1EClnUew2RHY2ismE9ucpw9jyGkH7ijD54tF8XPCWKRYzitWKyMgwCs2npyN0gXYu1ZABCQ+FzGwSYoditZfMa2Y/r+GMNmE9n7s9aZiMMQsaBdXFLKEE6dChQxk6dGi+53KkqnIIxHOUUx+zd+/euZIL/C2HZDabqVu3bkDq+vfffz9ZWVm0bNkSq9WaZ7sxR7C2vCENM4nfVNnpodJvCjyS2wvRo/VE1Cw3ruoRKJrAeiYTb3QIqltD9Xjp3m6KkbVZDDwRZk63NrHvuVG0Gp6INf1CiaY0neajE8mI00n6t/zwLyn1F0+nlsOCJ1TFmqFgiq2E6vKghdvpfsMUVm8p3t/rUrp2f4FGJ9PxVA5l08e5/0aNnk+k+vdu1q98CpNLlDiL8cd/F25gnWlpovkTiex8aVSu92r7frOL7UE72aUq218fRTf1H1z6iNDdbnC7ISsLU1gYmNWA1+7nd/K+rp6V/oUaFYlwudHS0lFsRiynYjKhWMwIXaeH4wFWZS8EMIwxtxu1Tk3waigej6FDqKioVsOo8yb/CcmgqBcfmN2t/VntXlSs+aouHc1qQuTzJOnU+0W+/UJ6sgPlUs2yv7aXZ9atWxfwGM8++yzjxo3jww8/9Es77a/MnTs34DmUBdIwk/jNhv+NNfSPLiGh0dPoVcNRM91YU7IMT5mioFtNaHYzqsOMMBd/xzy7kmGUARdEZY0HiD1FZ+ecJ2g+RtbIDIRD/Z6h4dFEQpPBWUklvVMYei0n4owNR+10GiyZxsG+44se6C90vn0WmBU8lUL4Zt3FtP16779A9VVm9l1iFLkjFML+CK5cQ4svJ2D/JIp9F7yqnf/2IuZML4om0GwmbKbib5/GfHeGnq0KN7aU2GqGJ0C/mEDhS4oJFFXJVVGhZ+TDrHJfzNbsEfYgXJK4IZwudLcb9cw5Y26qigBWuxf54uUUE75YtpztzkuNNH9Zt/opbus0jbPN8mav5RhlN9/9EhuXGTF+zT6fxO47JxX7Plc1egHll8q5Yda5c+eAx3jllVf4/fffqVGjBnXr1s0jCltUaacHHyx5ecCypExLMpUXZEmmktO9/fMoTi+rtk+mW4epKLqOJ9KGJc2NblHRHGaO9LSUKDPvhgfnsOWD0QVKYTQbl8juGTIDrLzQtccLKLogK8bKDx9e/Hu3HppIVqxRoN6SCdY0gSdMwZwlcEcqhJ7Q83jWikuTzyYT+r9wMmoq2FLBkiGwZAnCD2ViSnOih1jxhln5Zv0zJb7HjQPmELl4C4rNhhoagtA0FLsdrFbDMHJ7wGt8MRFuD9SsFnRtt4TaRmyPfu680aDprMpeSM+IgYWWQutm6gtciD0Tui/+DFVBeLy+foqqsMr5n+LNqck4PFXD+POGEHa+lPf/4y23zgxq6afywOUsyXRL66cxm/IpyaQ5Wbt9Zrl+bp07d453332XvXv3oigKTZo0YeDAgX57vyZPLjw0YOJE/+uwZmdn4/Hk/iJYXtdNGmZIw6w43NZ5Ol9vuPhw63H9ZLJqhoCioHqNt5LiFXhCVTxhKl67gi1VxxWlsm1+8YyoGx6a44sJqrdgFocHli9FdUlucgzzfY/YOfLwWK4bkohy5xlca6vgqgQHxo2iwz2zUb0CT5iKJ0QhqzpEHhQ4TnlYv7J4CvTNRyeCCumNvMR8ayLyQAZZNUPwhKqYnAJVE4ScyEaYDI+t+ffjYLex4nDJvK09qzyCUikacToFJTIcvUok6vlM46TFbBRRz4mpVFWwWcHjKfH9CiKh+mOsSH6tRNd2M/U1PGMXskwvJaeUWrENs/pPIEJtl01guDxwWQ2zlk9hNuWNAfRqLtb+8kK5fW5t2LCB3r17ExkZ6ZPL2Lp1K+fPn+eLL74IiketKDIzM3nqqaf4+OOP8xWMDSR+rTSRhhnSMCsut3SbSWZ1K5YM3ZBbuKA35rUb/yq6UUoJQLMobHtTerUqIrd0m1ls+Ydbu85AmBWsJ9LJahBFVlUTliyBZjWyaS0ZGoowAvVvHDCHjOqGh8uRovP90sC8Zjf9/SVsqV7M6W7cUTayq1owOwXWNC+mbC+Ww6dxXROLZlPZsLz4Rn7CNWNB0xFpaaALVp59m4SawyE0hBX7S5aFeSXQs+VzCFXFG2XPtX19JXNZDbPmhRhmO8uvYRYfH0+HDh2YP38+pgtGv6ZpDB06lO+///6yZEo+9thjrFu3jilTpjBgwABee+01jh8/zptvvsnMmTO57768Gc3lAWmYcfUaZgnfjsDpNbPuFv9T22+5dSaoRtabZlVwRSo4zupoVgWTW6BZFLx2Bd0KugWpxl9Bue7RRCyZAkuG7osPKtE4QxJxh0P0AS9eh+FBVYShR+eMVrGlCjJjFRwpgp/eK952d4d7ZmNP8YAK7ggzrgiVnxaMpmOfFzFn6ShCIFQFxWuIqZoyPGghZqzHz4OqsmLfzBK/rvJCj9ABrMr8d5nOoSTJPRWdy2mY3drsyQINs292v1hun1sOh4MdO3bQqFGjXO379u2jVatWZGdnFzmGqqqFlosqyuNVp04d/v3vf9OlSxciIiLYtm0bDRs2ZOHChSxevJjly5f792IuMzL4/yomyprN4k5v0fyLiezs7V+a/9pvnuba6YmYMyD8D4EiIKO6imYDRTcMsr1TpDFWEan73iyqbLagWw1ZEgRo9uIFhLfvPxuvXcFZSTHeE9FG8kZmjBmzU2ByG8XnFQ3CkjUUHZxuE+7w4geemzwCb5gJc5aGUBWs6bpRGghD+ym9jpXKW8+iRTh8OmuqR8dbNQLz6aJ1lMo7PSMfLnOjDLjqjLLLTpDlMi4X1113HXv37s1jmO3du5dWrVr5NcZnn32W63ePx8P27dv54IMPiow/A0MOI0fgNiIiwiePcfPNN/Poo4/6NYeyQHrMuPo8ZvFPJtL8//ayuN1b3PT3l/j+k+J5ROKfTESYwRMKWojAnKkYW5cXioprdvh9rDTOKjINPprOwXufod7bLxK9w8z21/z/ezZ/IhFrmmEceUMUVDeYXQL7WY0/25qxnzUK02fUAmuqUftU8YLZKTBnC374j/9bmh36zsaSoWE95zZ02cwKmt2EyamheAWWlEx0uxVhVhFmBW+ohfMNLZhc4A6DndKjKykBl9Vj1mhMwR6zfbPL7XNryZIljB07luHDh9OuXTsAfvjhB1577TVmzpxJkyZNfH1btGhRrLEXLVrEkiVL+Pzzzwvt16JFC+bNm0fnzp3p3r07LVq04KWXXuKVV15h1qxZ/PHHH8V/YZcBaZhx9RlmAP+3aSifdni96I750HJEIl47eCLBdha8DqM8iNcB3lDBoZHBrY0oqVjc8NAcMmoqhB819JfEBRkGr11Bs4PpQmlGRRcIk4I7DGxpwjDsBWRXVtj1on8GU/t+s7Gd8xrbo24dr8OEqhljqV4dr90EJgVzphfdrOKsbMYZraLosO0NaZRJSsblNMxuu3Z0gYbZ1/vnlNvnlqoWLpOkKIrfYrN/5eDBg7Ro0YLMzMxC+yUmJmIymXj88cdZt24dt99+O5qm4fV6mTNnjl8VDMoCuZV5lXHNzEQOPD2qxEYZwC8vj6Lps4nsf+big63lyERM2RB2rGRldkqDuA9nkHT/1RGMHCxafvUcpq8q4UjRCT2WiZru4ky7yvz8bjGMbQG2c5AVo6B6FcxZhjcMBazpFzJ3LyQEek2GUWbJFOhmhR8XGjFi/mJNNZIJFK9As6l4Qy9sbZoU0qtZfIKtbQfNASV/AVfJlUX9RdM51L/ksijlDk0H9ALayy9JSUmlMm52djbz5s2jVq2iy8eNGnXxGdW1a1d+++03fv75Zxo0aEDLli1LZX7BQHrMuDo8ZkO2PsDK3c3yFJKWXL00mZCI/Qxsf/3ih1eL0YmEH9MxuXQ8oSrmbB3VLYqVxdjmkUSEyQjw101GsL/ZKVC9AtUtcEWpCEXBHW70V70XYtoAr81IGnFHGfIa/nDT31/CcdqdS8ZFIilNLqvHrP6Igj1mh16+op9b0dHReco5paenExISwocffkjv3r3LcHalh/SYXQWM//Vuvl/UkcOz5daNBNqsGM/53ZUJu+EcGbsq0XjZFH672wjg/nXOKFoNS8SWqmByCb77b/FL6mx9axStH0tE0cAbDrZUgSvSkMVQNOMQFkA1tjVdlSD0hOExs6UKNLuCueiELR/FjZGUSCoUQgc9H++YKN8eM4CFCxfyxhtvkJSUxObNm6lbty5z584lLi6OO++8s8jrExMTcxlmqqpStWpVbrzxRqKjowu8rlevXixevJjIyEjAKKj+2GOPERUVBUBKSgodO3Zkz549gb3AUkIaZlc49RdP51C/ZUzzXxFDcoWzNWEaJED9l+egR2voh8MAaDBnDiENU3HHRKEIhe2vlXzbz99kgWbjEjE5IbuKYbjZUnVEhoI7TKHRlET2TSh6nO7tpuANtV5x6vISCXCh9FLFK8k0f/58JkyYwMiRI5k2bZovjiwqKoq5c+f6ZZjdcsst1K5dO1/JjKNHj1KnTp18r1u1ahUul8v3+wsvvEC/fv18hpnX62Xfvn0leFWXh+IXMZSUe5p9Psn386F+cntHkj+HRozm8OAnODh6NHduHEbIcQX3L1Eg/DesCqPl44Ur3l+zdCq282A/Kwg5ZWRkusNVNi0Zg25RiDjs34Nn9Q8TpFEmuXLRtYKPcsy8efN4++23GT9+vE9gFqBt27bs3LnTrzHi4uI4ffp0nvaUlBSfDEZ+/DVCq6JFbEmP2RWILBIsKQ713ngJc2oDvI28hP1uRg1SXfGsGtB4ciKa9WK8WJtHEtn6lvHzgX88y3Whz/Jzr6kAxI81YtMaT0zEEgZOm8J1QxLR7JBeT2b7Sq5SKqjHLCkpidatW+dpt9lsRWZT5lCQQZWRkYHdnrd+6JWCNMwkkqucw0OMGK2b1jzFn+djg6ZBd+BpY5wbB8yh/eqn2dx9ps8oy2HbBaOs6X8n4a4agfWcQshJ2PbmKOLHJqJbQDcbOmctRybyy1wZJym5ytAF+WZllnPDLC4ujh07dlC3bt1c7StWrKBp06aFXjt6tPElTFEUJkyYQEhIiO+cpmn8+OOPhYrUKoqSZ/uzsAoC5Q1pmJUTGn48ld/vebaspyG5ivm+2wvQzb++Q7Y+wBttFvrV1+QSZH4VQ+PvE6l7yxFWdZ6bp8+ePpMAQ9h2z73G9nuVHsdZf+tLtLt/Djtfkt4yyVVKBVX+f/LJJ3nsscdwOp0IIdiyZQuLFy9mxowZvPPOO4Veu337dsDwmO3cuROr1eo7Z7VaadmyJU88UXDSjxCChx56CJvNyGZ1Op0MGTKE0NBQgFzxZ+URaZiVE6RRJqlI+GuUAWxaUrCSf4M5c7h2dhIrjs8D4OC9F2Miq4caZZOqDi4dPSTJ1cMND85hywf+G/f15r/E4UfLSbavpoHIJ56snMeYDRw4EK/Xy9ixY8nKyqJ///7UrFmTl19+mXvvvbfQa9etW+cb4+WXXy62HMiDDz6Y6/f7778/T58BAwYUa8zLidQx4+rQMZOUHTc8NIct70uPT3H523fD+bLjvLKehkSSh8uqY1blYcyqNc95r+7m6zPvVYjn1pkzZ9B1nWrVqgFw/PhxatasWexx0tLSWLt2LY0bN6Zx48bBnma5QWZlSiSlTFkZZZ16+6+gXx6RRplEAkLTCjwqClWqVKFatWqcPHmS4cOH07BhQ7+uu+eee3j11VcBQ/G/bdu23HPPPTRv3pxPP/20NKdcpkjDTCK5zHRJmBXwGNcPnEPX7i8U2ufbL56k5cjCJSvKE20eqThzlUguG0IYgf5/PcrpZtf58+e57777qFq1KjVq1OCVV15B13UmTJhA/fr1+eGHH3jvvff8Guvbb7+lY8eOAHz22WcIITh//jyvvPIKU6dOLc2XUabIrUzkVqZEIpFI/OdybmXeGn4fZiWfrUzh5pv0/5S759bQoUP58ssv6du3LytXrmTv3r306NEDp9PJxIkT6dy5s99jORwO9u/fT+3atRkwYAA1atRg5syZHD16lKZNm5KRkVGKr6TskB4ziUQikUjKKRVtK/N///sfCxYs4KWXXuKLL75ACMG1117L2rVri2WUAdSuXZvNmzeTmZnJypUr6d69OwDnzp27onXMrhjD7PXXXycuLg673U6bNm347rvvynpKEomkghL3qqxhJikn5Mhl5HeUQ06cOOHTKatfvz52u51//vOfJRpr5MiR3HfffdSqVYsaNWrQpUsXwNjibN68ebCmXO64IgyzJUuWMHLkSMaPH8/27dvp2LEjCQkJHD16tKynJpFIKiBJwwqW+JBILiuabkhm5DnKZxFzXdexWCy+300mk08/rLgMHTqUzZs3895777Fx40ZU1TBZ6tevL2PMyjs33ngj1113HfPnz/e1NWnShD59+jBjxowir5cxZhKJRCLxl8sZY9bV/HfMiiXPea/wsM77Sbl7bqmqSkJCgk/c9csvv+SWW27JY5wtW7asLKZXIajwArNut5utW7fy9NO5ixh3796dTZs2ldGsJBKJRCIJHKFpCCXv5pbIT3S2HOCPuGthjB49mueff57Q0FBfaaaCmDNnTrHnVxGo8IbZmTNn0DSNmJiYXO0xMTGcPHky32tcLleukgypqamA8Q1FIpFIJJLCyHlWXI4NJ69wgci7benFU+r3LgkLFiwI6Prt27fj8Xh8PxdERap9WVwqvGGWw1//SEKIAv9wM2bMYPLkyXnaa9euXSpzk0gkEsmVR3p6OpGRkaUyttVqJTY2lo0nlxfYJzY2NlcdySuBnHJMf/35aqLCG2ZVqlTBZDLl8Y6dOnUqjxcth3HjxuVykZ4/f566dety9OjRUvtPdjWQlpZG7dq1OXbsWLmKeaiIyLUMDnIdg4Ncx9wIIUhPT6dGjRqldg+73U5SUhJut7vAPlar9YqWjbiUP/74A0VRSlTKqaJR4Q0zq9VKmzZtWLNmDXfddZevfc2aNdx55535XmOz2XyBiZcSGRkpP3SCQEREhFzHICHXMjjIdQwOch0vcjm+xNvt9qvG8MoPXdeZOnUqs2fP9onJhoeHM2bMGMaPH+/L0rzSqPCGGRjBgg888ABt27alffv2vPXWWxw9epQhQ4aU9dQkEolEIpGUgPHjx/Puu+8yc+ZMbrrpJoQQfP/990yaNAmn08m0adPKeoqlwhVhmPXt25eUlBSmTJlCcnIy8fHxLF++nLp165b11CQSiUQikZSADz74gHfeeYfevXv72lq2bEnNmjUZOnSoNMzKO0OHDmXo0KElutZmszFx4sR8tzcl/iPXMXjItQwOch2Dg1xHSVlw9uxZGjdunKe9cePGnD17tgxmdHm4IgRmJRKJRCKRXFnceOON3Hjjjbzyyiu52ocPH85PP/3EDz/8UEYzK12kYSaRSCQSiaTcsWHDBm6//Xbq1KlD+/btURSFTZs2cezYMZYvX07Hjh3LeoqlgjTMJBKJRCKRlEtOnDjBa6+9xm+//YYQgqZNmzJ06NBSlSopa6RhJpFIJBKJRFJOuGKC/yUSiUQikVxZOJ1Ofv31V06dOoWu5y5NdWm25pXElanOVkxef/114uLisNvttGnThu+++66sp1RumDFjBtdffz3h4eFUq1aNPn36sG/fvlx9hBBMmjSJGjVq4HA46NKlC7t3787Vx+VyMXz4cKpUqUJoaCi9e/fmjz/+uJwvpVwxY8YMFEVh5MiRvja5jv5z/Phx7r//fipXrkxISAitWrVi69atvvNyLYvG6/Xy7LPPEhcXh8PhoH79+kyZMiXXw0+uo6QsWblyJXXq1KFdu3b07t2bPn36+I5LBeWvOMRVzkcffSQsFot4++23xZ49e8SIESNEaGioOHLkSFlPrVzQo0cPsWDBArFr1y6xY8cOcfvtt4s6deqIjIwMX5+ZM2eK8PBw8emnn4qdO3eKvn37iurVq4u0tDRfnyFDhoiaNWuKNWvWiG3btomuXbuKli1bCq/XWxYvq0zZsmWLqFevnmjRooUYMWKEr12uo3+cPXtW1K1bVzz00EPixx9/FElJSeLrr78Wv//+u6+PXMuimTp1qqhcubL46quvRFJSkli6dKkICwsTc+fO9fWR6ygpSxo0aCCGDh0qTp48WdZTuaxc9YbZDTfcIIYMGZKrrXHjxuLpp58uoxmVb06dOiUAsWHDBiGEELqui9jYWDFz5kxfH6fTKSIjI8Ubb7whhBDi/PnzwmKxiI8++sjX5/jx40JVVbFy5crL+wLKmPT0dHHNNdeINWvWiM6dO/sMM7mO/vPUU0+Jm2++ucDzci394/bbbxcPP/xwrra7775b3H///UIIuY6Ssic8PDzXF66rhat6K9PtdrN161a6d++eq7179+5s2rSpjGZVvklNTQWgUqVKACQlJXHy5Mlca2iz2ejcubNvDbdu3YrH48nVp0aNGsTHx1916/zYY49x++23c9ttt+Vql+voP1988QVt27blH//4B9WqVaN169a8/fbbvvNyLf3j5ptv5ptvvmH//v0A/PLLL2zcuJFevXoBch0lZc/f//531q9fX9bTuOxc1cH/Z86cQdM0YmJicrXHxMRw8uTJMppV+UUIwejRo7n55puJj48H8K1Tfmt45MgRXx+r1Up0dHSePlfTOn/00Uds27aNn376Kc85uY7+c+jQIebPn8/o0aN55pln2LJlC48//jg2m40BAwbItfSTp556itTUVBo3bozJZELTNKZNm0a/fv0A+Z6UlD2vvvoq//jHP/juu+9o3rw5Fosl1/nHH3+8jGZWulzVhlkOiqLk+l0IkadNAsOGDePXX39l48aNec6VZA2vpnU+duwYI0aMYPXq1djt9gL7yXUsGl3Xadu2LdOnTwegdevW7N69m/nz5zNgwABfP7mWhbNkyRI+/PBDFi1aRLNmzdixYwcjR46kRo0aPPjgg75+ch0lZcWiRYtYtWoVDoeD9evX53pPKYpyxRpmV/VWZpUqVTCZTHm+2Z06dSrPt8SrneHDh/PFF1+wbt06atWq5WuPjY0FKHQNY2NjcbvdnDt3rsA+Vzpbt27l1KlTtGnTBrPZjNlsZsOGDbzyyiuYzWbfOsh1LJrq1avTtGnTXG1NmjTh6NGjgHxP+suTTz7J008/zb333kvz5s154IEHGDVqFDNmzADkOkrKnmeffZYpU6aQmprK4cOHSUpK8h2HDh0q6+mVGle1YWa1WmnTpg1r1qzJ1b5mzRo6dOhQRrMqXwghGDZsGMuWLWPt2rXExcXlOh8XF0dsbGyuNXS73WzYsMG3hm3atMFiseTqk5yczK5du66adb711lvZuXMnO3bs8B1t27blvvvuY8eOHdSvX1+uo5/cdNNNeSRb9u/fT926dQH5nvSXrKwsVDX3I8BkMvnkMuQ6Ssoat9tN375987xPr3jKKOmg3JAjl/Huu++KPXv2iJEjR4rQ0FBx+PDhsp5aueDRRx8VkZGRYv369SI5Odl3ZGVl+frMnDlTREZGimXLlomdO3eKfv365ZtSX6tWLfH111+Lbdu2iVtuueWqT6m/NCtTCLmO/rJlyxZhNpvFtGnTxIEDB8R//vMfERISIj788ENfH7mWRfPggw+KmjVr+uQyli1bJqpUqSLGjh3r6yPXUVKWjBw5UkybNq2sp3HZueoNMyGEeO2110TdunWF1WoV1113nU8KQiIEkO+xYMECXx9d18XEiRNFbGyssNlsolOnTmLnzp25xsnOzhbDhg0TlSpVEg6HQ9xxxx3i6NGjl/nVlC/+apjJdfSfL7/8UsTHxwubzSYaN24s3nrrrVzn5VoWTVpamhgxYoSoU6eOsNvton79+mL8+PHC5XL5+sh1lJQlw4cPF5GRkaJTp05i2LBhYtSoUbmOKxVZK1MikUgkEkm5o2vXrgWeUxSFtWvXXsbZXD6kYSaRSCQSiURSTrjKIuokEolEIpFIyi/SMJNIJBKJRCIpJ0jDTCKRSCQSiaScIA0ziUQikUgkknKCNMwkEolEIpFIygnSMJNIJBKJRCIpJ0jDTCKRSCQSiaScIA0ziUQikUgkknKCNMwkEolEIpFIygnSMJNIJLk4ffo0sbGxTJ8+3df2448/YrVaWb16dRnOTCKRSK58ZEkmiUSSh+XLl9OnTx82bdpE48aNad26Nbfffjtz584t66lJJBLJFY00zCQSSb489thjfP3111x//fX88ssv/PTTT9jt9rKelkQikVzRSMNMIpHkS3Z2NvHx8Rw7doyff/6ZFi1alPWUJBKJ5IpHxphJJJJ8OXToECdOnEDXdY4cOVLW05FIJJKrAukxk0gkeXC73dxwww20atWKxo0bM2fOHHbu3ElMTExZT00ikUiuaKRhJpFI8vDkk0/yySef8MsvvxAWFkbXrl0JDw/nq6++KuupSSQSyRWN3MqUSCS5WL9+PXPnzmXhwoVERESgqioLFy5k48aNzJ8/v6ynJ5FIJFc00mMmkUgkEolEUk6QHjOJRCKRSCSScoI0zCQSiUQikUjKCdIwk0gkEolEIiknSMNMIpFIJBKJpJwgDTOJRCKRSCSScoI0zCQSiUQikUjKCdIwk0gkEolEIiknSMNMIpFIJBKJpJwgDTOJRCKRSCSScoI0zCQSiUQikUjKCdIwk0gkEolEIiknSMNMIpFIJBKJpJzw/8DXUshcvxsYAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(2, 1)\n", + "gds.latitude.plot(ax=ax[0]);\n", + "gds.soil_moisture.plot(ax=ax[1])" + ] + }, + { + "cell_type": "markdown", + "id": "43d5222c-82ba-4c58-83b5-0b13c1919ec2", + "metadata": {}, + "source": [ + "Neither the plot of latitude nor the minimum and maximum values look as we would expect. We expect latitude to be in the range of -90 to +90. The maximum is actually in this range but the minimum is -9999., which is suspiciously like a `_FillData` or missing data value. We would also expect the image to show a smooth field that only varies in the vertical direction, e.g. from -90. to 90. or some similar range. Instead it shows a set of lozenges.\n", + "\n", + "Let's set the `_FillValue` attribute for latitude to `-9999`. In `xarray`, we have to use `where` to apply a mask everywhere a condition is not `True`. Here we set the condition to be _not equal to -9999._ To save time and errors later, we also set the `encoding` entry for `fillvalue` to -9999.\n", + "\n", + "
\n", + "`encoding` is a dictionary of parameters that defines how data are \"encoded\" in the file. It includes information about how data are compressed, chunked, the _FillValue, and data type. Saving the `encoding` is not strictly necessary unless you want to write the data to a new file. We'll follow these steps here to demonstrate how to preserve the encoding data. \n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "c65618de-eb3d-4f07-804c-81f0199a3ed4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'zlib': True, 'szip': False, 'zstd': False, 'bzip2': False, 'blosc': False, 'shuffle': False, 'complevel': 2, 'fletcher32': False, 'contiguous': False, 'chunksizes': (1, 964), 'source': '/home/apbarret/src/NSIDC-Data-Cookbook/nsidc-data-cookbook/tutorials/smap_data/SMAP_L3_SM_P_20170319_R18290_001.h5', 'original_shape': (406, 964), 'dtype': dtype('float32')}\n" + ] + } + ], + "source": [ + "print(gds.latitude.encoding)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "efc06b5a-fe82-4732-8753-f589485bb3f5", + "metadata": {}, + "outputs": [], + "source": [ + "fillvalue = -9999.\n", + "\n", + "# `where` does not preserve encoding, so we have to copy first\n", + "encoding = gds.latitude.encoding\n", + "# Apply fillvalue mask\n", + "gds['latitude'] = gds.latitude.where(gds.latitude != fillvalue)\n", + "# we copy the encoding back to DataArray\n", + "gds.latitude.encoding = encoding\n", + "# ...and update encoding to include fillvalue\n", + "gds.latitude.encoding['fillvalue'] = fillvalue" + ] + }, + { + "cell_type": "markdown", + "id": "511b2d12-c6ce-4fc4-b924-d5b3e4b13cf9", + "metadata": {}, + "source": [ + "Now when we check the range of the latitude values, we see that the range is between -83.63... and 83.63... as we expect." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "ec868a8e-bf13-4967-bde6-02cc2b07738e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "array(-83.63197327) \n", + "array(83.63197327)\n" + ] + } + ], + "source": [ + "print(gds.latitude.min(), gds.latitude.max())" + ] + }, + { + "cell_type": "markdown", + "id": "5acf9bca-d60d-4d34-9618-7d33e7236772", + "metadata": {}, + "source": [ + "Plotting the data again, we see that latitude values are within the expected range but that hasn't solved the missing data problem." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "c7d6df08-b03f-465a-bb21-d6a68665fde2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(2, 1)\n", + "gds.latitude.plot(ax=ax[0]);\n", + "gds.soil_moisture.plot(ax=ax[1])" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "efc6edf9-0555-4256-86c7-c6527c9746c7", + "metadata": {}, + "source": [ + "#### Adding coordinates\n", + "\n", + "There are no useful coordinate values. If we plotted `longitude` we would see the same problem, and beside we need both latitude and longitude. As noted above, the files do not include complete information about the coordinate reference system or the grid definition. So we need to do some data sleuthing.\n", + "\n", + "Tables 4 and 5 in the [User Guide](https://nsidc.org/sites/default/files/spl3smp-v008-userguide.pdf) provide geospatial information. Further information on EASE Grids can be found on [A Guide to EASE Grids page](https://nsidc.org/data/user-resources/help-center/guide-ease-grids).\n", + "\n", + "
\n", + "Note: The ATBD for the L3 SMP data gives the data array dimensions as 406 x 963.\n", + "
\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "3d642bf9-c8fb-431d-8467-7720a3378081", + "metadata": {}, + "source": [ + "The CRS and grid definition are independent. The CRS defines how projected coordinates, usually in meters, relate to geographic latitude and longitude. The grid definition relates how image coordinates (columns and rows) map to the projected coordinates. The Guide to EASE Grids has 8 grid definitions, ranging from 1 km to 36 km cell sizes, for the Global EASE-Grid 2.0 CRS (EPSG:9633). We could define many more grid definitions. For more information on CRS, map projections and grids see [_Link to be added_]().\n", + "\n", + "In the [table](https://nsidc.org/data/user-resources/help-center/guide-ease-grids#anchor-10) for the 36 km Global EASE-Grid 2.0 we are given the height and width of each grid cell, and the x and y coordinates of the upper-left corner of the upper-left grid cell. We can see that the 36 km grid cell size is not exact. In fact the value the table gives is not exact. The actual value runs to 9 decimal places. This is because the grid cell height and width of the global grid were defined so that an exact number of cells span the equator {@brodzik_ease}. This is not necessary for polar grids.\n", + "\n", + "
\n", + "Tip: Exact definitions of CRS, projection and grid parameters can be found in the Grid Parameter Definition (gpd) files in the [`mapxmaps` GitHub repository](https://github.com/nsidc/mapxmaps). These gpd files have a somewhat esoteric format, so might take a little bit to understand. It is important that the grid definition is exact because we cannot merge datasets if the coordinates do not match, even to the 9th decimal place.\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "78dc5886-d10a-4ca7-b2df-e10ac1de0c8d", + "metadata": {}, + "outputs": [], + "source": [ + "grid_cell_width = 36032.220840584\n", + "grid_cell_height = -36032.220840584\n", + "x_upper_left_corner = -17367530.4451615\n", + "y_upper_left_corner = 7314540.8306386" + ] + }, + { + "cell_type": "markdown", + "id": "927e8b99-28d0-46d0-9c0e-8f9fd6223861", + "metadata": {}, + "source": [ + "The projected coordinates of a grid cell can be found using the following formulas:\n", + "\n", + "$$\n", + "x = (grid\\_cell\\_width \\times row) + x\\_upper\\_left\\_corner\n", + "$$\n", + "$$\n", + "y = (grid\\_cell\\_height \\times column) + y\\_upper\\_left\\_corner)\n", + "$$\n", + "\n", + "This equations assumes that the origin of the image coordinates start at row=0. and column=0. in the upper-left corner of the upper-left grid cell. So the center of the upper-left grid cell is row=0.5 and column=0.5. Adding 0.5 to row and column indices solves this problem.\n", + "\n", + "We could write a function to return (x, y) coordinates for (column, row) image coordinates using the equations above. Or we can use the `Affine` class from the `affine` package to define an affine matrix. This is what we'll do below. " + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "feed97dc-b521-4240-9446-8811c8694aeb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Affine(36032.220840584, 0.0, -17367530.4451615,\n", + " 0.0, -36032.220840584, 7314540.8306386)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "transform = Affine(grid_cell_width, 0.0, x_upper_left_corner, \n", + " 0.0, grid_cell_height, y_upper_left_corner)\n", + "transform" + ] + }, + { + "cell_type": "markdown", + "id": "08669cb5-4848-41e7-a08b-0b3e71d21f40", + "metadata": {}, + "source": [ + "This then allows us to calculate x and y coordinates from column and row indices using matrix multiplication." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "98bd706e-78fc-4cc5-a11a-ff0cb22ca93c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(17367530.445161477, -7314540.830638505)" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "transform * (964, 406)" + ] + }, + { + "cell_type": "markdown", + "id": "549fc024-b032-406a-acdc-f7a76dea9e49", + "metadata": {}, + "source": [ + "We'll define vectors for the row and column indices of the grid cell centers, and then use the `transform` matrix to get x and y coordinates. These only need to be vectors as well because each column will have the same row indices and each row will have the same column indices. We'll use the `numpy.arange` function to do and start the range at 0.5 to offset the row and column indices for grid cell centers by 0.5." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "4a314543-1a0c-482d-86d3-5905b6b11b2b", + "metadata": {}, + "outputs": [], + "source": [ + "nrows, ncolumns, nclass = gds.dims['y'], gds.dims['x'], gds.dims['igbp_class'] #data_vars['soil_moisture'][1].shape\n", + "row = np.arange(0.5, nrows)\n", + "column = np.arange(0.5, ncolumns)\n", + "\n", + "x, _ = transform * (column, 0.5)\n", + "_, y = transform * (0.5, row)\n", + "igbp_class = np.arange(nclass) # Add attributes" + ] + }, + { + "cell_type": "markdown", + "id": "85c7ee2c-05e7-4f00-a30c-e8697c91499e", + "metadata": {}, + "source": [ + "We need to assign `x`, `y`, and `igbp_class` as coordinates. This should be sufficient for plotting. However, if we want to reproject the data we should define the CRS and spatial coordinates, and transform. We do this using `rioxarray` accessors." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "4fda308a-6433-4174-b14e-b162a71ae729", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.Dataset>\n",
+       "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
+       "Coordinates:\n",
+       "  * x                            (x) float64 -1.735e+07 -1.731e+07 ... 1.735e+07\n",
+       "  * y                            (y) float64 7.297e+06 7.26e+06 ... -7.297e+06\n",
+       "  * igbp_class                   (igbp_class) int64 0 1 2\n",
+       "    wgs84_easegrid2_global       int64 0\n",
+       "Data variables: (12/53)\n",
+       "    EASE_column_index            (y, x) float32 ...\n",
+       "    EASE_row_index               (y, x) float32 ...\n",
+       "    albedo                       (y, x) float32 ...\n",
+       "    albedo_dca                   (y, x) float32 ...\n",
+       "    albedo_scah                  (y, x) float32 ...\n",
+       "    albedo_scav                  (y, x) float32 ...\n",
+       "    ...                           ...\n",
+       "    tb_v_uncorrected             (y, x) float32 ...\n",
+       "    vegetation_opacity           (y, x) float32 ...\n",
+       "    vegetation_opacity_dca       (y, x) float32 ...\n",
+       "    vegetation_opacity_scah      (y, x) float32 ...\n",
+       "    vegetation_opacity_scav      (y, x) float32 ...\n",
+       "    vegetation_water_content     (y, x) float32 ...
" + ], + "text/plain": [ + "\n", + "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", + "Coordinates:\n", + " * x (x) float64 -1.735e+07 -1.731e+07 ... 1.735e+07\n", + " * y (y) float64 7.297e+06 7.26e+06 ... -7.297e+06\n", + " * igbp_class (igbp_class) int64 0 1 2\n", + " wgs84_easegrid2_global int64 0\n", + "Data variables: (12/53)\n", + " EASE_column_index (y, x) float32 ...\n", + " EASE_row_index (y, x) float32 ...\n", + " albedo (y, x) float32 ...\n", + " albedo_dca (y, x) float32 ...\n", + " albedo_scah (y, x) float32 ...\n", + " albedo_scav (y, x) float32 ...\n", + " ... ...\n", + " tb_v_uncorrected (y, x) float32 ...\n", + " vegetation_opacity (y, x) float32 ...\n", + " vegetation_opacity_dca (y, x) float32 ...\n", + " vegetation_opacity_scah (y, x) float32 ...\n", + " vegetation_opacity_scav (y, x) float32 ...\n", + " vegetation_water_content (y, x) float32 ..." + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gds = gds.assign_coords(x=x, y=y, igbp_class=igbp_class)\n", + "\n", + "gds.rio.write_crs(6933, grid_mapping_name='wgs84_easegrid2_global', inplace=True)\n", + "gds.rio.set_spatial_dims(x_dim='x', y_dim='y', inplace=True)\n", + "gds.rio.write_coordinate_system(inplace=True)\n", + "gds.rio.write_transform(transform)\n", + "gds.rio.write_grid_mapping('wgs84_easegrid2_global', inplace=True)\n", + "gds" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "29cb574a-7f44-4924-b275-0fce25606569", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wgs84_easegrid2_global\n", + "(-17367530.4451615, -7314540.830638505, 17367530.445161473, 7314540.8306386)\n" + ] + } + ], + "source": [ + "print(gds.latitude.rio.grid_mapping)\n", + "print(gds.rio.bounds())" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "70f54aaa-a1fc-46a2-826d-737bd71aa386", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "EASEGrid2 = ccrs.epsg(gds.rio.crs.to_epsg())\n", + "\n", + "fig = plt.figure(figsize=(12,7))\n", + "ax = fig.add_subplot(projection=EASEGrid2)\n", + "\n", + "ax.coastlines()\n", + "gds.soil_moisture.plot(ax=ax,)\n", + "ax.set_title('Soil Moisture');" + ] + }, + { + "cell_type": "markdown", + "id": "ae67f0aa-b858-4ee1-aa29-3961df9c54cc", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "## Extra Stuff to be refined" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1d00eaa2-7b6e-477a-b71c-6d90d09aa0a2", + "metadata": {}, + "outputs": [], + "source": [ + "grid_mapping_name = \"WGS84_NSIDC_EASEGrid_2.0_Global\"\n", + "datasets = ['Soil_Moisture_Retrieval_Data_AM/soil_moisture', 'Soil_Moisture_Retrieval_Data_AM/retrieval_qual_flag']\n", + "data_vars = {}\n", + "dims = ['y', 'x']\n", + "with h5py.File(smap_files[0]) as root:\n", + " for dataset in datasets:\n", + " ds = root[dataset]\n", + " path = ds.name\n", + " name = path.split('/')[-1]\n", + " attrs = {k: (v.decode('UTF-8') if hasattr(v, 'decode') else v) for k, v in dict(ds.attrs).items()}\n", + " attrs['grid_mapping'] = grid_mapping_name # Add so that dataset is CF-compliant and geoferenced\n", + " data_vars[name] = (dims, ds[:], attrs)\n", + "\n", + "data_vars\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39afd220-8f13-4993-a25a-5ec0513476be", + "metadata": {}, + "outputs": [], + "source": [ + "plt.imshow(data_vars['soil_moisture'][1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1d7878b4-eec8-4214-8479-df2a8aab1016", + "metadata": {}, + "outputs": [], + "source": [ + "data_vars['soil_moisture'][1].shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5329fb83-8b95-42db-8ac1-7efe555a0c4f", + "metadata": {}, + "outputs": [], + "source": [ + "plt.pcolormesh(x, y, data_vars['soil_moisture'][1])" + ] + }, + { + "cell_type": "markdown", + "id": "083d7efa-0fb3-418b-93b6-04132a0375fe", + "metadata": {}, + "source": [ + "We also need to define the CRS. We know that the CRS has the EPSG code 6933. We can use `pyproj` to get the CRS definition." + ] + }, + { + "cell_type": "markdown", + "id": "fcbd0150-c72c-453b-8045-489f702b8349", + "metadata": {}, + "source": [ + "Base on [CF-Conventions](http://cfconventions.org/cf-conventions/cf-conventions.html#grid-mappings-and-projections), we add the CRS as a variable with the same name as we used for the `grid_mapping` attribute of each data variable. We define this variable as an integer. The grid mapping information is then copied as attributes for that variable. We use the `to_cf()` method of the `pyproj.CRS` object to do this." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "037dc012-8f52-4144-b929-fb3169dcebeb", + "metadata": {}, + "outputs": [], + "source": [ + "ds = xr.Dataset(data_vars, coords={'x': x, 'y': y})\n", + "ds" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "667dbefd-1a3e-4b9f-94a7-dfc0cb314961", + "metadata": {}, + "outputs": [], + "source": [ + "ds.rio.write_crs(6933, inplace=True)\n", + "\n", + "#ds[grid_mapping_name].attrs = crs.to_cf()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "58167732-336b-49a1-b915-2b3683336226", + "metadata": {}, + "outputs": [], + "source": [ + "ds =xr.decode_cf(ds)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f479de98-57b8-401d-8ae6-f5372c835dc1", + "metadata": {}, + "outputs": [], + "source": [ + "ds.soil_moisture.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "c98fef70-b2eb-4e17-90f1-58d8e93c2f56", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/SMAP/smap_rasterio_issues.ipynb b/notebooks/SMAP/smap_rasterio_issues.ipynb new file mode 100644 index 0000000..2409231 --- /dev/null +++ b/notebooks/SMAP/smap_rasterio_issues.ipynb @@ -0,0 +1,2339 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "12d41e1b-020f-431d-8916-44b79b9bab33", + "metadata": {}, + "source": [ + "# Issues reading SMAP with different xarray backends\n", + "\n", + "This notebook explores [Issue 650](https://github.com/corteva/rioxarray/issues/650) for rioxarray. The user finds that the y-axis is flipped when they use `xarray` with `rioxarray` to read SMAP L4 data but not when they use the `netcdf4` backend.\n", + "\n", + "They use https://n5eil01u.ecs.nsidc.org/SMAP/SPL4SMGP.007/2015.03.31/SMAP_L4_SM_gph_20150331T013000_Vv7032_001.h5 as an example." + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "e157b689-ed9b-49dc-83cf-ed046f57d5ef", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024.2.0\n", + "0.15.0\n" + ] + } + ], + "source": [ + "from pathlib import Path\n", + "import warnings\n", + "\n", + "import xarray as xr\n", + "import rioxarray\n", + "import matplotlib.pyplot as plt\n", + "\n", + "print(xr.__version__)\n", + "print(rioxarray.__version__)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ad25ca3c-9aa4-4123-8af0-5a09ccf5bf46", + "metadata": {}, + "outputs": [], + "source": [ + "filepath = Path(\"smap_data/SMAP_L4_SM_gph_20150331T013000_Vv7032_001.h5\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "f31063b9-0b3a-4a3c-b34f-86a3ce59c898", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 175MB\n",
+       "Dimensions:                           (phony_dim_2: 1, y: 1624, x: 3856)\n",
+       "Coordinates:\n",
+       "  * x                                 (x) float64 31kB -1.736e+07 ... 1.736e+07\n",
+       "  * y                                 (y) float64 13kB 7.31e+06 ... -7.31e+06\n",
+       "Dimensions without coordinates: phony_dim_2\n",
+       "Data variables:\n",
+       "    EASE2_global_projection           (phony_dim_2) |S1 1B ...\n",
+       "    cell_column                       (y, x) float64 50MB ...\n",
+       "    cell_lat                          (y, x) float32 25MB ...\n",
+       "    cell_lon                          (y, x) float32 25MB ...\n",
+       "    cell_row                          (y, x) float64 50MB ...\n",
+       "    time                              (phony_dim_2) datetime64[ns] 8B ...\n",
+       "    precipitation_total_surface_flux  (y, x) float32 25MB ...\n",
+       "Attributes:\n",
+       "    Source:       v17.11.1\n",
+       "    Institution:  NASA Global Modeling and Assimilation Office\n",
+       "    History:      File written by ldas2daac.x\n",
+       "    Comment:      HDF-5\n",
+       "    Filename:     /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv7032/...\n",
+       "    Title:        SMAP L4_SM Geophysical (GPH) Data Granule\n",
+       "    Conventions:  CF\n",
+       "    References:   see SMAP L4_SM Product Specification Documentation\n",
+       "    Contact:      http://gmao.gsfc.nasa.gov
" + ], + "text/plain": [ + " Size: 175MB\n", + "Dimensions: (phony_dim_2: 1, y: 1624, x: 3856)\n", + "Coordinates:\n", + " * x (x) float64 31kB -1.736e+07 ... 1.736e+07\n", + " * y (y) float64 13kB 7.31e+06 ... -7.31e+06\n", + "Dimensions without coordinates: phony_dim_2\n", + "Data variables:\n", + " EASE2_global_projection (phony_dim_2) |S1 1B ...\n", + " cell_column (y, x) float64 50MB ...\n", + " cell_lat (y, x) float32 25MB ...\n", + " cell_lon (y, x) float32 25MB ...\n", + " cell_row (y, x) float64 50MB ...\n", + " time (phony_dim_2) datetime64[ns] 8B ...\n", + " precipitation_total_surface_flux (y, x) float32 25MB ...\n", + "Attributes:\n", + " Source: v17.11.1\n", + " Institution: NASA Global Modeling and Assimilation Office\n", + " History: File written by ldas2daac.x\n", + " Comment: HDF-5\n", + " Filename: /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv7032/...\n", + " Title: SMAP L4_SM Geophysical (GPH) Data Granule\n", + " Conventions: CF\n", + " References: see SMAP L4_SM Product Specification Documentation\n", + " Contact: http://gmao.gsfc.nasa.gov" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "engine = \"netcdf4\"\n", + "ds = xr.merge([\n", + " xr.open_dataset(filepath, engine=engine),\n", + " xr.open_dataset(filepath, group='Geophysical_Data', engine=engine)['precipitation_total_surface_flux'],\n", + " ])\n", + "ds" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2fe7bdca-12de-4674-b1c3-e55ac24e7627", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ds.precipitation_total_surface_flux.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "7cd943e4-7c2e-41c6-9ed1-ea45c90ff015", + "metadata": {}, + "source": [ + "With `h5netcdf`" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "fd8a2568-0893-4375-8b34-0b2e8b816ac2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Size: 175MB\n", + "Dimensions: (phony_dim_2: 1, y: 1624, x: 3856)\n", + "Coordinates:\n", + " * x (x) float64 31kB -1.736e+07 ... 1.736e+07\n", + " * y (y) float64 13kB 7.31e+06 ... -7.31e+06\n", + "Dimensions without coordinates: phony_dim_2\n", + "Data variables:\n", + " EASE2_global_projection (phony_dim_2) |S1 1B ...\n", + " cell_column (y, x) float64 50MB ...\n", + " cell_lat (y, x) float32 25MB ...\n", + " cell_lon (y, x) float32 25MB ...\n", + " cell_row (y, x) float64 50MB ...\n", + " time (phony_dim_2) datetime64[ns] 8B ...\n", + " precipitation_total_surface_flux (y, x) float32 25MB ...\n", + "Attributes:\n", + " Comment: HDF-5\n", + " Contact: http://gmao.gsfc.nasa.gov\n", + " Conventions: CF\n", + " Filename: /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv7032/...\n", + " History: File written by ldas2daac.x\n", + " Institution: NASA Global Modeling and Assimilation Office\n", + " References: see SMAP L4_SM Product Specification Documentation\n", + " Source: v17.11.1\n", + " Title: SMAP L4_SM Geophysical (GPH) Data Granule\n" + ] + } + ], + "source": [ + "engine=\"h5netcdf\"\n", + "ds = xr.merge([\n", + " xr.open_dataset(filepath, engine=engine, phony_dims=\"sort\"),\n", + " xr.open_dataset(filepath, group='Geophysical_Data', engine=engine, phony_dims=\"sort\")['precipitation_total_surface_flux'],\n", + " ])\n", + "print(ds)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "105606bc-6c6b-4ffd-8bbc-23e40db3f065", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n" + ] + } + ], + "source": [ + "%%capture \n", + "# Avoid a string of NotGeoreferencedWarnings\n", + "# /home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: \n", + "# Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + "# dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", + "engine = \"rasterio\"\n", + "ds_rasterio = xr.open_dataset(filepath, engine=engine)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "fe9df3a8-b6f9-459f-b74c-44c6b1495fcb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Size: 31kB\n", + "array([5.0000e-01, 1.5000e+00, 2.5000e+00, ..., 3.8535e+03, 3.8545e+03,\n", + " 3.8555e+03])\n", + "Coordinates:\n", + " * x (x) float64 31kB 0.5 1.5 ... 3.854e+03 3.856e+03\n", + " EASE2_global_projection int64 8B ... Size: 13kB\n", + "array([5.0000e-01, 1.5000e+00, 2.5000e+00, ..., 1.6215e+03, 1.6225e+03,\n", + " 1.6235e+03])\n", + "Coordinates:\n", + " * y (y) float64 13kB 0.5 1.5 ... 1.622e+03 1.624e+03\n", + " EASE2_global_projection int64 8B ...\n" + ] + } + ], + "source": [ + "print(ds_rasterio.x, ds_rasterio.y)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "ca842d36-9d4e-4ce7-8005-94cdf96875af", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ds_rasterio.cell_lat.plot()\n", + "plt.savefig('smap_h5_cell_lat.png')" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "66ea978b-26ae-496a-9bdf-e94843dfd035", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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STRPAD H5T_STR_NULLTERM;\n", + " CSET H5T_CSET_ASCII;\n", + " CTYPE H5T_C_S1;\n", + " }\n", + " DATASPACE SCALAR\n", + " DATA {\n", + " (0): \"x\"\n", + " }\n", + " }\n", + " ATTRIBUTE \"REFERENCE_LIST\" {\n", + " DATATYPE H5T_COMPOUND {\n", + " H5T_REFERENCE { H5T_STD_REF_OBJECT } \"dataset\";\n", + " H5T_STD_I32LE \"dimension\";\n", + " }\n", + " DATASPACE SIMPLE { ( 49 ) / ( 49 ) }\n", + " DATA {\n", + " (0): {\n", + " DATASET 94781954955696 \"/cell_lat\",\n", + " 1\n", + " },\n", + " (1): {\n", + " DATASET 94781955449984 \"/cell_lon\",\n", + " 1\n", + " },\n", + " (2): {\n", + " DATASET 94781954991632 \"/cell_row\",\n", + " 1\n", + " },\n", + " (3): {\n", + " DATASET 94781955070112 \"/cell_column\",\n", + " 1\n", + " },\n", + " (4): {\n", + " DATASET 94781955031904 \"/Geophysical_Data/sm_surface\",\n", + " 1\n", + " },\n", + " (5): {\n", + " DATASET 94781955208704 \"/Geophysical_Data/sm_rootzone\",\n", + " 1\n", + " },\n", + " (6): {\n", + " DATASET 94781955227040 \"/Geophysical_Data/sm_profile\",\n", + " 1\n", + " },\n", + " (7): {\n", + " DATASET 94781955008112 \"/Geophysical_Data/sm_surface_wetness\",\n", + " 1\n", + " },\n", + " (8): {\n", + " DATASET 94781954989168 \"/Geophysical_Data/sm_rootzone_wetness\",\n", + " 1\n", + " },\n", + " (9): {\n", + " DATASET 94781954948064 \"/Geophysical_Data/sm_profile_wetness\",\n", + " 1\n", + " },\n", + " (10): {\n", + " DATASET 94781955031904 \"/Geophysical_Data/surface_temp\",\n", + " 1\n", + " },\n", + " (11): {\n", + " DATASET 94781955227040 \"/Geophysical_Data/soil_temp_layer1\",\n", + " 1\n", + " },\n", + " (12): {\n", + " DATASET 94781955433552 \"/Geophysical_Data/soil_temp_layer2\",\n", + " 1\n", + " },\n", + " (13): {\n", + " DATASET 94781955208704 \"/Geophysical_Data/soil_temp_layer3\",\n", + " 1\n", + " },\n", + " (14): {\n", + " DATASET 94781955426464 \"/Geophysical_Data/soil_temp_layer4\",\n", + " 1\n", + " },\n", + " (15): {\n", + " DATASET 94781955004992 \"/Geophysical_Data/soil_temp_layer5\",\n", + " 1\n", + " },\n", + " (16): {\n", + " DATASET 94781955534768 \"/Geophysical_Data/soil_temp_layer6\",\n", + " 1\n", + " },\n", + " (17): {\n", + " DATASET 94781955241184 \"/Geophysical_Data/snow_mass\",\n", + " 1\n", + " },\n", + " (18): {\n", + " DATASET 94781954989168 \"/Geophysical_Data/snow_depth\",\n", + " 1\n", + " },\n", + " (19): {\n", + " DATASET 94781955227040 \"/Geophysical_Data/land_evapotranspiration_flux\",\n", + " 1\n", + " },\n", + " (20): {\n", + " DATASET 94781955208704 \"/Geophysical_Data/overland_runoff_flux\",\n", + " 1\n", + " },\n", + " (21): {\n", + " DATASET 94781955440752 \"/Geophysical_Data/baseflow_flux\",\n", + " 1\n", + " },\n", + " (22): {\n", + " DATASET 94781954989168 \"/Geophysical_Data/snow_melt_flux\",\n", + " 1\n", + " },\n", + " (23): {\n", + " DATASET 94781955004992 \"/Geophysical_Data/soil_water_infiltration_flux\",\n", + " 1\n", + " },\n", + " (24): {\n", + " DATASET 94781955112624 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" DATASET 94781954948064 \"/Geophysical_Data/radiation_shortwave_downward_flux\",\n", + " 1\n", + " },\n", + " (34): {\n", + " DATASET 94781955227040 \"/Geophysical_Data/radiation_longwave_absorbed_flux\",\n", + " 1\n", + " },\n", + " (35): {\n", + " DATASET 94781955433360 \"/Geophysical_Data/precipitation_total_surface_flux\",\n", + " 1\n", + " },\n", + " (36): {\n", + " DATASET 94781955496480 \"/Geophysical_Data/snowfall_surface_flux\",\n", + " 1\n", + " },\n", + " (37): {\n", + " DATASET 94781954948064 \"/Geophysical_Data/surface_pressure\",\n", + " 1\n", + " },\n", + " (38): {\n", + " DATASET 94781955004992 \"/Geophysical_Data/height_lowatmmodlay\",\n", + " 1\n", + " },\n", + " (39): {\n", + " DATASET 94781955227040 \"/Geophysical_Data/temp_lowatmmodlay\",\n", + " 1\n", + " },\n", + " (40): {\n", + " DATASET 94781954948064 \"/Geophysical_Data/specific_humidity_lowatmmodlay\",\n", + " 1\n", + " },\n", + " (41): {\n", + " DATASET 94781954955696 \"/Geophysical_Data/windspeed_lowatmmodlay\",\n", + " 1\n", + " },\n", + " (42): {\n", + " DATASET 94781955104384 \"/Geophysical_Data/vegetation_greenness_fraction\",\n", + " 1\n", + " },\n", + " (43): {\n", + " DATASET 94781955104352 \"/Geophysical_Data/leaf_area_index\",\n", + " 1\n", + " },\n", + " (44): {\n", + " DATASET 94781954948064 \"/Geophysical_Data/depth_to_water_table_from_surface_in_peat\",\n", + " 1\n", + " },\n", + " (45): {\n", + " DATASET 94781955208704 \"/Geophysical_Data/free_surface_water_on_peat_flux\",\n", + " 1\n", + " },\n", + " (46): {\n", + " DATASET 94781955004992 \"/Geophysical_Data/mwrtm_vegopacity\",\n", + " 1\n", + " },\n", + " (47): {\n", + " DATASET 94781955008112 \"/Geophysical_Data/sm_rootzone_pctl\",\n", + " 1\n", + " },\n", + " (48): {\n", + " DATASET 94781955433360 \"/Geophysical_Data/sm_profile_pctl\",\n", + " 1\n", + " }\n", + " }\n", + " }\n", + " ATTRIBUTE \"axis\" {\n", + " DATATYPE H5T_STRING {\n", + " STRSIZE 1;\n", + " STRPAD H5T_STR_NULLTERM;\n", + " CSET H5T_CSET_ASCII;\n", + " CTYPE H5T_C_S1;\n", + " }\n", + " DATASPACE SCALAR\n", + " DATA {\n", + " (0): \"X\"\n", + " }\n", + " }\n", + " ATTRIBUTE \"long_name\" {\n", + " DATATYPE H5T_STRING {\n", + " STRSIZE 57;\n", + " STRPAD H5T_STR_NULLTERM;\n", + " CSET H5T_CSET_ASCII;\n", + " CTYPE H5T_C_S1;\n", + " }\n", + " DATASPACE SCALAR\n", + " DATA {\n", + " (0): \"X coordinate of cell center in EASE 2.0 global projection\"\n", + " }\n", + " }\n", + " ATTRIBUTE \"standard_name\" {\n", + " DATATYPE H5T_STRING {\n", + " STRSIZE 23;\n", + " STRPAD H5T_STR_NULLTERM;\n", + " CSET H5T_CSET_ASCII;\n", + " CTYPE H5T_C_S1;\n", + " }\n", + " DATASPACE SCALAR\n", + " DATA {\n", + " (0): \"projection_x_coordinate\"\n", + " }\n", + " }\n", + " ATTRIBUTE \"units\" {\n", + " DATATYPE H5T_STRING {\n", + " STRSIZE 1;\n", + " STRPAD H5T_STR_NULLTERM;\n", + " CSET H5T_CSET_ASCII;\n", + " CTYPE H5T_C_S1;\n", + " }\n", + " DATASPACE SCALAR\n", + " DATA {\n", + " (0): \"m\"\n", + " }\n", + " }\n", + "}\n", + "}\n" + ] + } + ], + "source": [ + "!h5dump -d x {filepath}" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "0b5c0ea7-5693-4745-ae37-152b354504d5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Size: 175MB\n", + "Dimensions: (phony_dim_2: 1, y: 1624, x: 3856)\n", + "Coordinates:\n", + " EASE2_global_projection (phony_dim_2) |S1 1B ...\n", + " * x (x) float64 31kB -1.736e+07 ... 1.736e+07\n", + " * y (y) float64 13kB 7.31e+06 ... -7.31e+06\n", + "Dimensions without coordinates: phony_dim_2\n", + "Data variables:\n", + " cell_column (y, x) float64 50MB ...\n", + " cell_lat (y, x) float32 25MB ...\n", + " cell_lon (y, x) float32 25MB ...\n", + " cell_row (y, x) float64 50MB ...\n", + " time (phony_dim_2) datetime64[ns] 8B ...\n", + " precipitation_total_surface_flux (y, x) float32 25MB ...\n", + "Attributes:\n", + " Source: v17.11.1\n", + " Institution: NASA Global Modeling and Assimilation Office\n", + " History: File written by ldas2daac.x\n", + " Comment: HDF-5\n", + " Filename: /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv7032/...\n", + " Title: SMAP L4_SM Geophysical (GPH) Data Granule\n", + " Conventions: CF\n", + " References: see SMAP L4_SM Product Specification Documentation\n", + " Contact: http://gmao.gsfc.nasa.gov\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_230171/3642432009.py:3: UserWarning: Variable(s) referenced in grid_mapping not in variables: ['EASE2_global_projection']\n", + " xr.open_dataset(filepath, group='Geophysical_Data', decode_coords=\"all\")['precipitation_total_surface_flux'],\n" + ] + } + ], + "source": [ + "ds_rioxarray = xr.merge([\n", + " xr.open_dataset(filepath, decode_coords=\"all\"),\n", + " xr.open_dataset(filepath, group='Geophysical_Data', decode_coords=\"all\")['precipitation_total_surface_flux'],\n", + "])\n", + "\n", + "print(ds_rioxarray)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "a70d9fbf-9087-49c5-8e14-c978fba84b26", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Cannot be used\n", + " together with resolution.\n", + "transform: Affine, optional\n", + " The destination transform.\n", + "resampling: rasterio.enums.Resampling, optional\n", + " See :func:`rasterio.warp.reproject` for more details.\n", + "nodata: float, optional\n", + " The nodata value used to initialize the destination;\n", + " it will remain in all areas not covered by the reprojected source.\n", + " Defaults to the nodata value of the source image if none provided\n", + " and exists or attempts to find an appropriate value by dtype.\n", + "**kwargs: dict\n", + " Additional keyword arguments to pass into :func:`rasterio.warp.reproject`.\n", + " To override:\n", + " - src_transform: `rio.write_transform`\n", + " - src_crs: `rio.write_crs`\n", + " - src_nodata: `rio.write_nodata`\n", + "\n", + "Returns\n", + "--------\n", + ":class:`xarray.Dataset`:\n", + " The reprojected Dataset.\n", + "\u001b[0;31mFile:\u001b[0m ~/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/raster_dataset.py\n", + "\u001b[0;31mType:\u001b[0m method" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ds_rioxarray.rio.reproject?" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "7b855823-9181-4100-ba58-6b8fad7a7dd1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ds.precipitation_total_surface_flux.plot.imshow()" + ] + }, + { + "cell_type": "markdown", + "id": "2074ce5c-7ef5-4458-a52d-d7211ed2231f", + "metadata": {}, + "source": [ + "Try writing a dummy geotiff and then read it back in" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f79ff594-0a8f-44cf-9eb8-731d2e714eec", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/SMAP/working_with_smap_in_xarray.ipynb b/notebooks/SMAP/working_with_smap_in_xarray.ipynb index d67b2ec..b9a15e9 100644 --- a/notebooks/SMAP/working_with_smap_in_xarray.ipynb +++ b/notebooks/SMAP/working_with_smap_in_xarray.ipynb @@ -11,15 +11,11 @@ "\n", "### Introduction\n", "\n", - "This notebook demonstrates searching for, downloading, reading and plotting SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture data using `earthaccess`, `xarray` and `cartopy`. `earthaccess` makes searching for and downloading NASA Earth science data easy. `xarray` is a commonly used, high-level package for working with n-dimensional gridded data. It makes reading HDF5 data easy and simplifies common Earth and atmospheric science workflows. `cartopy` provides a simple plotting interface to display geospatial data and create maps complete with country, state and outher topographic features. Finally, we demonstrate how to transform and resample the data using `rioxarray`, an add-on for `xarray` that brings many of the geospatial functions from `rasterio` to n-dimensional data.\n", + "This notebook demonstrates searching for, downloading, reading and plotting SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture data using `earthaccess`, `xarray` and `cartopy`. `earthaccess` makes searching for and downloading NASA Earth science data easy. `xarray` is a commonly used, high-level package for working with n-dimensional gridded data. It makes reading HDF5 data easy and simplifies common Earth and atmospheric science workflows. `cartopy` provides a simple plotting interface to display geospatial data and create maps complete with coastlines, country and state boundaries, and other topographic features. Finally, we demonstrate how to transform and resample the data using `rioxarray`, an add-on for `xarray` that brings many of the geospatial functions from `rasterio` to n-dimensional data.\n", "\n", - "To enable any of these functions `xarray.Datasets`, one of the two data structures used in `xarray`, `rioxarray.Datasets` expect to have information about the coordinate reference system (CRS), also known as the spatial reference system (SRS), and the coordinate system of the grid. Many datasets that conform to CF-Conventions already contain this information. Unfortunately, the SMAP data files do not contain this information. The tutorial shows how to add this information. It also shows how to fix some other issues with the data.\n", + "To use `xarray` and `rioxarray`, we need information about the coordinate reference system (CRS), also known as the spatial reference system (SRS), and the coordinate system of the grid. Many datasets that conform to CF-Conventions already contain this information within the file so that `rioxarray` can read it. Unfortunately, the SMAP data files do not contain this information. The tutorial shows how to add this information and add additional information that makes working with N-dimensional data much easier.\n", "\n", - "These issues are common to many datasets. These sections of the tutorial can be thought of as a guide to working with and fixing datasets with missing or inadequate metadata.\n", - "\n", - ">The purpose of the CF conventions is to require conforming datasets to contain sufficient metadata that they are self-describing in the sense that each variable in the file has an associated description of what it represents, including physical units if appropriate, and that each value can be located in space (relative to earth-based coordinates) and time.\n", - ">\n", - ">An important benefit of a convention is that it enables software tools to display data and perform operations on specified subsets of the data with minimal user intervention. It is possible to provide the metadata describing how a field is located in time and space in many different ways that a human would immediately recognize as equivalent. The purpose in restricting how the metadata is represented is to make it practical to write software that allows a machine to parse that metadata and to automatically associate each data value with its location in time and space. It is equally important that the metadata be easy for human users to write and to understand.\n", + "These issues are common to many datasets. These sections of the tutorial can be thought of as a guide to working with and \"fixing\" datasets with missing or inadequate metadata. You can also think of it as a guide to producing CF-compliant data.\n", "\n", "The tutorials use the SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 8 (SPL3SMP, DOI:10.5067/OMHVSRGFX38O).\n", "\n", @@ -32,7 +28,7 @@ "By the end of this tutorial you will know how to:\n", "1. open the SMAP data with `xarray`;\n", "2. add CRS and coordinate system information;\n", - "3. fix metadata issues with dataset;\n", + "3. add dataset metadata;\n", "4. plot the data on a map;\n", "5. transform and resample the data to a new CRS.\n", "\n", @@ -55,9 +51,7 @@ "id": "433b3975-71ab-4189-9453-1d38a250b842", "metadata": {}, "source": [ - "### Import libraries\n", - "\n", - "We'll be using tools from the following libraries." + "### Import libraries" ] }, { @@ -65,16 +59,7 @@ "execution_count": 1, "id": "b35a4034-033a-419c-97a1-fb3a4234e799", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/apbarret/mambaforge/envs/smap-tutorial/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], + "outputs": [], "source": [ "from pathlib import Path # for working with paths on the local file system\n", "from pprint import pprint # for nice printing\n", @@ -83,11 +68,11 @@ "import earthaccess\n", "\n", "# For reading and working with the data\n", - "import rioxarray\n", + "# import rioxarray\n", "import xarray as xr\n", "import numpy as np\n", "\n", - "# For defining CRS and coordinate system\n", + "# For defining CRS and image coordinate system\n", "from affine import Affine\n", "from pyproj import CRS\n", "\n", @@ -162,7 +147,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "4d7cb4e8-0854-4dfa-b2a0-28fffca94305", "metadata": {}, "outputs": [ @@ -174,13 +159,83 @@ ] }, { - "name": "stderr", + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cf94f59754de4e0da9b47efb6b8cb5cf", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "QUEUEING TASKS | : 0%| | 0/31 [00:00
<xarray.Dataset>\n",
+       "
<xarray.Dataset> Size: 99MB\n",
        "Dimensions:                      (phony_dim_0: 406, phony_dim_1: 964,\n",
        "                                  phony_dim_2: 3)\n",
        "Dimensions without coordinates: phony_dim_0, phony_dim_1, phony_dim_2\n",
        "Data variables: (12/53)\n",
-       "    EASE_column_index            (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    EASE_row_index               (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    albedo                       (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    albedo_dca                   (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    albedo_scah                  (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    albedo_scav                  (phony_dim_0, phony_dim_1) float32 ...\n",
+       "    EASE_column_index            (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    EASE_row_index               (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    albedo                       (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    albedo_dca                   (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    albedo_scah                  (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    albedo_scav                  (phony_dim_0, phony_dim_1) float32 2MB ...\n",
        "    ...                           ...\n",
-       "    tb_v_uncorrected             (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    vegetation_opacity           (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    vegetation_opacity_dca       (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    vegetation_opacity_scah      (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    vegetation_opacity_scav      (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    vegetation_water_content     (phony_dim_0, phony_dim_1) float32 ...
"
+       "    tb_v_uncorrected             (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    vegetation_opacity           (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    vegetation_opacity_dca       (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    vegetation_opacity_scah      (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    vegetation_opacity_scav      (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    vegetation_water_content     (phony_dim_0, phony_dim_1) float32 2MB ...
" ], "text/plain": [ - "\n", + " Size: 99MB\n", "Dimensions: (phony_dim_0: 406, phony_dim_1: 964,\n", " phony_dim_2: 3)\n", "Dimensions without coordinates: phony_dim_0, phony_dim_1, phony_dim_2\n", "Data variables: (12/53)\n", - " EASE_column_index (phony_dim_0, phony_dim_1) float32 ...\n", - " EASE_row_index (phony_dim_0, phony_dim_1) float32 ...\n", - " albedo (phony_dim_0, phony_dim_1) float32 ...\n", - " albedo_dca (phony_dim_0, phony_dim_1) float32 ...\n", - " albedo_scah (phony_dim_0, phony_dim_1) float32 ...\n", - " albedo_scav (phony_dim_0, phony_dim_1) float32 ...\n", + " EASE_column_index (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " EASE_row_index (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " albedo (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " albedo_dca (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " albedo_scah (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " albedo_scav (phony_dim_0, phony_dim_1) float32 2MB ...\n", " ... ...\n", - " tb_v_uncorrected (phony_dim_0, phony_dim_1) float32 ...\n", - " vegetation_opacity (phony_dim_0, phony_dim_1) float32 ...\n", - " vegetation_opacity_dca (phony_dim_0, phony_dim_1) float32 ...\n", - " vegetation_opacity_scah (phony_dim_0, phony_dim_1) float32 ...\n", - " vegetation_opacity_scav (phony_dim_0, phony_dim_1) float32 ...\n", - " vegetation_water_content (phony_dim_0, phony_dim_1) float32 ..." + " tb_v_uncorrected (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " vegetation_opacity (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " vegetation_opacity_dca (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " vegetation_opacity_scah (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " vegetation_opacity_scav (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " vegetation_water_content (phony_dim_0, phony_dim_1) float32 2MB ..." ] }, - "execution_count": 12, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "gds = xr.open_dataset(smap_files[0], group='Soil_Moisture_Retrieval_Data_AM', phony_dims='sort') #, decode_coords='all', decode_cf=True)\n", + "gds = xr.open_dataset(smap_files[0], group='Soil_Moisture_Retrieval_Data_AM', \n", + " phony_dims='sort', engine=\"h5netcdf\", decode_coords=\"all\")\n", "gds" ] }, + { + "cell_type": "markdown", + "id": "50443520-2522-40b5-853a-2e238969161a", + "metadata": {}, + "source": [ + "We can already see some issues with the dataset that need to be addressed to allow you to take full advantage of `xarray` and other tools.\n", + "\n", + "First, the dimension names `phony_dim_0`, `phony_dim_1`, and `phony_dim_2` are not meaningful. A user and a software tool needs to figure out which dimensions are spatial dimensions, as well as what the third dimension is. This is because no dimensions were assigned to datasets when the dataset was created. `xarray` generate some \"phony\" variables.\n", + "\n", + "_look at what `xarray` is doing when it assigns `phony_dim`_\n", + "\n", + "A second issue is that there are no coordinate variables. Coordinate variables are necessary for tools like `xarray` to subset and transform data.\n", + "\n", + "```{note}\n", + "Actually the file does contain some coordinate variables `latitude` and `longitude` but `xarray` does not recognize these as coordinate variables because the dimensions are not defined _I think but check_.\n", + "```" + ] + }, { "cell_type": "markdown", "id": "05d558e4-448d-4c7a-a188-ea5cf27dc124", @@ -735,31 +810,20 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, + "id": "f81b6e40-a56b-4632-9560-8c3333f43427", + "metadata": {}, + "outputs": [], + "source": [ + "gds.EASE_row_index[:,0].values" + ] + }, + { + "cell_type": "code", + "execution_count": null, "id": "2399bc41-3f7e-43b6-bc1f-10d9b9893e32", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "gds.albedo.plot()" ] @@ -780,23 +844,10 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "a445433e-d160-4ca2-9a58-a0b74ccf348b", "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "cannot rename 'phony_dim_0' because it is not found in the dimensions of this dataset ('y', 'x', 'igbp_class')", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/tmp/ipykernel_24814/2980279117.py\u001b[0m in \u001b[0;36m?\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mgds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrename_dims\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'phony_dim_0'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'y'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'phony_dim_1'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'x'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'phony_dim_2'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'igbp_class'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mgds\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/mambaforge/envs/smap-tutorial/lib/python3.10/site-packages/xarray/core/dataset.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, dims_dict, **dims)\u001b[0m\n\u001b[1;32m 4319\u001b[0m \"\"\"\n\u001b[1;32m 4320\u001b[0m \u001b[0mdims_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0meither_dict_or_kwargs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdims_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdims\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"rename_dims\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4321\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdims_dict\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4322\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mk\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdims\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4323\u001b[0;31m raise ValueError(\n\u001b[0m\u001b[1;32m 4324\u001b[0m \u001b[0;34mf\"cannot rename {k!r} because it is not found \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4325\u001b[0m \u001b[0;34mf\"in the dimensions of this dataset {tuple(self.dims)}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4326\u001b[0m )\n", - "\u001b[0;31mValueError\u001b[0m: cannot rename 'phony_dim_0' because it is not found in the dimensions of this dataset ('y', 'x', 'igbp_class')" - ] - } - ], + "outputs": [], "source": [ "gds = gds.rename_dims({'phony_dim_0': 'y', 'phony_dim_1': 'x', 'phony_dim_2': 'igbp_class'})\n", "gds" @@ -818,31 +869,10 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "96f26e1e-2c6d-4f57-bf51-72653e2c76d9", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(2, 1)\n", "gds.latitude.plot(ax=ax[0])\n", @@ -859,19 +889,10 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "id": "fe9bc187-b64d-414d-9074-5bc5e33c3774", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Latitude: Min = -9999.0, Max = 83.63197326660156\n", - "Longitude: Min = -9999.0, Max = 179.8132781982422\n" - ] - } - ], + "outputs": [], "source": [ "print(f\"Latitude: Min = {gds.latitude.min().values}, Max = {gds.latitude.max().values}\")\n", "print(f\"Longitude: Min = {gds.longitude.min().values}, Max = {gds.longitude.max().values}\")" @@ -887,31 +908,10 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "id": "18d8326c-fea7-4fb5-a7bc-e38f4bbfdd05", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(2, 1)\n", "gds.latitude.plot(ax=ax[0]);\n", @@ -934,25 +934,17 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "id": "c65618de-eb3d-4f07-804c-81f0199a3ed4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'chunksizes': (1, 964), 'fletcher32': False, 'shuffle': False, 'preferred_chunks': {'phony_dim_0': 1, 'phony_dim_1': 964}, 'zlib': True, 'complevel': 2, 'source': '/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170323_R18290_001.h5', 'original_shape': (406, 964), 'dtype': dtype('" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(3, 1)\n", "gds.latitude.plot(ax=ax[0]);\n", @@ -1080,7 +1042,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "id": "78dc5886-d10a-4ca7-b2df-e10ac1de0c8d", "metadata": {}, "outputs": [], @@ -1112,22 +1074,10 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "id": "feed97dc-b521-4240-9446-8811c8694aeb", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Affine(36032.220840584, 0.0, -17367530.4451615,\n", - " 0.0, -36032.220840584, 7314540.8306386)" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "transform = Affine(grid_cell_width, 0.0, x_upper_left_corner, \n", " 0.0, grid_cell_height, y_upper_left_corner)\n", @@ -1144,21 +1094,10 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "id": "98bd706e-78fc-4cc5-a11a-ff0cb22ca93c", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(17367530.445161477, -7314540.830638505)" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "transform * (964, 406)" ] @@ -1173,7 +1112,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "id": "4a314543-1a0c-482d-86d3-5905b6b11b2b", "metadata": {}, "outputs": [], @@ -1197,459 +1136,10 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "id": "4fda308a-6433-4174-b14e-b162a71ae729", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.Dataset>\n",
-       "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
-       "Coordinates:\n",
-       "  * x                            (x) float64 -1.735e+07 -1.731e+07 ... 1.735e+07\n",
-       "  * y                            (y) float64 7.297e+06 7.26e+06 ... -7.297e+06\n",
-       "  * igbp_class                   (igbp_class) int64 0 1 2\n",
-       "    wgs84_easegrid2_global       int64 0\n",
-       "Data variables: (12/53)\n",
-       "    EASE_column_index            (y, x) float32 ...\n",
-       "    EASE_row_index               (y, x) float32 ...\n",
-       "    albedo                       (y, x) float32 ...\n",
-       "    albedo_dca                   (y, x) float32 ...\n",
-       "    albedo_scah                  (y, x) float32 ...\n",
-       "    albedo_scav                  (y, x) float32 ...\n",
-       "    ...                           ...\n",
-       "    tb_v_uncorrected             (y, x) float32 ...\n",
-       "    vegetation_opacity           (y, x) float32 ...\n",
-       "    vegetation_opacity_dca       (y, x) float32 ...\n",
-       "    vegetation_opacity_scah      (y, x) float32 ...\n",
-       "    vegetation_opacity_scav      (y, x) float32 ...\n",
-       "    vegetation_water_content     (y, x) float32 ...
" - ], - "text/plain": [ - "\n", - "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", - "Coordinates:\n", - " * x (x) float64 -1.735e+07 -1.731e+07 ... 1.735e+07\n", - " * y (y) float64 7.297e+06 7.26e+06 ... -7.297e+06\n", - " * igbp_class (igbp_class) int64 0 1 2\n", - " wgs84_easegrid2_global int64 0\n", - "Data variables: (12/53)\n", - " EASE_column_index (y, x) float32 ...\n", - " EASE_row_index (y, x) float32 ...\n", - " albedo (y, x) float32 ...\n", - " albedo_dca (y, x) float32 ...\n", - " albedo_scah (y, x) float32 ...\n", - " albedo_scav (y, x) float32 ...\n", - " ... ...\n", - " tb_v_uncorrected (y, x) float32 ...\n", - " vegetation_opacity (y, x) float32 ...\n", - " vegetation_opacity_dca (y, x) float32 ...\n", - " vegetation_opacity_scah (y, x) float32 ...\n", - " vegetation_opacity_scav (y, x) float32 ...\n", - " vegetation_water_content (y, x) float32 ..." - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "gds = gds.assign_coords(x=x, y=y, igbp_class=igbp_class)\n", "\n", @@ -1663,19 +1153,10 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "id": "29cb574a-7f44-4924-b275-0fce25606569", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "wgs84_easegrid2_global\n", - "(-17367530.4451615, -7314540.830638505, 17367530.445161473, 7314540.8306386)\n" - ] - } - ], + "outputs": [], "source": [ "print(gds.latitude.rio.grid_mapping)\n", "print(gds.rio.bounds())" @@ -1683,21 +1164,10 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "id": "70f54aaa-a1fc-46a2-826d-737bd71aa386", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "EASEGrid2 = ccrs.epsg(gds.rio.crs.to_epsg())\n", "\n", @@ -1709,6 +1179,19 @@ "ax.set_title('Soil Moisture');" ] }, + { + "cell_type": "markdown", + "id": "31723e14-f98c-49e3-ac2b-912da23c3605", + "metadata": {}, + "source": [ + "## Appendix A: Why use CF conventions\n", + "\n", + ">The purpose of the CF conventions is to require conforming datasets to contain sufficient metadata that they are self-describing in the sense that each variable in the file has an associated description of what it represents, including physical units if appropriate, and that each value can be located in space (relative to earth-based coordinates) and time.\n", + ">\n", + ">An important benefit of a convention is that it enables software tools to display data and perform operations on specified subsets of the data with minimal user intervention. It is possible to provide the metadata describing how a field is located in time and space in many different ways that a human would immediately recognize as equivalent. The purpose in restricting how the metadata is represented is to make it practical to write software that allows a machine to parse that metadata and to automatically associate each data value with its location in time and space. It is equally important that the metadata be easy for human users to write and to understand.\n", + "\n" + ] + }, { "cell_type": "markdown", "id": "ae67f0aa-b858-4ee1-aa29-3961df9c54cc", @@ -1855,7 +1338,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.9.18" } }, "nbformat": 4, From 144b9f8e3be29efd1f912e0aa015de65b8c4c547 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Mon, 6 Jan 2025 18:08:11 -0700 Subject: [PATCH 02/31] basic refactoring --- .../SMAP/working_with_smap_in_xarray.ipynb | 1635 ++++++++++++++--- 1 file changed, 1335 insertions(+), 300 deletions(-) diff --git a/notebooks/SMAP/working_with_smap_in_xarray.ipynb b/notebooks/SMAP/working_with_smap_in_xarray.ipynb index b9a15e9..669860d 100644 --- a/notebooks/SMAP/working_with_smap_in_xarray.ipynb +++ b/notebooks/SMAP/working_with_smap_in_xarray.ipynb @@ -59,7 +59,16 @@ "execution_count": 1, "id": "b35a4034-033a-419c-97a1-fb3a4234e799", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/apbarret/mambaforge/envs/smap-tutorial/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], "source": [ "from pathlib import Path # for working with paths on the local file system\n", "from pprint import pprint # for nice printing\n", @@ -104,23 +113,15 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "id": "1b04c8b8-fe00-4452-9989-8a32012ed338", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Granules found: 31\n" - ] - } - ], + "outputs": [], "source": [ "results = earthaccess.search_data(\n", " short_name = 'SPL3SMP',\n", " version = '008',\n", - " cloud_hosted = False,\n", + " cloud_hosted = True,\n", " temporal = ('2017-03-01','2017-03-31')\n", ")" ] @@ -147,95 +148,18 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "id": "4d7cb4e8-0854-4dfa-b2a0-28fffca94305", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - " Getting 31 granules, approx download size: 0.93 GB\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cf94f59754de4e0da9b47efb6b8cb5cf", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "QUEUEING TASKS | : 0%| | 0/31 [00:00 span {\n", @@ -565,15 +496,15 @@ "}\n", "\n", ".xr-dim-list:before {\n", - " content: '(';\n", + " content: \"(\";\n", "}\n", "\n", ".xr-dim-list:after {\n", - " content: ')';\n", + " content: \")\";\n", "}\n", "\n", ".xr-dim-list li:not(:last-child):after {\n", - " content: ',';\n", + " content: \",\";\n", " padding-right: 5px;\n", "}\n", "\n", @@ -740,7 +671,7 @@ " vegetation_opacity_dca (phony_dim_0, phony_dim_1) float32 2MB ...\n", " vegetation_opacity_scah (phony_dim_0, phony_dim_1) float32 2MB ...\n", " vegetation_opacity_scav (phony_dim_0, phony_dim_1) float32 2MB ...\n", - " vegetation_water_content (phony_dim_0, phony_dim_1) float32 2MB ..." + " vegetation_water_content (phony_dim_0, phony_dim_1) float32 2MB ..." ], "text/plain": [ " Size: 99MB\n", @@ -763,7 +694,7 @@ " vegetation_water_content (phony_dim_0, phony_dim_1) float32 2MB ..." ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -810,20 +741,89 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "f81b6e40-a56b-4632-9560-8c3333f43427", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.,\n", + " 11., 12., 13., 14., 15., 16., 17., 18., 19., 20., 21.,\n", + " 22., 23., 24., 25., 26., 27., 28., 29., 30., 31., 32.,\n", + " 33., 34., 35., 36., 37., 38., 39., 40., 41., 42., 43.,\n", + " 44., 45., 46., 47., 48., 49., 50., 51., 52., 53., 54.,\n", + " 55., 56., 57., 58., 59., 60., 61., nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 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dtype=float32)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "gds.EASE_row_index[:,0].values" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "2399bc41-3f7e-43b6-bc1f-10d9b9893e32", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "gds.albedo.plot()" ] @@ -844,176 +844,681 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "a445433e-d160-4ca2-9a58-a0b74ccf348b", "metadata": {}, - "outputs": [], - "source": [ - "gds = gds.rename_dims({'phony_dim_0': 'y', 'phony_dim_1': 'x', 'phony_dim_2': 'igbp_class'})\n", - "gds" - ] - }, - { - "cell_type": "markdown", - "id": "de673df1-483f-47b0-9e9a-c1aadd711629", - "metadata": {}, - "source": [ - "#### Add coordinate variables\n", - "\n", - "[Coordinate variables](https://cfconventions.org/Data/cf-conventions/cf-conventions-1.11/cf-conventions.html#coordinate-types) locate the data in space and time. Each coordinate variable is a 1-dimensional array associated with a single dimension, usually with the same name as that dimension, and has the same size as that dimensions. Values for coordinate variables give the position of each grid cell within the dataset's coordinate system. Two-dimensional _auxillary coordinates_ are also allowed. These _auxillary coordinates_ need to be related to data variables by including a `coordinates` attribute that lists the _auxillary coordinates_. Coordinate variables are not allowed to have missing values. However, _auxillary coordinates_ can have missing values.\n", - "\n", - "The SMAP data contain 2-dimensional `latitude` and `longitude` grids but data variables do not have a `coordinates` attribute. The data do not contain coordinate variables. Coordinate variables allow efficient subsetting, as well as plotting and transformation. So we need to add `x` and `y` as coordinates. \n", - "\n", - "Because `latitude` and `longitude` are likely coordinate variables, we'll plot them. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "96f26e1e-2c6d-4f57-bf51-72653e2c76d9", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(2, 1)\n", - "gds.latitude.plot(ax=ax[0])\n", - "gds.longitude.plot(ax=ax[1])" - ] - }, - { - "cell_type": "markdown", - "id": "a45a18fd-dc03-42a2-a221-2e77d405ebfb", - "metadata": {}, - "source": [ - "This looks a little strange. Printing minima and maxima for `latitude` and `longitude`, shows that both values are outside of the expected ranges: -90 to 90 for `latitude`, and -180 to 180 or 0 to 360 for `longitude`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fe9bc187-b64d-414d-9074-5bc5e33c3774", - "metadata": {}, - "outputs": [], - "source": [ - "print(f\"Latitude: Min = {gds.latitude.min().values}, Max = {gds.latitude.max().values}\")\n", - "print(f\"Longitude: Min = {gds.longitude.min().values}, Max = {gds.longitude.max().values}\")" - ] - }, - { - "cell_type": "markdown", - "id": "ba404a65-2dd2-4f1b-a538-40861dfcd199", - "metadata": {}, - "source": [ - "If we plot both latitude and soil_moisture, we can see that latitude values have been masked with -9999. where there are no valid data values. **This is not a good or sensible approach because latitude and longitude are coordinates. As long as latitude and longitude values are between -90 and 90, and -180 and 180 (or 0 and 360), they are valid coordinates. While missing values are allowed for _auxillary coordinates_, coordinate values should not have missing values. We also need coordinates for all grid cells for plotting and other operations.** " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "18d8326c-fea7-4fb5-a7bc-e38f4bbfdd05", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(2, 1)\n", - "gds.latitude.plot(ax=ax[0]);\n", - "gds.soil_moisture.plot(ax=ax[1])" - ] - }, - { - "cell_type": "markdown", - "id": "43d5222c-82ba-4c58-83b5-0b13c1919ec2", - "metadata": {}, - "source": [ - "Neither the plot of latitude nor the minimum and maximum values look as we would expect. We expect latitude to be in the range of -90 to +90. The maximum is actually in this range but the minimum is -9999., which is suspiciously like a `_FillData` or missing data value. We would also expect the image to show a smooth field that only varies in the vertical direction, e.g. from -90. to 90. or some similar range. Instead it shows a set of lozenges.\n", - "\n", - "Let's set the `_FillValue` attribute for latitude to `-9999`. In `xarray`, we have to use `where` to apply a mask everywhere a condition is not `True`. Here we set the condition to be _not equal to -9999._ To save time and errors later, we also set the `encoding` entry for `fillvalue` to -9999.\n", - "\n", - "
\n", - "`encoding` is a dictionary of parameters that defines how data are \"encoded\" in the file. It includes information about how data are compressed, chunked, the _FillValue, and data type. Saving the `encoding` is not strictly necessary unless you want to write the data to a new file. We'll follow these steps here to demonstrate how to preserve the encoding data. \n", - "
" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c65618de-eb3d-4f07-804c-81f0199a3ed4", - "metadata": {}, - "outputs": [], - "source": [ - "print(gds.latitude.encoding)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "efc06b5a-fe82-4732-8753-f589485bb3f5", - "metadata": {}, - "outputs": [], - "source": [ - "fillvalue = -9999.\n", - "\n", - "# `where` does not preserve encoding, so we have to copy first\n", - "encoding = gds.latitude.encoding\n", - "# Apply fillvalue mask\n", - "gds['latitude'] = gds.latitude.where(gds.latitude != fillvalue)\n", - "# we copy the encoding back to DataArray\n", - "gds.latitude.encoding = encoding\n", - "# ...and update encoding to include fillvalue\n", - "gds.latitude.encoding['fillvalue'] = fillvalue\n", - "\n", - "# ...and for longitude\n", - "encoding = gds.longitude.encoding\n", - "gds[\"longitude\"] = gds.longitude.where(gds.longitude != fillvalue)\n", - "gds.longitude.encoding = encoding\n", - "gds.longitude.encoding[\"fillvalue\"] = fillvalue\n", - " " - ] - }, - { - "cell_type": "markdown", - "id": "511b2d12-c6ce-4fc4-b924-d5b3e4b13cf9", - "metadata": {}, - "source": [ - "Now when we check the range of the latitude values, we see that the range is between -83.63... and 83.63... as we expect." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ec868a8e-bf13-4967-bde6-02cc2b07738e", - "metadata": {}, - "outputs": [], - "source": [ - "print(f\"Latitude: Min = {gds.latitude.min().values}, Max = {gds.latitude.max().values}\")\n", - "print(f\"Longitude: Min = {gds.longitude.min().values}, Max = {gds.longitude.max().values}\")" - ] - }, - { - "cell_type": "markdown", - "id": "5acf9bca-d60d-4d34-9618-7d33e7236772", - "metadata": {}, - "source": [ - "Plotting the data again, we see that latitude values are within the expected range but that hasn't solved the missing data problem." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c7d6df08-b03f-465a-bb21-d6a68665fde2", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(3, 1)\n", - "gds.latitude.plot(ax=ax[0]);\n", - "gds.longitude.plot(ax=ax[1]);\n", - "gds.soil_moisture.plot(ax=ax[2])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "efc6edf9-0555-4256-86c7-c6527c9746c7", - "metadata": {}, - "source": [ + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 99MB\n",
+       "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
+       "Dimensions without coordinates: y, x, igbp_class\n",
+       "Data variables: (12/53)\n",
+       "    EASE_column_index            (y, x) float32 2MB ...\n",
+       "    EASE_row_index               (y, x) float32 2MB ...\n",
+       "    albedo                       (y, x) float32 2MB ...\n",
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+       "    ...                           ...\n",
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+       "    vegetation_opacity           (y, x) float32 2MB ...\n",
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" + ], + "text/plain": [ + " Size: 99MB\n", + "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", + "Dimensions without coordinates: y, x, igbp_class\n", + "Data variables: (12/53)\n", + " EASE_column_index (y, x) float32 2MB ...\n", + " EASE_row_index (y, x) float32 2MB ...\n", + " albedo (y, x) float32 2MB ...\n", + " albedo_dca (y, x) float32 2MB ...\n", + " albedo_scah (y, x) float32 2MB ...\n", + " albedo_scav (y, x) float32 2MB ...\n", + " ... ...\n", + " tb_v_uncorrected (y, x) float32 2MB ...\n", + " vegetation_opacity (y, x) float32 2MB ...\n", + " vegetation_opacity_dca (y, x) float32 2MB ...\n", + " vegetation_opacity_scah (y, x) float32 2MB ...\n", + " vegetation_opacity_scav (y, x) float32 2MB ...\n", + " vegetation_water_content (y, x) float32 2MB ..." + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gds = gds.rename_dims({'phony_dim_0': 'y', 'phony_dim_1': 'x', 'phony_dim_2': 'igbp_class'})\n", + "gds" + ] + }, + { + "cell_type": "markdown", + "id": "de673df1-483f-47b0-9e9a-c1aadd711629", + "metadata": {}, + "source": [ + "#### Add coordinate variables\n", + "\n", + "[Coordinate variables](https://cfconventions.org/Data/cf-conventions/cf-conventions-1.11/cf-conventions.html#coordinate-types) locate the data in space and time. Each coordinate variable is a 1-dimensional array associated with a single dimension, usually with the same name as that dimension, and has the same size as that dimensions. Values for coordinate variables give the position of each grid cell within the dataset's coordinate system. Two-dimensional _auxillary coordinates_ are also allowed. These _auxillary coordinates_ need to be related to data variables by including a `coordinates` attribute that lists the _auxillary coordinates_. Coordinate variables are not allowed to have missing values. However, _auxillary coordinates_ can have missing values.\n", + "\n", + "The SMAP data contain 2-dimensional `latitude` and `longitude` grids but data variables do not have a `coordinates` attribute. The data do not contain coordinate variables. Coordinate variables allow efficient subsetting, as well as plotting and transformation. So we need to add `x` and `y` as coordinates. \n", + "\n", + "Because `latitude` and `longitude` are likely coordinate variables, we'll plot them. " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "96f26e1e-2c6d-4f57-bf51-72653e2c76d9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(2, 1)\n", + "gds.latitude.plot(ax=ax[0])\n", + "gds.longitude.plot(ax=ax[1])" + ] + }, + { + "cell_type": "markdown", + "id": "a45a18fd-dc03-42a2-a221-2e77d405ebfb", + "metadata": {}, + "source": [ + "This looks a little strange. Printing minima and maxima for `latitude` and `longitude`, shows that both values are outside of the expected ranges: -90 to 90 for `latitude`, and -180 to 180 or 0 to 360 for `longitude`." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "fe9bc187-b64d-414d-9074-5bc5e33c3774", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Latitude: Min = -9999.0, Max = 83.63197326660156\n", + "Longitude: Min = -9999.0, Max = 179.8132781982422\n" + ] + } + ], + "source": [ + "print(f\"Latitude: Min = {gds.latitude.min().values}, Max = {gds.latitude.max().values}\")\n", + "print(f\"Longitude: Min = {gds.longitude.min().values}, Max = {gds.longitude.max().values}\")" + ] + }, + { + "cell_type": "markdown", + "id": "ba404a65-2dd2-4f1b-a538-40861dfcd199", + "metadata": {}, + "source": [ + "If we plot both latitude and soil_moisture, we can see that latitude values have been masked with -9999. where there are no valid data values. **This is not a good or sensible approach because latitude and longitude are coordinates. As long as latitude and longitude values are between -90 and 90, and -180 and 180 (or 0 and 360), they are valid coordinates. While missing values are allowed for _auxillary coordinates_, coordinate values should not have missing values. We also need coordinates for all grid cells for plotting and other operations.** " + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "18d8326c-fea7-4fb5-a7bc-e38f4bbfdd05", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(2, 1)\n", + "gds.latitude.plot(ax=ax[0]);\n", + "gds.soil_moisture.plot(ax=ax[1])" + ] + }, + { + "cell_type": "markdown", + "id": "43d5222c-82ba-4c58-83b5-0b13c1919ec2", + "metadata": {}, + "source": [ + "Neither the plot of latitude nor the minimum and maximum values look as we would expect. We expect latitude to be in the range of -90 to +90. The maximum is actually in this range but the minimum is -9999., which is suspiciously like a `_FillData` or missing data value. We would also expect the image to show a smooth field that only varies in the vertical direction, e.g. from -90. to 90. or some similar range. Instead it shows a set of lozenges.\n", + "\n", + "Let's set the `_FillValue` attribute for latitude to `-9999`. In `xarray`, we have to use `where` to apply a mask everywhere a condition is not `True`. Here we set the condition to be _not equal to -9999._ To save time and errors later, we also set the `encoding` entry for `fillvalue` to -9999.\n", + "\n", + "
\n", + "`encoding` is a dictionary of parameters that defines how data are \"encoded\" in the file. It includes information about how data are compressed, chunked, the _FillValue, and data type. Saving the `encoding` is not strictly necessary unless you want to write the data to a new file. We'll follow these steps here to demonstrate how to preserve the encoding data. \n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "c65618de-eb3d-4f07-804c-81f0199a3ed4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'chunksizes': (1, 964), 'fletcher32': False, 'shuffle': False, 'preferred_chunks': {'phony_dim_0': 1, 'phony_dim_1': 964}, 'zlib': True, 'complevel': 2, 'source': '/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170301_R18290_001.h5', 'original_shape': (406, 964), 'dtype': dtype('" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(3, 1)\n", + "gds.latitude.plot(ax=ax[0]);\n", + "gds.longitude.plot(ax=ax[1]);\n", + "gds.soil_moisture.plot(ax=ax[2])" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "efc6edf9-0555-4256-86c7-c6527c9746c7", + "metadata": {}, + "source": [ "#### Adding x and y coordinates\n", "\n", "Missing values for latitude and longitude can cause problems for plotting and other operations. As noted above, the files do not include complete information about the coordinate reference system or the grid definition. So we need to do some data sleuthing.\n", @@ -1042,7 +1547,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "id": "78dc5886-d10a-4ca7-b2df-e10ac1de0c8d", "metadata": {}, "outputs": [], @@ -1074,10 +1579,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "id": "feed97dc-b521-4240-9446-8811c8694aeb", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Affine(36032.220840584, 0.0, -17367530.4451615,\n", + " 0.0, -36032.220840584, 7314540.8306386)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "transform = Affine(grid_cell_width, 0.0, x_upper_left_corner, \n", " 0.0, grid_cell_height, y_upper_left_corner)\n", @@ -1094,10 +1611,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "id": "98bd706e-78fc-4cc5-a11a-ff0cb22ca93c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(17367530.445161477, -7314540.830638505)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "transform * (964, 406)" ] @@ -1112,10 +1640,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "id": "4a314543-1a0c-482d-86d3-5905b6b11b2b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_599548/13705710.py:1: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", + " nrows, ncolumns, nclass = gds.dims['y'], gds.dims['x'], gds.dims['igbp_class'] #data_vars['soil_moisture'][1].shape\n" + ] + } + ], "source": [ "nrows, ncolumns, nclass = gds.dims['y'], gds.dims['x'], gds.dims['igbp_class'] #data_vars['soil_moisture'][1].shape\n", "row = np.arange(0.5, nrows)\n", @@ -1136,10 +1673,478 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "id": "4fda308a-6433-4174-b14e-b162a71ae729", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.Dataset> Size: 99MB\n",
+       "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
+       "Coordinates:\n",
+       "  * x                            (x) float64 8kB -1.735e+07 ... 1.735e+07\n",
+       "  * y                            (y) float64 3kB 7.297e+06 ... -7.297e+06\n",
+       "  * igbp_class                   (igbp_class) int64 24B 0 1 2\n",
+       "    wgs84_easegrid2_global       int64 8B 0\n",
+       "Data variables: (12/53)\n",
+       "    EASE_column_index            (y, x) float32 2MB ...\n",
+       "    EASE_row_index               (y, x) float32 2MB ...\n",
+       "    albedo                       (y, x) float32 2MB ...\n",
+       "    albedo_dca                   (y, x) float32 2MB ...\n",
+       "    albedo_scah                  (y, x) float32 2MB ...\n",
+       "    albedo_scav                  (y, x) float32 2MB ...\n",
+       "    ...                           ...\n",
+       "    tb_v_uncorrected             (y, x) float32 2MB ...\n",
+       "    vegetation_opacity           (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_dca       (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_scah      (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_scav      (y, x) float32 2MB ...\n",
+       "    vegetation_water_content     (y, x) float32 2MB ...
" + ], + "text/plain": [ + " Size: 99MB\n", + "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", + "Coordinates:\n", + " * x (x) float64 8kB -1.735e+07 ... 1.735e+07\n", + " * y (y) float64 3kB 7.297e+06 ... -7.297e+06\n", + " * igbp_class (igbp_class) int64 24B 0 1 2\n", + " wgs84_easegrid2_global int64 8B 0\n", + "Data variables: (12/53)\n", + " EASE_column_index (y, x) float32 2MB ...\n", + " EASE_row_index (y, x) float32 2MB ...\n", + " albedo (y, x) float32 2MB ...\n", + " albedo_dca (y, x) float32 2MB ...\n", + " albedo_scah (y, x) float32 2MB ...\n", + " albedo_scav (y, x) float32 2MB ...\n", + " ... ...\n", + " tb_v_uncorrected (y, x) float32 2MB ...\n", + " vegetation_opacity (y, x) float32 2MB ...\n", + " vegetation_opacity_dca (y, x) float32 2MB ...\n", + " vegetation_opacity_scah (y, x) float32 2MB ...\n", + " vegetation_opacity_scav (y, x) float32 2MB ...\n", + " vegetation_water_content (y, x) float32 2MB ..." + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "gds = gds.assign_coords(x=x, y=y, igbp_class=igbp_class)\n", "\n", @@ -1153,10 +2158,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "id": "29cb574a-7f44-4924-b275-0fce25606569", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wgs84_easegrid2_global\n", + "(-17367530.4451615, -7314540.830638505, 17367530.445161473, 7314540.8306386)\n" + ] + } + ], "source": [ "print(gds.latitude.rio.grid_mapping)\n", "print(gds.rio.bounds())" @@ -1164,10 +2178,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "id": "70f54aaa-a1fc-46a2-826d-737bd71aa386", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from pathlib import Path # used for creating paths and listing directory contents\n", "import earthaccess # used for authentication and searching for downloading the data" ] }, @@ -131,8 +138,9 @@ "tags": [] }, "source": [ - "### **Search for SPL3SMP data using spatial and temporal filters**\n", - "We will use the `search_data` method from the `earthaccess` library and the following variabes to search for granules within the SPL3SMP data set:\n", + "### **Search for SPL3SMP data using a temporal filter**\n", + "We will use the `search_data` method from the `earthaccess` library to search for granules in the SPL3SMP data set for March 2017.\n", + "\n", "* `short_name` - this is the data set ID e.g. SPL3SMP. It can be found in the data set title on the data set landing page.\n", "* `version` - data set version number, also included in the data set title.\n", "* `cloud_hosted` - NSIDC is in the process of migrating data sets to the cloud. The data set we are interested is currently still archived on-premises so we will set this to False.\n", @@ -148,8 +156,6 @@ "metadata": {}, "outputs": [], "source": [ - "#Search for SPL3SMP files \n", - "\n", "results = earthaccess.search_data(\n", " short_name = 'SPL3SMP',\n", " version = '008',\n", @@ -236,7 +242,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.15" + "version": "3.10.14" } }, "nbformat": 4, From 7fe1fa6257ba69c845cdd40ac705fa5872794222 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Tue, 25 Feb 2025 16:21:06 -0700 Subject: [PATCH 05/31] update search_data section --- notebooks/SMAP/01_download_smap_data.ipynb | 24 +++++++++++++++------- 1 file changed, 17 insertions(+), 7 deletions(-) diff --git a/notebooks/SMAP/01_download_smap_data.ipynb b/notebooks/SMAP/01_download_smap_data.ipynb index d0f6cd7..1a103b5 100644 --- a/notebooks/SMAP/01_download_smap_data.ipynb +++ b/notebooks/SMAP/01_download_smap_data.ipynb @@ -123,7 +123,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "d47aa955-3d91-4418-85f9-5772f400f712", "metadata": {}, "outputs": [], @@ -141,27 +141,37 @@ "### **Search for SPL3SMP data using a temporal filter**\n", "We will use the `search_data` method from the `earthaccess` library to search for granules in the SPL3SMP data set for March 2017.\n", "\n", + "We use the following search parameters: \n", "* `short_name` - this is the data set ID e.g. SPL3SMP. It can be found in the data set title on the data set landing page.\n", "* `version` - data set version number, also included in the data set title.\n", - "* `cloud_hosted` - NSIDC is in the process of migrating data sets to the cloud. The data set we are interested is currently still archived on-premises so we will set this to False.\n", + "* `cloud_hosted` - SMAP data are available both from NASA Earthdata Cloud on AWS and from the severs on-premises at NSIDC_DAAC. We will access the cloud-hosted version.\n", "* `temporal` - set a temporal filter by specifying a start and end date in the format YYYY-MM-DD. In this tutorial we will look for data for the month of March 2017.\n", "\n", - "It will output the number of granules that meet the search criteria." + "You can find the number of results returned by getting the number of elements in `results` using the `len` function." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "d66e54ff-71dc-422c-9e8a-5b154fa0dbf7", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "31\n" + ] + } + ], "source": [ "results = earthaccess.search_data(\n", " short_name = 'SPL3SMP',\n", - " version = '008',\n", + " version = '009',\n", " cloud_hosted = False,\n", " temporal = ('2017-03-01','2017-03-31')\n", - ")" + ")\n", + "print(f\"Found:len(results))" ] }, { From 55496ddce15475a7588eb762eaa322c34bdfbde9 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Tue, 25 Feb 2025 16:26:54 -0700 Subject: [PATCH 06/31] refactor download path to use Path --- notebooks/SMAP/01_download_smap_data.ipynb | 31 +++++++++++++--------- 1 file changed, 19 insertions(+), 12 deletions(-) diff --git a/notebooks/SMAP/01_download_smap_data.ipynb b/notebooks/SMAP/01_download_smap_data.ipynb index 1a103b5..ebc9eb7 100644 --- a/notebooks/SMAP/01_download_smap_data.ipynb +++ b/notebooks/SMAP/01_download_smap_data.ipynb @@ -152,7 +152,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "d66e54ff-71dc-422c-9e8a-5b154fa0dbf7", "metadata": {}, "outputs": [ @@ -160,7 +160,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "31\n" + "Found: 31\n" ] } ], @@ -171,7 +171,7 @@ " cloud_hosted = False,\n", " temporal = ('2017-03-01','2017-03-31')\n", ")\n", - "print(f\"Found:len(results))" + "print(f\"Found: {len(results)}\")" ] }, { @@ -185,16 +185,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "80d938ed-4fe6-4bff-b71a-cce39e7a9bd4", "metadata": {}, "outputs": [], "source": [ - "this_dir = os.getcwd()\n", - "DATA_DIR = os.path.join(this_dir, 'data/L3_SM_P')\n", - "\n", - "if not os.path.exists(DATA_DIR):\n", - " os.makedirs(DATA_DIR)\n" + "DOWNLOAD_PATH = Path.cwd() / \"data\" / \"L3_SM_P\"\n", + "DOWNLOAD_PATH.mkdir(parents=True, exist_ok=True) # creates parents if they don't exist and fails silently if path exists" ] }, { @@ -207,12 +204,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "467ece65-932a-46e1-9f4c-1b47b628266b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "QUEUEING TASKS | : 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 2450.31it/s]\n", + "PROCESSING TASKS | : 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [01:35<00:00, 3.09s/it]\n", + "COLLECTING RESULTS | : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 138617.72it/s]\n" + ] + } + ], "source": [ - "smap_files = earthaccess.download(results,DATA_DIR)" + "smap_files = earthaccess.download(results,DOWNLOAD_PATH)" ] }, { From 8b27f2bfe73e31428931466b0d0f90c1ea624413 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Tue, 25 Feb 2025 16:31:53 -0700 Subject: [PATCH 07/31] fix typos --- notebooks/SMAP/01_download_smap_data.ipynb | 49 +++++----------------- 1 file changed, 11 insertions(+), 38 deletions(-) diff --git a/notebooks/SMAP/01_download_smap_data.ipynb b/notebooks/SMAP/01_download_smap_data.ipynb index ebc9eb7..808add7 100644 --- a/notebooks/SMAP/01_download_smap_data.ipynb +++ b/notebooks/SMAP/01_download_smap_data.ipynb @@ -21,7 +21,7 @@ "source": [ "## **1. Tutorial Introduction/Overview**\n", "\n", - "We will use the `earthaccess` library to authenticate with our Earthdata Login credentials and to search for and bulk download SMAP data. For this tutorial we wil use SPL3SMP version 008 as an example, but the same method can be applied to any other SMAP data sets archived at NSIDC. \n" + "We will use the `earthaccess` library to authenticate with our Earthdata Login credentials and to search for and bulk download SMAP data. For this tutorial we wil use SPL3SMP version 009 as an example, but the same method can be applied to any other SMAP data sets archived at NSIDC. \n" ] }, { @@ -31,7 +31,7 @@ "source": [ "### **Credits**\n", "\n", - "This tutorial is based on the notebooks originally provided to NSIDC by Adam Purdy. Jennifer Roebuck of NSIDC updated the tutorials to include the latest version of SMAP data and use `earthaccess` for authentication, seatching for and downloading the data in order to incorporate it into the NSIDC-Data-Tutorials repo. \n", + "This tutorial is based on the notebooks originally provided to NSIDC by Adam Purdy. Jennifer Roebuck of NSIDC updated the tutorials to include the latest version of SMAP data and use `earthaccess` for authentication, searching for and downloading the data in order to incorporate it into the NSIDC-Data-Tutorials repo. Andy Barrett refactored the notebook to use `pathlib.Path` and updated the version of the data set used.\n", "\n", "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues)." ] @@ -85,24 +85,15 @@ "metadata": {}, "source": [ "### **Import libraries**\n", - "We need just two libraries, `os` for creating the directory to store the downloaded data in and `earthaccess` to authenticate, search for and download the data. " + "We two libraries, `os` for creating the directory to store the downloaded data in and `earthaccess` to authenticate, search for and download the data. " ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "059690ab-7dff-45c9-816a-6060a191f550", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/apbarret/mambaforge/envs/smap-tutorial/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], + "outputs": [], "source": [ "from pathlib import Path # used for creating paths and listing directory contents\n", "import earthaccess # used for authentication and searching for downloading the data" @@ -123,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "d47aa955-3d91-4418-85f9-5772f400f712", "metadata": {}, "outputs": [], @@ -152,18 +143,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "d66e54ff-71dc-422c-9e8a-5b154fa0dbf7", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found: 31\n" - ] - } - ], + "outputs": [], "source": [ "results = earthaccess.search_data(\n", " short_name = 'SPL3SMP',\n", @@ -185,7 +168,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "80d938ed-4fe6-4bff-b71a-cce39e7a9bd4", "metadata": {}, "outputs": [], @@ -204,20 +187,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "467ece65-932a-46e1-9f4c-1b47b628266b", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "QUEUEING TASKS | : 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 2450.31it/s]\n", - "PROCESSING TASKS | : 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [01:35<00:00, 3.09s/it]\n", - "COLLECTING RESULTS | : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 138617.72it/s]\n" - ] - } - ], + "outputs": [], "source": [ "smap_files = earthaccess.download(results,DOWNLOAD_PATH)" ] From 2b455e2ccaa87d4643cfcf613fcd6e5944542bd1 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Tue, 25 Feb 2025 16:34:38 -0700 Subject: [PATCH 08/31] update download path, clear outputs --- notebooks/SMAP/smap_as_datatree.ipynb | 48613 +----------------------- 1 file changed, 15 insertions(+), 48598 deletions(-) diff --git a/notebooks/SMAP/smap_as_datatree.ipynb b/notebooks/SMAP/smap_as_datatree.ipynb index 0dba4c2..1780304 100644 --- a/notebooks/SMAP/smap_as_datatree.ipynb +++ b/notebooks/SMAP/smap_as_datatree.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "3cf68262-b0d5-4601-bc52-7aa3c68670aa", "metadata": {}, "outputs": [], @@ -28,12 +28,12 @@ "import matplotlib.pyplot as plt\n", "import cartopy.crs as ccrs\n", "\n", - "DATAPATH = Path(\"smap_data\")" + "DATAPATH = Path(\"data/L3_SM_P\")" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "4f43e868-aeb1-499d-8db9-54eec5a6791d", "metadata": {}, "outputs": [], @@ -55,16132 +55,12 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "f3f729bc-41df-4420-9e2e-b7f8467364d5", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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\n", + "\n", + "\n", + "# 2.0 Read and Plot SMAP data using `xarray.DataTree`\n", + "\n", + "
\n", + "---" + ] + }, { "cell_type": "markdown", "id": "3e5b1d2e-04df-40f1-a9f8-f4fb48e32656", "metadata": {}, "source": [ - "# Open SMAP L3 HDF5 files as `xarray.DataTree`" + "## 1. Overview \n", + "In this tutorial, we will read the SMAP data we downloaded in 1.0 Download SMAP data notebook, read the data into an `xarray.DataTree`, create a map of soil moisture and plot a time-series soil moisture for a location on Earth." + ] + }, + { + "cell_type": "markdown", + "id": "6060c844-782d-4510-b643-0b78273f069d", + "metadata": {}, + "source": [ + "### **Credits**\n", + "\n", + "This tutorial is based on the notebooks originally provided to NSIDC by Adam Purdy. Jennifer Roebuck of NSIDC updated the tutorials to include the latest version of SMAP data and use earthaccess for authentication, seatching for and downloading the data in order to incorporate it into the NSIDC-Data-Tutorials repo. \n", + "\n", + "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues)." + ] + }, + { + "cell_type": "markdown", + "id": "56a6afe4-c559-412e-86bc-3f9530dc3d36", + "metadata": {}, + "source": [ + "### **Learning Goals**\n", + "\n", + "1. Read in SMAP data and navigate the metadata\n", + "2. Create a map with SMAP data\n", + "3. Plot a time-series at a location on Earth. " + ] + }, + { + "cell_type": "markdown", + "id": "c275f5c7-fa1b-4423-9967-03f46344ade0", + "metadata": {}, + "source": [ + "### **Prerequisites**\n", + "\n", + "1. The nsidc-tutorials environment is set up and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n", + "2. SMAP data that were downloaded in the previous notebook tutorial 1.0 Download SMAP data. \n", + "3. The EASE-Grid 2.0 longitude and latitude data sets. The binary format of these files have been provided within this repo for use in this tutorial, but please note they are also available in NetCDF format from the NSIDC website at this [page](https://nsidc.org/data/NSIDC-0772/versions/1). \n" + ] + }, + { + "cell_type": "markdown", + "id": "a0b23d36-8b5a-4bcf-b8a7-5dbc235853bf", + "metadata": {}, + "source": [ + "### **Time requirement**\n", + "\n", + "Allow 15 to 20 minutes to complete this tutorial." ] }, { From 78a4bc4213a8ad476d22bffce0ac0d449ca4c521 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Tue, 25 Feb 2025 16:57:52 -0700 Subject: [PATCH 10/31] add some more rubric --- notebooks/SMAP/smap_as_datatree.ipynb | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/notebooks/SMAP/smap_as_datatree.ipynb b/notebooks/SMAP/smap_as_datatree.ipynb index 60cc0b1..52d76ee 100644 --- a/notebooks/SMAP/smap_as_datatree.ipynb +++ b/notebooks/SMAP/smap_as_datatree.ipynb @@ -20,7 +20,9 @@ "metadata": {}, "source": [ "## 1. Overview \n", - "In this tutorial, we will read the SMAP data we downloaded in 1.0 Download SMAP data notebook, read the data into an `xarray.DataTree`, create a map of soil moisture and plot a time-series soil moisture for a location on Earth." + "In this tutorial, we will read the SMAP data we downloaded in 1.0 Download SMAP data notebook, read the data into an `xarray.DataTree`, create a map of soil moisture and plot a time-series soil moisture for a location on Earth.\n", + "\n", + "`xarray.DataTree` was created to work with hierachical datasets. Hierachical datasets are those datasets that use tree-like, nested, directory structures to group and store complex data. The SMAP Level-3 is a relatively simple hierachical data structure, with only two groups; one group for data from AM satellite overpasses and one group for data from PM satellite overpasses. To make working with this data easy, we also add meaningful names for the dimensions of the data and geospatial coordinates. " ] }, { From e4fe768bb6834dfbf8152c471cf50bf942fe2db4 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Tue, 25 Feb 2025 17:00:15 -0700 Subject: [PATCH 11/31] add headings for tutorial section --- notebooks/SMAP/smap_as_datatree.ipynb | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/notebooks/SMAP/smap_as_datatree.ipynb b/notebooks/SMAP/smap_as_datatree.ipynb index 52d76ee..a825a46 100644 --- a/notebooks/SMAP/smap_as_datatree.ipynb +++ b/notebooks/SMAP/smap_as_datatree.ipynb @@ -71,6 +71,24 @@ "Allow 15 to 20 minutes to complete this tutorial." ] }, + { + "cell_type": "markdown", + "id": "e7eb2e5f-39e1-4bad-8fc2-65984e8527ce", + "metadata": {}, + "source": [ + "## 2. Tutorial steps" + ] + }, + { + "cell_type": "markdown", + "id": "3b14efdc-c8d6-4831-93a3-0ab7d8f9a491", + "metadata": {}, + "source": [ + "### Import libraries\n", + "\n", + "As with all Python code, we need to import some libraries to read the data, add coordinates and plot " + ] + }, { "cell_type": "code", "execution_count": null, From 408e4adef13fa29935b12bb460172f34e116a6c7 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Tue, 25 Feb 2025 17:08:27 -0700 Subject: [PATCH 12/31] add heading for get files --- notebooks/SMAP/smap_as_datatree.ipynb | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/notebooks/SMAP/smap_as_datatree.ipynb b/notebooks/SMAP/smap_as_datatree.ipynb index a825a46..354c1fb 100644 --- a/notebooks/SMAP/smap_as_datatree.ipynb +++ b/notebooks/SMAP/smap_as_datatree.ipynb @@ -86,7 +86,7 @@ "source": [ "### Import libraries\n", "\n", - "As with all Python code, we need to import some libraries to read the data, add coordinates and plot " + "As with all Python code, we need to import some libraries to read the data, add coordinates and plot the data." ] }, { @@ -112,6 +112,14 @@ "DATAPATH = Path(\"data/L3_SM_P\")" ] }, + { + "cell_type": "markdown", + "id": "672a11e2-7fef-4ac6-9809-c0ed276bf3ee", + "metadata": {}, + "source": [ + "### Get a list of HDF5 files in the data directory" + ] + }, { "cell_type": "code", "execution_count": null, @@ -127,9 +135,9 @@ "id": "403ba053-0e4e-412d-9513-3dccf4941ec3", "metadata": {}, "source": [ - "## Load a data file into an `xarray.DataTree` object\n", + "### Load a data file into an `xarray.DataTree` object\n", "\n", - "`xarray.DataTree` objects allow us to work with hierachical data structures and file formats such as HDF5, Zarr and NetCDF4 with groups. The SMAP level 2 files are hierachical data structures.\n", + "`xarray.DataTree` objects allow us to work with hierachical data structures and file formats such as HDF5, Zarr and NetCDF4 with groups. The SMAP level 3 files are hierachical data structures.\n", "\n", "We use `xr.open_datatree` to open a SMAP HDF5 file. We add the `phony_dims=\"sort\"` because data variables in the SMAP files do not have any assigned dimension scales. `xarray` names dimensions `phony_dim0`, `phony_dim1`, etc." ] From 05ea1cda31355adaf2f7b749f8106b21ee433bbf Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Tue, 25 Feb 2025 17:16:42 -0700 Subject: [PATCH 13/31] add explanitory text --- notebooks/SMAP/smap_as_datatree.ipynb | 32318 +++++++++++++++++++++++- 1 file changed, 32309 insertions(+), 9 deletions(-) diff --git a/notebooks/SMAP/smap_as_datatree.ipynb b/notebooks/SMAP/smap_as_datatree.ipynb index 354c1fb..099338d 100644 --- a/notebooks/SMAP/smap_as_datatree.ipynb +++ b/notebooks/SMAP/smap_as_datatree.ipynb @@ -91,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "3cf68262-b0d5-4601-bc52-7aa3c68670aa", "metadata": {}, "outputs": [], @@ -122,7 +122,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "4f43e868-aeb1-499d-8db9-54eec5a6791d", "metadata": {}, "outputs": [], @@ -144,10 +144,16130 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "f3f729bc-41df-4420-9e2e-b7f8467364d5", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "    vegetation_opacity_scav_pm      (y, x) float32 2MB ...\n",
+       "    vegetation_water_content_pm     (y, x) float32 2MB ...
" + ], + "text/plain": [ + "\n", + "Group: /\n", + "│ Dimensions: (y: 406, x: 964, igbp_class: 3)\n", + "│ Dimensions without coordinates: y, x, igbp_class\n", + "│ Data variables: (12/106)\n", + "│ EASE_column_index (y, x) float32 2MB ...\n", + "│ EASE_row_index (y, x) float32 2MB ...\n", + "│ albedo (y, x) float32 2MB ...\n", + "│ albedo_dca (y, x) float32 2MB ...\n", + "│ albedo_scah (y, x) float32 2MB ...\n", + "│ albedo_scav (y, x) float32 2MB ...\n", + "│ ... ...\n", + "│ tb_v_uncorrected_pm (y, x) float32 2MB ...\n", + "│ vegetation_opacity_dca_pm (y, x) float32 2MB ...\n", + "│ vegetation_opacity_pm (y, x) float32 2MB ...\n", + "│ vegetation_opacity_scah_pm (y, x) float32 2MB ...\n", + "│ vegetation_opacity_scav_pm (y, x) float32 2MB ...\n", + "│ vegetation_water_content_pm (y, x) float32 2MB ...\n", + "├── Group: /Metadata\n", + "│ │ Attributes:\n", + "│ │ iso_19139_dataset_xml: \\n Date: Wed, 26 Feb 2025 10:14:15 -0700 Subject: [PATCH 14/31] add dask --- notebooks/SMAP/environment/environment.yml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/notebooks/SMAP/environment/environment.yml b/notebooks/SMAP/environment/environment.yml index 6688db2..5f09e75 100644 --- a/notebooks/SMAP/environment/environment.yml +++ b/notebooks/SMAP/environment/environment.yml @@ -9,6 +9,11 @@ dependencies: - xarray - rioxarray - h5netcdf +- dask +#- netcdf4=1.6.2 +#- numpy=1.23.5 +#- matplotlib-base>=3.5 + - matplotlib - cartopy - affine From f431de694abd24b0ab096412781aba156fd37eaa Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 26 Feb 2025 14:50:03 -0700 Subject: [PATCH 15/31] add dask, pin numpy for shapely fix and remove unnecessary packages --- notebooks/SMAP/environment/environment.yml | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/notebooks/SMAP/environment/environment.yml b/notebooks/SMAP/environment/environment.yml index 5f09e75..a2e44b0 100644 --- a/notebooks/SMAP/environment/environment.yml +++ b/notebooks/SMAP/environment/environment.yml @@ -10,13 +10,16 @@ dependencies: - rioxarray - h5netcdf - dask -#- netcdf4=1.6.2 -#- numpy=1.23.5 -#- matplotlib-base>=3.5 - - matplotlib - cartopy - affine +- numpy<2.1 + +#- vaex +#- jupyter-offlinenotebook +#- sidecar +#- geoviews + - pipreqsnb - conda-lock>=1.2.1 - mamba>=1.0 From d3eb386aa6a6da4f46d635499b76aa6cea0c930b Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 26 Feb 2025 14:53:23 -0700 Subject: [PATCH 16/31] add data cube load, plot mean and time series --- notebooks/SMAP/smap_as_datatree.ipynb | 19748 +++++++++++++++++++++++- 1 file changed, 19410 insertions(+), 338 deletions(-) diff --git a/notebooks/SMAP/smap_as_datatree.ipynb b/notebooks/SMAP/smap_as_datatree.ipynb index 099338d..6a734d7 100644 --- a/notebooks/SMAP/smap_as_datatree.ipynb +++ b/notebooks/SMAP/smap_as_datatree.ipynb @@ -91,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "id": "3cf68262-b0d5-4601-bc52-7aa3c68670aa", "metadata": {}, "outputs": [], @@ -99,6 +99,7 @@ "# For opening the data\n", "from pathlib import Path\n", "import xarray as xr\n", + "import datetime\n", "\n", "# For adding coordinates\n", "import numpy as np\n", @@ -122,12 +123,12 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "id": "4f43e868-aeb1-499d-8db9-54eec5a6791d", "metadata": {}, "outputs": [], "source": [ - "filelist = list(DATAPATH.glob(\"*.h5\"))" + "filelist = sorted(list(DATAPATH.glob(\"*.h5\")))" ] }, { @@ -144,7 +145,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "id": "f3f729bc-41df-4420-9e2e-b7f8467364d5", "metadata": {}, "outputs": [ @@ -524,7 +525,7 @@ "
<xarray.DatasetView> Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*
          • " ], "text/plain": [ "\n", @@ -16039,7 +16040,7 @@ "├── Group: /Metadata\n", "│ │ Attributes:\n", "│ │ iso_19139_dataset_xml: \\n
          • y: 406
          • x: 964
          • igbp_class: 3
              • EASE_column_index
                (y, x)
                float32
                ...
                long_name :
                The column index of the 36 km EASE grid cell that contains the associated data.
                valid_max :
                963
                valid_min :
                0
                [391384 values with dtype=float32]
              • EASE_row_index
                (y, x)
                float32
                ...
                long_name :
                The row index of the 36 km EASE grid cell that contains the associated data.
                valid_max :
                405
                valid_min :
                0
                [391384 values with dtype=float32]
              • albedo
                (y, x)
                float32
                ...
                long_name :
                Diffuse reflecting power of the Earth&apos;s surface used in DCA within the grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • albedo_dca
                (y, x)
                float32
                ...
                long_name :
                Diffuse reflecting power of the Earth&apos;s surface used in DCA within the grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • albedo_scah
                (y, x)
                float32
                ...
                long_name :
                Diffuse reflecting power of the Earth&apos;s surface used in SCA-H within the grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • albedo_scav
                (y, x)
                float32
                ...
                long_name :
                Diffuse reflecting power of the Earth&apos;s surface used in SCA-V within the grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • boresight_incidence
                (y, x)
                float32
                ...
                long_name :
                Representative angle between the antenna boresight vector and the normal to the Earth&apos;s surface for all footprints within the cell.
                units :
                degrees
                valid_max :
                90.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • bulk_density
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of aggregated bulk_density within the 36 km grid cell.
                valid_max :
                2.65
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • clay_fraction
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of aggregated clay fraction within the 36 km grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • freeze_thaw_fraction
                (y, x)
                float32
                ...
                long_name :
                Fraction of the 36 km grid cell that is denoted as frozen. Based on binary flag that specifies freeze thaw conditions in each of the component 3 km grid cells.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • grid_surface_status
                (y, x)
                float32
                ...
                long_name :
                Indicates if the grid point lies on land (0) or water (1).
                valid_max :
                1
                valid_min :
                0
                [391384 values with dtype=float32]
              • landcover_class
                (y, x, igbp_class)
                float32
                ...
                long_name :
                An enumerated type that specifies the most common landcover class in the grid cell based on the IGBP landcover map. The array order is longitude (ascending), followed by latitude (descending), and followed by IGBP land cover type descending dominance (only the first three types are listed)
                [1174152 values with dtype=float32]
              • landcover_class_fraction
                (y, x, igbp_class)
                float32
                ...
                long_name :
                The fraction of the grid cell that contains the most common land cover in that area based on the IGBP landcover map.
                valid_max :
                1.0
                valid_min :
                0.0
                [1174152 values with dtype=float32]
              • latitude
                (y, x)
                float32
                ...
                long_name :
                Latitude of the center of the Earth based grid cell.
                units :
                degrees_north
                [391384 values with dtype=float32]
              • latitude_centroid
                (y, x)
                float32
                ...
                long_name :
                Weighted average of the latitude of the center of the brightness temperature footprints that fall within the EASE grid cell.
                units :
                degrees
                valid_max :
                90.0
                valid_min :
                -90.0
                [391384 values with dtype=float32]
              • longitude
                (y, x)
                float32
                ...
                long_name :
                Longitude of the center of the Earth based grid cell.
                units :
                degrees_east
                [391384 values with dtype=float32]
              • longitude_centroid
                (y, x)
                float32
                ...
                long_name :
                Weighted average of the longitude of the center of the brightness temperature footprints that fall within the EASE grid cell.
                units :
                degrees
                valid_max :
                179.999
                valid_min :
                -180.0
                [391384 values with dtype=float32]
              • radar_water_body_fraction
                (y, x)
                float32
                ...
                long_name :
                The fraction of the area of the 36 km grid cell that is covered by water based on the radar detection algorithm.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • retrieval_qual_flag
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s
                flag_meanings :
                Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
                long_name :
                Bit flags that record the conditions and the quality of the DCA retrieval algorithms that generate soil moisture for the grid cell.
                [391384 values with dtype=float32]
              • retrieval_qual_flag_dca
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s
                flag_meanings :
                Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
                long_name :
                Bit flags that record the conditions and the quality of the DCA retrieval algorithms that generate soil moisture for the grid cell.
                [391384 values with dtype=float32]
              • retrieval_qual_flag_scah
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s
                flag_meanings :
                Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
                long_name :
                Bit flags that record the conditions and the quality of the SCA-H retrieval algorithms that generate soil moisture for the grid cell.
                [391384 values with dtype=float32]
              • retrieval_qual_flag_scav
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s
                flag_meanings :
                Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
                long_name :
                Bit flags that record the conditions and the quality of the SCA-V retrieval algorithms that generate soil moisture for the grid cell.
                [391384 values with dtype=float32]
              • roughness_coefficient
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of bare soil roughness used in DCA within the 36 km grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • roughness_coefficient_dca
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of bare soil roughness used in DCA within the 36 km grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • roughness_coefficient_scah
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of bare soil roughness used in SCA-H within the 36 km grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • roughness_coefficient_scav
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of bare soil roughness used in SCA-V within the 36 km grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • soil_moisture
                (y, x)
                float32
                ...
                long_name :
                Representative DCA soil moisture measurement for the Earth based grid cell.
                units :
                cm**3/cm**3
                valid_max :
                0.5
                valid_min :
                0.02
                [391384 values with dtype=float32]
              • soil_moisture_dca
                (y, x)
                float32
                ...
                long_name :
                Representative DCA soil moisture measurement for the Earth based grid cell.
                units :
                cm**3/cm**3
                valid_max :
                0.5
                valid_min :
                0.02
                [391384 values with dtype=float32]
              • soil_moisture_error
                (y, x)
                float32
                ...
                long_name :
                Net uncertainty measure of soil moisture measure for the Earth based grid cell. - Calculation method is TBD.
                units :
                cm**3/cm**3
                valid_max :
                0.2
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • soil_moisture_scah
                (y, x)
                float32
                ...
                long_name :
                Representative SCA-H soil moisture measurement for the Earth based grid cell.
                units :
                cm**3/cm**3
                valid_max :
                0.5
                valid_min :
                0.02
                [391384 values with dtype=float32]
              • soil_moisture_scav
                (y, x)
                float32
                ...
                long_name :
                Representative SCA-V soil moisture measurement for the Earth based grid cell.
                units :
                cm**3/cm**3
                valid_max :
                0.5
                valid_min :
                0.02
                [391384 values with dtype=float32]
              • static_water_body_fraction
                (y, x)
                float32
                ...
                long_name :
                The fraction of the area of the 36 km grid cell that is covered by static water based on a Digital Elevation Map.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • surface_flag
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 2048s
                flag_meanings :
                36_km_static_water_body 36_km_radar_water_body_detection 36_km_coastal_proximity 36_km_urban_area 36_km_precipitation 36_km_snow_or_ice 36_km_permanent_snow_or_ice 36_km_radiometer_frozen_ground 36_km_model_frozen_ground 36_km_mountainous_terrain 36_km_dense_vegetation 36_km_nadir_region
                long_name :
                Bit flags that record ambient surface conditions for the grid cell
                [391384 values with dtype=float32]
              • surface_temperature
                (y, x)
                float32
                ...
                long_name :
                Temperature at land surface based on GMAO GEOS-5 data.
                units :
                Kelvins
                valid_max :
                350.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • surface_water_fraction_mb_h
                (y, x)
                float32
                ...
                long_name :
                Gain weighted fraction of static water within the radiometer horizontal polarization brightness temperature antenna pattern in 36 km Earth grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • surface_water_fraction_mb_v
                (y, x)
                float32
                ...
                long_name :
                Gain weighted fraction of static water within the radiometer vertical polarization brightness temperature antenna pattern in 36 km Earth grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_3_corrected
                (y, x)
                float32
                ...
                long_name :
                Third stokes parameter for each 36 km grid cell calculated with an adjustment for the presence of water bodies
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_4_corrected
                (y, x)
                float32
                ...
                long_name :
                Fourth stokes parameter for each 36 km grid cell calculated with an adjustment for the presence of water bodies
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_h_corrected
                (y, x)
                float32
                ...
                long_name :
                Horizontal polarization brightness temperature in 36 km Earth grid cell adjusted for the presence of water bodies.
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_h_uncorrected
                (y, x)
                float32
                ...
                long_name :
                Horizontal polarization brightness temperature in 36 km Earth grid cell before adjustment for the presence of water bodies.
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_qual_flag_3
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 4096s, 16384s, 32768s
                flag_meanings :
                3rd_Stokes_quality 3rd_Stokes_range 3rd_Stokes_RFI_detection 3rd_Stokes_RFI_correction 3rd_Stokes_NEDT 3rd_Stokes_direct_sun_correction 3rd_Stokes_reflected_sun_correction 3rd_Stokes_reflected_moon_correction 3rd_Stokes_direct_galaxy_correction 3rd_Stokes_reflected_galaxy_correction 3rd_Stokes_atmosphere_correction 3rd_Stokes_null_value_bit 3rd_Stokes_RFI_check 3rd_Stokes_RFI_clean
                long_name :
                Bit flags that represent the quality of the 3rd Stokes brightness temperature within each grid cell
                [391384 values with dtype=float32]
              • tb_qual_flag_4
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 4096s, 16384s, 32768s
                flag_meanings :
                4th_Stokes_quality 4th_Stokes_range 4th_Stokes_RFI_detection 4th_Stokes_RFI_correction 4th_Stokes_NEDT 4th_Stokes_direct_sun_correction 4th_Stokes_reflected_sun_correction 4th_Stokes_reflected_moon_correction 4th_Stokes_direct_galaxy_correction 4th_Stokes_reflected_galaxy_correction 4th_Stokes_atmosphere_correction 4th_Stokes_null_value_bit 4th_Stokes_RFI_check 4th_Stokes_RFI_clean
                long_name :
                Bit flags that represent the quality of the 4th Stokes brightness temperature within each grid cell
                [391384 values with dtype=float32]
              • tb_qual_flag_h
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 2048s, 4096s, 8192s, 16384s, 32768s
                flag_meanings :
                Horizontal_polarization_quality Horizontal_polarization_range Horizontal_polarization_RFI_detection Horizontal_polarization_RFI_correction Horizontal_polarization_NEDT Horizontal_polarization_direct_sun_correction Horizontal_polarization_reflected_sun_correction Horizontal_polarization_reflected_moon_correction Horizontal_polarization_direct_galaxy_correction Horizontal_polarization_reflected_galaxy_correction Horizontal_polarization_atmosphere_correction Horizontal_polarization_Faraday_rotation_correction Horizontal_polarization_null_value_bit Horizontal_polarization_water_correction Horizontal_polarization_RFI_check Horizontal_polarization_RFI_clean
                long_name :
                Bit flags that represent the quality of the horizontal polarization brightness temperature within each grid cell
                [391384 values with dtype=float32]
              • tb_qual_flag_v
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 2048s, 4096s, 8192s, 16384s, 32768s
                flag_meanings :
                Vertical_polarization_quality Vertical_polarization_range Vertical_polarization_RFI_detection Vertical_polarization_RFI_correction Vertical_polarization_NEDT Vertical_polarization_direct_sun_correction Vertical_polarization_reflected_sun_correction Vertical_polarization_reflected_moon_correction Vertical_polarization_direct_galaxy_correction Vertical_polarization_reflected_galaxy_correction Vertical_polarization_atmosphere_correction Vertical_polarization_Faraday_rotation_correction Vertical_polarization_null_value_bit Vertical_polarization_water_correction Vertical_polarization_RFI_check Vertical_polarization_RFI_clean
                long_name :
                Bit flags that represent the quality of the vertical polarization brightness temperature within each grid cell
                [391384 values with dtype=float32]
              • tb_time_seconds
                (y, x)
                float64
                ...
                long_name :
                Arithmetic average of the acquisition time of all of the brightness temperature footprints with a center that falls within the EASE grid cell in seconds since noon on January 1, 2000 UTC.
                units :
                seconds
                valid_max :
                940000000.0
                valid_min :
                -999999.9
                [391384 values with dtype=float64]
              • tb_time_utc
                (y, x)
                |S24
                ...
                long_name :
                Arithmetic average of the acquisition time of all of the brightness temperature footprints with a center that falls within the EASE grid cell in UTC.
                [391384 values with dtype=|S24]
              • tb_v_corrected
                (y, x)
                float32
                ...
                long_name :
                Vertical polarization brightness temperature in 36 km Earth grid cell adjusted for the presence of water bodies.
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_v_uncorrected
                (y, x)
                float32
                ...
                long_name :
                Vertical polarization brightness temperature in 36 km Earth grid cell before adjustment for the presence of water bodies.
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • vegetation_opacity
                (y, x)
                float32
                ...
                long_name :
                The measured opacity of the vegetation used in the DCA retrieval in the grid cell.
                valid_max :
                999999.9
                valid_min :
                -999999.9
                [391384 values with dtype=float32]
              • vegetation_opacity_dca
                (y, x)
                float32
                ...
                long_name :
                The measured opacity of the vegetation used in the DCA retrieval in the grid cell.
                valid_max :
                999999.9
                valid_min :
                -999999.9
                [391384 values with dtype=float32]
              • vegetation_opacity_scah
                (y, x)
                float32
                ...
                long_name :
                The measured opacity of the vegetation used in the SCA-H retrieval in the grid cell.
                valid_max :
                999999.9
                valid_min :
                -999999.9
                [391384 values with dtype=float32]
              • vegetation_opacity_scav
                (y, x)
                float32
                ...
                long_name :
                The measured opacity of the vegetation used in the SCA-V retrieval in the grid cell.
                valid_max :
                999999.9
                valid_min :
                -999999.9
                [391384 values with dtype=float32]
              • vegetation_water_content
                (y, x)
                float32
                ...
                long_name :
                Representative measure of water in the vegetation within the 36 km grid cell.
                units :
                kg/m**2
                valid_max :
                20.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • EASE_column_index_pm
                (y, x)
                float32
                ...
                long_name :
                The column index of the 36 km EASE grid cell that contains the associated data.
                valid_max :
                963
                valid_min :
                0
                [391384 values with dtype=float32]
              • EASE_row_index_pm
                (y, x)
                float32
                ...
                long_name :
                The row index of the 36 km EASE grid cell that contains the associated data.
                valid_max :
                405
                valid_min :
                0
                [391384 values with dtype=float32]
              • albedo_dca_pm
                (y, x)
                float32
                ...
                long_name :
                Diffuse reflecting power of the Earth&apos;s surface used in DCA retrievals within the grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • albedo_pm
                (y, x)
                float32
                ...
                long_name :
                Diffuse reflecting power of the Earth&apos;s surface used in DCA retrievals within the grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • albedo_scah_pm
                (y, x)
                float32
                ...
                long_name :
                Diffuse reflecting power of the Earth&apos;s surface used in SCA-H retrievals within the grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • albedo_scav_pm
                (y, x)
                float32
                ...
                long_name :
                Diffuse reflecting power of the Earth&apos;s surface used in SCA-V retrievals within the grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • boresight_incidence_pm
                (y, x)
                float32
                ...
                long_name :
                Representative angle between the antenna boresight vector and the normal to the Earth&apos;s surface for all footprints within the cell.
                units :
                degrees
                valid_max :
                90.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • bulk_density_pm
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of aggregated bulk density within the 36 km grid cell.
                valid_max :
                2.65
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • clay_fraction_pm
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of aggregated clay fraction within the 36 km grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • freeze_thaw_fraction_pm
                (y, x)
                float32
                ...
                long_name :
                Fraction of the 36 km grid cell that is denoted as frozen. Based on binary flag that specifies freeze thaw conditions in each of the component 3 km grid cells.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • grid_surface_status_pm
                (y, x)
                float32
                ...
                long_name :
                Indicates if the grid point lies on land (0) or water (1).
                valid_max :
                1
                valid_min :
                0
                [391384 values with dtype=float32]
              • landcover_class_fraction_pm
                (y, x, igbp_class)
                float32
                ...
                long_name :
                The fraction of the grid cell that contains the most common land cover in that area based on the IGBP landcover map.
                valid_max :
                1.0
                valid_min :
                0.0
                [1174152 values with dtype=float32]
              • landcover_class_pm
                (y, x, igbp_class)
                float32
                ...
                long_name :
                An enumerated type that specifies the most common landcover class in the grid cell based on the IGBP landcover map. The array order is longitude (ascending), followed by latitude (descending), and followed by IGBP land cover type descending dominance (only the first three types are listed)
                [1174152 values with dtype=float32]
              • latitude_centroid_pm
                (y, x)
                float32
                ...
                long_name :
                Weighted average of the latitude of the center of the brightness temperature footprints that fall within the EASE grid cell.
                units :
                degrees
                valid_max :
                90.0
                valid_min :
                -90.0
                [391384 values with dtype=float32]
              • latitude_pm
                (y, x)
                float32
                ...
                long_name :
                Latitude of the center of the Earth based grid cell.
                units :
                degrees_north
                valid_max :
                90.0
                valid_min :
                -90.0
                [391384 values with dtype=float32]
              • longitude_centroid_pm
                (y, x)
                float32
                ...
                long_name :
                Weighted average of the longitude of the center of the brightness temperature footprints that fall within the EASE grid cell.
                units :
                degrees
                valid_max :
                179.999
                valid_min :
                -180.0
                [391384 values with dtype=float32]
              • longitude_pm
                (y, x)
                float32
                ...
                long_name :
                Longitude of the center of the Earth based grid cell.
                units :
                degrees_east
                valid_max :
                179.999
                valid_min :
                -180.0
                [391384 values with dtype=float32]
              • radar_water_body_fraction_pm
                (y, x)
                float32
                ...
                long_name :
                The fraction of the area of the 36 km grid cell that is covered by water based on the radar detection algorithm.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • retrieval_qual_flag_dca_pm
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s
                flag_meanings :
                Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
                long_name :
                Bit flags that record the conditions and the quality of the DCA retrieval algorithms that generate soil moisture for the grid cell.
                [391384 values with dtype=float32]
              • retrieval_qual_flag_pm
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s
                flag_meanings :
                Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
                long_name :
                Bit flags that record the conditions and the quality of the DCA retrieval algorithms that generate soil moisture for the grid cell.
                [391384 values with dtype=float32]
              • retrieval_qual_flag_scah_pm
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s
                flag_meanings :
                Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
                long_name :
                Bit flags that record the conditions and the quality of the SCA-H retrieval algorithms that generate soil moisture for the grid cell.
                [391384 values with dtype=float32]
              • retrieval_qual_flag_scav_pm
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s
                flag_meanings :
                Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
                long_name :
                Bit flags that record the conditions and the quality of the SCA-V retrieval algorithms that generate soil moisture for the grid cell.
                [391384 values with dtype=float32]
              • roughness_coefficient_dca_pm
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of bare soil roughness used in DCA retrievals within the 36 km grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • roughness_coefficient_pm
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of bare soil roughness used in DCA retrievals within the 36 km grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • roughness_coefficient_scah_pm
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of bare soil roughness used in SCA-H retrievals within the 36 km grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • roughness_coefficient_scav_pm
                (y, x)
                float32
                ...
                long_name :
                A unitless value that is indicative of bare soil roughness used in SCA-V retrievals within the 36 km grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • soil_moisture_dca_pm
                (y, x)
                float32
                ...
                long_name :
                Representative DCA soil moisture measurement for the Earth based grid cell.
                units :
                cm**3/cm**3
                valid_max :
                0.5
                valid_min :
                0.02
                [391384 values with dtype=float32]
              • soil_moisture_error_pm
                (y, x)
                float32
                ...
                long_name :
                Net uncertainty measure of soil moisture measure for the Earth based grid cell. - Calculation method is TBD.
                units :
                cm**3/cm**3
                valid_max :
                0.2
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • soil_moisture_pm
                (y, x)
                float32
                ...
                long_name :
                Representative DCA soil moisture measurement for the Earth based grid cell.
                units :
                cm**3/cm**3
                valid_max :
                0.5
                valid_min :
                0.02
                [391384 values with dtype=float32]
              • soil_moisture_scah_pm
                (y, x)
                float32
                ...
                long_name :
                Representative SCA-H soil moisture measurement for the Earth based grid cell.
                units :
                cm**3/cm**3
                valid_max :
                0.5
                valid_min :
                0.02
                [391384 values with dtype=float32]
              • soil_moisture_scav_pm
                (y, x)
                float32
                ...
                long_name :
                Representative SCA-V soil moisture measurement for the Earth based grid cell.
                units :
                cm**3/cm**3
                valid_max :
                0.5
                valid_min :
                0.02
                [391384 values with dtype=float32]
              • static_water_body_fraction_pm
                (y, x)
                float32
                ...
                long_name :
                The fraction of the area of the 36 km grid cell that is covered by static water based on a Digital Elevation Map.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • surface_flag_pm
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 2048s
                flag_meanings :
                36_km_static_water_body 36_km_radar_water_body_detection 36_km_coastal_proximity 36_km_urban_area 36_km_precipitation 36_km_snow_or_ice 36_km_permanent_snow_or_ice 36_km_radar_frozen_ground 36_km_model_frozen_ground 36_km_mountainous_terrain 36_km_dense_vegetation 36_km_nadir_region
                long_name :
                Bit flags that record ambient surface conditions for the grid cell
                [391384 values with dtype=float32]
              • surface_temperature_pm
                (y, x)
                float32
                ...
                long_name :
                Temperature at land surface based on GMAO GEOS-5 data.
                units :
                Kelvins
                valid_max :
                350.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • surface_water_fraction_mb_h_pm
                (y, x)
                float32
                ...
                long_name :
                Gain weighted fraction of static water within the radiometer horizontal polarization brightness temperature antenna pattern in 36 km Earth grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • surface_water_fraction_mb_v_pm
                (y, x)
                float32
                ...
                long_name :
                Gain weighted fraction of static water within the radiometer vertical polarization brightness temperature antenna pattern in 36 km Earth grid cell.
                valid_max :
                1.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_3_corrected_pm
                (y, x)
                float32
                ...
                long_name :
                Third stokes parameter for each 36 km grid cell calculated with an adjustment for the presence of water bodies
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_4_corrected_pm
                (y, x)
                float32
                ...
                long_name :
                Fourth stokes parameter for each 36 km grid cell calculated with an adjustment for the presence of water bodies
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_h_corrected_pm
                (y, x)
                float32
                ...
                long_name :
                Horizontal polarization brightness temperature in 36 km Earth grid cell adjusted for the presence of water bodies.
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_h_uncorrected_pm
                (y, x)
                float32
                ...
                long_name :
                Horizontal polarization brightness temperature in 36 km Earth grid cell before adjustment for the presence of water bodies.
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_qual_flag_3_pm
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 4096s, 16384s, 32768s
                flag_meanings :
                3rd_Stokes_quality 3rd_Stokes_range 3rd_Stokes_RFI_detection 3rd_Stokes_RFI_correction 3rd_Stokes_NEDT 3rd_Stokes_direct_sun_correction 3rd_Stokes_reflected_sun_correction 3rd_Stokes_reflected_moon_correction 3rd_Stokes_direct_galaxy_correction 3rd_Stokes_reflected_galaxy_correction 3rd_Stokes_atmosphere_correction 3rd_Stokes_null_value_bit 3rd_Stokes_RFI_check 3rd_Stokes_RFI_clean
                long_name :
                Bit flags that represent the quality of the 3rd Stokes brightness temperature within each grid cell
                [391384 values with dtype=float32]
              • tb_qual_flag_4_pm
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 4096s, 16384s, 32768s
                flag_meanings :
                4th_Stokes_quality 4th_Stokes_range 4th_Stokes_RFI_detection 4th_Stokes_RFI_correction 4th_Stokes_NEDT 4th_Stokes_direct_sun_correction 4th_Stokes_reflected_sun_correction 4th_Stokes_reflected_moon_correction 4th_Stokes_direct_galaxy_correction 4th_Stokes_reflected_galaxy_correction 4th_Stokes_atmosphere_correction 4th_Stokes_null_value_bit 4th_Stokes_RFI_check 4th_Stokes_RFI_clean
                long_name :
                Bit flags that represent the quality of the 4th Stokes brightness temperature within each grid cell
                [391384 values with dtype=float32]
              • tb_qual_flag_h_pm
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 2048s, 4096s, 8192s, 16384s, 32768s
                flag_meanings :
                Horizontal_polarization_quality Horizontal_polarization_range Horizontal_polarization_RFI_detection Horizontal_polarization_RFI_correction Horizontal_polarization_NEDT Horizontal_polarization_direct_sun_correction Horizontal_polarization_reflected_sun_correction Horizontal_polarization_reflected_moon_correction Horizontal_polarization_direct_galaxy_correction Horizontal_polarization_reflected_galaxy_correction Horizontal_polarization_atmosphere_correction Horizontal_polarization_Faraday_rotation_correction Horizontal_polarization_null_value_bit Horizontal_polarization_water_correction Horizontal_polarization_RFI_check Horizontal_polarization_RFI_clean
                long_name :
                Bit flags that represent the quality of the horizontal polarization brightness temperature within each grid cell
                [391384 values with dtype=float32]
              • tb_qual_flag_v_pm
                (y, x)
                float32
                ...
                flag_masks :
                1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 2048s, 4096s, 8192s, 16384s, 32768s
                flag_meanings :
                Vertical_polarization_quality Vertical_polarization_range Vertical_polarization_RFI_detection Vertical_polarization_RFI_correction Vertical_polarization_NEDT Vertical_polarization_direct_sun_correction Vertical_polarization_reflected_sun_correction Vertical_polarization_reflected_moon_correction Vertical_polarization_direct_galaxy_correction Vertical_polarization_reflected_galaxy_correction Vertical_polarization_atmosphere_correction Vertical_polarization_Faraday_rotation_correction Vertical_polarization_null_value_bit Vertical_polarization_water_correction Vertical_polarization_RFI_check Vertical_polarization_RFI_clean
                long_name :
                Bit flags that represent the quality of the vertical polarization brightness temperature within each grid cell
                [391384 values with dtype=float32]
              • tb_time_seconds_pm
                (y, x)
                float64
                ...
                long_name :
                Arithmetic average of the acquisition time of all of the brightness temperature footprints with a center that falls within the EASE grid cell in seconds since noon on January 1, 2000 UTC.
                units :
                seconds
                valid_max :
                940000000.0
                valid_min :
                -999999.9
                [391384 values with dtype=float64]
              • tb_time_utc_pm
                (y, x)
                |S24
                ...
                long_name :
                Arithmetic average of the acquisition time of all of the brightness temperature footprints with a center that falls within the EASE grid cell in UTC.
                [391384 values with dtype=|S24]
              • tb_v_corrected_pm
                (y, x)
                float32
                ...
                long_name :
                Vertical polarization brightness temperature in 36 km Earth grid cell adjusted for the presence of water bodies.
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • tb_v_uncorrected_pm
                (y, x)
                float32
                ...
                long_name :
                Vertical polarization brightness temperature in 36 km Earth grid cell before adjustment for the presence of water bodies.
                units :
                Kelvin
                valid_max :
                330.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • vegetation_opacity_dca_pm
                (y, x)
                float32
                ...
                long_name :
                The measured opacity of the vegetation used in DCA retrievals in the grid cell.
                valid_max :
                999999.9
                valid_min :
                -999999.9
                [391384 values with dtype=float32]
              • vegetation_opacity_pm
                (y, x)
                float32
                ...
                long_name :
                The measured opacity of the vegetation used in DCA retrievals in the grid cell.
                valid_max :
                999999.9
                valid_min :
                -999999.9
                [391384 values with dtype=float32]
              • vegetation_opacity_scah_pm
                (y, x)
                float32
                ...
                long_name :
                The measured opacity of the vegetation used in SCA-H retrievals in the grid cell.
                valid_max :
                999999.9
                valid_min :
                -999999.9
                [391384 values with dtype=float32]
              • vegetation_opacity_scav_pm
                (y, x)
                float32
                ...
                long_name :
                The measured opacity of the vegetation used in SCA-V retrievals in the grid cell.
                valid_max :
                999999.9
                valid_min :
                -999999.9
                [391384 values with dtype=float32]
              • vegetation_water_content_pm
                (y, x)
                float32
                ...
                long_name :
                Representative measure of water in the vegetation within the 36 km grid cell.
                units :
                kg/m**2
                valid_max :
                20.0
                valid_min :
                0.0
                [391384 values with dtype=float32]
              • " ], "text/plain": [ "\n", @@ -32277,7 +32279,7 @@ "├── Group: /Metadata\n", "│ │ Attributes:\n", "│ │ iso_19139_dataset_xml: \\n\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
              <xarray.DatasetView> Size: 197MB\n",
+       "Dimensions:                         (y: 406, x: 964, igbp_class: 3)\n",
+       "Coordinates:\n",
+       "  * x                               (x) float64 8kB -1.735e+07 ... 1.735e+07\n",
+       "  * y                               (y) float64 3kB 7.297e+06 ... -7.297e+06\n",
+       "  * igbp_class                      (igbp_class) int64 24B 0 1 2\n",
+       "Data variables: (12/106)\n",
+       "    EASE_column_index               (y, x) float32 2MB ...\n",
+       "    EASE_row_index                  (y, x) float32 2MB ...\n",
+       "    albedo                          (y, x) float32 2MB ...\n",
+       "    albedo_dca                      (y, x) float32 2MB ...\n",
+       "    albedo_scah                     (y, x) float32 2MB ...\n",
+       "    albedo_scav                     (y, x) float32 2MB ...\n",
+       "    ...                              ...\n",
+       "    tb_v_uncorrected_pm             (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_dca_pm       (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_pm           (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_scah_pm      (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_scav_pm      (y, x) float32 2MB ...\n",
+       "    vegetation_water_content_pm     (y, x) float32 2MB ...
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              \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
              <xarray.Dataset> Size: 3GB\n",
+       "Dimensions:                      (time: 31, y: 406, x: 964, igbp_class: 3)\n",
+       "Coordinates:\n",
+       "  * x                            (x) float64 8kB -1.735e+07 ... 1.735e+07\n",
+       "  * y                            (y) float64 3kB 7.297e+06 ... -7.297e+06\n",
+       "  * time                         (time) datetime64[ns] 248B 2017-03-01 ... 20...\n",
+       "Dimensions without coordinates: igbp_class\n",
+       "Data variables: (12/53)\n",
+       "    EASE_column_index            (time, y, x) float32 49MB 0.0 1.0 ... 963.0\n",
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+       "    albedo_dca                   (time, y, x) float32 49MB nan nan ... 0.0 0.03\n",
+       "    albedo_scah                  (time, y, x) float32 49MB nan nan ... 0.0 0.025\n",
+       "    albedo_scav                  (time, y, x) float32 49MB nan nan ... 0.0 0.025\n",
+       "    ...                           ...\n",
+       "    tb_v_uncorrected             (time, y, x) float32 49MB 251.9 251.7 ... 225.3\n",
+       "    vegetation_opacity           (time, y, x) float32 49MB nan nan ... nan nan\n",
+       "    vegetation_opacity_dca       (time, y, x) float32 49MB nan nan ... nan nan\n",
+       "    vegetation_opacity_scah      (time, y, x) float32 49MB nan nan ... nan nan\n",
+       "    vegetation_opacity_scav      (time, y, x) float32 49MB nan nan ... nan nan\n",
+       "    vegetation_water_content     (time, y, x) float32 49MB nan nan ... nan nan
              " + ], + "text/plain": [ + " Size: 3GB\n", + "Dimensions: (time: 31, y: 406, x: 964, igbp_class: 3)\n", + "Coordinates:\n", + " * x (x) float64 8kB -1.735e+07 ... 1.735e+07\n", + " * y (y) float64 3kB 7.297e+06 ... -7.297e+06\n", + " * time (time) datetime64[ns] 248B 2017-03-01 ... 20...\n", + "Dimensions without coordinates: igbp_class\n", + "Data variables: (12/53)\n", + " EASE_column_index (time, y, x) float32 49MB 0.0 1.0 ... 963.0\n", + " EASE_row_index (time, y, x) float32 49MB 0.0 0.0 ... 405.0\n", + " albedo (time, y, x) float32 49MB nan nan ... 0.0 0.03\n", + " albedo_dca (time, y, x) float32 49MB nan nan ... 0.0 0.03\n", + " albedo_scah (time, y, x) float32 49MB nan nan ... 0.0 0.025\n", + " albedo_scav (time, y, x) float32 49MB nan nan ... 0.0 0.025\n", + " ... ...\n", + " tb_v_uncorrected (time, y, x) float32 49MB 251.9 251.7 ... 225.3\n", + " vegetation_opacity (time, y, x) float32 49MB nan nan ... nan nan\n", + " vegetation_opacity_dca (time, y, x) float32 49MB nan nan ... nan nan\n", + " vegetation_opacity_scah (time, y, x) float32 49MB nan nan ... nan nan\n", + " vegetation_opacity_scav (time, y, x) float32 49MB nan nan ... nan nan\n", + " vegetation_water_content (time, y, x) float32 49MB nan nan ... nan nan" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def preprocess_file(f, x, y):\n", + "\n", + " time_string = f.stem.split(\"_\")[4] # Get date string from filename\n", + " time = datetime.datetime.strptime(time_string, \"%Y%m%d\") # Create datetime object\n", + " \n", + " ds = xr.open_dataset(f, \n", + " group=\"Soil_Moisture_Retrieval_Data_AM\", \n", + " phony_dims=\"sort\",\n", + " decode_timedelta=False)\n", + " \n", + " ds = ds.rename_dims({\n", + " 'phony_dim_0': 'y', \n", + " 'phony_dim_1': 'x', \n", + " 'phony_dim_2': 'igbp_class'\n", + " })\n", + "\n", + " # add coordinates\n", + " ds[\"x\"] = x\n", + " ds[\"y\"] = y\n", + " ds[\"time\"] = [time]\n", + " \n", + " return ds\n", + " \n", + "datasets = [preprocess_file(f, x, y) for f in filelist] # Use x and y from earlier calculations\n", + "\n", + "ds = xr.concat(datasets, dim=\"time\")\n", + "\n", + "ds" + ] + }, + { + "cell_type": "markdown", + "id": "cfccdc72-3889-4e9e-beec-014e6a61ec0c", + "metadata": {}, + "source": [ + "#### Plot mean monthly soil moisture for March 2017\n", + "\n", + "We can now use `xarray` to calculate the mean soil moisture for March 2017 and plot the data on a map." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e3632e36-555b-4554-908a-3afcad89bb7b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
              " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cbar_label = \" \".join(ds.soil_moisture.name.split(\"_\")).title() + f\" ({ds.soil_moisture.attrs['units']})\"\n", + "\n", + "p = ds.soil_moisture.mean(dim=[\"time\"]).plot(\n", + " subplot_kws=dict(projection=EASEGrid2, facecolor=\"0.9\"),\n", + " transform=EASEGrid2,\n", + " cbar_kwargs=dict(shrink=0.5, label=cbar_label),\n", + " figsize=(10,7)\n", + ")\n", + "p.axes.coastlines()\n", + "\n", + "p.axes.scatter(-113.5, 37.5, transform=ccrs.PlateCarree())" + ] + }, + { + "cell_type": "markdown", + "id": "8b2fb93b-10ad-4af4-a709-c457bab891f8", + "metadata": {}, + "source": [ + "#### Calculate and Plot a Time series for Four Corners Region\n", + "\n", + "We can use the time series of SMAP data to generate a plot of mean soil moisture from SMAP for the Four Corners of the western USA. The region of interest is defined by the latitude and longitudes in the code-cell below. These need to be transformed to grid coordinates in the EASE Grid 2.0 Global coordinate reference system (CRS).\n", + "\n", + "There are several tools that can be used to do this. Here we use the `transform_point` method of the `cartopy.crs`, `EASEGrid2`, we defined for creating the maps above. This takes a longitude and a latitude for each corner of the region of interest, along with the CRS for the latitude and longitude coordinate system." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "53b7f6e2-424f-40f1-9748-5db4c5d1aee9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(np.float64(-10951192.808476754),\n", + " np.float64(-10613490.827598616),\n", + " np.float64(4457063.374682719),\n", + " np.float64(3986270.2078663567))" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N_lat = 37.5\n", + "S_lat = 33.0\n", + "W_lon = -113.5\n", + "E_lon = -110.0\n", + "\n", + "x1, y1 = EASEGrid2.transform_point(E_lon, S_lat, src_crs=ccrs.Geodetic())\n", + "x0, y0 = EASEGrid2.transform_point(W_lon, N_lat, src_crs=ccrs.Geodetic())\n", + "\n", + "x0, x1, y0, y1" + ] + }, + { + "cell_type": "markdown", + "id": "d1e9f690-28cb-4e6f-ab82-b740347e25f5", + "metadata": {}, + "source": [ + "We can now subset the `soil_moisture` grids along the `x` and `y` dimensions using the `.sel` method. We then calculate a mean over these dimensions and plot the result, all within `xarray`. The EASE Grid 2.0 CRS is an equal area projection, so grid cells do not need to be weighted before averaging them." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "1637358c-5161-4da2-954b-9f06f68ac15e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
              " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "p = ds.soil_moisture.sel(x=slice(x0,x1), y=slice(y0,y1)).mean(dim=[\"x\",\"y\"]).plot(\n", + " ls='', marker='.', ylim=(0,0.25), \n", + ")\n", + "p[0].axes.set_ylabel(f\"${ds.soil_moisture.attrs['units'].replace('**','^')}$\");\n", + "p[0].axes.set_title(\"Soil Moisture over Four Corners Region\");" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a5758aac-a13b-49f8-80b5-f3eebbbd6dae", "metadata": {}, "outputs": [], "source": [] From b269a97015b029b640fc2314bb19b36378bf6f54 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 26 Feb 2025 14:56:52 -0700 Subject: [PATCH 17/31] update import packages text --- notebooks/SMAP/01_download_smap_data.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/SMAP/01_download_smap_data.ipynb b/notebooks/SMAP/01_download_smap_data.ipynb index 808add7..a2a6ad6 100644 --- a/notebooks/SMAP/01_download_smap_data.ipynb +++ b/notebooks/SMAP/01_download_smap_data.ipynb @@ -85,7 +85,7 @@ "metadata": {}, "source": [ "### **Import libraries**\n", - "We two libraries, `os` for creating the directory to store the downloaded data in and `earthaccess` to authenticate, search for and download the data. " + "We need two libraries for this tutorial: `pathlib` for creating the directory to store the downloaded data; and `earthaccess` to authenticate, search for and download the data. " ] }, { From 1adadbf3880b959ce3c43be97ce9142fac9e2ae5 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 26 Feb 2025 15:01:41 -0700 Subject: [PATCH 18/31] change to version 009 --- .../SMAP/smap_issues_and_solutions.ipynb | 1914 +---------------- 1 file changed, 75 insertions(+), 1839 deletions(-) diff --git a/notebooks/SMAP/smap_issues_and_solutions.ipynb b/notebooks/SMAP/smap_issues_and_solutions.ipynb index 27689a5..ce50771 100644 --- a/notebooks/SMAP/smap_issues_and_solutions.ipynb +++ b/notebooks/SMAP/smap_issues_and_solutions.ipynb @@ -37,19 +37,10 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "b35a4034-033a-419c-97a1-fb3a4234e799", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/apbarret/mambaforge/envs/smap-tutorial/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], + "outputs": [], "source": [ "from pathlib import Path\n", "\n", @@ -81,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "04c73ccc-c8dc-4dcb-84bf-962f8b0e6c84", "metadata": {}, "outputs": [], @@ -91,22 +82,14 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "1b04c8b8-fe00-4452-9989-8a32012ed338", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Granules found: 31\n" - ] - } - ], + "outputs": [], "source": [ "results = earthaccess.search_data(\n", " short_name = 'SPL3SMP',\n", - " version = '008',\n", + " version = '009',\n", " cloud_hosted = False,\n", " temporal = ('2017-03-01','2017-03-31')\n", ")" @@ -134,7 +117,17 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, + "id": "b9f11521-54ff-4dd0-8823-cea9d8bba6d3", + "metadata": {}, + "outputs": [], + "source": [ + "#rm smap_data/*.h5" + ] + }, + { + "cell_type": "code", + "execution_count": null, "id": "4d7cb4e8-0854-4dfa-b2a0-28fffca94305", "metadata": {}, "outputs": [], @@ -142,7 +135,7 @@ "DOWNLOAD_PATH = Path.cwd() / \"smap_data\"\n", "DOWNLOAD_PATH.mkdir(parents=True, exist_ok=True) # creates parents if they don't exist and fails silently if path exists\n", "\n", - "#smap_files = earthaccess.download(results, str(DOWNLOAD_PATH))" + "smap_files = earthaccess.download(results, str(DOWNLOAD_PATH))" ] }, { @@ -155,53 +148,12 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "a474c513-0473-43eb-b2d1-f386c52272b5", "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "[PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170323_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170326_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170325_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170304_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170330_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170312_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170306_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170317_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170301_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170322_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170328_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170302_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170327_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170313_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170308_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170329_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170310_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170311_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170303_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170307_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170331_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170318_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170314_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170305_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170319_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170309_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170315_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170321_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170320_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170324_R18290_001.h5'),\n", - " PosixPath('/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170316_R18290_001.h5')]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "smap_files = list(DOWNLOAD_PATH.glob('*.h5')) # .glob() returns a generator list() turn it into a list \n", "smap_files" @@ -229,21 +181,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "2113e065-5aa3-4a9f-a537-170cd92e69ec", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "root = h5py.File(smap_files[0], 'r')\n", "root" @@ -251,21 +192,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "f16419b2-304b-4d38-978c-e47ba23d9c31", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "root.keys()" ] @@ -282,21 +212,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "bf41372e-df90-4a42-adf4-ebab4b210909", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "root['Soil_Moisture_Retrieval_Data_AM/soil_moisture']" ] @@ -311,21 +230,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "0d7bc640-ab04-45c0-a6d8-b236e8a0f012", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/Soil_Moisture_Retrieval_Data_AM/soil_moisture\n", - "(406, 964)\n", - "2\n", - "float32\n" - ] - } - ], + "outputs": [], "source": [ "print(root['Soil_Moisture_Retrieval_Data_AM/soil_moisture'].name)\n", "print(root['Soil_Moisture_Retrieval_Data_AM/soil_moisture'].shape)\n", @@ -345,7 +253,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "ee1e6003-3894-42f0-acec-f5d69ba6c78e", "metadata": {}, "outputs": [], @@ -364,28 +272,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "a6afd80d-388b-48f8-bc62-38af3c8f4872", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " ...,\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n", - " dtype=float32)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "data = root['Soil_Moisture_Retrieval_Data_AM/soil_moisture'][:]\n", "data" @@ -401,25 +291,10 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "07409908-e903-416b-a574-da918c914daf", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n", - " dtype=float32)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "root['Soil_Moisture_Retrieval_Data_AM/soil_moisture'][0:4, :]" ] @@ -438,23 +313,10 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "adc57f9e-6f08-460f-b15b-eadfde6d3d74", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "_FillValue: -9999.0\n", - "coordinates: b'/Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude'\n", - "long_name: b'Representative DCA soil moisture measurement for the Earth based grid cell.'\n", - "units: b'cm**3/cm**3'\n", - "valid_max: 0.5\n", - "valid_min: 0.019999999552965164\n" - ] - } - ], + "outputs": [], "source": [ "for key, value in root['Soil_Moisture_Retrieval_Data_AM/soil_moisture'].attrs.items():\n", " print(f\"{key}: {value}\")" @@ -478,150 +340,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "91d27b73-0d8b-4ebe-baed-c3c5324836ec", "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "['Metadata',\n", - " 'Metadata/AcquisitionInformation',\n", - " 'Metadata/AcquisitionInformation/platform',\n", - " 'Metadata/AcquisitionInformation/platformDocument',\n", - " 'Metadata/AcquisitionInformation/radar',\n", - " 'Metadata/AcquisitionInformation/radarDocument',\n", - " 'Metadata/AcquisitionInformation/radiometer',\n", - " 'Metadata/AcquisitionInformation/radiometerDocument',\n", - " 'Metadata/DataQuality',\n", - " 'Metadata/DataQuality/CompletenessOmission',\n", - " 'Metadata/DataQuality/DomainConsistency',\n", - " 'Metadata/DatasetIdentification',\n", - " 'Metadata/Extent',\n", - " 'Metadata/GridSpatialRepresentation',\n", - " 'Metadata/GridSpatialRepresentation/Column',\n", - " 'Metadata/GridSpatialRepresentation/GridDefinition',\n", - " 'Metadata/GridSpatialRepresentation/GridDefinitionDocument',\n", - " 'Metadata/GridSpatialRepresentation/Row',\n", - " 'Metadata/Lineage',\n", - " 'Metadata/Lineage/EASEGRID_LON_M',\n", - " 'Metadata/Lineage/InputConfiguration',\n", - " 'Metadata/Lineage/L2_SM_P',\n", - " 'Metadata/Lineage/MetadataConfiguration',\n", - " 'Metadata/Lineage/OutputConfiguration',\n", - " 'Metadata/Lineage/RunConfiguration',\n", - " 'Metadata/OrbitMeasuredLocation',\n", - " 'Metadata/ProcessStep',\n", - " 'Metadata/ProductSpecificationDocument',\n", - " 'Metadata/QADatasetIdentification',\n", - " 'Metadata/SeriesIdentification',\n", - " 'Soil_Moisture_Retrieval_Data_AM',\n", - " 'Soil_Moisture_Retrieval_Data_AM/EASE_column_index',\n", - " 'Soil_Moisture_Retrieval_Data_AM/EASE_row_index',\n", - " 'Soil_Moisture_Retrieval_Data_AM/albedo',\n", - " 'Soil_Moisture_Retrieval_Data_AM/albedo_scah',\n", - " 'Soil_Moisture_Retrieval_Data_AM/albedo_scav',\n", - " 'Soil_Moisture_Retrieval_Data_AM/boresight_incidence',\n", - " 'Soil_Moisture_Retrieval_Data_AM/bulk_density',\n", - " 'Soil_Moisture_Retrieval_Data_AM/clay_fraction',\n", - " 'Soil_Moisture_Retrieval_Data_AM/freeze_thaw_fraction',\n", - " 'Soil_Moisture_Retrieval_Data_AM/grid_surface_status',\n", - " 'Soil_Moisture_Retrieval_Data_AM/landcover_class',\n", - " 'Soil_Moisture_Retrieval_Data_AM/landcover_class_fraction',\n", - " 'Soil_Moisture_Retrieval_Data_AM/latitude',\n", - " 'Soil_Moisture_Retrieval_Data_AM/latitude_centroid',\n", - " 'Soil_Moisture_Retrieval_Data_AM/longitude',\n", - " 'Soil_Moisture_Retrieval_Data_AM/longitude_centroid',\n", - " 'Soil_Moisture_Retrieval_Data_AM/radar_water_body_fraction',\n", - " 'Soil_Moisture_Retrieval_Data_AM/retrieval_qual_flag',\n", - " 'Soil_Moisture_Retrieval_Data_AM/retrieval_qual_flag_scah',\n", - " 'Soil_Moisture_Retrieval_Data_AM/retrieval_qual_flag_scav',\n", - " 'Soil_Moisture_Retrieval_Data_AM/roughness_coefficient',\n", - " 'Soil_Moisture_Retrieval_Data_AM/roughness_coefficient_scah',\n", - " 'Soil_Moisture_Retrieval_Data_AM/roughness_coefficient_scav',\n", - " 'Soil_Moisture_Retrieval_Data_AM/soil_moisture',\n", - " 'Soil_Moisture_Retrieval_Data_AM/soil_moisture_error',\n", - " 'Soil_Moisture_Retrieval_Data_AM/soil_moisture_scah',\n", - " 'Soil_Moisture_Retrieval_Data_AM/soil_moisture_scav',\n", - " 'Soil_Moisture_Retrieval_Data_AM/static_water_body_fraction',\n", - " 'Soil_Moisture_Retrieval_Data_AM/surface_flag',\n", - " 'Soil_Moisture_Retrieval_Data_AM/surface_temperature',\n", - " 'Soil_Moisture_Retrieval_Data_AM/surface_water_fraction_mb_h',\n", - " 'Soil_Moisture_Retrieval_Data_AM/surface_water_fraction_mb_v',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_3_corrected',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_4_corrected',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_h_corrected',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_h_uncorrected',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_qual_flag_3',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_qual_flag_4',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_qual_flag_h',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_qual_flag_v',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_time_seconds',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_time_utc',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_v_corrected',\n", - " 'Soil_Moisture_Retrieval_Data_AM/tb_v_uncorrected',\n", - " 'Soil_Moisture_Retrieval_Data_AM/vegetation_opacity',\n", - " 'Soil_Moisture_Retrieval_Data_AM/vegetation_opacity_scah',\n", - " 'Soil_Moisture_Retrieval_Data_AM/vegetation_opacity_scav',\n", - " 'Soil_Moisture_Retrieval_Data_AM/vegetation_water_content',\n", - " 'Soil_Moisture_Retrieval_Data_PM',\n", - " 'Soil_Moisture_Retrieval_Data_PM/EASE_column_index_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/EASE_row_index_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/albedo_dca_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/albedo_scah_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/albedo_scav_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/boresight_incidence_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/bulk_density_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/clay_fraction_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/freeze_thaw_fraction_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/grid_surface_status_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/landcover_class_fraction_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/landcover_class_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/latitude_centroid_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/latitude_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/longitude_centroid_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/longitude_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/radar_water_body_fraction_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/retrieval_qual_flag_dca_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/retrieval_qual_flag_scah_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/retrieval_qual_flag_scav_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/roughness_coefficient_dca_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/roughness_coefficient_scah_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/roughness_coefficient_scav_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/soil_moisture_dca_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/soil_moisture_error_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/soil_moisture_scah_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/soil_moisture_scav_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/static_water_body_fraction_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/surface_flag_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/surface_temperature_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/surface_water_fraction_mb_h_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/surface_water_fraction_mb_v_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_3_corrected_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_4_corrected_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_h_corrected_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_h_uncorrected_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_qual_flag_3_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_qual_flag_4_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_qual_flag_h_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_qual_flag_v_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_time_seconds_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_time_utc_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_v_corrected_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/tb_v_uncorrected_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/vegetation_opacity_dca_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/vegetation_opacity_scah_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/vegetation_opacity_scav_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/vegetation_water_content_pm']" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "with h5py.File(smap_files[0], 'r') as root:\n", " list_of_names = []\n", @@ -639,28 +363,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "147e1bd7-07ee-4609-9943-cec5ca527a93", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " ...,\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n", - " [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n", - " dtype=float32)" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "with h5py.File(smap_files[0], 'r') as root:\n", " soil_moisture = root['Soil_Moisture_Retrieval_Data_AM/soil_moisture'][:]\n", @@ -669,26 +375,10 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "06263ffa-d2fb-4e12-86d3-e2cfff25677e", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['Soil_Moisture_Retrieval_Data_AM/albedo',\n", - " 'Soil_Moisture_Retrieval_Data_AM/albedo_scah',\n", - " 'Soil_Moisture_Retrieval_Data_AM/albedo_scav',\n", - " 'Soil_Moisture_Retrieval_Data_PM/albedo_dca_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/albedo_scah_pm',\n", - " 'Soil_Moisture_Retrieval_Data_PM/albedo_scav_pm']" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "list_of_names = []\n", "def get_albedo(name):\n", @@ -719,59 +409,10 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "c17e3b4f-5283-4d1d-96e1-965a623e361c", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'albedo': array([[-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " ...,\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [ 2.8333332e-02, 0.0000000e+00, 0.0000000e+00, ...,\n", - " 0.0000000e+00, 0.0000000e+00, 2.9999997e-02]], dtype=float32),\n", - " 'albedo_scah': array([[-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " ...,\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [ 2.3611115e-02, 0.0000000e+00, 0.0000000e+00, ...,\n", - " 0.0000000e+00, 0.0000000e+00, 2.5000004e-02]], dtype=float32),\n", - " 'albedo_scav': array([[-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " ...,\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [-9.9990000e+03, -9.9990000e+03, -9.9990000e+03, ...,\n", - " -9.9990000e+03, -9.9990000e+03, -9.9990000e+03],\n", - " [ 2.3611115e-02, 0.0000000e+00, 0.0000000e+00, ...,\n", - " 0.0000000e+00, 0.0000000e+00, 2.5000004e-02]], dtype=float32)}" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "dict_of_vars = {}\n", "def get_vars(name, obj):\n", @@ -792,7 +433,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "ded43124-14cc-4be6-b690-be4f7f3bcceb", "metadata": {}, "outputs": [], @@ -827,421 +468,10 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "759e1df8-eb4f-472d-8175-69e634c30503", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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              <xarray.Dataset>\n",
-       "Dimensions:                      (phony_dim_0: 406, phony_dim_1: 964,\n",
-       "                                  phony_dim_2: 3)\n",
-       "Dimensions without coordinates: phony_dim_0, phony_dim_1, phony_dim_2\n",
-       "Data variables: (12/53)\n",
-       "    EASE_column_index            (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    EASE_row_index               (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    albedo                       (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    albedo_dca                   (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    albedo_scah                  (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    albedo_scav                  (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    ...                           ...\n",
-       "    tb_v_uncorrected             (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    vegetation_opacity           (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    vegetation_opacity_dca       (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    vegetation_opacity_scah      (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    vegetation_opacity_scav      (phony_dim_0, phony_dim_1) float32 ...\n",
-       "    vegetation_water_content     (phony_dim_0, phony_dim_1) float32 ...
              " - ], - "text/plain": [ - "\n", - "Dimensions: (phony_dim_0: 406, phony_dim_1: 964,\n", - " phony_dim_2: 3)\n", - "Dimensions without coordinates: phony_dim_0, phony_dim_1, phony_dim_2\n", - "Data variables: (12/53)\n", - " EASE_column_index (phony_dim_0, phony_dim_1) float32 ...\n", - " EASE_row_index (phony_dim_0, phony_dim_1) float32 ...\n", - " albedo (phony_dim_0, phony_dim_1) float32 ...\n", - " albedo_dca (phony_dim_0, phony_dim_1) float32 ...\n", - " albedo_scah (phony_dim_0, phony_dim_1) float32 ...\n", - " albedo_scav (phony_dim_0, phony_dim_1) float32 ...\n", - " ... ...\n", - " tb_v_uncorrected (phony_dim_0, phony_dim_1) float32 ...\n", - " vegetation_opacity (phony_dim_0, phony_dim_1) float32 ...\n", - " vegetation_opacity_dca (phony_dim_0, phony_dim_1) float32 ...\n", - " vegetation_opacity_scah (phony_dim_0, phony_dim_1) float32 ...\n", - " vegetation_opacity_scav (phony_dim_0, phony_dim_1) float32 ...\n", - " vegetation_water_content (phony_dim_0, phony_dim_1) float32 ..." - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "gds = xr.open_dataset(smap_files[0], group='Soil_Moisture_Retrieval_Data_AM') #, decode_coords='all', decode_cf=True)\n", "gds" @@ -1269,419 +499,10 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "a445433e-d160-4ca2-9a58-a0b74ccf348b", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
              \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
              <xarray.Dataset>\n",
-       "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
-       "Dimensions without coordinates: y, x, igbp_class\n",
-       "Data variables: (12/53)\n",
-       "    EASE_column_index            (y, x) float32 ...\n",
-       "    EASE_row_index               (y, x) float32 ...\n",
-       "    albedo                       (y, x) float32 ...\n",
-       "    albedo_dca                   (y, x) float32 ...\n",
-       "    albedo_scah                  (y, x) float32 ...\n",
-       "    albedo_scav                  (y, x) float32 ...\n",
-       "    ...                           ...\n",
-       "    tb_v_uncorrected             (y, x) float32 ...\n",
-       "    vegetation_opacity           (y, x) float32 ...\n",
-       "    vegetation_opacity_dca       (y, x) float32 ...\n",
-       "    vegetation_opacity_scah      (y, x) float32 ...\n",
-       "    vegetation_opacity_scav      (y, x) float32 ...\n",
-       "    vegetation_water_content     (y, x) float32 ...
              " - ], - "text/plain": [ - "\n", - "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", - "Dimensions without coordinates: y, x, igbp_class\n", - "Data variables: (12/53)\n", - " EASE_column_index (y, x) float32 ...\n", - " EASE_row_index (y, x) float32 ...\n", - " albedo (y, x) float32 ...\n", - " albedo_dca (y, x) float32 ...\n", - " albedo_scah (y, x) float32 ...\n", - " albedo_scav (y, x) float32 ...\n", - " ... ...\n", - " tb_v_uncorrected (y, x) float32 ...\n", - " vegetation_opacity (y, x) float32 ...\n", - " vegetation_opacity_dca (y, x) float32 ...\n", - " vegetation_opacity_scah (y, x) float32 ...\n", - " vegetation_opacity_scav (y, x) float32 ...\n", - " vegetation_water_content (y, x) float32 ..." - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "gds = gds.rename_dims({'phony_dim_0': 'y', 'phony_dim_1': 'x', 'phony_dim_2': 'igbp_class'})\n", "gds" @@ -1697,51 +518,20 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "96f26e1e-2c6d-4f57-bf51-72653e2c76d9", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "gds.latitude.plot()" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "fe9bc187-b64d-414d-9074-5bc5e33c3774", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "array(-9999.) \n", - "array(83.63197327)\n" - ] - } - ], + "outputs": [], "source": [ "print(gds.latitude.min(), gds.latitude.max())" ] @@ -1756,31 +546,10 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "18d8326c-fea7-4fb5-a7bc-e38f4bbfdd05", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(2, 1)\n", "gds.latitude.plot(ax=ax[0]);\n", @@ -1803,25 +572,17 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "id": "c65618de-eb3d-4f07-804c-81f0199a3ed4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'zlib': True, 'szip': False, 'zstd': False, 'bzip2': False, 'blosc': False, 'shuffle': False, 'complevel': 2, 'fletcher32': False, 'contiguous': False, 'chunksizes': (1, 964), 'source': '/home/apbarret/src/NSIDC-Data-Cookbook/nsidc-data-cookbook/tutorials/smap_data/SMAP_L3_SM_P_20170319_R18290_001.h5', 'original_shape': (406, 964), 'dtype': dtype('float32')}\n" - ] - } - ], + "outputs": [], "source": [ "print(gds.latitude.encoding)" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "id": "efc06b5a-fe82-4732-8753-f589485bb3f5", "metadata": {}, "outputs": [], @@ -1848,20 +609,10 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "id": "ec868a8e-bf13-4967-bde6-02cc2b07738e", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "array(-83.63197327) \n", - "array(83.63197327)\n" - ] - } - ], + "outputs": [], "source": [ "print(gds.latitude.min(), gds.latitude.max())" ] @@ -1876,31 +627,10 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "id": "c7d6df08-b03f-465a-bb21-d6a68665fde2", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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-       "    vegetation_water_content     (y, x) float32 ...
              " - ], - "text/plain": [ - "\n", - "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", - "Coordinates:\n", - " * x (x) float64 -1.735e+07 -1.731e+07 ... 1.735e+07\n", - " * y (y) float64 7.297e+06 7.26e+06 ... -7.297e+06\n", - " * igbp_class (igbp_class) int64 0 1 2\n", - " wgs84_easegrid2_global int64 0\n", - "Data variables: (12/53)\n", - " EASE_column_index (y, x) float32 ...\n", - " EASE_row_index (y, x) float32 ...\n", - " albedo (y, x) float32 ...\n", - " albedo_dca (y, x) float32 ...\n", - " albedo_scah (y, x) float32 ...\n", - " albedo_scav (y, x) float32 ...\n", - " ... ...\n", - " tb_v_uncorrected (y, x) float32 ...\n", - " vegetation_opacity (y, x) float32 ...\n", - " vegetation_opacity_dca (y, x) float32 ...\n", - " vegetation_opacity_scah (y, x) float32 ...\n", - " vegetation_opacity_scav (y, x) float32 ...\n", - " vegetation_water_content (y, x) float32 ..." - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "gds = gds.assign_coords(x=x, y=y, igbp_class=igbp_class)\n", "\n", @@ -2524,19 +782,10 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "id": "29cb574a-7f44-4924-b275-0fce25606569", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "wgs84_easegrid2_global\n", - "(-17367530.4451615, -7314540.830638505, 17367530.445161473, 7314540.8306386)\n" - ] - } - ], + "outputs": [], "source": [ "print(gds.latitude.rio.grid_mapping)\n", "print(gds.rio.bounds())" @@ -2544,21 +793,10 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "id": "70f54aaa-a1fc-46a2-826d-737bd71aa386", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "EASEGrid2 = ccrs.epsg(gds.rio.crs.to_epsg())\n", "\n", @@ -2573,9 +811,7 @@ { "cell_type": "markdown", "id": "ae67f0aa-b858-4ee1-aa29-3961df9c54cc", - "metadata": { - "jp-MarkdownHeadingCollapsed": true - }, + "metadata": {}, "source": [ "## Extra Stuff to be refined" ] @@ -2716,7 +952,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.10.14" } }, "nbformat": 4, From 68244f3e9233f5e9353d6338f2df8baf62e59d01 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 26 Feb 2025 15:02:33 -0700 Subject: [PATCH 19/31] clear outputs --- notebooks/SMAP/smap_rasterio_issues.ipynb | 2141 +-------------------- 1 file changed, 34 insertions(+), 2107 deletions(-) diff --git a/notebooks/SMAP/smap_rasterio_issues.ipynb b/notebooks/SMAP/smap_rasterio_issues.ipynb index 2409231..8f35355 100644 --- a/notebooks/SMAP/smap_rasterio_issues.ipynb +++ b/notebooks/SMAP/smap_rasterio_issues.ipynb @@ -14,19 +14,10 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": null, "id": "e157b689-ed9b-49dc-83cf-ed046f57d5ef", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024.2.0\n", - "0.15.0\n" - ] - } - ], + "outputs": [], "source": [ "from pathlib import Path\n", "import warnings\n", @@ -41,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "ad25ca3c-9aa4-4123-8af0-5a09ccf5bf46", "metadata": {}, "outputs": [], @@ -51,453 +42,10 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "f31063b9-0b3a-4a3c-b34f-86a3ce59c898", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
              \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
              <xarray.Dataset> Size: 175MB\n",
-       "Dimensions:                           (phony_dim_2: 1, y: 1624, x: 3856)\n",
-       "Coordinates:\n",
-       "  * x                                 (x) float64 31kB -1.736e+07 ... 1.736e+07\n",
-       "  * y                                 (y) float64 13kB 7.31e+06 ... -7.31e+06\n",
-       "Dimensions without coordinates: phony_dim_2\n",
-       "Data variables:\n",
-       "    EASE2_global_projection           (phony_dim_2) |S1 1B ...\n",
-       "    cell_column                       (y, x) float64 50MB ...\n",
-       "    cell_lat                          (y, x) float32 25MB ...\n",
-       "    cell_lon                          (y, x) float32 25MB ...\n",
-       "    cell_row                          (y, x) float64 50MB ...\n",
-       "    time                              (phony_dim_2) datetime64[ns] 8B ...\n",
-       "    precipitation_total_surface_flux  (y, x) float32 25MB ...\n",
-       "Attributes:\n",
-       "    Source:       v17.11.1\n",
-       "    Institution:  NASA Global Modeling and Assimilation Office\n",
-       "    History:      File written by ldas2daac.x\n",
-       "    Comment:      HDF-5\n",
-       "    Filename:     /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv7032/...\n",
-       "    Title:        SMAP L4_SM Geophysical (GPH) Data Granule\n",
-       "    Conventions:  CF\n",
-       "    References:   see SMAP L4_SM Product Specification Documentation\n",
-       "    Contact:      http://gmao.gsfc.nasa.gov
              " - ], - "text/plain": [ - " Size: 175MB\n", - "Dimensions: (phony_dim_2: 1, y: 1624, x: 3856)\n", - "Coordinates:\n", - " * x (x) float64 31kB -1.736e+07 ... 1.736e+07\n", - " * y (y) float64 13kB 7.31e+06 ... -7.31e+06\n", - "Dimensions without coordinates: phony_dim_2\n", - "Data variables:\n", - " EASE2_global_projection (phony_dim_2) |S1 1B ...\n", - " cell_column (y, x) float64 50MB ...\n", - " cell_lat (y, x) float32 25MB ...\n", - " cell_lon (y, x) float32 25MB ...\n", - " cell_row (y, x) float64 50MB ...\n", - " time (phony_dim_2) datetime64[ns] 8B ...\n", - " precipitation_total_surface_flux (y, x) float32 25MB ...\n", - "Attributes:\n", - " Source: v17.11.1\n", - " Institution: NASA Global Modeling and Assimilation Office\n", - " History: File written by ldas2daac.x\n", - " Comment: HDF-5\n", - " Filename: /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv7032/...\n", - " Title: SMAP L4_SM Geophysical (GPH) Data Granule\n", - " Conventions: CF\n", - " References: see SMAP L4_SM Product Specification Documentation\n", - " Contact: http://gmao.gsfc.nasa.gov" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "engine = \"netcdf4\"\n", "ds = xr.merge([\n", @@ -509,31 +57,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "2fe7bdca-12de-4674-b1c3-e55ac24e7627", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ds.precipitation_total_surface_flux.plot()" ] @@ -548,41 +75,10 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "id": "fd8a2568-0893-4375-8b34-0b2e8b816ac2", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Size: 175MB\n", - "Dimensions: (phony_dim_2: 1, y: 1624, x: 3856)\n", - "Coordinates:\n", - " * x (x) float64 31kB -1.736e+07 ... 1.736e+07\n", - " * y (y) float64 13kB 7.31e+06 ... -7.31e+06\n", - "Dimensions without coordinates: phony_dim_2\n", - "Data variables:\n", - " EASE2_global_projection (phony_dim_2) |S1 1B ...\n", - " cell_column (y, x) float64 50MB ...\n", - " cell_lat (y, x) float32 25MB ...\n", - " cell_lon (y, x) float32 25MB ...\n", - " cell_row (y, x) float64 50MB ...\n", - " time (phony_dim_2) datetime64[ns] 8B ...\n", - " precipitation_total_surface_flux (y, x) float32 25MB ...\n", - "Attributes:\n", - " Comment: HDF-5\n", - " Contact: http://gmao.gsfc.nasa.gov\n", - " Conventions: CF\n", - " Filename: /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv7032/...\n", - " History: File written by ldas2daac.x\n", - " Institution: NASA Global Modeling and Assimilation Office\n", - " References: see SMAP L4_SM Product Specification Documentation\n", - " Source: v17.11.1\n", - " Title: SMAP L4_SM Geophysical (GPH) Data Granule\n" - ] - } - ], + "outputs": [], "source": [ "engine=\"h5netcdf\"\n", "ds = xr.merge([\n", @@ -594,215 +90,12 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "id": "105606bc-6c6b-4ffd-8bbc-23e40db3f065", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "/home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/_io.py:1132: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - " warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore\n" - ] - } - ], + "outputs": [], "source": [ "%%capture \n", "# Avoid a string of NotGeoreferencedWarnings\n", @@ -815,49 +108,20 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": null, "id": "fe9df3a8-b6f9-459f-b74c-44c6b1495fcb", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Size: 31kB\n", - "array([5.0000e-01, 1.5000e+00, 2.5000e+00, ..., 3.8535e+03, 3.8545e+03,\n", - " 3.8555e+03])\n", - "Coordinates:\n", - " * x (x) float64 31kB 0.5 1.5 ... 3.854e+03 3.856e+03\n", - " EASE2_global_projection int64 8B ... Size: 13kB\n", - "array([5.0000e-01, 1.5000e+00, 2.5000e+00, ..., 1.6215e+03, 1.6225e+03,\n", - " 1.6235e+03])\n", - "Coordinates:\n", - " * y (y) float64 13kB 0.5 1.5 ... 1.622e+03 1.624e+03\n", - " EASE2_global_projection int64 8B ...\n" - ] - } - ], + "outputs": [], "source": [ "print(ds_rasterio.x, ds_rasterio.y)" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": null, "id": "ca842d36-9d4e-4ce7-8005-94cdf96875af", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ds_rasterio.cell_lat.plot()\n", "plt.savefig('smap_h5_cell_lat.png')" @@ -865,1225 +129,32 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": null, "id": "66ea978b-26ae-496a-9bdf-e94843dfd035", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", 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              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ds_rioxarray.precipitation_total_surface_flux.plot(vmax=0.001)\n", "plt.savefig('smap_h5_precipitation.png')" @@ -2117,183 +177,50 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": null, "id": "1119929c-2e50-4053-bb84-e5cf441c2526", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "CRS.from_epsg(6933)" - ] - }, - "execution_count": 68, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "ds_rioxarray.rio.crs" ] }, { "cell_type": "code", - "execution_count": 69, + "execution_count": null, "id": "a44c287c-c490-4e91-a7a9-c6643c01897f", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Affine(9008.0556640625, 0.0, -17367531.3203125,\n", - " 0.0, -9008.0556640625, 7314541.19921875)" - ] - }, - "execution_count": 69, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "ds_rioxarray.rio.transform()" ] }, { "cell_type": "code", - "execution_count": 71, + "execution_count": null, "id": "4056a4fe-3f45-4617-a73e-bc8ba52a8dc2", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m\n", - "\u001b[0mds_rioxarray\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreproject\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mdst_crs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresolution\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mshape\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtuple\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maffine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mAffine\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresampling\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mrasterio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menums\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mResampling\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m<\u001b[0m\u001b[0mResampling\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnearest\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mnodata\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mxarray\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m\n", - "Reproject :class:`xarray.Dataset` objects\n", - "\n", - ".. note:: Only 2D/3D arrays with dimensions 'x'/'y' are currently supported.\n", - " Others are appended as is.\n", - " Requires either a grid mapping variable with 'spatial_ref' or\n", - " a 'crs' attribute to be set containing a valid CRS.\n", - " If using a WKT (e.g. from spatiareference.org), make sure it is an OGC WKT.\n", - "\n", - ".. note:: To re-project with dask, see\n", - " `odc-geo `__ &\n", - " `pyresample `__.\n", - "\n", - ".. versionadded:: 0.0.27 shape\n", - ".. versionadded:: 0.0.28 transform\n", - ".. versionadded:: 0.5.0 nodata, kwargs\n", - "\n", - "Parameters\n", - "----------\n", - "dst_crs: str\n", - " OGC WKT string or Proj.4 string.\n", - "resolution: float or tuple(float, float), optional\n", - " Size of a destination pixel in destination projection units\n", - " (e.g. degrees or metres).\n", - "shape: tuple(int, int), optional\n", - " Shape of the destination in pixels (dst_height, dst_width). Cannot be used\n", - " together with resolution.\n", - "transform: Affine, optional\n", - " The destination transform.\n", - "resampling: rasterio.enums.Resampling, optional\n", - " See :func:`rasterio.warp.reproject` for more details.\n", - "nodata: float, optional\n", - " The nodata value used to initialize the destination;\n", - " it will remain in all areas not covered by the reprojected source.\n", - " Defaults to the nodata value of the source image if none provided\n", - " and exists or attempts to find an appropriate value by dtype.\n", - "**kwargs: dict\n", - " Additional keyword arguments to pass into :func:`rasterio.warp.reproject`.\n", - " To override:\n", - " - src_transform: `rio.write_transform`\n", - " - src_crs: `rio.write_crs`\n", - " - src_nodata: `rio.write_nodata`\n", - "\n", - "Returns\n", - "--------\n", - ":class:`xarray.Dataset`:\n", - " The reprojected Dataset.\n", - "\u001b[0;31mFile:\u001b[0m ~/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rioxarray/raster_dataset.py\n", - "\u001b[0;31mType:\u001b[0m method" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ds_rioxarray.rio.reproject?" ] }, { "cell_type": "code", - "execution_count": 77, + "execution_count": null, "id": "7b855823-9181-4100-ba58-6b8fad7a7dd1", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 77, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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GlpaWovtF/8PgTx1c80dERMpoc82fxuXdUtuamJjIBX/qcHFxkW3iSNO6dWu4uLhgwIABAIBatWpBX18fx48fR/fu3QEAkZGRuHXrFhYsWAAAqF+/PmJjY3Hp0iXUqVMHAHDx4kXExsbKAkRSD4M/IiIiEuXTp0949OiR7HN4eDiuX78Oc3NzlC5dGkWLFpW7Xl9fH1ZWVrJNGqampnB1dYWbmxuKFi0Kc3NzuLu7w8HBQRY4VqlSBW3atMHgwYOxZs0aAMCQIUPQoUMHbvbQEIM/dQjgyB8REWVOi68JCQRINHig2LZXrlxB06ZNZZ/Hjx8PAOjXrx+CgoJUuoefnx/09PTQvXt3xMfHo3nz5ggKCoKurq7smq1bt2L06NGyXcFOTk5KcwuScgz+1MDdvkREpIw23xNZNe2rqiZNmkAqIjfg06dPFc4ZGRlh2bJlWLZsWYbtzM3NsWXLFlF9I+W4bYGIiIgoH+HInzoEMGwmIqLMSZRfklU0T/LMl1p+wuBPHdztS0REymi1vJsAiSZJnjVoS3kPQ30iIiKifIQjf2rghg8iIlJGu+XdNJv21SRBNOU9DP7UIUCrW/iJiCgP0maqF6kOJBrs9tWkLeU9DP7UwTV/RESkjDZTvUBAigbRpiZtKe9hqE9ERESUj3DkTw1SndSDiIgoI9p8T3Dal8Rg8KcOTvsSEZEyWp321WzqNiXrukJ5AEN9IiIionyEI39qkAqpBxERUUa0+Z7gtC+JweBPHZz2JSIiZbQ57SvVQYoGAZwmbSnv4d82ERERUT7CkT91MMkzEREpo8X3hBQCJBo8UMqXWr7C4E8NLO9GRETKaPM9wWlfEoN/20RERET5CEf+1KEDhs1ERJQ5rSZ5FiDRYHuxJm0p72HwpwZO+xIRkTJanfaFDlI0iDY1aUt5D4M/IiKiPI4jfyQGgz91cLcvEREpw/cE5VIM/tTACh9ERKSMVit8QAcSDaZuNWlLeU++Df58fHwwZcoUjBkzBv7+/uIas8IHEREpo9VULwJSNIg2NWlLeU++DPUvX76MgIAAVKtWLae7QkRERKRVWhn5Mzc3F3W9IAi4evUqbG1ts7wvnz59Qu/evbF27VrMnTtXrXtIwWlfIiLKnFSLz+KGDxJDK8Hfhw8f4O/vD1NTU6XXSqVSjBgxAikpKdnSl5EjR6J9+/Zo0aKF2sEfN3wQEZFS2izvJtWBRIMqHVJW+MhXtLbmr2fPnrCwsFDp2j/++CNb+rBjxw5cvXoVly9fVun6hIQEJCQkyD7HxcVlS7+IiIiItEUrwZ9EIhF1/cePH7O8DxERERgzZgyOHTsGIyMjldr4+PjA09NT8QsdIfUgIiLKiBbfEykQkKLBUKMmbSnvyTe7fUNDQxEdHY1atWrJzqWkpODMmTNYvnw5EhISoKurK9dm8uTJGD9+vOxzXFwcbGxsmOqFiIiU0mqqF6lm6/Yk2lygSDkuR4K/ly9f4ty5c4iOjlYYFRw9enS2PLN58+a4efOm3LkBAwagcuXKmDhxokLgBwCGhoYwNDTMlv4QERERfa9Lly6i26xevVrlpXVADgR/GzZswLBhw2BgYICiRYtC+CYPkiAI2Rb8GRsbw97eXu5coUKFULRoUYXzSnHDBxERKaPVkT/NNnxo0jY3+/z5M+bNm4eTJ0+mO+D05MmTHOpZxg4cOIDu3bujQIECKl2/bds2fPr0KXuDv9evX8Pd3V32D1IqlR8rVrZLd8aMGZgxYwYmT54MHZ28+S8bp32JiEgZ7Vb4ECDRINrUpG1uNmjQIAQHB8PFxQUlSpSQG3DKzZYuXapyMLdnzx7R9xcd/PXv3x/Pnz/H9OnT1foH+eXLF/Ts2TNXBH6nT5/O6S4QERFpjBU+0nf48GH8/fffaNiwYU53RWX//vuvqPzIhw8fRsmSJUU9Q3Twd/bsWfz333+oUaOG2KYAAFdXV+zevRuTJk1Sq32uwPJuRESkDN8TOa5IkSKiC03kNEdHR1HXN2rUSPQzRAd/NjY2ClO9Yvj4+KBDhw44cuQIHBwcoK+vL/e9r6+v2vfWFk77EhGRMtrd7cs1f+mZM2cOZsyYgY0bN6JgwYJaf/7GjRtRrFgxtG/fHgDg4eGBgIAA2NnZYfv27UormV29ehX6+vpwcHAAAPz555/YsGED7OzsMGvWLBgYGKjVL9F/2/7+/pg0aRKePn2q1gO9vb1x9OhRvH79Gjdv3sS1a9dkx/Xr19W6p9YJPHjw4MGDhwqHlkggyEq8qXWI7OyZM2fQsWNHWFtbQxAEHDhwQPZdUlISJk6cCAcHBxQqVAjW1tbo27cvXr16JXePhIQE/PHHHyhWrBgKFSoEJycnvHjxQu6amJgYuLi4wNTUFKampnBxccGHDx9U7ufixYtx9OhRWFpawsHBAT///LPckd28vb1lGzfOnz+P5cuXY8GCBShWrBjGjRuntP3QoUPx4MEDAKmbU3r27ImCBQti9+7d8PDwULtfokf+evTogS9fvqB8+fIoWLCgwsjd+/fvM23v6+uL9evXo3///mIfTURERLnA58+fUb16dQwYMABdu3aV++7Lly+4evUqpk+fjurVqyMmJgZjx46Fk5MTrly5Irtu7NixOHToEHbs2IGiRYvCzc0NHTp0QGhoqCz9mrOzM168eIEjR44AAIYMGQIXFxccOnRIpX527tw5a36wmiIiIlChQgUAqbt4f//9dwwZMgQNGzZEkyZNlLZ/8OCBbJnd7t278euvv2Lbtm04d+4cevbsCX9/f7X6JTr4U/dBaQwNDfPUwsv0cNqXiIiU0eZ7QgrNdvtKRbZt27Yt2rZtm+53pqamOH78uNy5ZcuWoU6dOnj+/DlKly6N2NhYBAYGYvPmzWjRogUAYMuWLbCxscGJEyfQunVr3L17F0eOHMGFCxdQt25dAMDatWtRv3593L9/Hz/99JPSfs6cOVPU78rM9u3b4eTkhEKFCqncpnDhwnj37h1Kly6NY8eOyUb7jIyMEB8fr7S9VCqVpac5ceIEOnToACB1Cd7bt2/V+BWpRAd//fr1U/thADBmzBgsW7YMS5cu1eg+OYobPoiISBktvifSpm81aQ8o1rDPqmIHsbGxEAQBZmZmAFKrbiUlJaFVq1aya6ytrWFvb4+QkBC0bt0a58+fh6mpqSzwA4B69erB1NQUISEhKgV/WWno0KGoW7cuypUrp3Kbli1bYtCgQahZsyYePHggW/t3+/ZtlClTRmn72rVrY+7cuWjRogWCg4OxatUqAEB4eDgsLS3V+h2AisFfXFwcTExMZH/OTNp1Gbl06RJOnTqFv/76C1WrVlWYNt63b58qXSIiIqIsZmNjI/d55syZmDVrlkb3/Pr1KyZNmgRnZ2dZjBAVFQUDAwMUKVJE7lpLS0tERUXJrkkv152FhYXsmvSYm5vjwYMHKFasGIoUKZJpSjplS9W+pc5m1xUrVmDatGmIiIjA3r17UbRoUQCpwW+vXr2Utvf390fv3r1x4MABTJ06VTaFvGfPHjRo0EB0f9KoFPwVKVIEkZGRsLCwgJmZWbr/IKVSKQRBUJrk2czMTK3SJbkJp32JiEiZvLjbNyIiQm4QR9NRv6SkJPTs2RMSiQQrV65Uen1aLJEms3gjI35+fjA2Ngag+VI1TZmZmWH58uUK5z09PVVqX61aNYXStACwcOHCdMvSqkql4O/UqVOyPDn//vuv2g8DUsu75Xla3sVFRER5kFaDv6yZ9jUxMVE6g6eqpKQkdO/eHeHh4Th16pTcfa2srJCYmIiYmBi50b/o6GjZiJaVlRVev36tcN83b95kOuX57fI0TZeqfevw4cOwtrZWel1YWBjs7e2ho6ODsLCwTK+tVq1apt9HRERAEASUKlUKQOrs6bZt22BnZ4chQ4ao3vnvqBT8fZtwUGzyQSIiIspf0gK/hw8f4t9//5VNd6apVasW9PX1cfz4cXTv3h0AEBkZiVu3bmHBggUAgPr16yM2NhaXLl1CnTp1AAAXL15EbGysRlOe6lI1mXKNGjVkU9Y1atSAIAhyU8Zpn1WZLXV2dpbtcI6KikLLli1RtWpVbNmyBVFRUZgxY4Zav0X0hg91/Pzzzzh58qTC3H5GGjVqhJ07d4ouV6ItUp3Ug4iIKCPafE9ou7bvp0+f8OjRI9nn8PBwXL9+Hebm5rC2tsbvv/+Oq1ev4q+//kJKSopsjZ65uTkMDAxgamoKV1dXuLm5oWjRojA3N4e7uzscHBxku3+rVKmCNm3aYPDgwVizZg2A1FQvHTp00Npmj9evX8Pd3R0nT55EdHS0wrq/9IK38PBwFC9eXPZnTdy6dUsW+O7atQv29vY4d+4cjh07hmHDhuXu4O/69eu4ceOGyiVWrl+/joSEhGzulQY47UtERMrkwWlfVV25cgVNmzaVfR4/fjyA1GnWWbNm4eDBgwCgUAr233//leW38/Pzg56eHrp37474+Hg0b94cQUFBcmvZtm7ditGjR8t2BTs5OaW7hi679O/fH8+fP8f06dNRokSJTNcapvm2aoeyCh7KJCUlydZdnjhxAk5OTgCAypUrIzIyUu37aiX4A4DmzZurvFNGlX+4RERElErbwV+TJk0yfaer8r43MjLCsmXLsGzZsgyvMTc3x5YtW0T1LSudPXsW//33n0IQqy1Vq1bF6tWr0b59exw/fhxz5swBALx69UphKl0MUcGfVCrF8+fPYWFhIStXogp1hj3TFjfmRtztS0REyvA9kffZ2NioleIlq8yfPx+//fYbFi5ciH79+qF69eoAgIMHD8qmg9UhOvirWLEibt++jYoVK6rcTtNhz1yHSZ6JiEiZPJjk+UcgJp2cstzC/v7+mDRpEtasWaNSUuas1qRJE7x9+xZxcXFy+yaGDBmCggULqn1fUcGfjo4OKlasiHfv3okK/n5EP9D/ToiIKI9j8Pc/pqamGrX/PjH058+fUb58eRQsWFChMIWYJNHqkkqlCA0NxePHj+Hs7AxjY2MYGBhoL/gDgAULFmDChAlYtWoV7O3t1X4wERERUVbTNJ9wVieG/vDhA/bs2YPHjx9jwoQJMDc3x9WrV2Fpaak0q8mzZ8/Qpk0bPH/+HAkJCWjZsiWMjY2xYMECfP36FatXr1arT6KDvz59+uDLly+oXr06DAwMFNb+aSMKznHc7UtERMpo8T0hhfh0Ld+3p1RZmRg6LCwMLVq0gKmpKZ4+fYrBgwfD3Nwc+/fvx7Nnz7Bp06ZM248ZMwa1a9fGjRs35DZ4/Pbbbxg0aJDa/RId/OV0qZTcgBs+iIhIGe2Wd+O0b5qaNWuqnDXk6tWrmX6vq6srK2/7rXfv3sHCwkJpkubx48ejf//+WLBggazkHAC0bdsWzs7OSvt39uxZnDt3DgYGBnLnbW1t8fLlS6XtMyI6+MuqiDgxMRHR0dGQSCRy50uXLp0l9yciIqL8p3Pnzll2r4x2+iYkJCgEZOm5fPmyLEH1t0qWLClLfJ0ZiUSSboD54sULuWBSLLXy/D1+/BgbNmzA48ePsWTJElhYWODIkSOwsbFB1apVM2378OFDDBw4ECEhIXLnVS11kitw2peIiJThyF+OmDlzpsb3WLp0KYDUvMPr1q1D4cKFZd+lpKTgzJkzqFy5stL7GBkZIS4uTuH8/fv3ZVVAMtOyZUv4+/sjICBA1p9Pnz5h5syZaNeunao/R4Ho4C84OBht27ZFw4YNcebMGXh5ecHCwgJhYWFYt24d9uzZk2n7/v37Q09PD3/99ZfK2bJzG077EhGRMpz2zR3U2XDh5+cHIHVgavXq1XJVRwwMDFCmTBmVNlt06tQJs2fPxq5duwCkBm/Pnz/HpEmT0LVrV6Xt/fz80LRpU9jZ2eHr169wdnbGw4cPUaxYMWzfvl2Vn58u0cHfpEmTMHfuXIwfP15uyLFp06ZYsmSJ0vbXr19HaGioShEzERERkbrU3XCRVpyiadOm2L9/P8zMzNR6/qJFi9CuXTtYWFggPj4ejo6OiIqKQv369eHl5aW0vbW1Na5fv47t27fj6tWrkEgkcHV1Re/evUUV2/ie6ODv5s2b2LZtm8L54sWL4927d0rb29nZ4e3bt2Ifm7tw2peIiJThyF+O02TDRVJSEp49e4ZXr16pHfyZmJjg7NmzOHXqlCx4+/nnn9GiRQuV71GgQAEMHDgQAwcOVKsP6REd/JmZmSEyMhJly5aVO3/t2jWl+WqA1FIlHh4e8Pb2hoODg0LCRBMTE7Fd0jpO+xIRkTLafE9IpQKkGjxQk7a5mSYbLvT19ZGQkJAly9OaNWuGZs2aqXTtwYMHVb6vk5OTWv0RHfw5Oztj4sSJ2L17NwRBgEQiwblz5+Du7o6+ffsqbZ8W7TZv3lzufJ7a8EFERJSLSCBolOdPk7a5maYbLv744w/Mnz8f69atg56eWntkcfLkSfj5+eHu3bsQBAGVK1fG2LFjMxz9U3W3siYxk+hf4uXlhf79+6NkyZKQSqWws7NDSkoKnJ2dMW3aNKXt//33X7U6mqtw2peIiJTheyLHabrh4uLFizh58iSOHTsGBwcHFCpUSO57ZbWBly9fjnHjxuH333/HmDFjAAAXLlxAu3bt4Ovri1GjRim0+T4FXnYQpBklsVHiyZMnsvnrmjVr5otav3FxcTA1NUX1vt7QNTDK6e4QEVEulpL4FTc2TUFsbGy2LWlKey/VPTAaeoUM1b5P8ucEXOy8NFv7mhPi4uLQrl073L59Gx8/foS1tbVsw8U///yjEMx9b8CAAZl+r6yUXMmSJTF58mSFIG/FihXw8vLCq1evVPshWUz0yN/s2bPh7u6OcuXKoVy5crLz8fHxWLhwIWbMmKH0Hh8+fEBgYKBsCNTOzg4DBw7UuBiz1nDkj4iIlOGavxyn6YYLTesEx8XFoU2bNgrnW7VqhYkTJ6p0j5MnT+LkyZPpFsZYv369Wv3SEdvA09MTnz59Ujj/5csXeHp6Km1/5coVlC9fHn5+fnj//j3evn0LX19flC9fXmmZFSIiIiKxmjVrBnd3d3h4eIjaaaspJycn7N+/X+H8n3/+iY4dOypt7+npiVatWuHkyZN4+/YtYmJi5A51iR75S9uY8b0bN27A3Nxcaftx48bByckJa9eulS2eTE5OxqBBgzB27FicOXNGbJe0jrt9iYhIGSZ5znmjR49GhQoVMHr0aLnzy5cvx6NHj+Dv76/0Hnv27MGuXbvw/PlzJCYmyn2nbNCqSpUq8PLywunTp1G/fn0AqWv+zp07Bzc3N1klkbS+fm/16tUICgqCi4uL0n6KoXLwV6RIEQiCAEEQUKlSJbkAMCUlBZ8+fcKwYcOU3ufKlStygR8A6OnpwcPDA7Vr1xbZ/RzCaV8iIlKG0745bu/evemmTmnQoAHmzZunNPhbunQppk6din79+uHPP//EgAED8PjxY1y+fBkjR45U+vzAwEAUKVIEd+7cwZ07d2TnzczMEBgYKPssCEK6wV9iYiIaNGig9DliqRz8+fv7QyqVYuDAgfD09JRbn5dW6iQtqs2MiYkJnj9/rlDhIyIiQqMixURERETfevfuXbr7CUxMTFQqOLFy5UoEBASgV69e2LhxIzw8PFCuXDnMmDED79+/V9o+rVKIugYNGoRt27Zh+vTpGt3neyoHf/369QMAlC1bFg0aNFBIzqyqHj16wNXVFYsWLUKDBg0gCALOnj2LCRMmoFevXmrdU+s48kdERMpoeeRPk6nbH3Xkr0KFCjhy5IjCbtvDhw/LbVrNyPPnz2UjbwUKFMDHjx8BAC4uLqhXrx6WL1+eafvTp0+jSZMm6nUewNevXxEQEIATJ06gWrVqCrGXr6+vWvcVvebP0dEREokEDx48SHfnya+//ppp+0WLFkEQBPTt2xfJyckAUrNoDx8+HPPmzRPbnRzBNX9ERKSMVit8AFAvcdv/2v+Ixo8fj1GjRuHNmzeyChsnT57E4sWLVVrvZ2VlhXfv3sHW1ha2tra4cOECqlevjvDwcKiSKa9NmzYoWbIkBgwYgH79+sHGxkZU/8PCwlCjRg0AwK1bt+S+06TyiOjg78KFC3B2dsazZ88Ufrgq2aYNDAywZMkS+Pj44PHjx5BKpahQoQIKFiwotitEREREGRo4cCASEhLg5eWFOXPmAADKlCmDVatWqVSVrFmzZjh06BB+/vlnuLq6Yty4cdizZw+uXLmCLl26KG3/6tUrbNmyBUFBQZg1axaaN28OV1dXdO7cGQYGBkrbZ1dhDNFJnmvUqIFKlSrB09MTJUqUUIg880yuPjWkJdN0GMQkz0RElLmUxK+4uU47SZ6r73GDbkH1kzynfEnAjd8X/3BJnr/15s0bFChQAIULF1a5jUQigUQikW1S3bVrF86ePYsKFSpg2LBhKgVwaa5fv47169dj+/btkEgk6N27N1xdXVG9enWV2r948QKCIKBkyZIqPzMjooO/QoUK4caNG6hQoYLKbbp06YKgoCCYmJgojZSVlUrJSWn/I7MfzOCPiIgyl5L4FbfWaif4q7bbXePgL6zboh86+MsNXr16hYCAAMybNw96enr4+vUr6tevj9WrV6Nq1aoK10skEsydOxeLFy+W5Vg2NjaGm5sbpk6dCh0d0emaAaiR5Llu3bp49OiRqDampqayEUITExOYmppmeBAREZE4aXn+NDnofxYsWID4+HjZ5zNnziAhIUH2+ePHjxgxYoRK90pKSsKePXvQrl072Nra4ujRo1i+fDlev36N8PBw2NjYoFu3bum2nTp1KpYvX4558+bh2rVruHr1Kry9vbFs2TKNdgCLHvnbv38/pk2bhgkTJsDBwUFh50m1atXU7kxuJxv5G8KRPyIiylxK4lfcCtDOyJ/9rgkaj/zd6r6QI3//T1dXF5GRkbCwsACQOnB1/fp12Q7h169fw9raOsN9Ds2aNcO+ffswffp0bN++HQDQp08fDBo0CPb29nLXPn/+HGXKlFHYQAsA1tbWWL16NZycnOTO//nnnxgxYgRevnyp1u8TveGja9euAFIXUaYRBEFW+UPZho+0fyBmZmZy5+Pi4tC5c2ecOnVKbJdU4uPjg3379uHevXsoUKAAGjRogPnz5+Onn34SfS/u9iUiImW0uttXquFu3x91u6+avh8XEzlOhuDgYCQmJuLOnTtYtmwZunbtmuH6QGtr6ww3drx//14hLzIAVK5cWaU8gxkRHfxpmrDw9OnTCuVRgNRcNv/9959G985McHAwRo4ciV9++QXJycmYOnUqWrVqhTt37qBQoULib8jgj4iIcglW+Mhd0oLFkydPKr1WT08Pjo6O6X5XvXp1LF++XK4MHJBank7VjSLpPlNsA1tbW7UeFBYWJvvznTt3EBUVJfuckpKCI0eOZMkOlowcOXJE7vOGDRtgYWGB0NBQpbkJiYiIKG86efIkTp48mW5u4vXr12fbcz9+/Agjo8yXiCmbYl+wYAHat2+PEydOoH79+hAEASEhIYiIiMA///yjdt9EB38AsHnzZqxevRrh4eE4f/48bG1t4e/vj7Jly6JTp07ptqlRo4asNnBaosVvFShQAMuWLVOnO2qJjY0FAJibm2d4TUJCgtwCz7i4uNQ/sMIHEREpw9q+Oc7T0xOzZ89G7dq1001Pl5l169bJ0sIkJycjKCgIxYoVAwBZpY/MVKpUKcPvVF0q5+joiAcPHmDFihW4d+8epFIpunTpghEjRsDa2lrl3/I90cHfqlWrMGPGDIwdOxZeXl6yjpuZmcHf3z/D4C8tG3a5cuVw6dIlFC9eXPadgYEBLCwsoKurq+bPEEcqlWL8+PFo1KiRwsLLb/n4+MDT01OxPdf8ERGREtp8T0ikAgQNHvij7vZdvXo1goKC4OLiIqpd6dKlsXbtWtlnKysrbN68WeGazOzZsyfTASZVWVtbw8vLS+P7fEt08Lds2TKsXbsWnTt3livHVrt2bbi7u2fYLm26OL3dLNo2atQohIWF4ezZs5leN3nyZIwfP172OS4uTnRpFiIiIsoZiYmJstq8Yjx9+lTjZzds2FC2W1iMsLAw2NvbQ0dHR27JXHrUzbCi1oaPmjVrKpw3NDTE58+flbb38fGBpaWl3G5hIHXe/c2bN5g4caLYLonyxx9/4ODBgzhz5gxKlSqV6bWGhoYwNExn6zynfYmISBnu9s1xgwYNwrZt2zTKiadtNWrUQFRUFCwsLGRL5tLbbazKtHFGRAd/ZcuWxfXr1xU2fhw+fBh2dnZK269Zswbbtm1TOF+1alX07Nkz24I/qVSKP/74A/v378fp06dRtmxZ9e+FH7cINhERZQ1tvidSgz9N1vxlYWdy2LczdhKJBAEBAThx4gSqVaumkJvY19c3W/pga2ur9lK28PBw2dI4TTOsZER08DdhwgSMHDkSX79+hVQqxaVLl7B9+3b4+Phg3bp1SttHRUWhRIkSCueLFy+OyMhIsd1R2ciRI7Ft2zb8+eefMDY2lu02NjU1RYECBbLtuURERD+aM2fOYOHChQgNDUVkZCT279+Pzp07y76XSqXw9PREQEAAYmJiULduXaxYsUKuhFlCQgLc3d2xfft2xMfHo3nz5li5cqXcrFxMTAxGjx6NgwcPAgCcnJywbNkyhVzB37p27Zrc5xo1agAAbt26JXdezOYPsTQJ2r4dXFM3w4oyooO/AQMGIDk5GR4eHvjy5QucnZ1RsmRJLFmyBD179lTa3sbGBufOnVMYeTt37pxGO1eUWbVqFQCgSZMmcuc3bNiA/v37i7sZp32JiEiZH3i37+fPn1G9enUMGDBAVvzhWwsWLICvry+CgoJQqVIlzJ07Fy1btsT9+/dhbGwMABg7diwOHTqEHTt2oGjRonBzc0OHDh0QGhoqGzVzdnbGixcvZOnahgwZAhcXFxw6dCjDvmWUMDkv2rhxI4oVK4b27dsDADw8PBAQEAA7Ozts375d7eBQrVQvgwcPxuDBg/H27VtIJBJRCxoHDRqEsWPHIikpSZby5eTJk/Dw8ICbm5s63VGJ2OzcmWLwR0REymgz+INm08xi27Zt2xZt27ZN/15SKfz9/TF16lR06dIFQGoQY2lpiW3btmHo0KGIjY1FYGAgNm/ejBYtWgAAtmzZAhsbG5w4cQKtW7fG3bt3ceTIEVy4cAF169YFAKxduxb169fH/fv3VarQFRsbi5SUFIVdt+/fv4eenl6uL2Xn7e0tG7w6f/48li9fDn9/f/z1118YN24c9u3bp9Z91drwkZycjIoVK8ry3QDAw4cPoa+vjzJlymTa3sPDA+/fv8eIESNklT6MjIwwceJETJ48WWx3cgRTvRARkTLaLe+WNSN/sny2/y/DjY+ZCA8PR1RUFFq1aiV3H0dHR4SEhGDo0KEIDQ1FUlKS3DXW1tawt7dHSEgIWrdujfPnz8PU1FQW+AFAvXr1YGpqipCQEJWCv549e6Jjx44YMWKE3Pldu3bh4MGDKidKjo6OTjdJtLq7bVUVERGBChUqAAAOHDiA33//HUOGDEHDhg0VZjLF0BHboH///ggJCVE4f/HiRZWmTwVBwPz58/HmzRtcuHABN27cwPv37zFjxgyxXSEiIqIsZGNjA1NTU9nh4+Mj+h5pa+otLS3lzltaWsq+i4qKgoGBAYoUKZLpNenNLFpYWMhVCcvMxYsX0bRpU4XzTZo0wcWLF5W2Dw0Nhb29PUqUKIFq1aqhRo0aqFmzpuz/ZrfChQvj3bt3AIBjx47JRkmNjIwQHx+v9n1Fj/xdu3YNDRs2VDhfr149jBo1SuX7REVF4f379/j1119haGgoy3adJ3Dal4iIlNHmeyKL5n0jIiLkpkLFjvp96/t3uirv+e+vSe96MfFCQkICkpOTFc4nJSWpFDwNGDAAlSpVQmBgICwtLbMsTrly5Qq+fPmitLxsy5YtMWjQINSsWRMPHjyQrf27ffu20pnWzIgO/gRBSLesSdq8ujLv3r1D9+7d8e+//0IQBDx8+BDlypXDoEGDYGZmhsWLF4vtktZx2peIiJTR6ntCw2nftM6amJhovA7OysoKgGJ2j+joaNlooJWVFRITExETEyM3+hcdHS1LymxlZYXXr18r3P/NmzcKo4oZ+eWXXxAQEKBQPnb16tWoVauW0vbh4eHYt2+fbOo1q7i4uODBgwdK46YVK1Zg2rRpiIiIwN69e1G0aFEAqSOSvXr1Uvv5ooO/xo0bw8fHB9u3b5ftxklJSYGPjw8aNWqktP24ceOgr6+P58+fo0qVKrLzPXr0wLhx4/JE8EdERETpK1u2LKysrHD8+HHZ1GhiYiKCg4Mxf/58AECtWrWgr6+P48ePo3v37gCAyMhI3Lp1CwsWLAAA1K9fH7Gxsbh06RLq1KkDIHUaNzY2VuWqHV5eXmjRogVu3LiB5s2bA0jdZHr58mUcO3ZMafvmzZvjxo0bWR78nTx5EklJSUqvMzMzw/LlyxXOp1d6VgzRwd+CBQvw66+/4qeffkLjxo0BAP/99x/i4uJw6tQppe2PHTuGo0ePKlTXqFixIp49eya2OzmD075ERKTMD1zh49OnT3j06JHsc3h4OK5fvw5zc3OULl0aY8eOhbe3NypWrIiKFSvC29sbBQsWhLOzM4DUHLuurq5wc3ND0aJFYW5uDnd3dzg4OMjWtVWpUgVt2rTB4MGDsWbNGgCpqV46dOig0mYPILXE2vnz57Fw4ULs2rULBQoUQLVq1RAYGIiKFSsqbb9u3Tr069cPt27dgr29vUKSaCcnJ5X68T0xqe0+fPiAS5cuKWw4EQRBdM3iNKKDPzs7O4SFhWH58uW4ceMGChQogL59+2LUqFEqFTD+/PkzChYsqHD+7du3Gq0t0CoGf0REpEwe3O2rqitXrshtpEirqtGvXz8EBQXBw8MD8fHxGDFihCzJ87Fjx2Q5/gDAz88Penp66N69uyzJc1BQkFxljK1bt2L06NGyXcFOTk7pjoRlpkaNGti6dauoNmlCQkJw9uxZHD58WOE7Vcqrffr0CaGhoYiKioIgCLC0tEStWrVQuHBhlZ5/6NAh9O7dG58/f4axsbHCekh1gz9BmqUJ8JRr3749fv75Z8yZMwfGxsYICwuDra0tevbsCYlEgj179mizO6LExcXB1NQUP43zhq6hUU53h4iIcrGUhK+47zcFsbGx2ZZPLu29VGb9NOgUVP+9JPnyFU8Hzs3Wvua0+Ph4halWZb+1TJky6NChA6ZPn67yOkMASE5OhpubG9auXYuvX7/CwMAAUqkUSUlJMDIywpAhQ7Bw4UKFkcTvVapUCe3atZONnGYVtZI8a2LhwoVo0qQJrly5gsTERHh4eOD27dt4//49zp07p+3uqIUbPoiISBltb/jQ6IE/6Evty5cv8PDwwK5du2QpU76lbOTu3bt3GDdunKjADwDc3Nywd+9ebNiwAa1bt5aVo/vw4QOOHj2KCRMmAAD8/f0zvc/Lly8xevToLA38ADXy/Gkqbdq4Tp06aNmyJT5//owuXbrg2rVrKF++vLa7ox6BBw8ePHjwUOHQkrQ1f5ocP6IJEybg1KlTWLlyJQwNDbFu3Tp4enrC2toamzZtUtq+S5cuapWL27ZtGzZt2oQePXrI1SE2MzNDjx49sGHDBpWmolu3bo0rV66Ifr4yWh/5A1K3b2u6UyVHafl/1ERElAfxPZHjDh06hE2bNqFJkyYYOHAgGjdujAoVKsDW1hZbt25F7969M21fqVIlTJ48GWfPnoWDg4PCNO3o0aPTbRcfHy9XBe17RYsWVSnPYPv27TFhwgTcuXMn3eeru+FEK2v+wsLCYG9vDx0dHYSFhWV6beHChWFjY6N0HjwnpK2tqOTONX9ERJS5lISveLBIO2v+bNdO13jN37PBc364NX+FCxfG7du3YWtri1KlSmHfvn2oU6cOwsPD4eDggE+fPmXavmzZshl+JwgCnjx5ku53HTt2RHx8PLZu3aowZfz69Wu4uLjAyMgIBw8ezPT5OjoZT9CqsuEkI1oZ+atRo4asTEuNGjUgCAIyizlNTU2xevVq9OjRQxvdE41r/oiISJm8WNv3R1OuXDk8ffoUtra2sLOzw65du1CnTh0cOnRIbjo2I+Hh4Wo9d+XKlWjXrh1KlSoFe3t7WXWQqKgo3Lp1C3Z2dvj777+V3uf7WsJZRaXgr2bNmiqXNLl69arCufDwcBQvXlz258wkJCRg9+7dmDhxYq4N/jjtS0RESmn7PfGDrtvTxIABA3Djxg04Ojpi8uTJaN++PZYtW4bk5GT4+voqbR8WFoZq1aql+92BAwfQuXPndL+zsbHBjRs3cPToUVy4cEFWi7hOnTrw8fFBq1atMh3VS8/Xr19hZJQ1s44qBX8Z/ThV2drapvvnjIwYMQKhoaEaPZOIiIjyt3Hjxsn+3LRpU9y7dw9XrlxB+fLlUb16daXtW7dujXPnzqFcuXJy5/fu3Yu+ffvi8+fPGbbV0dFB27Zt0bZtW7X7n5KSAm9vb6xevRqvX7/GgwcPUK5cOUyfPh1lypSBq6urWvdVKfibOXOmWjfPyIcPHxAYGIi7d+9CEARUqVIFrq6uMDU1BQAUKVIE+/bty9JnZiVO+xIRkTKc9s1dvn79itKlS6N06dIqtxk+fDiaN2+OkJAQWZ3inTt3YuDAgQgKCsqmnv6Pl5cXNm7ciAULFmDw4MGy8w4ODvDz81M7+NN6qpe0iNvPzw/v37/H27dv4efnh/Lly6c7ZZwr5XTqAB48ePDgkTcObZFmwfEDSklJwZw5c1CyZEkULlxYtkFj+vTpCAwMVNp+xowZcHJyQosWLfD+/Xts27YNAwYMwKZNm9CtWze1+1WlShW5SiYZ2bRpEwICAtC7d2+566tVq4Z79+6p/XyVRv6KFCmi8pq/9+/fZ/r9uHHj4OTkhLVr10JPL/XxycnJGDRoEMaOHYszZ86o9BwiIiKizGTFyNmSJUvg4uKCevXq4eXLl9i+fTs6deqkUb98fHwQGxur9LqXL1+iQoUKCuclEolCtRIxVAr+lGWgFuPKlStygR8A6OnpwcPDA7Vr186y52Q7bf4XHRERUaY0HWr8MV9qaSNnzZs3x7Bhw2TnMxs5Sy/9SufOnREcHIxevXpBEATZNerm2VN1L0XVqlXx33//KeyX2L17N2rWrKnWswEVg79+/fqp/YDvmZiY4Pnz56hcubLc+YiICLmCz7kZ1/wREZEy2i3vBs2mbn/QaV91Rs4yC8zWr1+P9evXA4BGefZUNXPmTLi4uODly5eQSCTYt28f7t+/j02bNuGvv/5S+75qrfl7/Pgxpk2bhl69eiE6OhoAcOTIEdy+fVtp2x49esDV1RU7d+5EREQEXrx4gR07dmDQoEHo1auXOt0hIiIiUpA2cva9zEbOJBKJSoeywO/GjRuYO3cuVq5cibdv38p9FxcXh4EDByrtf8eOHbFz5078888/EAQBM2bMwN27d3Ho0CG0bNlSafuMiE7yHBwcjLZt26Jhw4Y4c+YMvLy8YGFhgbCwMKxbtw579uzJtP2iRYsgCAL69u2L5ORkAIC+vj6GDx+OefPmqfcrtE3bC3mJiCjv4chfjsuukTNljh07ho4dO6JixYr4+PEjZs6ciV27dqFp06YAUsu/bdy4UTaKmJnWrVujdevWWdo/0SN/kyZNwty5c3H8+HEYGBjIzjdt2hTnz5/PtG1KSgrOnz+PmTNnIiYmBtevX8e1a9fw/v17+Pn5wdDQUPwvICIiyu/S1iNpcvyAsmvkTJlZs2bB3d0dt27dwtOnT+Hh4QEnJyccOXJE7Xt++vQJcXFxcoe6RI/83bx5E9u2bVM4X7x4cbx79y7Ttrq6umjdujXu3r0Lc3NzODg4iH18rvAD/++EiIiyCN8TuUN2jJwpc/v2bWzevBlA6trACRMmoFSpUvj999+xfft21KlTR6X7hIeHY9SoUTh9+jS+fv0qOy+VSrVb29fMzAyRkZEKxY6vXbuGkiVLKm3v4OCAJ0+eZFosmYiIiFQnlaYemrSnrGNoaIgPHz7InevVqxd0dHTQs2dPLF68WKX79O7dG0DqRpO0+sBZQXTw5+zsjIkTJ2L37t0QBAESiQTnzp2Du7s7+vbtq7S9l5cX3N3dMWfOHNSqVQuFChWS+97ExERsl7SPa/6IiEgZrvnLt2rUqIF///0XtWrVkjvfo0cPSCQSlbOohIWFITQ0FD/99FOW9k908Ofl5YX+/fujZMmSkEqlsLOzQ0pKCpydnTFt2jSl7du0aQMgNTfOtxGspkOYWsXgj4iIlNFq8KfheiTOUafr8+fPCA0NRWRkJHR1dVG2bFn8/PPPSkfghg8fnmHRirTMJgEBAUqf/8svvyAiIiLngz99fX1s3boVc+bMwdWrVyGRSFCzZk1UrFhRpfb//vuv6E4SERERqSIuLk7jWUSJRIJJkyZhxYoVsrV20v+fGy9dujSWLVuGjh07Ztj+t99+w2+//Zbh97169VIpvd26deswbNgwvHz5Evb29tDX15f7vlq1aqr8HAWig7805cqVQ7ly5US3c3R0VPeRuQc3fBARkTJafE8I0tRDk/Y/iiJFiiAyMhIWFhZo1qwZ9u3bBzMzM1H3mDJlCv766y9s27YNRkZG8PLyQocOHeDk5IRt27ahW7duOHjwIFq1apU9P+L/vXnzBo8fP8aAAQNk5wRB0P6Gj99//x21a9fGpEmT5M4vXLgQly5dwu7du5XeIyYmBoGBgbh79y4EQUCVKlUwYMAAmJubi+1OzuC0LxERKcM1fzmicOHCePfuHSwsLHD69Gm1auBu3rwZO3bsQOPGjQEA9vb2qFy5MsaMGYPZs2dDX18fs2bNyvbgb+DAgahZsya2b9+esxs+goODMXPmTIXzbdq0waJFi1Rq7+TkBFNTU1kt36VLl2L27Nk4ePDgjzEySERERDmiRYsWaNq0KapUqQIgdQr227zE3zp16lS65z9+/CiXwaREiRL4+vUrYmJiYGVlha5du2qlMMWzZ89w8ODBdEvUaUJ08Pfp06d0/yHq6+urlHBw5MiR6NGjB1atWgVdXV0AqcmfR4wYgZEjR+LWrVtiu6R1zPNHRETKaLe2Lzd8pNmyZQs2btyIx48fIzg4GFWrVkXBggVF3cPBwQHbt2/H1KlTAQC7du1C4cKFYWVlBSB1TaA2ClM0a9YMN27cyPngz97eHjt37sSMGTPkzu/YsQN2dnZK2z9+/Bh79+6VBX5AavLn8ePHY9OmTWK7kzM47UtERMpw2jdHFChQAMOGDQMAXLlyBfPnzxe95m/27Nlo3749Dh48CCMjI4SEhGDhwoWy748cOZJhbeCs1LFjR4wbNw43b96Eg4ODwoYPJycnte4rOvibPn06unbtisePH6NZs2YAgJMnT2L79u0qrff7+eefcffuXYVty3fv3kWNGjXEdoeIiIgoXd9mGEnbravKurnmzZvj0qVL2LlzJxISEjBt2jS5cnDu7u5wd3dPt+348eNV7p+vr2+m36cFsbNnz1b4TqsbPpycnHDgwAF4e3tjz549KFCgAKpVq4YTJ06otF5v9OjRGDNmDB49eoR69eoBAC5cuIAVK1Zg3rx5CAsLk12r7hbmbKfptioiIvrxafM9wZG/DG3atAkLFy7Ew4cPAQCVKlXChAkT4OLikmm7atWqqRWHXLt2Te5zaGgoUlJSZINeDx48gK6urkIC6PRIJBLRz1eFWqle2rdvj/bt26v1wLS8Nh4eHul+lxVbmLMb1/wREZEy2l3zBwZ/6fD19cX06dMxatQoNGzYEFKpFOfOncOwYcPw9u1bjBs3Lsuf+e1oo6+vL4yNjbFx40YUKVIEQGrGkwEDBsh2EucEtfP8qSs8PFzbj8x6XPNHRETK8D2R45YtW4ZVq1bJlZ/t1KkTqlatilmzZmVL8PetxYsX49ixY7LAD0jNQzh37ly0atUKbm5uCm2WLl2KIUOGwMjICEuXLs30/qNHj1arX1oP/mxtbbX9SCIioh8bd/umKzIyEg0aNFA436BBA0RGRmb78+Pi4vD69WtUrVpV7nx0dDQ+fvyYbhs/Pz/07t0bRkZG8PPzy/DegiDkneDvh8CRPyIiUoYVPnJchQoVsGvXLkyZMkXu/M6dO1UuS6uJ3377DQMGDMDixYvl9jlMmDABXbp0SbfNtzOk2TVbqlLwlxV18nKLlStXYuHChYiMjETVqlXh7+8vet6da/6IiEgZrvnLeZ6enujRowfOnDmDhg0bQhAEnD17FidPnsSuXbuy/fmrV6+Gu7s7+vTpI6s0oqenB1dXV7nUMdqmUvCXFXXycoOdO3di7NixWLlyJRo2bIg1a9agbdu2uHPnDkqXLp3T3SMiIqIs1LVrV1y8eBF+fn44cOAApFIp7OzscOnSpQzz9NWsWVPlMmpXr17N9PuCBQvKBp0eP34MqVSKChUqoFChQhm2ycpUMRlRKfjLijp5uYGvry9cXV0xaNAgAIC/vz+OHj2KVatWwcfHR/UbcdqXiIiU4XsiV6hVqxa2bNmi8vWdO3fO8j4UKlRI5bQxWZkqJiMqBX9ZUScvpyUmJiI0NBSTJk2SO9+qVSuEhISIuxmDPyIiUkaba/6g4Zo/kdcnJydj1qxZ2Lp1K6KiolCiRAn0798f06ZNg46ODoDUpMqenp4ICAhATEwM6tatixUrVshtfkhISIC7uzu2b9+O+Ph4NG/eHCtXrkSpUqXU/zEamjlzpkbtu3TpgqCgIJiYmGS4ri/Nvn37FM5pI1WMSsGfpnXyihQpovIQ6vv371W+rxhv375FSkoKLC0t5c5bWloiKioq3TYJCQlISEiQfValdjEREdGPbv78+Vi9ejU2btyIqlWr4sqVKxgwYABMTU0xZswYAMCCBQvg6+uLoKAgVKpUCXPnzkXLli1x//59GBsbAwDGjh2LQ4cOYceOHShatCjc3NzQoUMHhIaGypWBzUtMTU1lMY+pqalG91InVYwqVAr+NK2T5+/vr07fssX3QWhaQun0+Pj4wNPTM52bsMIHEREpodUKH9pN9XL+/Hl06tRJVvChTJky2L59O65cuZJ6O6kU/v7+mDp1qmz0a+PGjbC0tMS2bdswdOhQxMbGIjAwEJs3b0aLFi0ApA422djY4MSJE2jdurX6vyeLpKSkwM/PD7t27cLz58+RmJgo9316A1YbNmwAkPrPYNasWShevLioAbNvqZMqRhWiU72oUyevX79+Yh+T5YoVKwZdXV2FUb7o6GiF0cA0kydPllt4GRcXBxsbm9RNVZz2JSKiTGh1iCCLdvt+P8NlaGgIQ0NDhcsbNWqE1atX48GDB6hUqRJu3LiBs2fPygZ7wsPDERUVhVatWsndy9HRESEhIRg6dChCQ0ORlJQkd421tTXs7e0REhKSK4I/T09PrFu3DuPHj8f06dMxdepUPH36FAcOHMCMGTMybSuVSlGxYkXcvn1b7bQy6qSKUYWOOo02bdoEBwcHFChQQFbbd/PmzaLvEx8fj7i4OLkjuxgYGKBWrVo4fvy43Pnjx4+nmwASSP0X1cTERO4gIiL6UdnY2MDU1FR2ZLQZcuLEiejVqxcqV64MfX191KxZE2PHjpWVcE0baMlsqVVUVBQMDAzkpjS/v0ZTr1+/zvC7sLAwpe23bt2KtWvXwt3dHXp6eujVqxfWrVuHGTNm4MKFC5m21dHRQcWKFfHu3TvR/U6zevVqtG/fHn369IGtrS1sbW3Ru3dvtG3bFitXrlT7vqKDP19fXwwfPhzt2rXDrl27sHPnTrRp0wbDhg3LNBN1ms+fP2PUqFGwsLBA4cKFUaRIEbkjO40fPx7r1q3D+vXrcffuXYwbNw7Pnz+XTWkTERHlSdIsOABEREQgNjZWdkyePDndx+3cuRNbtmzBtm3bcPXqVWzcuBGLFi3Cxo0b5a4Ts9RKzDWqcnBwwMGDBxXOL1q0CHXr1lXaPioqCg4ODgBSM5/ExsYCADp06IC///5bafsFCxZgwoQJuHXrlsiep0pLFfPu3Ttcu3YNV69exfv377Fy5cpM08UoI3raV9M6eR4eHvj333+xcuVK9O3bFytWrMDLly+xZs0azJs3T/wvEKFHjx549+4dZs+ejcjISNjb2+Off/4RX3KOu32JiEiZPFjhQ9VZrgkTJmDSpEno2bMngNQg69mzZ/Dx8UG/fv1gZWUFALKdwGm+XWplZWWFxMRExMTEyA3+REdHZzgjJ9bEiRPRo0cP9OvXD35+fnj//j1cXFxw+/Zt7Ny5U2n7UqVKITIyEqVLl0aFChVw7Ngx/Pzzz7h8+XK60+Hf69OnD758+YLq1avDwMAABQoUkPte1U2uYlLFqEJ08KdpnbxDhw5h06ZNaNKkCQYOHIjGjRujQoUKsLW1xdatW9G7d2+xXRJlxIgRGDFihEb3YIUPIiJS5keu8PHlyxdZSpc0urq6kEgkAICyZcvCysoKx48flyVTTkxMRHBwMObPnw8gNf+evr4+jh8/ju7duwNIjTFu3bqFBQsWaPBj/sfNzQ0tWrRAnz59UK1aNbx//x716tVDWFhYhuv9v/Xbb7/h5MmTqFu3LsaMGYNevXohMDAQz58/VzrYBai34fXbVDGq6N27N/z8/GBhYaHyM0QHf5rWyXv//j3Kli0LIPW/MNKi3kaNGmH48OFiu0NERERa1rFjR3h5eaF06dKoWrUqrl27Bl9fXwwcOBBA6nTv2LFj4e3tjYoVK6JixYrw9vZGwYIF4ezsDCA1DYqrqyvc3NxQtGhRmJubw93dHQ4ODrLdv1mhXLlyqFq1Kvbu3QsA6N69u0qBHwC5Gcnff/8dNjY2OHfuHCpUqAAnJyel7dXZ8Prnn3/izZs3Kl0rlUpx6NAhzJkzJ3uDP03r5JUrVw5Pnz6Fra0t7OzssGvXLtSpUweHDh3KOyXjmOqFiIiU0WqqF2h15G/ZsmWYPn06RowYgejoaFhbW2Po0KFyO2A9PDwQHx+PESNGyJI8Hzt2TJbjDwD8/Pygp6eH7t27y5I8BwUFZVmOv3PnzqFPnz4oWrQowsLCcO7cOfzxxx/4+++/sWbNGtF7DerWravSWsHv3b59GykpKbLPurq6Culb0kilUlSqVEn0M8QQpGn5WkQIDQ2Fn58f7t69K6uT5+bmlmGdvG/5+flBV1cXo0ePxr///ov27dsjJSUFycnJ8PX1lSWHzI3i4uJgamoKm8VzoFPAKKe7Q0REuZgk/isi3KYjNjY227JFpL2Xys72go6R+u8lydevCJ8xNVv7mhMMDQ0xbtw4zJkzB/r6+gCAx48fw8XFBc+fP8eLFy8ybe/j4wNLS0vZiGaa9evX482bN5g4cWK67f777z+MHz8ely9fBgAYGxvjy5cvcinyjh49mu4IZ3BwsOjfWa9ePZXWIKYRPfIHiK+T961v58ibNm2Ku3fvIjQ0FOXLl0f16tXVuicRERHR944dOwZHR0e5c+XLl8fZs2fh5eWltP2aNWuwbds2hfNVq1ZFz549Mwz+Vq5cCRcXF7lz//77L2xtbSGVSrF06VKsWrUq3eDv+/5mB7WCv6yUlrcmT+FuXyIiUkarGz60W+Ejr0gLpB49eoTHjx/j119/RYECBSAIAqZPn660/fe7ldMUL148002uly9fVpjJLFWqlCzecXFxkVVHyQlqJXnW1MmTJ9GhQweUL18eFSpUQIcOHXDixImc6Ip6BB48ePDgwUOFQ1uyKM/fj+bdu3do3rw5KlWqhHbt2skCtkGDBsHd3V1p+7QNHt87d+4crK2tM2z38uVLuaBx48aNsvQ3AGBubq5R8mdNaT34W758Odq0aQNjY2OMGTMGo0ePhomJCdq1a4fly5druztERET0gxo3bhz09fXx/Plzufq6PXr0wOHDh5W2HzRoEMaOHYsNGzbg2bNnePbsGdavX49x48Zh8ODBGbYzNjZGeHi47HOXLl3knh8eHp6jayu1Pu3r4+MDPz8/jBo1SnZu9OjRaNiwIby8vOTO51rc7UtERMpo8T2RVUmefzTHjh3D0aNHUapUKbnzFStWxLNnz5S29/DwwPv37zFixAgkJiYCAIyMjDBx4sQMq58AqbuC03IapycoKEitXcNZRe3g7/v5c1XLscTFxaFNmzYK51u1apXhwslcR9vD+URElPfkxLSvJu1/QJ8/f5YbcUvz9u1blXbHCoKA+fPnY/r06bh79y4KFCiAihUrKm07fvx4tGjRAkWLFsWECRNkOfiio6Mxf/58bNmyBceOHVPvR2UB0dO+7969Q4sWLdKdP3dzc1Pa3snJCfv371c4/+eff6Jjx45iu0NERESUrl9//RWbNm2SfRYEARKJBAsXLkTTpk1Vvk/hwoXxyy+/wN7eXqWgsWnTpli2bBmWLl2KEiVKoEiRIjA3N0eJEiWwfPly+Pv7o1mzZmr9JgCYMmWKQvoZMUSP/I0bNw56enp4/vw5qlSpIjvfo0cPjBs3DosXL1Zos3TpUtmfq1SpAi8vL5w+fRr169cHAFy4cAHnzp1TKXjMDVjejYiIlNF2eTeNpm5/0JG/hQsXokmTJrhy5QoSExPh4eGB27dv4/379+lu5ADky6t16dIl0/vv27cvw+9GjBiBjh07Ys+ePXj48CGA1OnmtEohmnj58iUiIiLUbi86+FNn/tzPz0/uc5EiRXDnzh3cuXNHds7MzAzr16/HtGnTxHZJ+7jmj4iIlPmBK3zkFXZ2dggLC8OqVaugq6uLz58/o0uXLhg5cmS6KVyA1LJzacvYTE1NNXq+jY2NSjWAxdq4caNG7UUHf+rMn3+74+WHwDV/RESkDNf85QpWVlbw9PRU+foNGzYASC2zNmvWLBQvXjzduEesefPmYdiwYbmilK3o4C9t/nzOnDkA1J8/ByBX5oSIiIhIU2FhYSpfW61atQy/k0qlqFixIm7fvo2KFStq3C9vb290795dVPD34sULmJmZoXDhwnLnk5KScP78efz6669q9UV08KfO/Pn3Nm3ahIULF8rmwCtVqoQJEyYolELJrQQh9SAiIsqINt8TTPXyPzVq1IAgCApZSNIbcEpJScnwPjo6OqhYsSLevXuXJcFf2vNVERkZiU6dOiE0NBSCIKB3795YsWKFLAh8//49mjZtmmn/MyM6+FNn/vxbvr6+mD59OkaNGoWGDRtCKpXi3LlzGDZsGN6+fZstc+NZjmv+iIhIGb4ncsS3S82uXbsGd3d3TJgwQbbJ9Pz581i8eDEWLFig9F4LFizAhAkTsGrVKtjb22dbn783adIk6Orq4uLFi/jw4QMmT56MJk2a4Pjx4yhSpAgAccHk9wSpyNbPnz+HjY1NulO1z58/R+nSpTNtX7ZsWXh6eqJv375y5zdu3IhZs2bl6vWBcXFxMDU1hc3KWdApYJTT3SEiolxMEv8VESNmITY2NtuqOaS9l8pP8YaukfrvpZSvX/HYe0q29jUn1KlTB7NmzUK7du3kzv/zzz+YPn06QkNDM21fpEgRfPnyBcnJyTAwMECBAgXkvn///r3KfYmIiIC1tTV0dXWVXluyZEns378fderUAQAkJCSgR48eePbsGU6ePImkpCRYW1trb+SvbNmyiIyMlCUsTPPu3TuULVtWaUciIyPRoEEDhfMNGjTItEhyrsINH0REpAw3fOS4mzdvomzZsgrny5YtK5dxJCP+/v5qPffSpUuoVauWLNCTSqVy6V0SEhLw559/onv37um2j42NlY3wAYChoSH27NmDbt26oWnTptiyZYta/UojOvjLqJLHp0+fYKTCf3VUqFABu3btwpQpU+TO79y5M0vm1LWCwR8RESnDNX85rkqVKpg7dy4CAwNlMUpCQgLmzp0rl6s4I/369VPrufXr15cbKDM1NcX169dRrlw5AMCHDx/Qq1evDIO/cuXKISwsTC4u0tPTw+7du9GtWzd06NBBrX7J7qXqhePHjweQulBy+vTpctueU1JScPHiRdSoUUPpfTw9PdGjRw+cOXMGDRs2hCAIOHv2LE6ePIldu3aJ/wVERERE6Vi9ejU6duwIGxsbVK9eHQBw48YNCIKAv/76K902cXFxKt8/oyny71fUpbfCLrNVd23btkVAQAC6du0qdz4tAOzatStevHihcj+/p3Lwd+3aNQCpnb158yYMDAxk3xkYGKB69epwd3dXep+uXbvi4sWL8PPzw4EDByCVSmFnZ4dLly6hZs2aavyEnKDp+DoREf34tPye4GtJQZ06dRAeHo4tW7bg3r17kEql6NGjB5ydnVGoUKF025iZmamcgk7dNXdA5mnuvLy88OXLl3S/09PTw759+7QT/P37778AgAEDBmDJkiUaLQitVauWxvPVOYrTvkREpAzX/OUKBQsWxJAhQ1S+Pi3eAYCnT59i0qRJ6N+/v9xu4Y0bN8LHxyfL+5pGT08v0zhLV1cXtra26t9fbIO0zNdiZMUQKhEREZFYDx48wOnTpxEdHQ2JRCL33YwZMxSud3R0lP159uzZ8PX1Ra9evWTnnJyc4ODggICAgEzXBN65cwdRUVEAUmdN7927h0+fPgFIrYqmzN27d3HhwgXUr18flStXxr1797BkyRIkJCSgT58+aNasmdJ7ZER08AcAly9fxu7du/H8+XMkJibKfZdekWNVhlDTNpJoMoSqLYIghfCjro4lIqIsoc33BDd8pG/t2rUYPnw4ihUrBisrK7lYRBCEdIO/b50/fx6rV69WOF+7dm0MGjQo07bNmzeXW9eXtkkjvQTU3zty5Ag6deqEwoUL48uXL9i/fz/69u2L6tWrQyqVonXr1jh69KjaAaDo4G/Hjh3o27cvWrVqhePHj6NVq1Z4+PAhoqKi8Ntvv6Xb5tsh1B8Gp32JiCi34LRvuubOnQsvLy9MnDhRrfY2NjZYvXo1Fi9eLHd+zZo1cqlbvqdpzuLZs2djwoQJmDt3Lnbs2AFnZ2cMHz4cXl5eAICpU6di3rx52gv+vL294efnh5EjR8LY2BhLlixB2bJlMXTo0AwrfHw7hPoj4MgfEREpw5G/nBcTE4Nu3bqp3d7Pzw9du3bF0aNHUa9ePQDAhQsX8PjxY+zduzfDdpqsxwOA27dvY9OmTQCA7t27w8XFRW7nb69evRAYGKj2/XXENnj8+DHat28PIDXp4OfPnyEIAsaNG4eAgACl7cPCwtI9bt68iYcPHyIhIUH8ryAiIiL6Trdu3XDs2DG127dr1w4PHz6Ek5MT3r9/j3fv3qFTp0548OCBQtWQb71//15hN+7t27cxYMAAdO/eHdu2bVO5Dzo6OjAyMoKZmZnsnLGxMWJjY0X/njSiR/7Mzc3x8eNHAKnlR27dugUHBwd8+PAhw23J30oruJwRfX199OjRA2vWrFEpaXSO4G5fIiJShrt9c1yFChUwffp0XLhwAQ4ODtDX15f7fvTo0UrvUapUKXh7e4t67siRI1GiRAn4+voCAKKjo9G4cWNYW1ujfPny6N+/P1JSUuDi4pJu+zJlyuDRo0eoUKECgNS1h9+Wz42IiMhwtlUVooO/xo0b4/jx43BwcED37t0xZswYnDp1CsePH0fz5s2Vtt+/fz8mTpyICRMmoE6dOpBKpbh8+TIWL16MmTNnIjk5GZMmTcK0adOwaNEitX5UdhOE1IOIiCgjWn1PMPhLV0BAAAoXLozg4GAEBwfLfScIgkrB34cPH3Dp0qV0dwv37ds33TYXLlyQy46yadMmmJub4/r169DT08OiRYuwYsWKDIO/4cOHy22Atbe3l/v+8OHD2t3tu3z5cnz9+hUAMHnyZOjr6+Ps2bPo0qULpk+frrS9l5cXlixZgtatW8vOVatWDaVKlcL06dNx6dIlFCpUCG5ubrk2+CMiIqLcT9ONF4cOHULv3r3x+fNnGBsbK+wWzij4i4qKkqspfOrUKfz222/Q00sNu5ycnDLNEzhs2LBM+5W28UNdak37ptHR0YGHhwc8PDxUbn/z5s10F0La2tri5s2bAFKnhiMjI8V2TXs0XVlLREQ/Pm74yPPc3NwwcOBAeHt7y5W1VcbExAQfPnyQxTuXLl2Cq6ur7HtBEHJ0j4Naef4kEgkePXqU7hDor7/+mmnbypUrY968eQgICJCViEtKSsK8efNQuXJlAMDLly9haWmpTte0grt9iYhIGa2+JzjtKzN+/HjMmTMHhQoVwvjx4zO9Nm1NXkZevnyJ0aNHiwr8gNSyckuXLsXatWuxb98+fPz4UW6a9sGDBxmmiunSpYvKz0kvt7IqRAd/Fy5cgLOzM549e6ZQlFiVJM0rVqyAk5MTSpUqhWrVqkEQBISFhSElJUVWZPnJkycYMWKE2K4RERFRPnft2jUkJSXJ/pwRVer3tm7dGleuXEG5cuVE9WHOnDlo0aIFtmzZguTkZEyZMgVFihSRfb9jx44M0+CZmprK/iyVSrF//36Ympqidu3aAIDQ0FB8+PBBVJD4PdHB37Bhw1C7dm38/fffKFGihMrFj9M0aNAAT58+xZYtW/DgwQNIpVL8/vvvcHZ2hrGxMQBkuAAyt+CGDyIiUoYbPnLGt4UlNC0y0b59e0yYMAF37txJd7ewk5NTuu1q1KiBu3fvIiQkBFZWVqhbt67c9z179kTVqlXTbfvtRpGJEyeie/fuWL16NXR1dQEAKSkpGDFihEblcAXp98N3ShQqVAg3btyQbT/OT+Li4mBqaopyG6dAt2AuTUNDRES5QsqXr3jSzxuxsbHZVrc+7b1UebQ3dA3Vfy+lJHzFvaVTsrWveZGOTsbpkDUpSfvu3Tts3rwZY8eOzfS64sWL4+zZs/jpp5/kzt+/fx8NGjTAu3fv1Hq+6CTPdevWxaNHj9R6GBEREVFeIZFIMjzEBn5SqRRHjx5F9+7dYW1trdKO3eTkZNy9e1fh/N27dxX2XIghetr3jz/+gJubG6KiotIdAq1WrZranckzmOSZiIiU4bQvAXj69CnWr1+PoKAgvHz5Er1798bff/+Npk2bKm07YMAADBw4EI8ePZIrLzdv3jwMGDBA7T6JDv7SassNHDhQdk4QBEilUo2GQPMS7vYlIiJlWNs3b1q6dCmGDBkCIyMjLF26NNNrM0oSnZCQgH379mHdunUICQlB27Zt4evri169emHSpEmws7NTqS+LFi2ClZUV/Pz8ZCnwSpQoAQ8PD7i5uYn7Yd8QHfxpmjCRiIiIslgOjPy9fPkSEydOxOHDhxEfH49KlSohMDAQtWrVSr2lVApPT08EBAQgJiYGdevWxYoVK+Q2OiQkJMDd3R3bt29HfHw8mjdvjpUrV6JUqVIa/BjN+Pn5oXfv3jAyMoKfn1+G12VWIaRkyZKws7NDnz59sGfPHtlO3169eonqy7f5lOPi4gAgS9Zkig7+0kvQLNazZ88QFRUFQRBgaWmZJffUJs76EhGRMj/yeyImJgYNGzZE06ZNcfjwYVhYWODx48cwMzOTXbNgwQL4+voiKCgIlSpVwty5c9GyZUvcv39flt1j7NixOHToEHbs2IGiRYvCzc0NHTp0QGhoqGx3qyasra3RpEkTNGnSBI6OjgobJ9Lz7SCXugNeKSkpEAQBgiBo/DuSk5Nx+vRpPH78GM7OzgCAV69ewcTEBIULF1brnioFfwcPHkTbtm2hr6+PgwcPZnptRtuegdRo2tfXF69evZLlCBQEAdbW1nBzc1O660VdT58+xZw5c3Dq1ClERUXB2toaffr0wdSpU2WJpsXgtC8RESnzIyd5nj9/PmxsbOTSkpQpU+Z/t5NK4e/vj6lTp8ry0W3cuBGWlpbYtm0bhg4ditjYWAQGBmLz5s1o0aIFAGDLli2wsbHBiRMn5MrAqmvx4sUIDg6Gr68vhg0bBktLSzg6OsqCwSpVqmj8jPRERkZi7969CAwMxJgxY9C2bVv06dNHdHq8Z8+eoU2bNnj+/DkSEhLQsmVLGBsbY8GCBfj69StWr16tVv9UCv46d+6MqKgoWFhYoHPnzhlel9mavzlz5mDRokWYMmUKWrduDUtLS0ilUkRHR+Po0aOYNWsWPn36hGnTpqn1QzJz7949SCQSrFmzBhUqVMCtW7cwePBgfP78Wa36wal5/hj8ERFRxrSZ50/TGam0tmlTi2kMDQ1haGiocP3BgwfRunVrdOvWDcHBwShZsiRGjBiBwYMHA0gdMYuKikKrVq3k7uXo6IiQkBAMHToUoaGhSEpKkrvG2toa9vb2CAkJyZLgr1evXrKp1tevX+Pff//FX3/9hT/++CPDHbvKqoJ8K6MKIUZGRujduzd69+6Nx48fY8OGDRg9ejSSk5Ph5eWF/v37o1mzZkpHBceMGYPatWvjxo0bKFq0qOz8b7/9hkGDBqncz++pFPx9u51Y3a3FAQEB2Lhxo0LwaG1tjRo1aqBSpUoYNWpUtgR/bdq0QZs2bWSfy5Urh/v372PVqlVqBX9EREQ/ou9Ljs2cOROzZs1SuO7JkydYtWoVxo8fjylTpuDSpUsYPXo0DA0N0bdvX0RFRQGAQqlWS0tLPHv2DAAQFRUFAwMDucoXadektc8Knz59wtmzZxEcHIzTp0/j2rVrcHBwyLDCRmZVQb6l6ihe+fLlMXfuXMyePRtHjx5FYGAgOnTogMKFCyvN03f27FmcO3dOYZbS1tYWL1++VOn56VGrtq863r17l+lce6VKlRATE6Ot7iA2Nhbm5uaZXpOQkCBXeDntv4hY4YOIiJTJixU+IiIi5DYUpDfqB6QOBNWuXRve3t4AgJo1a+L27dtYtWoV+vbtK7vu+wApLTNIpl1R4RpV1a1bF2FhYbC3t0eTJk0wZcoUNG7cWG5t4vc0rQqSER0dHbRt2xZt27bFmzdvsHnzZqVtMhqdfPHihWzdpDpUCv6UbXX+VkY7X+rUqQMvLy8EBQVBT0/+scnJyfD29kadOnVUfo4mHj9+jGXLlmHx4sWZXufj4wNPT0+F8zqCFDqc9iUiokxI82CqFxMTE5V2k5YoUUIhXUmVKlWwd+9eAICVlRWA1NG9EiVKyK6Jjo6WjQZaWVkhMTERMTExcqN/0dHRaNCggfo/5hsPHz5EwYIFUa5cOZQrVw4VKlTINPD7XlBQEHr06IECBQqIeu6lS5dQq1Yt2bTu9wGtiYmJSjuaW7ZsCX9/fwQEBABIDaY/ffqEmTNnol27dqL69C2VyruVLVtW7vObN2/w5csX2T/ADx8+oGDBgrCwsMCTJ0/SvcfNmzfRqlUrJCQkwNHREZaWlhAEAVFRUThz5gwMDQ1x/PjxDGvdpWfWrFnpBmffunz5sqwYMpC6Q8bR0RGOjo5Yt25dpm3TG/mzsbFBle0ToVsw/f8aIiIiAoCULwm422u+Vsq7VR2meXm326tVL+/m7OyMiIgI/Pfff7Jz48aNw8WLFxESEgKpVApra2uMGzcOHh4eAIDExERYWFhg/vz5sg0fxYsXx5YtW9C9e3cAqRslSpUqhX/++SdL1vwBQFhYGE6fPo3g4GD8999/0NHRgaOjI5o2bYphw4Zl2rZEiRL4/PkzunXrBldXV5WDUl1dXURGRsLCwgJAarB3/fp1lCtXDkDq+kNra2uluZFfvXqFpk2bQldXFw8fPkTt2rXx8OFDFCtWDGfOnJHdXyyVRv6+3eq8bds2rFy5EoGBgbJp3Pv372Pw4MEYOnRohvdwcHDAgwcPsGXLFly4cEF2TysrK3h5ecHZ2Vn0/zhGjRqFnj17ZnrNt7uP0v4h1q9fXxZFZyajha7c7UtERMr8yLt9x40bhwYNGsDb2xvdu3fHpUuXEBAQIDdCNXbsWHh7e6NixYqoWLEivL29UbBgQVm6ElNTU7i6usLNzQ1FixaFubk53N3d4eDgINv9mxWqVauGatWqYfTo0QgNDcXy5cuxZcsW7NmzR2nw9+LFC/z9998ICgpC06ZNUbZsWQwYMAD9+vWTjW6m5/txtfTG2VQYe4O1tTWuX7+O7du34+rVq5BIJHB1dUXv3r1Fj0Z+S6WRv2+VL18ee/bsQc2aNeXOh4aG4vfff8+1SaBfvnyJpk2bolatWtiyZYtaeXdk/4W1cwJH/oiIKFMpXxJwu8dC7Yz8DfWGroEGI3+JX3F7jeojfwDw119/YfLkyXj48CHKli2L8ePHy3b7Av9L8rxmzRq5JM/29vaya75+/YoJEyZg27Ztckmev994oq5r167h9OnTOH36NP777z98/PgR1atXR5MmTdC0aVO0b99e5XtFR0djy5YtCAoKwr1799CmTRu4urqiY8eO0NHRkbtWR0dHliUFAIyNjXHjxg3RI3/ZRfSGj8jISCQlJSmcT0lJwevXr7OkU1nt1atXaNKkCUqXLo1FixbhzZs3su8yi9yJiIgofR06dECHDh0y/F4QBMyaNSvd3cJpjIyMsGzZMixbtiwbegj88ssvqFmzJhwdHTF48GD8+uuvagfiFhYWaNiwIe7fv48HDx7g5s2b6N+/P8zMzLBhwwY0adIkazv//x48eIDTp08jOjpaIePKjBkz1Lqn6OCvefPmGDx4sKyEiyAIuHLlCoYOHarRMG2LFi3w5MmTDNcMauLYsWN49OgRHj16pLDAUuTAJwDu9iUiIuW0muePtX3T9f79e41HXV+/fo3Nmzdjw4YNePLkCTp37oy//voLLVq0QHx8PKZNm4Z+/frJUtikuXPnjixljVQqxb179/Dp0ycAwNu3b1V69tq1azF8+HAUK1YMVlZWcptGBEFQO/gTPe375s0b9OvXD0eOHIG+vj6A1N26rVu3RlBQkNqLD1esWIG3b99i5syZarXXhrTh9Wq73TntS0REmUr5koCwbou0Mu1rP1jzad9ba8VN++YloaGhuHv3LgRBQJUqVfDzzz+r1K5jx444evQoKlWqhEGDBqFv374KaeJevXqFUqVKyY3K6ejoQBCEdAeY0s5nVhgjja2tLUaMGIGJEyeq1F9ViRr5k0ql+PLlC/bs2YOXL1/i7t27kEqlqFKlCipVqqRRR0aOHKlReyIiovyKI3/pi46ORs+ePXH69GmYmZlBKpUiNjYWTZs2xY4dO1C8ePFM21tYWCA4OBj169fP8JoSJUoo7HfIqv0PMTEx6NatW5bc61uig7+KFSvi9u3bst07+RF3+xIRkTJ8T+S8P/74A3Fxcbh9+7asju+dO3fQr18/jB49Gtu3b8+0fWBgoNJnCIIAW1tbuXPff1ZXt27dcOzYMaW7ksUSFfzp6OigYsWKePfunVqBX2RkJE6ePAlzc3O0aNFCrlzJ58+fsXjxYrXnr7VJB1LoaLSnnoiIfnRSbb4ntJzqJa84cuQITpw4IQv8AMDOzg4rVqyQqymckdGjR6NChQoKBSyWL1+OR48ewd/fP6u7LKdChQqYPn06Lly4AAcHB9lyu2/7pw7RGz4WLFiACRMmYNWqVXLbtZW5fPkyWrVqBYlEgqSkJJQqVQr79++XJXX+9OkTPD0980TwJ4AbPoiIKHPafE1w2jd9EolEIWACAH19fYWds+nZu3cvDh48qHC+QYMGmDdvXrYHfwEBAShcuDCCg4MRHBws950gCNoL/vr06YMvX76gevXqMDAwUEgy+P79+3TbTZkyBV26dMHatWvx+fNnTJo0CY6Ojjh+/LhCzkAiIiIiTTVr1gxjxozB9u3bYW1tDSA17++4cePQvHlzpe3fvXsHU1NThfMmJiYq79jVRHblThYd/Kkb5YaGhmLFihXQ0dGBsbExVqxYAVtbWzRv3hxHjx5F6dKl1bpvThBY25eIiJSQ/MAVPvKK5cuXo1OnTihTpgxsbGwgCAKeP38OBwcHbNmyRWn7ChUq4MiRIxg1apTc+cOHD8sSNudFooO/fv36qf2wr1+/yn328PCAjo4OWrVqhfXr16t9X23jhg8iIlLmRy7vllfY2Njg6tWrOH78OO7duwepVAo7OzuV8xKPHz8eo0aNwps3b9CsWTMAwMmTJ7F48eJsn/JNe356BEGAkZERKlSogE6dOimkn1FGdPAHpFbzOHDggCxnjp2dHZycnDItmWZvb4+QkBBUq1ZN7ry7uzukUil69eqlTleIiIiIFCQnJ8PIyAjXr19Hy5Yt0bJlS9H3GDhwIBISEuDl5YU5c+YAAMqUKYNVq1ahb9++6bapWbOmXDLmzFy9ejXT769du4arV68iJSUFP/30E6RSKR4+fAhdXV1UrlwZK1euhJubG86ePQs7OzuVf5fo4O/Ro0do164dXr58KevIgwcPYGNjg7///hvly5dPt13fvn0RHByc7nblCRMmQCqVYtWqVWK7kyN0OO1LRERKaPM9wQ0fivT09GBra6tx/dzhw4dj+PDhePPmDQoUKIDChQtnen3nzp1lf/769StWrlwJOzs7Wa7ACxcu4Pbt2xgxYoTSZ6eN6m3YsEGWfDsuLg6urq5o1KgRBg8eDGdnZ4wbNw5Hjx5V+TeJrvDRrl07SKVSbN26VTbM+O7dO/Tp0wc6Ojr4+++/xdwuT0nLpF73wGjoFWKFDyIiyljy5wRc7LxUKxU+qvfVvMLHjU0/XoWPDRs2YPfu3diyZYvoqdGsMGjQIJQoUUI2aphm5syZiIiIULrkrWTJkjh+/LjCqN7t27fRqlUrvHz5ElevXkWrVq1EbUARPfIXHByMCxcuyP1DLFq0KObNm4eGDRuKvR0RERFRtli6dCkePXoEa2tr2NraolChQnLfK5t21dTu3btx5coVhfN9+vRB7dq1lQZ/sbGxiI6OVgj+3rx5g7i4OACAmZkZEhMTRfVLdPBnaGiIjx8/Kpz/9OmTXNLmHxmnfYmISBntTvtKIYibyFNo/yP6dgo2JxQoUABnz55VKIxx9uxZGBkpH6nt1KkTBg4ciMWLF+OXX36BIAi4dOkS3N3dZb/t0qVLokvsig7+OnTogCFDhiAwMBB16tQBAFy8eBHDhg2Dk5OT2NvlSazwQUREymj1PcHdvumaOXNmjj5/7NixGD58OEJDQ1GvXj0AqWv+1q9fr1JRizVr1mDcuHHo2bMnkpOTAaSuZezXrx/8/PwAAJUrV8a6detE9Ut08Ld06VL069cP9evXl2XNTk5OhpOTE5YsWSL2dkRERKQhbvjIfl+/flVptO5bkyZNQrly5bBkyRJs27YNAFClShUEBQWhe/fuStsXLlwYa9euhZ+fH548eQKpVIry5cvLbTqpUaOGqD4BagR/ZmZm+PPPP/Hw4UPcvXsXQGqdvAoVKoh+eF7FPH9ERKQM3xN5n0QigZeXF1avXo3Xr1/jwYMHKFeuHKZPn44yZcrA1dVV6T26d++uUqCXmcKFCyukytOEWnn+AKBixYqygE+VfDbt2rXD9u3bZWVSvLy8MHLkSJiZmQFI3THcuHFj3LlzR90uaQ3X/BERkTJafU9w2jdbzJ07Fxs3bsSCBQswePBg2XkHBwf4+fmpFPx9+PABe/bswZMnT+Du7g5zc3NcvXoVlpaWKFmypML1Xbp0QVBQEExMTNClS5dM771v3z7xPwpqBn+bNm3CwoUL8fDhQwBApUqVMGHCBLi4uGTY5ujRo0hISJB9nj9/Pnr16iUL/pKTk3H//n11uqN1DP6IiEgZ5vnL+zZt2oSAgAA0b95cLk9xtWrVcO/ePaXtw8LC0KJFC5iamuLp06cYNGgQzM3NsX//fjx79gybNm1SaGNqaiobVEuvrnBWEB38+fr6Yvr06Rg1ahQaNmwIqVSKc+fOYdiwYXj79i3GjRuXbrvv0wmKTC9IREREpJbExESEh4ejfPny0NNTPfR5+fJlusvaJBIJkpKSlLYfP348+vfvjwULFsDY2Fh2vm3btnB2dk63zYYNG9L9c1YSHfwtW7ZMoaxJp06dULVqVcyaNSvD4O9HwpE/IiJShtO+Oe/Lly/4448/sHHjRgCQrdkbPXo0rK2tMWnSpEzbV61aFf/99x9sbW3lzu/evRs1a9ZU+vzLly9jzZo1CudLliyJqKgope3j4+MhlUpRsGBBAMCzZ8+wf/9+2NnZoVWrVkrbZ0R08BcZGYkGDRoonG/QoAEiIyMzbCcIgsLaQFVr3+U2DP6IiEgZTvvmvMmTJ+PGjRs4ffo02rRpIzvfokULzJw5U2nwN3PmTLi4uODly5eQSCTYt28f7t+/j02bNuGvv/5S+nwjIyNZMuZv3b9/H8WLF1favlOnTujSpQuGDRuGDx8+oE6dOjAwMMDbt2/h6+uL4cOHK71HenTENqhQoQJ27dqlcH7nzp0KSQy/JZVK0b9/f3Tp0gVdunTB169fMWzYMNnngQMHiu0KERERUYYOHDiA5cuXo1GjRnIDTnZ2dnj8+LHS9h07dsTOnTvxzz//QBAEzJgxA3fv3sWhQ4fQsmVLpe07deqE2bNny6aIBUHA8+fPMWnSJHTt2lVp+6tXr6Jx48YAgD179sDKykq2VnDp0qVK22dE9Mifp6cnevTogTNnzqBhw4YQBAFnz57FyZMn0w0K0/Tr10/uc58+fRSu+XYqOTcToOXknURElOdodW6L077pevPmDSwsLBTOf/78WeXZx9atW6N169ZqPX/RokVo164dLCwsEB8fD0dHR0RFRaF+/frw8vJS2v7Lly+ytYLHjh1Dly5doKOjg3r16uHZs2dq9QlQI/jr2rUrLl68CD8/Pxw4cABSqRR2dna4dOlSpvPf2bVoMSdw2peIiJTR9nuCryVFv/zyC/7++2/88ccfAP633Gzt2rWoX7++yvdJTExEdHQ0JBKJ3PnSpUtn2s7ExARnz57FqVOncPXqVUgkEvz8889o0aKFSs+tUKECDhw4gN9++w1Hjx6V7auIjo6GiYmJyv3/nlqpXmrVqoUtW7ao/dBvPXv2DJ8/f0blypWhoyN6FpqIiIgoXT4+PmjTpg3u3LmD5ORkLFmyBLdv38b58+cRHBystP3Dhw8xcOBAhISEyJ2XSqUQBAEpKSmZtr99+zaqVq2KZs2aoVmzZnLfHTlyRG4dYnpmzJgBZ2dnjBs3Ds2bN5cFrMeOHVNpw0lGRAd///zzD3R1dRWGQI8ePQqJRIK2bdum227jxo2IiYnB2LFjZefSagQDwE8//YSjR4/CxsZGbJe0jiN/RESkjHZ3+0pTD03a/4AaNGiAc+fOYdGiRShfvjyOHTuGn3/+GefPn4eDg4PS9v3794eenh7++usvlChRQvRG1dq1a2PBggWykUcASEhIgJubGwIDAxEfH59p+99//x2NGjVCZGQkqlevLjvfvHlz/Pbbb6L68i3Rwd+kSZMwb948hfNSqRSTJk3KMPhbvXo1hgwZIvt85MgRbNiwAZs2bUKVKlUwatQoeHp6ii5OnBMY/BERkTLc7Zs7ODg4yFK9iHX9+nWEhoaicuXKarXfunUrhgwZgn/++QcbNmxAVFSULL/fuXPnVLqHlZUVrKys5M7VqVNHrf6kER38PXz4EHZ2dgrnK1eujEePHmXY7sGDB6hdu7bs859//gknJyf07t0bAODt7Y0BAwaI7U6OYPBHRETKMM9f7iCRSPDo0aN01+z9+uuvmba1s7PD27dv1X52ly5dUK9ePfTr1w/29vb4/PkzBgwYgMWLF6NAgQJK23/+/Bnz5s3DyZMn0+3/kydP1OqX6ODP1NQUT548QZkyZeTOP3r0CIUKFcqwXXx8vNzixJCQELn0LuXKlVMp4SERERGRKi5cuABnZ2c8e/ZMobJYRmv2vs3LN3/+fHh4eMDb2xsODg7Q19eXu1aVTRcpKSlITExESkoKUlJSYGVlBUNDQ5X6P2jQIAQHB8PFxUWtaeeMiA7+nJycMHbsWOzfvx/ly5cHkBr4ubm5wcnJKcN2tra2CA0Nha2tLd6+fYvbt2+jUaNGsu+joqKyrYZdVtOBlKleiIgoU9p8TwiS1EOT9j+iYcOGoXbt2vj7779VDp7MzMzkrpNKpWjevLncNapu+NixYweGDx+Oxo0b48GDB7h+/ToGDBiAo0ePYvPmzShXrlym7Q8fPoy///4bDRs2VNpvMUQHfwsXLkSbNm1QuXJllCpVCgDw4sULNG7cGIsWLcqwXd++fTFy5Ejcvn0bp06dQuXKlVGrVi3Z9yEhIbC3t1fjJ2gfp32JiEgZTvvmvIcPH2LPnj3p1ufNyL///ptlz3d1dcWiRYtklThatmyJmzdvYujQoahRo0a61T++VaRIEZibm2dZf9KoNe0bEhKC48eP48aNGyhQoACqVaumdN584sSJ+PLlC/bt2wcrKyvs3r1b7vtz586hZ8+eYrtDRERElK66devi0aNHooI/R0dH2Z+fP38OGxsbhRFDqVSKiIgIpfe6evUqfvrpJ7lzRYoUwa5du7B582al7efMmYMZM2Zg48aNsvq+WUGQfj8JnoOSk5Ohp6dW6kGtiIuLg6mpKbqe6Af9QgY53R0iIsrFkj4nYm+LjYiNjdUoIW9m0t5LdTrNhZ6+kdr3SU76ikt/TsvWvmpLWFiY7M+PHz/GtGnTMGHChHTX7FWrVi3Te+nq6iIyMlKhSsi7d+9gYWGhdNpXUzVr1sTjx48hlUpRpkwZhf5fvXpVrfvmikjrzp07CAwMxJYtW/D69euc7o5SnPYlIiJl8kuePx8fH0yZMgVjxoyBv7///99OCk9PTwQEBCAmJgZ169bFihUrULVqVVm7hIQEuLu7Y/v27YiPj0fz5s2xcuVK2ZIyddWoUQOCIMht8Ph2g2nad6qs2Uu77nufPn2CkVH6wfb48eMxZ84cFCpUCOPHj8/0/r6+vpl+37lz50y/V1eOBX+fPn3Cjh07EBgYiMuXL6NevXqYNGlSTnWHiIiIRLp8+TICAgIURtAWLFgAX19fBAUFoVKlSpg7dy5atmyJ+/fvy2rVjh07FocOHcKOHTtQtGhRuLm5oUOHDggNDYWurq7afQoPD9foNwGQBW2CIGD69OlyU64pKSm4ePEiatSokW7ba9euISkpCUDqyFxGm0xU2Xwyc+ZMkT1XjcrB34sXLzSOxgHg7NmzWLduHfbu3YuyZcvizp07CA4OzvKdLNlJ4G5fIiJSQtDmbt8cSPL86dMn9O7dG2vXrsXcuXNl56VSKfz9/TF16lR06dIFQGqVL0tLS2zbtg1Dhw5FbGwsAgMDsXnzZlmd2y1btsDGxgYnTpxQqCImhq2tLQYOHIglS5bIAk2xrl27JvstN2/ehIHB/5Z6GRgYoHr16nB3d0+37ZIlS2RT56dPn1br+dlN5eDP3t4ey5Ytg4uLi1oPWrBgAdavX49Pnz6hV69eOHv2LKpXrw59fX0UKVJErXvmFB1w2peIiDKn1UGCLNrt+/3uU0NDwwxz0o0cORLt27dHixYt5IK/8PBwREVFoVWrVnL3cXR0REhICIYOHYrQ0FAkJSXJXWNtbQ17e3uEhIRoFPwBqcHmvHnz1A7+0nb8DhgwQC6YU0XNmjVl6wTLlSuHy5cvo2jRoqKer6Ojk+7IoImJCX766Sd4eHjIAmt1qBz8eXt7Y+TIkThw4AACAgJE/5ApU6Zg4sSJmD17tkbDubmBjiCBzo+aFImIiLJEXnxP2NjYyH2eOXMmZs2apXDdjh07cPXqVVy+fFnhu7SCDZaWlnLnLS0t8ezZM9k1BgYGCoM/lpaWWVLwIav2sm7YsEF0GzMzM4SHh8PCwgJPnz5VqMqhiv3796d7/sOHD7h06RL69OmDjRs3olu3bqLvDYgI/kaMGIG2bdvC1dUVVatWRUBAQKZJnb83e/ZsBAUFYfPmzejVqxdcXFzyTF4/IiKi3Cyrpn0jIiLkRrnSG/WLiIjAmDFjcOzYsQw3PQCKa9oy2jwh9hpVZdV9xOratSscHR1lSaVr166d4aBXRuXZOnXqlOH9+/XrBzs7OyxatCj7gz8AKFu2LE6dOoXly5eja9euqFKlikJqloy2HU+ZMgVTpkxBcHAw1q9fj3r16qF8+fKQSqWIiYlRq/M5RVeQQpfTvkRElAmtvieyaLeviYmJ0inO0NBQREdHyxVqSElJwZkzZ7B8+XLcv38fQOroXokSJWTXREdHy0YDrayskJiYiJiYGLnRv+joaDRo0ED93/GNSpUqKQ0A379/nyXP+lZAQAC6dOmCR48eYfTo0Rg8eLDa088ZadWqFaZNm6Z2e9G7fZ89e4a9e/fC3NwcnTp1Ep2Xz9HREY6Ojli+fDm2bt2KDRs2wNHREXXq1MHvv/+udFt0bsDybkREpIxWy7tpccNH8+bNcfPmTblzAwYMQOXKlTFx4kSUK1cOVlZWOH78OGrWrAkASExMRHBwMObPnw8AqFWrFvT19XH8+HF0794dABAZGYlbt25hwYIF6v+Qb3h6euZY2dg2bdoASA2Ux4wZk+XBX3x8fKajrsqIitzWrl0LNzc3tGjRArdu3ULx4sXVfrCxsTGGDRuGYcOG4ebNmwgMDISPj0+2B38JCQmoW7cubty4gWvXrmW4VZuIiIgUGRsbKyzbKlSoEIoWLSo7P3bsWHh7e6NixYqoWLEivL29UbBgQTg7OwNIrRbm6uoKNzc3FC1aFObm5nB3d4eDg4Ns96+mevbsqZCcWdvUWTOoirVr18oCa3WoHPy1adMGly5dwvLly9G3b1+1H5geBwcH+Pv7Y+HChVl63/R4eHjA2toaN27cUPse3PBBRETKaPU9kctq+3p4eCA+Ph4jRoyQJXk+duyY3AiYn58f9PT00L17d1mS56CgoCzZFJpT6/2ySkYDYbGxsbhy5QoeP36M//77T+37qxz8paSkICwsTO1cf+3atcP27dtlQ7BeXl4YOXIkzMzMAKSWSmncuDHu3Lmj1v1VcfjwYRw7dgx79+7F4cOH1b6PjqDlzO1ERJTn6Ggx/siJPH/f+j6fnSAImDVrVro7hdMYGRlh2bJlWLZsmWYPT0cuqlyrlrQ8g98zMTFBmzZtMGLECNja2qp9f5WDv+PHj6v9EAA4evQoEhISZJ/nz5+PXr16yYK/5ORk2SLR7PD69WsMHjwYBw4cULk4ckJCglyfv89/RERERLmPOulVcpO0PIPZRWvl3b6PwrUZlUulUvTv3x/Dhg1D7dq18fTpU5Xa+fj4wNPTU+G8LqTQ5YYPIiLKhFbfExJp6qFJe8o3cqy2b1aYNWtWusHZty5fvoyQkBDExcVh8uTJou4/efJkuXn3uLg42NjYQOCaPyIiUkLIx2v+KHfTWvAnCILCAkxNF2SOGjUKPXv2zPSaMmXKYO7cubhw4YJCssratWujd+/e2LhxY7ptMytrQ0RERJQXaXXat3///rJg6uvXrxg2bBgKFSoEAHJr61RVrFgxFCtWTOl1S5culas7+OrVK7Ru3Ro7d+5E3bp1RT9XR2BtXyIiypw23xMCNNzwkWU9obxAa8Ffv3795D736dNH4ZqsTiGTpnTp0nKfCxcuDAAoX768WruXWeGDiIiUyYsVPih/0Frwl12JDnOCDiTQAdf8ERFRxvieoNwqT2/4UFeZMmXyfA4gIiKiNDmd54/ylnwZ/GmKa/6IiEgZrb4nuNuXRGDwpwZdSKDL4XwiIsqENt8TglQKQYMZLU3aUt6jk9MdICIiIiLt4cifGjjtS0REymj1PSH5/0OT9pRvMPhTg64ggS4rfBARUSa0+Z7gtC+JwWlfIiIionyEI39qECCFDrdGERFRJgRtvie425dEYPCnBk77EhGRMlp9T7DCB4nAaV8iIiKifIQjf2rQESTQ4cgfERFlQpvvCVb4IDEY/KlBF4AuF0gQEVEmdLX5ME77kggM/tTAkT8iIlKG7wnKrRj8ERER5XGCJPXQpD3lHwz+1KALKad9iYgoU1p9T3Dal0Rg8KcGTvsSEZEyWn1PMM8ficBUL0RERET5CEf+1KADCXRZBZuIiDKho8X3BGv7khgM/tSgI0ihw6RIRESUCa2+J7jmj0TgtC8RERFRPsKRPzXoctqXiIiU0Op7Qgpo9DgO/OUrDP7UoCtItFuwm4iI8hxtvie45o/E4LQvERERUT7CkT816EAKHY6RExFRJrT6npBCww0fWdYTygMY/KmB075ERKSMVt8T3O1LIjD4U4MOJFrN30RERHkP3xOUWzH4IyIiyuskAAQN21O+weBPDToAdJnkmYiIMqHNHZXc7UtiMPhTQ2qeP03+E4uIiH502s3zp901fz4+Pti3bx/u3buHAgUKoEGDBpg/fz5++umnb24phaenJwICAhATE4O6detixYoVqFq1quyahIQEuLu7Y/v27YiPj0fz5s2xcuVKlCpVSv3fQkox1QsRERGJEhwcjJEjR+LChQs4fvw4kpOT0apVK3z+/Fl2zYIFC+Dr64vly5fj8uXLsLKyQsuWLfHx40fZNWPHjsX+/fuxY8cOnD17Fp8+fUKHDh2QkpKSEz8r3+DInxp0BAl0BI78ERFRxnR+4N2+R44ckfu8YcMGWFhYIDQ0FL/++iukUin8/f0xdepUdOnSBQCwceNGWFpaYtu2bRg6dChiY2MRGBiIzZs3o0WLFgCALVu2wMbGBidOnEDr1q3V/z2UKQZ/auC0LxERKZMXp33j4uLkThsaGsLQ0FBp89jYWACAubk5ACA8PBxRUVFo1aqV3L0cHR0REhKCoUOHIjQ0FElJSXLXWFtbw97eHiEhIQz+shGnfYmIiAgAYGNjA1NTU9nh4+OjtI1UKsX48ePRqFEj2NvbAwCioqIAAJaWlnLXWlpayr6LioqCgYEBihQpkuE1lD048qcGXUHK3b5ERJQprb4nsijVS0REBExMTGSnVRn1GzVqFMLCwnD27FmF74TvlkhJpVKFc99T5RrSDIM/NaQmeea/mERElDFtJnnOqlQvJiYmcsGfMn/88QcOHjyIM2fOyO3QtbKyApA6uleiRAnZ+ejoaNlooJWVFRITExETEyM3+hcdHY0GDRqo/VtIOU77EhERkShSqRSjRo3Cvn37cOrUKZQtW1bu+7Jly8LKygrHjx+XnUtMTERwcLAssKtVqxb09fXlromMjMStW7cY/GUzjvypIbW2L0f+iIgoYz9ybd+RI0di27Zt+PPPP2FsbCxbo2dqaooCBQpAEASMHTsW3t7eqFixIipWrAhvb28ULFgQzs7OsmtdXV3h5uaGokWLwtzcHO7u7nBwcJDt/qXsweBPDTrc7UtEREpotbavRApossZQIq7tqlWrAABNmjSRO79hwwb0798fAODh4YH4+HiMGDFCluT52LFjMDY2ll3v5+cHPT09dO/eXZbkOSgoCLq6uur/FlJKkEpZ00VVcXFxMDU1xf4bFVHImP9iEhFRxj5/TMFv1R8iNjZW1Do6MdLeSy3Kj4WervLNGRlJTknAicf+2dpXyj048kdERJTXaXnal/K2fBX8/f3335g9ezbCwsJQqFAh/Prrr9i3b5/o+3DNHxERKaPVNX/QMPgDg7/8JN8Ef3v37sXgwYPh7e2NZs2aQSqV4ubNm2rdSxdS6PJ/KERElAmtvic48kci5IvgLzk5GWPGjMHChQvh6uoqO//TTz/lYK+IiIiItC9fBH9Xr17Fy5cvoaOjg5o1ayIqKgo1atTAokWLULVq1QzbJSQkICEhQfY5reahDqTa3cVFRER5jo42R/4kUmg0dStyty/lbfki+Hvy5AkAYNasWfD19UWZMmWwePFiODo64sGDB7JC1N/z8fGBp6enwvnUNX/Z2mUiIsrjtJvnT5J6aNKe8o08XeFj1qxZEAQh0+PKlSuQSFL/pZ46dSq6du2KWrVqYcOGDRAEAbt3787w/pMnT0ZsbKzsiIiI0NZPIyIiIsoWeXrkb9SoUejZs2em15QpUwYfP34EANjZ2cnOGxoaoly5cnj+/HmGbQ0NDdMtas0NH0REpAw3fFBulaeDv2LFiqFYsWJKr6tVqxYMDQ1x//59NGrUCACQlJSEp0+fwtbWVvRzBUEKHU0yqRMR0Q9P0OZ7gmv+SIQ8HfypysTEBMOGDcPMmTNhY2MDW1tbLFy4EADQrVu3HO4dERERkfbki+APABYuXAg9PT24uLggPj4edevWxalTp1CkSBHR99KFBCzuRkREmdHVZlYITvuSCPkm+NPX18eiRYuwaNEije/FNX9ERKSMdtf8QcPgL8t6QnlAvgn+spIO1/wREZESfE9QbsXgj4iIKK/jtC+JwOBPDZz2JSIiZbT6npBIAE3WGEqY5Dk/YfCnBgZ/RESkDPP8UW6Vpyt8EBEREZE4HPlTg46QehAREWVEq+8JjvyRCAz+1KDDaV8iIlJCR6tr/ljhg1THaV8iIiKifIQjf2rQAaNmIiLKnDbfE1KpBFKp+jt2NWlLeQ+DPzXoCqkHERFRRrT6npBKNZu65Zq/fIUDWERERET5CEf+1KALAbrg0B8REWVMq+8JqYYbPjjyl68w+FMD1/wREZEyWn1PSCSAoMG6Pa75y1cY/KlBVxCgK3Dkj4iIMsb3BOVWDP6IiIjyOk77kggM/tSgAwE6XPNHRESZ0OZ7QiqRQKrBtC9TveQvDP7UoMMNH0REpIRWBwk48kcicN8CERERUT7CkT81cNqXiIiU0ep7QiIFBI78kWoY/KmBu32JiEgZrb4npFIAmqR6YfCXn3Dal4iIiCgf4cifGnT+//8RERFlRJtvCalECqkG075SjvzlKwz+1MA1f0REpIx2d/tKoNm0r3ptV65ciYULFyIyMhJVq1aFv78/GjdurH4/SCs4fEVERESi7dy5E2PHjsXUqVNx7do1NG7cGG3btsXz589zumukBEf+1KAr6EBXYNxMREQZ09XqwJ/2p319fX3h6uqKQYMGAQD8/f1x9OhRrFq1Cj4+Pmr3hbIfgz81pE77MvgjIqKM6WiSdFksLU/7JiYmIjQ0FJMmTZI736pVK4SEhKjfD9IKBn8ipP2XUdwnlsEhIqLMpb0rtLGZIhlJGhX4SEYSACAuLk7uvKGhIQwNDRWuf/v2LVJSUmBpaSl33tLSElFRUep3hLSCwZ8IHz9+BADY/vw0ZztCRER5xsePH2Fqapot9zYwMICVlRXORv2j8b0KFy4MGxsbuXMzZ87ErFmzMmwjfJfLUCqVKpyj3IfBnwjW1taIiIiAsbFxtv/LHRcXBxsbG0RERMDExCRbn5VT+Bt/DPyNP4788Du1+RulUik+fvwIa2vrbHuGkZERwsPDkZiYqPG90gvc0hv1A4BixYpBV1dXYZQvOjpaYTSQch8GfyLo6OigVKlSWn2miYnJD/v/Cafhb/wx8Df+OPLD79TWb8yuEb9vGRkZwcjIKNuf8y0DAwPUqlULx48fx2+//SY7f/z4cXTq1EmrfSHxGPwRERGRaOPHj4eLiwtq166N+vXrIyAgAM+fP8ewYcNyumukBIM/IiIiEq1Hjx549+4dZs+ejcjISNjb2+Off/6Bra1tTneNlGDwl0sZGhpi5syZGa63+BHwN/4Y+Bt/HPnhd+aH36hNI0aMwIgRI3K6GySSIGVBPyIiIqJ8g5mKiYiIiPIRBn9ERERE+QiDPyIiIqJ8hMFfLuLl5YUGDRqgYMGCMDMzU6lN//79IQiC3FGvXr3s7agG1PmNUqkUs2bNgrW1NQoUKIAmTZrg9u3b2dtRDcTExMDFxQWmpqYwNTWFi4sLPnz4kGmb3P73uHLlSpQtWxZGRkaoVasW/vvvv0yvDw4ORq1atWBkZIRy5cph9erVWuqp+sT8xtOnTyv8fQmCgHv37mmxx+KcOXMGHTt2hLW1NQRBwIEDB5S2yWt/j2J/Y178eyTKCgz+cpHExER069YNw4cPF9WuTZs2iIyMlB3//KN5mZ/sos5vXLBgAXx9fbF8+XJcvnwZVlZWaNmypazcXm7j7OyM69ev48iRIzhy5AiuX78OFxcXpe1y69/jzp07MXbsWEydOhXXrl1D48aN0bZtWzx//jzd68PDw9GuXTs0btwY165dw5QpUzB69Gjs3btXyz1XndjfmOb+/ftyf2cVK1bUUo/F+/z5M6pXr47ly5erdH1e/HsU+xvT5KW/R6IsIaVcZ8OGDVJTU1OVru3Xr5+0U6dO2dqf7KDqb5RIJFIrKyvpvHnzZOe+/l97dx4Vdbn/Afw9IgwwILKIMyqLhEAkKEoooJGZoh3NliuF3oTkaEo/90CsVNCiwFC76bFUNktTr6jdsnBlUUEFwossgiKYJoa4ICiyzef3h7/5/hgYhkUQic/rnDln5tmXUZ7z/X6feR49IgMDA/r22287sYXtk5ubSwDozJkzQlhqaioBoIsXLzab71meRxcXF5o3b55SmJ2dHQUFBalMHxgYSHZ2dkphH3zwAY0ePbrT2vik2trHhIQEAkB37959Cq3reADowIEDatN0x3lsqDV97O7zyFh78ZW/v4HExESYmprCxsYGc+bMQWlpaVc3qcMUFRXh5s2bmDhxohAmFovh4eGBlJSULmyZaqmpqTAwMMCoUaOEsNGjR8PAwKDF9j6L81hTU4OMjAyl8QeAiRMnNtuf1NTUJuk9PT2Rnp6O2traTmtre7WnjwpOTk6QyWQYP348EhISOrOZT113m8cn8XeeR8ZU4cVfNzd58mTs3LkTJ06cQEREBNLS0vDKK6+gurq6q5vWIRSHhjc+KLx///5NDhR/Fty8eROmpqZNwk1NTdW291mdx7KyMtTX17dp/G/evKkyfV1dHcrKyjqtre3Vnj7KZDJs3boVcXFx2L9/P2xtbTF+/HgkJyc/jSY/Fd1tHtujJ8wjY6rwCR+dLDg4GCEhIWrTpKWlwdnZuV3lv/POO8L7oUOHwtnZGRYWFjh06BDeeuutdpXZVp3dRwAQiURKn4moSVhnam0fgaZtBVpu77Mwj+q0dfxVpVcV/ixpSx9tbW1ha2srfHZ1dcW1a9fw1Vdf4aWXXurUdj5N3XEe26KnzCNjjfHir5P9z//8D9599121aSwtLTusPplMBgsLC1y6dKnDymxJZ/ZRKpUCeHwVQiaTCeGlpaVNrkp0ptb2MSsrC3/99VeTuFu3brWpvV0xj6qYmJhAQ0OjyRUwdeMvlUpVpu/duzeMjY07ra3t1Z4+qjJ69Gj88MMPHd28LtPd5rGj/N3mkTFVePHXyUxMTGBiYvLU6rt9+zauXbumtFDqbJ3Zx8GDB0MqleLo0aNwcnIC8PgZraSkJISFhXVKnaq0to+urq4oLy/HuXPn4OLiAgA4e/YsysvL4ebm1ur6umIeVdHS0sLIkSNx9OhRvPnmm0L40aNHMW3aNJV5XF1d8fPPPyuFHTlyBM7OztDU1OzU9rZHe/qoSmZmZpfPV0fqbvPYUf5u88iYSl2524Qpu3r1KmVmZlJISAjp6elRZmYmZWZmUkVFhZDG1taW9u/fT0REFRUVtGzZMkpJSaGioiJKSEggV1dXGjhwIN2/f7+ruqFWW/tIRPTll1+SgYEB7d+/ny5cuEDe3t4kk8me2T5OmjSJHB0dKTU1lVJTU8nBwYGmTJmilKY7zePu3btJU1OTIiMjKTc3lxYvXkwSiYSKi4uJiCgoKIjee+89If2VK1dIV1eXlixZQrm5uRQZGUmampq0b9++rupCi9raxw0bNtCBAweooKCAsrOzKSgoiABQXFxcV3WhRRUVFcK/NwC0fv16yszMpKtXrxLR32Me29rH7jiPjHUEXvw9Q3x8fAhAk1dCQoKQBgBFR0cTEdHDhw9p4sSJ1K9fP9LU1CRzc3Py8fGhP/74o2s60Apt7SPR4597Wb16NUmlUhKLxfTSSy/RhQsXnn7jW+n27ds0c+ZM0tfXJ319fZo5c2aTn5LobvO4efNmsrCwIC0tLRoxYgQlJSUJcT4+PuTh4aGUPjExkZycnEhLS4ssLS1py5YtT7nFbdeWPoaFhdFzzz1H2traZGhoSGPGjKFDhw51QatbT/GzJo1fPj4+RPT3mMe29rE7ziNjHUFE9H9P8DLGGGOMsb89/qkXxhhjjLEehBd/jDHGGGM9CC/+GGOMMcZ6EF78McYYY4z1ILz4Y4wxxhjrQXjxxxhjjDHWg/DijzHGGGOsB+HFH2OMMcZYD8KLP8a60Msvv4zFixcLny0tLbFx48Yua8+TIiLMnTsXRkZGEIlEOH/+fIfXkZiYCJFIhHv37gEAYmJi0Ldv3w6v51lSXFzcaePZkyUnJ2Pq1KkYMGAARCIRDh482Kb8wcHBEIlETV4SiaRzGsxYB+HFH+uW6uvr4ebmhrffflspvLy8HGZmZvj000+7qGVPJi0tDXPnzu3QMn19ffHGG290aJnNiY+PR0xMDH755ReUlJRg6NChT6XertZ4QdrRzMzMetR4Pi0PHjzAsGHDsGnTpnbl/+ijj1BSUqL0sre3x/Tp0zu4pYx1LF78sW5JQ0MDsbGxiI+Px86dO4XwBQsWwMjICKtWrerC1ikjItTV1bUqbb9+/aCrq9vJLeo8hYWFkMlkcHNzg1QqRe/evbu6Sd1Kc98VDQ0NHs9OMHnyZHz22Wd46623VMbX1NQgMDAQAwcOhEQiwahRo5CYmCjE6+npQSqVCq+//voLubm58PPze0o9YKx9ePHHuq0hQ4bgiy++wIIFC3Djxg389NNP2L17N2JjY6GlpdVsvurqagQGBsLMzAxisRhDhgxBZGSkEJ+UlAQXFxeIxWLIZDIEBQUp/UGurq7GwoULYWpqCm1tbYwZMwZpaWlCvOIq0OHDh+Hs7AyxWIyTJ0/iwYMHmDVrFvT09CCTyRAREdGkbY1v+4pEImzfvh1vvvkmdHV1MWTIEPznP/8R4uvr6+Hn54fBgwdDR0cHtra2+Prrr4X44OBgxMbG4qeffhJuSSn+eP3555945513YGhoCGNjY0ybNg3FxcVqx1zd2Pj6+mLBggX4448/IBKJYGlp2Ww5p0+fhoeHB3R1dWFoaAhPT0/cvXsXwOMFUHh4OKysrKCjo4Nhw4Zh3759atvVkuvXr+Pdd9+FkZERJBIJnJ2dcfbsWSH+559/xsiRI6GtrQ0rKyuEhIQozbm6eSguLsa4ceMAAIaGhhCJRPD19W1VX5r7rjTW+LavIt/x48fh7OwMXV1duLm5IT8//4nGiSl7//33cfr0aezevRtZWVmYPn06Jk2ahEuXLqlMv337dtjY2GDs2LFPuaWMtREx1o3J5XJ6+eWXafz48WRqakpr165tMY+XlxeZmZnR/v37qbCwkI4dO0a7d+8mIqLr16+Trq4u+fv7U15eHh04cIBMTExo9erVQv6FCxfSgAED6Ndff6WcnBzy8fEhQ0NDun37NhERJSQkEABydHSkI0eO0OXLl6msrIzmz59PgwYNoiNHjlBWVhZNmTKF9PT0aNGiRULZFhYWtGHDBuEzABo0aBDt2rWLLl26RAsXLiQ9PT2hrpqaGlq1ahWdO3eOrly5Qj/88APp6urSnj17iIiooqKCvLy8aNKkSVRSUkIlJSVUXV1NDx48oCFDhtDs2bMpKyuLcnNzacaMGWRra0vV1dUqx62lsbl37x6tWbOGBg0aRCUlJVRaWqqynMzMTBKLxTR//nw6f/48ZWdn0zfffEO3bt0iIqKPP/6Y7OzsKD4+ngoLCyk6OprEYjElJiYqje/du3eJiCg6OpoMDAyane+KigqysrKisWPH0smTJ+nSpUu0Z88eSklJISKi+Ph46tOnD8XExFBhYSEdOXKELC0tKTg4uFXzUFdXR3FxcQSA8vPzqaSkhO7du9emvjT+rjRWVFREACgzM1Mp36hRoygxMZFycnJo7Nix5Obm1uw4MPUA0IEDB4TPly9fJpFIRH/++adSuvHjx9OKFSua5H/06BEZGhpSWFhYZzeVsSfGiz/W7eXl5REAcnBwoNraWrVp8/PzCQAdPXpUZfzHH39Mtra2JJfLhbDNmzeTnp4e1dfXU2VlJWlqatLOnTuF+JqaGhowYACFh4cT0f//YT548KCQpqKigrS0tIRFJhHR7du3SUdHp8XF36effip8rqysJJFIRL/99luzffT396e3335b+Ozj40PTpk1TShMZGdmkn9XV1aSjo0OHDx9u19gQEW3YsIEsLCyabRsRkbe3N7m7u6uMq6ysJG1tbWFhpuDn50fe3t5E1PbF33fffUf6+vrCgrmxsWPHUmhoqFLY999/TzKZTPjc0jw0blNb+9Lwu6JKc4u/Y8eOCWkOHTpEAKiqqkptWUy1xou/vXv3EgCSSCRKr969e5OXl1eT/Lt27aLevXtTSUnJU2w1Y+3DD5Cwbi8qKgq6urooKirC9evX1d5uPH/+PDQ0NODh4aEyPi8vD66urhCJREKYu7s7Kisrcf36ddy7dw+1tbVwd3cX4jU1NeHi4oK8vDylspydnYX3hYWFqKmpgaurqxBmZGQEW1vbFvvn6OgovJdIJNDX10dpaakQ9u2332L79u24evUqqqqqUFNTg+HDh6stMyMjA5cvX4a+vr5S+KNHj1BYWKgyT0tjY25u3mJfgMdz0NwD8bm5uXj06BEmTJigFF5TUwMnJ6dWla+qPicnJxgZGamMz8jIQFpaGj7//HMhrL6+Ho8ePcLDhw+FZzBbmocn6UvD70pbNGyTTCYDAJSWlrZ6Lljz5HI5NDQ0kJGRAQ0NDaU4PT29Jum3b9+OKVOmQCqVPq0mMtZuvPhj3Vpqaio2bNiA3377DeHh4fDz88OxY8eUFigN6ejoqC2PiJrkJSIAj5/7avi+pXwNf+5Bka89NDU1lT6LRCLI5XIAwN69e7FkyRJERETA1dUV+vr6WLdundLzbKrI5XKMHDlSabOMQr9+/VTmaWlsWkvdHCj6dejQIQwcOFApTiwWt7qO1tanqDMkJETlQ//a2trCe3Xz0Fy5QOv60t6fBmnYJsUcqGsTaz0nJyfU19ejtLS0xWf4ioqKkJCQoPQ8LmPPMl78sW6rqqoKPj4++OCDD/Dqq6/CxsYGQ4cOxXfffYd58+apzOPg4AC5XI6kpCS8+uqrTeLt7e0RFxentNBJSUmBvr4+Bg4cCCMjI2hpaeHUqVOYMWMGAKC2thbp6elKv9fXmLW1NTQ1NXHmzBnhqszdu3dRUFDQ7FXI1jh58iTc3Nzg7+8vhDW+cqelpYX6+nqlsBEjRmDPnj0wNTVFnz59WlVXS2PTWo6Ojjh+/DhCQkJU1iEWi/HHH3880bg0rm/79u24c+eOyqt/I0aMQH5+Pqytrdtdh2KDUcNx7oy+sI5VWVmJy5cvC5+Liopw/vx5GBkZwcbGBjNnzsSsWbMQEREBJycnlJWV4cSJE3BwcMBrr70m5IuKioJMJsPkyZO7ohuMtRnv9mXdVlBQEORyOcLCwgAA5ubmiIiIQEBAQLO7Vi0tLeHj44PZs2fj4MGDKCoqQmJiIvbu3QsA8Pf3x7Vr17BgwQJcvHgRP/30E1avXo2lS5eiV69ekEgkmD9/PgICAhAfH4/c3FzMmTMHDx8+VPvzDnp6evDz80NAQACOHz+O7Oxs+Pr6olevJ/snaG1tjfT0dBw+fBgFBQVYuXKl0s5jRZ+zsrKQn5+PsrIy1NbWYubMmTAxMcG0adNw8uRJFBUVISkpCYsWLcL169dV1tXS2LTWihUrkJaWBn9/f2RlZeHixYvYsmULysrKoK+vj48++ghLlixBbGwsCgsLkZmZic2bNyM2NrZdY+Tt7Q2pVIo33ngDp0+fxpUrVxAXF4fU1FQAwKpVq7Bjxw4EBwcjJycHeXl52LNnT5t+K9LCwgIikQi//PILbt26hcrKyk7pC+tY6enpcHJyEm7DL126FE5OTsJPRUVHR2PWrFlYtmwZbG1t8frrr+Ps2bMwMzMTypDL5YiJiYGvr2+T28OMPbO67GlDxp5AYmIiaWho0MmTJ5vETZw4kV555RWljQkNVVVV0ZIlS0gmk5GWlhZZW1tTVFSUUtkvvvgiaWlpkVQqpeXLlyttJKmqqqIFCxaQiYkJicVicnd3p3Pnzgnxqh7+J3q86eOf//wn6erqUv/+/Sk8PJw8PDxa3PDR8CF0IiIDAwOKjo4mosc7DH19fcnAwID69u1L8+fPp6CgIBo2bJiQvrS0lCZMmEB6enoEgBISEoiIqKSkhGbNmiX0w8rKiubMmUPl5eUqx601Y9OaDR+Kctzc3EgsFlPfvn3J09NTGC+5XE5ff/012drakqamJvXr1488PT0pKSlJ5fi2tOGDiKi4uJjefvtt6tOnD+nq6pKzszOdPXtWiI+Pjyc3NzfS0dGhPn36kIuLC23dulWIb2keiIjWrFlDUqmURCIR+fj4tKsvzWluw0fDfJmZmQSAioqK1JbFGGMioid4GIkxxhhjjHUrfNuXMcYYY6wH4cUfY4wxxlgPwos/xhhjjLEehBd/jDHGGGM9CC/+GPsbSUxMhEgkwr1791qdx9LSEhs3bnyiemNiYtC3b98nKqO9iouLIRKJcP78+U6tx9fXF2+88Uan1qHoi0gkavGUltZQlNVVc8MYezbx4o8983x9fYU/Yg1fkyZNapI2NDQUGhoa+PLLL5vE1dfX44svvoCdnR10dHRgZGSE0aNHIzo6ul11KWzbtg1jx46FoaEhDA0N8eqrr+LcuXMt9uvChQvw8PCAjo4OBg4ciDVr1jzRSSA9lZmZGUpKSjB06NAOKa+5xeTXX3+NmJiYDqmjJceOHcPx48efuJySkpInXtgzxv5++IQP1i1MmjRJaZEGqD7uKzo6GoGBgYiKikJQUJBSXHBwMLZu3YpNmzbB2dkZ9+/fR3p6Ou7evduuuhQSExPh7e0NNzc3aGtrIzw8HBMnTkROTk6zJ1/cv38fEyZMwLhx45CWloaCggL4+vpCIpFg2bJlaseipyAi1NfXo3dv9f9NaWhoPJXzVA0MDDq9DgVjY2MYGxs/cTlSqfSptpsx1j3wlT/WLYjFYkilUqWXoaGhUpqkpCRUVVVhzZo1ePDgAZKTk5Xif/75Z/j7+2P69OkYPHgwhg0bBj8/PyxdurTNdTW0c+dO+Pv7Y/jw4bCzs8O2bdsgl8vVXrnZuXMnHj16hJiYGAwdOhRvvfUWPv74Y6xfv17t1b+UlBQMHz4c2tracHZ2xsGDB1u85RkXF4cXXngBYrEYlpaWiIiIaJKmoqICM2bMgJ6eHgYMGIBvvvlGKX79+vVwcHCARCKBmZkZ/P39UVlZ2WydjSmupu3evVtYJL/wwgtITEwU0ihuWR8+fBjOzs4Qi8U4efIkqqursXDhQpiamkJbWxtjxoxROsVE1ZW63NxcvPbaa9DT00P//v3x3nvvoaysTIhXnAxjbW0NsVgMc3NzfP755wCAwYMHA3h8tqtIJMLLL78MoOlt35bapejP8ePH4ezsDF1dXbi5uSE/P7/V46agqDs0NBT9+/dH3759ERISgrq6OgQEBMDIyAiDBg1CVFRUm8tmjPU8vPhjfxuRkZHw9vaGpqYmvL29ERkZqRQvlUpx4sQJ3Lp1q1Pb8fDhQ9TW1qo8R1YhNTUVHh4eSlcUPT09cePGjWaPpquoqMDUqVPh4OCA33//HWvXrsXy5cvVtiUjIwNeXl549913ceHCBQQHB2PlypVNbl+uW7cOjo6O+P3337FixQosWbIER48eFeJ79eqFf/3rX8jOzkZsbCxOnDiBwMDAlgejkYCAACxbtgyZmZlwc3PD66+/jtu3byulCQwMxBdffIG8vDw4OjoiMDAQcXFxiI2Nxe+//w5ra2t4enrizp07KusoKSmBh4cHhg8fjvT0dMTHx+Ovv/6Cl5eXkGbFihUICwvDypUrkZubi127dqF///4AINyyP3bsGEpKSrB//36V9bS2XZ988gkiIiKQnp6O3r17Y/bs2W0eNwA4ceIEbty4geTkZKxfvx7BwcGYMmUKDA0NcfbsWcybNw/z5s3DtWvX2lU+Y6wH6dLzRRhrBR8fH9LQ0CCJRKL0WrNmjZCmvLycdHV16fz580T0+KgrXV1dpaPKcnJy6Pnnn6devXqRg4MDffDBB/Trr7+2ua6W+Pv703PPPUdVVVXNppkwYQLNmTNHKezPP/8kAJSSkqIyz5YtW8jY2Fip3G3btqk99mvGjBk0YcIEpXICAgLI3t5e+GxhYUGTJk1SSvPOO+/Q5MmTm23/3r17ydjYWPjc0hFriuPJvvzySyGstraWBg0aRGFhYUptP3jwoJCmsrKSNDU1aefOnUJYTU0NDRgwgMLDw5XKVozBypUraeLEiUr1X7t2jQBQfn4+3b9/n8RiMW3btk1tWxXlKfj4+NC0adNa3S5Ff44dOyakOXToEAFo9ruhrm4LCwuqr68XwmxtbWns2LHC57q6OpJIJPTjjz8q5W3N8XeMsZ6Fn/lj3cK4ceOwZcsWpbCGV9Z27doFKysrDBs2DAAwfPhwWFlZYffu3Zg7dy4AwN7eHtnZ2cjIyMCpU6eQnJyMqVOnwtfXF9u3b291XeqEh4fjxx9/RGJiIrS1tdWmFYlESp/p/273Ng5XyM/Ph6Ojo1K5Li4uauvIy8vDtGnTlMLc3d2xceNG1NfXCwfRu7q6KqVxdXVV2iiQkJCA0NBQ5Obm4v79+6irq8OjR4/w4MEDSCQStW1oXK5C79694ezsjLy8PKU0zs7OwvvCwkLU1tbC3d1dCNPU1ISLi0uTfAoZGRlISEiAnp5ek7jCwkLcu3cP1dXVGD9+fKvbraqc1rbL0dFReC+TyQAApaWlMDc3b1OdL7zwAnr1+v+bNf3791fa5KKhoQFjY2OUlpa2qVzGWM/Diz/WLUgkElhbWzcbHxUVhZycHKXNAXK5HJGRkcLiD3h8+/LFF1/Eiy++iCVLluCHH37Ae++9h08++UR41quluprz1VdfITQ0FMeOHVP6g6+KVCrFzZs3lcIUf7QVtx8bI6JmF4zNaU8eBUW+q1ev4rXXXsO8efOwdu1aGBkZ4dSpU/Dz80NtbW2rympNPQoNF5PNLYhV9UtBLpdj6tSpCAsLaxInk8lw5cqVJ21ym9qlqakpvFfEyeXyNtfZsBxFWarC2lM2Y6xn4Wf+WLd34cIFpKenIzExEefPnxdeycnJSEtLQ3Z2drN57e3tAQAPHjx4ojasW7cOa9euRXx8vNKVq+a4uroiOTkZNTU1QtiRI0cwYMAAWFpaqsxjZ2eHrKwsVFdXC2Hp6elq67G3t8epU6eUwlJSUmBjYyNc9QOAM2fOKKU5c+YM7OzshDrq6uoQERGB0aNHw8bGBjdu3Gixj6o0rKeurg4ZGRlCPapYW1tDS0tLqQ+1tbVIT0/H888/rzLPiBEjkJOTA0tLS1hbWyu9JBIJhgwZAh0dnWY35GhpaQF4/NNAHdkuxhh7VvDij3UL1dXVuHnzptJLsXszMjISLi4ueOmllzB06FDhNWbMGLi6ugobP/7xj39gw4YNOHv2LK5evYrExER8+OGHsLGxUVqAqKtLlfDwcHz66aeIioqCpaWlkKfhbthNmzYp3WacMWMGxGIxfH19kZ2djQMHDiA0NBRLly5t9orWjBkzIJfLMXfuXOTl5eHw4cP46quvADR/q3jZsmU4fvw41q5di4KCAsTGxmLTpk346KOPlNKdPn0a4eHhKCgowObNm/Hvf/8bixYtAgA899xzqKurwzfffIMrV67g+++/x7ffftvseKizefNmHDhwABcvXsSHH36Iu3fvqt0AIZFIMH/+fAQEBCA+Ph65ubmYM2cOHj58CD8/P5V5PvzwQ9y5cwfe3t44d+4crly5giNHjmD27Nmor6+HtrY2li9fjsDAQOzYsQOFhYU4c+aM8D0xNTWFjo6OsFGkvLy8Q9rFGGPPjC572pCxVvLx8SEATV62trZUXV1NxsbGwkP2jUVERJCJiQlVV1fT1q1bady4cdSvXz/S0tIic3Nz8vX1peLi4lbV1RwLCwuVeVavXi2kWb16NVlYWCjly8rKorFjx5JYLCapVErBwcEkl8vVjsXp06fJ0dGRtLS0aOTIkbRr1y4CQBcvXiSiphs+iIj27dtH9vb2pKmpSebm5rRu3bom7Q8JCSEvLy/S1dWl/v3708aNG5XSrF+/nmQyGeno6JCnpyft2LFDqZ7WbvjYtWsXjRo1irS0tOj555+n48ePC2lUtZ2IqKqqihYsWEAmJiYkFovJ3d2dzp0716TshpskCgoK6M0336S+ffuSjo4O2dnZ0eLFi4Xxra+vp88++4wsLCyEcQkNDRXyb9u2jczMzKhXr17k4eFBRMobPlrTLlX9yczMJABUVFSkdpzUbTZR8PDwoEWLFimFWVhY0IYNG5TCeMMHY6wxEREfKcBYd7Vz5068//77KC8vh46OTlc3p1nFxcUYPHgwMjMzO+TYsoby8/NhZ2eHS5cutetZzWdJZ4xTTEwMFi9e3KYj/xhjf2+84YOxbmTHjh2wsrLCwIED8d///hfLly+Hl5fXM73w60x37tzBvn370KdPH5iZmXV1czqMm5sbhg8fjpSUlCcqR09PD3V1dS3uPGeM9Sy8+GOsG7l58yZWrVqFmzdvQiaTYfr06cLJFD2Rn58fMjIysGXLFrVH8HUXgwYNwqVLlwCoP1KwtRSnnjTc3MMYY3zblzHGGGOsB+HdvowxxhhjPQgv/hhjjDHGehBe/DHGGGOM9SC8+GOMMcYY60F48ccYY4wx1oPw4o8xxhhjrAfhxR9jjDHGWA/Ciz/GGGOMsR6EF3+MMcYYYz3I/wJIEixuO0RcWAAAAABJRU5ErkJggg==", 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", 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              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ds.precipitation_total_surface_flux.plot.imshow()" ] @@ -2331,7 +258,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.10.14" } }, "nbformat": 4, From 1ceeb9b24a96541572d1f732beacb01106278fd2 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 26 Feb 2025 15:05:57 -0700 Subject: [PATCH 20/31] add notebooks/SMAP/data --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 9ed8e86..2ad9ccc 100644 --- a/.gitignore +++ b/.gitignore @@ -20,6 +20,7 @@ notebook/static/lab/*bundle.js notebooks/itslive/data/*.nc notebooks/iceflow/data notebooks/*/Outputs +notebooks/SMAP/data .python-version node_modules *.py[co] From e409976605b6202e0ff1124665dab855630b9342 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Tue, 23 Sep 2025 15:01:38 -0600 Subject: [PATCH 21/31] refactor and add content --- .../SMAP/working_with_smap_in_xarray.ipynb | 295 +++++++++++------- 1 file changed, 182 insertions(+), 113 deletions(-) diff --git a/notebooks/SMAP/working_with_smap_in_xarray.ipynb b/notebooks/SMAP/working_with_smap_in_xarray.ipynb index 669860d..12ddf47 100644 --- a/notebooks/SMAP/working_with_smap_in_xarray.ipynb +++ b/notebooks/SMAP/working_with_smap_in_xarray.ipynb @@ -26,11 +26,12 @@ "### Learning Goals\n", "\n", "By the end of this tutorial you will know how to:\n", - "1. open the SMAP data with `xarray`;\n", - "2. add CRS and coordinate system information;\n", - "3. add dataset metadata;\n", - "4. plot the data on a map;\n", - "5. transform and resample the data to a new CRS.\n", + "1. search for and access SMAP data using `earthaccess`;\n", + "2. open the SMAP data with `xarray`;\n", + "3. add CRS and coordinate system information;\n", + "4. add dataset metadata;\n", + "5. plot the data on a map;\n", + "6. transform and resample the data to a new CRS.\n", "\n", "\n", "### Prerequisites\n", @@ -64,7 +65,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/apbarret/mambaforge/envs/smap-tutorial/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + "/home/apbarret/mambaforge/envs/nsidc-tutorials-dev/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] } @@ -79,6 +80,7 @@ "# For reading and working with the data\n", "# import rioxarray\n", "import xarray as xr\n", + "import rioxarray\n", "import numpy as np\n", "\n", "# For defining CRS and image coordinate system\n", @@ -113,14 +115,14 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "id": "1b04c8b8-fe00-4452-9989-8a32012ed338", "metadata": {}, "outputs": [], "source": [ "results = earthaccess.search_data(\n", " short_name = 'SPL3SMP',\n", - " version = '008',\n", + " version = '009',\n", " cloud_hosted = True,\n", " temporal = ('2017-03-01','2017-03-31')\n", ")" @@ -133,22 +135,14 @@ "source": [ "## Download files\n", "\n", - "If you haven't already, we'll download the files to a local directory. This is defined in the `DOWNLOAD_PATH` constant. In this example, we'll use the `Path` object from the [`pathlib`](https://docs.python.org/3/library/pathlib.html) package to build a path to a directory `smap_data` under the current working directory. `Path` objects have methods to return the current working directory `.cwd()`, make directories `.mkdir()`, and search using [glob patterns](https://en.wikipedia.org/wiki/Glob_(programming)) `.glob()`.\n", - "\n", - "
              \n", - "Tip: If you want to download files to a different directory change the cell below to \n", - "\n", - "```\n", - "DOWNLOAD_PATH = Path(\"path-to-download-directory\")\n", - "```\n", - "
              \n", + "If you haven't already, we'll download the files to a local directory called `smap_data`. We do this by setting `local_path=\"smap_data\"`. You can chhose a different local path if you want. If the directory passed to `local_path` does not exist, `earthaccess` will create it for you.\n", "\n", "`earthaccess.download` checks if the files already exist in the local download directory. If they do, they will not be downloaded." ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 4, "id": "4d7cb4e8-0854-4dfa-b2a0-28fffca94305", "metadata": {}, "outputs": [ @@ -156,17 +150,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "QUEUEING TASKS | : 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 7531.04it/s]\n", - "PROCESSING TASKS | : 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 161519.78it/s]\n", - "COLLECTING RESULTS | : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 370437.11it/s]\n" + "QUEUEING TASKS | : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 6017.10it/s]\n", + "PROCESSING TASKS | : 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 92543.36it/s]\n", + "COLLECTING RESULTS | : 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 107368.64it/s]\n" ] } ], "source": [ - "DOWNLOAD_PATH = Path.cwd() / \"smap_data\"\n", - "DOWNLOAD_PATH.mkdir(parents=True, exist_ok=True) # creates parents if they don't exist and fails silently if path exists\n", - "\n", - "smap_files = earthaccess.download(results, str(DOWNLOAD_PATH))" + "smap_files = earthaccess.download(results, local_path=\"smap_data\")" ] }, { @@ -179,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 5, "id": "a474c513-0473-43eb-b2d1-f386c52272b5", "metadata": { "scrolled": true @@ -188,40 +179,40 @@ { "data": { "text/plain": [ - "['/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170301_R18290_001.h5',\n", - " '/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170302_R18290_001.h5',\n", - " '/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170303_R18290_001.h5',\n", - " '/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170304_R18290_001.h5',\n", - 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"execution_count": 9, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -232,27 +223,7 @@ }, { "cell_type": "markdown", - "id": "1304aa23-5196-4c6b-b92d-d2ed050f3fe0", - "metadata": {}, - "source": [ - "## Create a georeferenced `xarray.Dataset` for a subset of variables from an HDF5 SMAP file\n", - "\n", - "Georeferenced data sets are required for Earth science analysis workflows. This may be as simple as plotting a map. You may want to transform the data so it can be used with another data set, or you may want to perform some spatial subsetting. Each of these tasks requires that the coordinate system of the dataset is known and that there is sufficient information to relate the coordinate system to an actual location on the Earth. The coordinate system may be spherical (_latitude_ and _longitude_) or cartesian (_x_ and _y_), and it may include a _height_ component (sometimes _z_ or atmospheric _level_). _latitude_, _longitude_ and _height_, and _x_, _y_, and _z_ represent the dimensions of the dataset. Other non-geospatial dimensions may also be included. \n", - "\n", - "The relationship between the coordinate system and a location on the Earth is defined by the coordinate reference system (CRS), sometimes called a spatial reference system (SRS). This includes a reference ellipsoid and datum, and, if the data are in a projected coordinate system, information about the projection method and projection parameters. Ideally, this information is included in the data file so that software tools can use this information directly to plot and manipulate the data. Including this information in files also makes it very easy for users to undertsand the data.\n", - "\n", - "The SMAP HDF5 data files do not contain sufficient information to geolocate data on the Earth surface. We need to add this information so that we can work with the data in `xarray` or other geospatial-aware tools. We will also make some changes to how missing data is represented, as well as change some of the attribute values to make the data CF-Compliant. In the following sections we will:\n", - "\n", - "1. read a subset of `Datasets` (variables) from the HDF5 file;\n", - "2. add meaningful dimension names;\n", - "3. mask missing data;\n", - "4. add coordinate information to the dataset;\n", - "5. add a coordinate reference system information the dataset." - ] - }, - { - "cell_type": "markdown", - "id": "aa714ea3-2dd2-4831-b482-a0421e0979f9", + "id": "f6478963-a79b-4739-9e8a-08f0523587a9", "metadata": {}, "source": [ "#### Read the data\n", @@ -270,14 +241,18 @@ "Note: You can find out how an HDF5 file is structured, what groups exist, and what variables the file contains using tools like `h5dump`, online HDF5 viewers like [MyHDF5](https://myhdf5.hdfgroup.org/help), or lower level python tools like h5py.\n", "\n", "\n", - "`xarray` can only read one group at a time from an HDF5 file. Multiple groups can be read with multiple reads and then concatenate the `xarray.Datasets`. See xarray tricks for HDF5 data [To be added]. Or you can use the [`xarray-datatree`](https://xarray-datatree.readthedocs.io/en/stable/) package.\n", + "`xarray.open_dataset` can only read one HDF Group at a time from an HDF5 file. If you want to read the entire HDF file you can use `xarray.open_datatree`. See [work_with_smap_data_using_datatree]().\n", + "\n", + "In the following example, we read the `Soil_Moisture_Retrieval_Data_AM` group. This is done by passing the group name using the `group` keyword. If you wanted data for a subgroup or a dataset one or more levels down, the argument passed to `group` would look like a filepath; for example `\"group/subgroup/dataset\"`.\n", "\n", - "In the following example, we read the `Soil_Moisture_Retrieval_Data_AM` group. This is done by passing the group name using the `group` keyword. If you wanted data for a subgroup or a dataset one or more levels down, the argument passed to `group` would look like a filepath; for example `\"group/subgroup/dataset\"`." + "We add the `phoney_dims='sort'` keyword argument to allow `xarray` to assign dimensions.\n", + "\n", + "The `decode_timedelta=True` is also set to supress a warning from `xarray`." ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 6, "id": "759e1df8-eb4f-472d-8175-69e634c30503", "metadata": {}, "outputs": [ @@ -304,28 +279,76 @@ " */\n", "\n", ":root {\n", - " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", - " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", - " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", - " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n", - " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n", - " --xr-background-color: var(--jp-layout-color0, white);\n", - " --xr-background-color-row-even: var(--jp-layout-color1, white);\n", - " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", + " --xr-font-color0: var(\n", + " --jp-content-font-color0,\n", + " var(--pst-color-text-base rgba(0, 0, 0, 1))\n", + " );\n", + " --xr-font-color2: var(\n", + " --jp-content-font-color2,\n", + " var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n", + " );\n", + " --xr-font-color3: var(\n", + " --jp-content-font-color3,\n", + " var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n", + " );\n", + " --xr-border-color: var(\n", + " --jp-border-color2,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n", + " );\n", + " --xr-disabled-color: var(\n", + " --jp-layout-color3,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n", + " );\n", + " --xr-background-color: var(\n", + " --jp-layout-color0,\n", + " var(--pst-color-on-background, white)\n", + " );\n", + " --xr-background-color-row-even: var(\n", + " --jp-layout-color1,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n", + " );\n", + " --xr-background-color-row-odd: var(\n", + " --jp-layout-color2,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n", + " );\n", "}\n", "\n", "html[theme=\"dark\"],\n", "html[data-theme=\"dark\"],\n", "body[data-theme=\"dark\"],\n", "body.vscode-dark {\n", - " --xr-font-color0: rgba(255, 255, 255, 1);\n", - " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", - " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", - " --xr-border-color: #1f1f1f;\n", - " --xr-disabled-color: #515151;\n", - " --xr-background-color: #111111;\n", - " --xr-background-color-row-even: #111111;\n", - " --xr-background-color-row-odd: #313131;\n", + " --xr-font-color0: var(\n", + " --jp-content-font-color0,\n", + " var(--pst-color-text-base, rgba(255, 255, 255, 1))\n", + " );\n", + " --xr-font-color2: var(\n", + " --jp-content-font-color2,\n", + " var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n", + " );\n", + " --xr-font-color3: var(\n", + " --jp-content-font-color3,\n", + " var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n", + " );\n", + " --xr-border-color: var(\n", + " --jp-border-color2,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n", + " );\n", + " --xr-disabled-color: var(\n", + " --jp-layout-color3,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n", + " );\n", + " --xr-background-color: var(\n", + " --jp-layout-color0,\n", + " var(--pst-color-on-background, #111111)\n", + " );\n", + " --xr-background-color-row-even: var(\n", + " --jp-layout-color1,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n", + " );\n", + " --xr-background-color-row-odd: var(\n", + " --jp-layout-color2,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n", + " );\n", "}\n", "\n", ".xr-wrap {\n", @@ -381,6 +404,7 @@ "\n", ".xr-section-item input + label {\n", " color: var(--xr-disabled-color);\n", + " border: 2px solid transparent !important;\n", "}\n", "\n", ".xr-section-item input:enabled + label {\n", @@ -389,7 +413,7 @@ "}\n", "\n", ".xr-section-item input:focus + label {\n", - " border: 2px solid var(--xr-font-color0);\n", + " border: 2px solid var(--xr-font-color0) !important;\n", "}\n", "\n", ".xr-section-item input:enabled + label:hover {\n", @@ -521,7 +545,9 @@ ".xr-var-item label,\n", ".xr-var-item > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-even);\n", + " border-color: var(--xr-background-color-row-odd);\n", " margin-bottom: 0;\n", + " padding-top: 2px;\n", "}\n", "\n", ".xr-var-item > .xr-var-name:hover span {\n", @@ -532,6 +558,7 @@ ".xr-var-list > li:nth-child(odd) > label,\n", ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-odd);\n", + " border-color: var(--xr-background-color-row-even);\n", "}\n", "\n", ".xr-var-name {\n", @@ -581,8 +608,15 @@ ".xr-var-data,\n", ".xr-index-data {\n", " display: none;\n", - " background-color: var(--xr-background-color) !important;\n", - " padding-bottom: 5px !important;\n", + " border-top: 2px dotted var(--xr-background-color);\n", + " padding-bottom: 20px !important;\n", + " padding-top: 10px !important;\n", + "}\n", + "\n", + ".xr-var-attrs-in + label,\n", + ".xr-var-data-in + label,\n", + ".xr-index-data-in + label {\n", + " padding: 0 1px;\n", "}\n", "\n", ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", @@ -595,6 +629,12 @@ " float: right;\n", "}\n", "\n", + ".xr-var-data > pre,\n", + ".xr-index-data > pre,\n", + ".xr-var-data > table > tbody > tr {\n", + " background-color: transparent !important;\n", + "}\n", + "\n", ".xr-var-name span,\n", ".xr-var-data,\n", ".xr-index-name div,\n", @@ -654,6 +694,14 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", + "\n", + ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n", + ".xr-var-data-in:checked + label > .xr-icon-database,\n", + ".xr-index-data-in:checked + label > .xr-icon-database {\n", + " color: var(--xr-font-color0);\n", + " filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n", + " stroke-width: 0.8px;\n", + "}\n", "
              <xarray.Dataset> Size: 99MB\n",
        "Dimensions:                      (phony_dim_0: 406, phony_dim_1: 964,\n",
        "                                  phony_dim_2: 3)\n",
@@ -671,7 +719,7 @@
        "    vegetation_opacity_dca       (phony_dim_0, phony_dim_1) float32 2MB ...\n",
        "    vegetation_opacity_scah      (phony_dim_0, phony_dim_1) float32 2MB ...\n",
        "    vegetation_opacity_scav      (phony_dim_0, phony_dim_1) float32 2MB ...\n",
-       "    vegetation_water_content     (phony_dim_0, phony_dim_1) float32 2MB ...
              " + " vegetation_water_content (phony_dim_0, phony_dim_1) float32 2MB ..." ], "text/plain": [ " Size: 99MB\n", @@ -694,33 +742,53 @@ " vegetation_water_content (phony_dim_0, phony_dim_1) float32 2MB ..." ] }, - "execution_count": 10, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gds = xr.open_dataset(smap_files[0], group='Soil_Moisture_Retrieval_Data_AM', \n", - " phony_dims='sort', engine=\"h5netcdf\", decode_coords=\"all\")\n", + " phony_dims='sort', engine=\"h5netcdf\", decode_coords=\"all\",\n", + " decode_timedelta=True)\n", "gds" ] }, { "cell_type": "markdown", - "id": "50443520-2522-40b5-853a-2e238969161a", + "id": "b2959e58-eee0-43e4-abda-427f88f31663", "metadata": {}, "source": [ - "We can already see some issues with the dataset that need to be addressed to allow you to take full advantage of `xarray` and other tools.\n", + "The `Soil_Moisture_Retrieval_Data_AM` group contains 53 data variables. Click on the arrow beside **Data variables** to see them. However, we can already see some issues with the dataset that need to be addressed to allow you to take full advantage of `xarray` and other tools. There are no _coordinate variables_ or _indexes_, so `xarray` we cannot do any geospatial analysis with the data, such as plotting the data on a map, subsetting the data to a geographic region, or transforming the data to another coordinate system. \n", "\n", - "First, the dimension names `phony_dim_0`, `phony_dim_1`, and `phony_dim_2` are not meaningful. A user and a software tool needs to figure out which dimensions are spatial dimensions, as well as what the third dimension is. This is because no dimensions were assigned to datasets when the dataset was created. `xarray` generate some \"phony\" variables.\n", + "Another issue is that the _dimensions_, `phony_dim_0`, `phony_dim_1`, and `phony_dim_2`, are not meaningful. A user and a software tool needs to figure out which dimensions are spatial dimensions, as well as what the third dimension is. This happens because no dimensions were assigned to datasets when the dataset was created. `xarray` has to generate some \"phony\" variables.\n", "\n", - "_look at what `xarray` is doing when it assigns `phony_dim`_\n", + "```{note}\n", + "Actually the file does contain `latitude` and `longitude` arrays but `xarray` does not recognize these as coordinate variables.\n", + "```\n", "\n", - "A second issue is that there are no coordinate variables. Coordinate variables are necessary for tools like `xarray` to subset and transform data.\n", + "In the following section, we fix these issues so that we can take full advantage of `xarray` to analyze the data. " + ] + }, + { + "cell_type": "markdown", + "id": "1304aa23-5196-4c6b-b92d-d2ed050f3fe0", + "metadata": {}, + "source": [ + "## Create a georeferenced `xarray.Dataset`\n", "\n", - "```{note}\n", - "Actually the file does contain some coordinate variables `latitude` and `longitude` but `xarray` does not recognize these as coordinate variables because the dimensions are not defined _I think but check_.\n", - "```" + "In the previous section, we identified several issues with the dataset that prevent us from using `xarray` (or other tools) to work with the data efficiently. What follows is a short version of how to fix these issues. See [create_georeferenced_xarray_dataset]() for a more detailed explanation of what we are doing.\n", + "\n", + "Georeferenced data sets are a keystone for Earth science analysis workflows. They allow data to be tied to a location on Earth. Analysis may be as simple as plotting a map. You may want to transform the data so it can be used with another data set, or you may want to perform some spatial subsetting. Each of these tasks requires that the coordinate system of the dataset is known and that there is sufficient information to relate the coordinate system to an actual location on the Earth. The coordinate system may be a Geodetic coordinate system (e.g. _latitude_ and _longitude_) or a projected coordinated system with cartesian coordinates (e.g. _x_ and _y_). The coordinate system may also include a _height_ component (sometimes _z_ or atmospheric _level_). _latitude_, _longitude_ and _height_, and _x_, _y_, and _z_ represent the dimensions of the dataset. Other non-geospatial dimensions, such as _time_ may also be included. \n", + "\n", + "The relationship between the coordinate system and a location on the Earth is defined by a coordinate reference system (CRS), sometimes called a spatial reference system (SRS). This includes a reference ellipsoid and datum, and, if the data are in a projected coordinate system, information about the projection method and projection parameters. Ideally, this information is included in the data file so that software tools can use this information directly to plot and manipulate the data. Including this information in files also makes it very easy for users to undertsand the data.\n", + "\n", + "The SMAP HDF5 data files do not contain sufficient information to geolocate data on the Earth surface. We need to add this information so that we can work with the data in `xarray` or other geospatial-aware tools. We will also make some changes to how missing data is represented, as well as change some of the attribute values to make the data CF-Compliant and improve usability. In the following sections we will:\n", + "\n", + "1. add meaningful dimension names;\n", + "2. mask missing data;\n", + "3. add coordinate information to the dataset;\n", + "4. add a coordinate reference system information the dataset." ] }, { @@ -1278,6 +1346,7 @@ "\n", "[Coordinate variables](https://cfconventions.org/Data/cf-conventions/cf-conventions-1.11/cf-conventions.html#coordinate-types) locate the data in space and time. Each coordinate variable is a 1-dimensional array associated with a single dimension, usually with the same name as that dimension, and has the same size as that dimensions. Values for coordinate variables give the position of each grid cell within the dataset's coordinate system. Two-dimensional _auxillary coordinates_ are also allowed. These _auxillary coordinates_ need to be related to data variables by including a `coordinates` attribute that lists the _auxillary coordinates_. Coordinate variables are not allowed to have missing values. However, _auxillary coordinates_ can have missing values.\n", "\n", + "\n", "The SMAP data contain 2-dimensional `latitude` and `longitude` grids but data variables do not have a `coordinates` attribute. The data do not contain coordinate variables. Coordinate variables allow efficient subsetting, as well as plotting and transformation. So we need to add `x` and `y` as coordinates. \n", "\n", "Because `latitude` and `longitude` are likely coordinate variables, we'll plot them. " @@ -2373,7 +2442,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.12.11" } }, "nbformat": 4, From a09f72ced1e4ee85026386d0757f81d302d0f9cf Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 24 Sep 2025 16:31:46 -0600 Subject: [PATCH 22/31] refactor and update --- .../SMAP/working_with_smap_in_xarray.ipynb | 1558 ++++++++++------- 1 file changed, 885 insertions(+), 673 deletions(-) diff --git a/notebooks/SMAP/working_with_smap_in_xarray.ipynb b/notebooks/SMAP/working_with_smap_in_xarray.ipynb index 12ddf47..8d551d6 100644 --- a/notebooks/SMAP/working_with_smap_in_xarray.ipynb +++ b/notebooks/SMAP/working_with_smap_in_xarray.ipynb @@ -150,9 +150,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "QUEUEING TASKS | : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 6017.10it/s]\n", - "PROCESSING TASKS | : 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 92543.36it/s]\n", - 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" vegetation_water_content (phony_dim_0, phony_dim_1) float32 2MB ..." + " vegetation_water_content (phony_dim_0, phony_dim_1) float32 2MB ..." ], "text/plain": [ " Size: 99MB\n", @@ -759,7 +759,7 @@ "id": "b2959e58-eee0-43e4-abda-427f88f31663", "metadata": {}, "source": [ - "The `Soil_Moisture_Retrieval_Data_AM` group contains 53 data variables. Click on the arrow beside **Data variables** to see them. However, we can already see some issues with the dataset that need to be addressed to allow you to take full advantage of `xarray` and other tools. There are no _coordinate variables_ or _indexes_, so `xarray` we cannot do any geospatial analysis with the data, such as plotting the data on a map, subsetting the data to a geographic region, or transforming the data to another coordinate system. \n", + "The `Soil_Moisture_Retrieval_Data_AM` group contains 53 data variables. Click on the arrow beside **Data variables** to see them. However, we can already see some issues with the dataset that need to be addressed to allow you to take full advantage of `xarray` and other tools. There are no _coordinate variables_ or _indexes_, so we cannot use `xarray` to do any geopatial analysis with the data, such as plotting the data on a map, subsetting the data to a geographic region, or transforming the data to another coordinate system. \n", "\n", "Another issue is that the _dimensions_, `phony_dim_0`, `phony_dim_1`, and `phony_dim_2`, are not meaningful. A user and a software tool needs to figure out which dimensions are spatial dimensions, as well as what the third dimension is. This happens because no dimensions were assigned to datasets when the dataset was created. `xarray` has to generate some \"phony\" variables.\n", "\n", @@ -767,7 +767,7 @@ "Actually the file does contain `latitude` and `longitude` arrays but `xarray` does not recognize these as coordinate variables.\n", "```\n", "\n", - "In the following section, we fix these issues so that we can take full advantage of `xarray` to analyze the data. " + "In the following section, we fix these issues so that we can take full advantage of `xarray` to analyze the data." ] }, { @@ -779,129 +779,28 @@ "\n", "In the previous section, we identified several issues with the dataset that prevent us from using `xarray` (or other tools) to work with the data efficiently. What follows is a short version of how to fix these issues. See [create_georeferenced_xarray_dataset]() for a more detailed explanation of what we are doing.\n", "\n", - "Georeferenced data sets are a keystone for Earth science analysis workflows. They allow data to be tied to a location on Earth. Analysis may be as simple as plotting a map. You may want to transform the data so it can be used with another data set, or you may want to perform some spatial subsetting. Each of these tasks requires that the coordinate system of the dataset is known and that there is sufficient information to relate the coordinate system to an actual location on the Earth. The coordinate system may be a Geodetic coordinate system (e.g. _latitude_ and _longitude_) or a projected coordinated system with cartesian coordinates (e.g. _x_ and _y_). The coordinate system may also include a _height_ component (sometimes _z_ or atmospheric _level_). _latitude_, _longitude_ and _height_, and _x_, _y_, and _z_ represent the dimensions of the dataset. Other non-geospatial dimensions, such as _time_ may also be included. \n", - "\n", - "The relationship between the coordinate system and a location on the Earth is defined by a coordinate reference system (CRS), sometimes called a spatial reference system (SRS). This includes a reference ellipsoid and datum, and, if the data are in a projected coordinate system, information about the projection method and projection parameters. Ideally, this information is included in the data file so that software tools can use this information directly to plot and manipulate the data. Including this information in files also makes it very easy for users to undertsand the data.\n", - "\n", - "The SMAP HDF5 data files do not contain sufficient information to geolocate data on the Earth surface. We need to add this information so that we can work with the data in `xarray` or other geospatial-aware tools. We will also make some changes to how missing data is represented, as well as change some of the attribute values to make the data CF-Compliant and improve usability. In the following sections we will:\n", + "In the following sections we will:\n", "\n", "1. add meaningful dimension names;\n", - "2. mask missing data;\n", - "3. add coordinate information to the dataset;\n", - "4. add a coordinate reference system information the dataset." + "2. add coordinate information to the dataset;\n", + "3. add a coordinate reference system information the dataset." ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "05d558e4-448d-4c7a-a188-ea5cf27dc124", + "id": "2c234eb6-c52f-47bc-8442-ad2cf8ebe599", "metadata": {}, "source": [ "#### Add meaningful dimension names\n", "\n", - "53 variables are loaded from `Soil_Moisture_Retrieval_Data_AM`. However, we can immediately see some issues. The dimensions are named `phony_dim_0`, `phony_dim_1`, and `phony_dim_2`, which is not much help. This is because no dimensions are assigned to Datasets, so `xarray` has to generate some dummy variables.\n", - " \n", - "We'll change the names of the dimensions to something meaningful. First, we need figure out what the dimensions are. This is more diffcult than is should be and requires some data sleuthing and assumptions. The description of the `landcover_class` offers some information, albeit misleading, but it is a clue.\n", + "We want to change the dimensions from `phony_dim_0`, `phony_dim_1`, and `phony_dim_2` to something meaningful. First, we need figure out what the dimensions are.\n", + "\n", + "From the [User Guide](https://nsidc.org/sites/default/files/documents/user-guide/spl3smp-v009-userguide.pdf), we can see that the EASE-Grid 2.0 Global 36 km grid is 964 columns by 406 rows. `phony_dim_0` matches the number of rows in the grid, so we'll assume that `phony_dim_0` is the y-axis. Similarly, `phony_dim_1` matches the number of columns, so we'll assume `phony_dim_1` is the x-axis. The `land_cover_class` and `land_cover_class_fraction` data variables are the only variables with a third dimension. The `long_name` attribute for these variables indicates that the third dimension is and index for IGBP land cover type:\n", "\n", "> An enumerated type that specifies the most common landcover class in the grid cell based on the IGBP landcover map. The array order is longitude (ascending), followed by latitude (descending), and followed by IGBP land cover type descending dominance (only the first three types are listed)\n", "\n", - "This description states that the dimensions of the landcover_class array are longitude, latitude and IGBP land cover class. The data are in projected coordinates (the EASE Grid 2.0 Global) **so longitude and latitude cannot be dimensions**. Longitude and latitude in projected coordinate systems must be 2D arrays. For projected coordinate systems, coordnates are usually x and y, or easting and northing. From the user guide, we also know that the data are on a grid with 964 columns and 406 rows, and cells that have a nominal cell-size of 36 km by 36 km. Based on this information we can assume that `phony_dim_0` is the y-dimension and `phony_dim_1` is the x-dimension in cartesian coordinates. The 3rd dimension (`phoney_dim_2`) appears to be land cover class. We can lot the data to confirm that this at least looks correct. 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", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "gds.albedo.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "ffe65d22-0357-455b-8896-4870cf676583", - "metadata": {}, - "source": [ - "Apart from looking like the data is upside down, our assumptions about `x` and `y` look to be correct. So we'll rename the coordinates:\n", + "So we'll rename the coordinates:\n", "\n", " - `phony_dim_0 --> y`\n", " - `phony_dim_1 --> x`\n", @@ -912,7 +811,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 7, "id": "a445433e-d160-4ca2-9a58-a0b74ccf348b", "metadata": {}, "outputs": [ @@ -939,28 +838,76 @@ " */\n", "\n", ":root {\n", - " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", - " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", - " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", - " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n", - " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n", - " --xr-background-color: var(--jp-layout-color0, white);\n", - " --xr-background-color-row-even: var(--jp-layout-color1, white);\n", - " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", + " --xr-font-color0: var(\n", + " --jp-content-font-color0,\n", + " var(--pst-color-text-base rgba(0, 0, 0, 1))\n", + " );\n", + " --xr-font-color2: var(\n", + " --jp-content-font-color2,\n", + " var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n", + " );\n", + " --xr-font-color3: var(\n", + " --jp-content-font-color3,\n", + " var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n", + " );\n", + " --xr-border-color: var(\n", + " --jp-border-color2,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n", + " );\n", + " --xr-disabled-color: var(\n", + " --jp-layout-color3,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n", + " );\n", + " --xr-background-color: var(\n", + " --jp-layout-color0,\n", + " var(--pst-color-on-background, white)\n", + " );\n", + " --xr-background-color-row-even: var(\n", + " --jp-layout-color1,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n", + " );\n", + " --xr-background-color-row-odd: var(\n", + " --jp-layout-color2,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n", + " );\n", "}\n", "\n", "html[theme=\"dark\"],\n", "html[data-theme=\"dark\"],\n", "body[data-theme=\"dark\"],\n", "body.vscode-dark {\n", - " --xr-font-color0: rgba(255, 255, 255, 1);\n", - " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", - " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", - " --xr-border-color: #1f1f1f;\n", - " --xr-disabled-color: #515151;\n", - " --xr-background-color: #111111;\n", - " --xr-background-color-row-even: #111111;\n", - " --xr-background-color-row-odd: #313131;\n", + " --xr-font-color0: var(\n", + " --jp-content-font-color0,\n", + " var(--pst-color-text-base, rgba(255, 255, 255, 1))\n", + " );\n", + " --xr-font-color2: var(\n", + " --jp-content-font-color2,\n", + " var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n", + " );\n", + " --xr-font-color3: var(\n", + " --jp-content-font-color3,\n", + " var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n", + " );\n", + " --xr-border-color: var(\n", + " --jp-border-color2,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n", + " );\n", + " --xr-disabled-color: var(\n", + " --jp-layout-color3,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n", + " );\n", + " --xr-background-color: var(\n", + " --jp-layout-color0,\n", + " var(--pst-color-on-background, #111111)\n", + " );\n", + " --xr-background-color-row-even: var(\n", + " --jp-layout-color1,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n", + " );\n", + " --xr-background-color-row-odd: var(\n", + " --jp-layout-color2,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n", + " );\n", "}\n", "\n", ".xr-wrap {\n", @@ -1016,6 +963,7 @@ "\n", ".xr-section-item input + label {\n", " color: var(--xr-disabled-color);\n", + " border: 2px solid transparent !important;\n", "}\n", "\n", ".xr-section-item input:enabled + label {\n", @@ -1024,7 +972,7 @@ "}\n", "\n", ".xr-section-item input:focus + label {\n", - " border: 2px solid var(--xr-font-color0);\n", + " border: 2px solid var(--xr-font-color0) !important;\n", "}\n", "\n", ".xr-section-item input:enabled + label:hover {\n", @@ -1156,7 +1104,9 @@ ".xr-var-item label,\n", ".xr-var-item > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-even);\n", + " border-color: var(--xr-background-color-row-odd);\n", " margin-bottom: 0;\n", + " padding-top: 2px;\n", "}\n", "\n", ".xr-var-item > .xr-var-name:hover span {\n", @@ -1167,6 +1117,7 @@ ".xr-var-list > li:nth-child(odd) > label,\n", ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-odd);\n", + " border-color: var(--xr-background-color-row-even);\n", "}\n", "\n", ".xr-var-name {\n", @@ -1216,8 +1167,15 @@ ".xr-var-data,\n", ".xr-index-data {\n", " display: none;\n", - " background-color: var(--xr-background-color) !important;\n", - " padding-bottom: 5px !important;\n", + " border-top: 2px dotted var(--xr-background-color);\n", + " padding-bottom: 20px !important;\n", + " padding-top: 10px !important;\n", + "}\n", + "\n", + ".xr-var-attrs-in + label,\n", + ".xr-var-data-in + label,\n", + ".xr-index-data-in + label {\n", + " padding: 0 1px;\n", "}\n", "\n", ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", @@ -1230,6 +1188,12 @@ " float: right;\n", "}\n", "\n", + ".xr-var-data > pre,\n", + ".xr-index-data > pre,\n", + ".xr-var-data > table > tbody > tr {\n", + " background-color: transparent !important;\n", + "}\n", + "\n", ".xr-var-name span,\n", ".xr-var-data,\n", ".xr-index-name div,\n", @@ -1289,6 +1253,14 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", + "\n", + ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n", + ".xr-var-data-in:checked + label > .xr-icon-database,\n", + ".xr-index-data-in:checked + label > .xr-icon-database {\n", + " color: var(--xr-font-color0);\n", + " filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n", + " stroke-width: 0.8px;\n", + "}\n", "
              <xarray.Dataset> Size: 99MB\n",
        "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
        "Dimensions without coordinates: y, x, igbp_class\n",
@@ -1305,7 +1277,7 @@
        "    vegetation_opacity_dca       (y, x) float32 2MB ...\n",
        "    vegetation_opacity_scah      (y, x) float32 2MB ...\n",
        "    vegetation_opacity_scav      (y, x) float32 2MB ...\n",
-       "    vegetation_water_content     (y, x) float32 2MB ...
              " + " vegetation_water_content (y, x) float32 2MB ..." ], "text/plain": [ " Size: 99MB\n", @@ -1327,7 +1299,7 @@ " vegetation_water_content (y, x) float32 2MB ..." ] }, - "execution_count": 13, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -1339,410 +1311,717 @@ }, { "cell_type": "markdown", - "id": "de673df1-483f-47b0-9e9a-c1aadd711629", - "metadata": {}, - "source": [ - "#### Add coordinate variables\n", - "\n", - "[Coordinate variables](https://cfconventions.org/Data/cf-conventions/cf-conventions-1.11/cf-conventions.html#coordinate-types) locate the data in space and time. Each coordinate variable is a 1-dimensional array associated with a single dimension, usually with the same name as that dimension, and has the same size as that dimensions. Values for coordinate variables give the position of each grid cell within the dataset's coordinate system. Two-dimensional _auxillary coordinates_ are also allowed. These _auxillary coordinates_ need to be related to data variables by including a `coordinates` attribute that lists the _auxillary coordinates_. Coordinate variables are not allowed to have missing values. However, _auxillary coordinates_ can have missing values.\n", - "\n", - "\n", - "The SMAP data contain 2-dimensional `latitude` and `longitude` grids but data variables do not have a `coordinates` attribute. The data do not contain coordinate variables. Coordinate variables allow efficient subsetting, as well as plotting and transformation. So we need to add `x` and `y` as coordinates. \n", - "\n", - "Because `latitude` and `longitude` are likely coordinate variables, we'll plot them. " - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "96f26e1e-2c6d-4f57-bf51-72653e2c76d9", + "id": "ed3f4640-1bb0-4cc6-afbf-7af752f54fe4", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ - "fig, ax = plt.subplots(2, 1)\n", - "gds.latitude.plot(ax=ax[0])\n", - "gds.longitude.plot(ax=ax[1])" + "We can see that the dimension names are now `y`, `x` and `igbp_class`. When we look at the data variables, we can see that the dimensions for these variables have also been renamed. " ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "a45a18fd-dc03-42a2-a221-2e77d405ebfb", + "id": "765c0185-fcbc-46d8-93f9-6d26c980ae6f", "metadata": {}, "source": [ - "This looks a little strange. Printing minima and maxima for `latitude` and `longitude`, shows that both values are outside of the expected ranges: -90 to 90 for `latitude`, and -180 to 180 or 0 to 360 for `longitude`." + "#### Adding coordinates\n", + "\n", + "Now that we have renamed the dimensions, the next step is to assign coordinates. Even though the SMAP data contain `latitude` and `longitude` variables, `xarray` does not recognize these variables as _coordinate variables_. In addition to this, the `latitude` and `longitude` variables are 2-dimensional grids and have missing values. Both of these characteristics make selecting and subsetting data difficult. Especially because the SMAP data are on a projected grid. Using 1-dimensional coordinates for the `x` and `y` dimensions makes these kinds of searches more efficient.\n", + "\n", + "The SMAP data is in the EASE-Grid 2.0 Global 36 km grid. This is a projected coordinate system. Below we calculate these `x` and `y` coordinates and assign them.\n", + "\n", + "We need two bits of information; the grid parameters so we can calculate the `x` and `y` coordinates of grid cell centers; and the Coordinate Reference System (CRS), which relates these coordinates to points on Earth. This information is not available in the files so we need to do some data sleuthing. \n", + "\n", + "The CRS is defined in Table 4 of the [User Guide](https://nsidc.org/sites/default/files/spl3smp-v008-userguide.pdf). Fortunately, we can use the EPSG code, which is 6933, as _shorthand_ for the CRS.\n", + "\n", + "To define the grid, we need to know the width and height of the grid cells in meters, and the `x` and `y` coordinates of the upper-left-corner of the upper-left grid cell. We already know that the grid is 964 columns by 406 rows. Table 5 of the [User Guide](https://nsidc.org/sites/default/files/spl3smp-v008-userguide.pdf) contains part of the grid definition but it is not complete. Although, all the information we need to define the grid is in [NSIDC's Guide to EASE Grids](https://nsidc.org/data/user-resources/help-center/guide-ease-grids#anchor-36-km-resolution-ease-grids), the values given in the tables are not precise enough.\n", + "\n", + "Exact definitions of CRS, projection and grid parameters can be found in the Grid Parameter Definition (gpd) files in the [`mapxmaps` GitHub repository](https://github.com/nsidc/mapxmaps). These gpd files have a somewhat esoteric format, so might take a little bit to understand. It is important that the grid definition is exact because we cannot merge datasets if the coordinates do not match, even to the 9th decimal place. We have calculated the exact values required here. See [create_geospatial_xarray_datasets]() for how to calculate these parameters." ] }, { "cell_type": "code", - "execution_count": 15, - "id": "fe9bc187-b64d-414d-9074-5bc5e33c3774", + "execution_count": 8, + "id": "78dc5886-d10a-4ca7-b2df-e10ac1de0c8d", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Latitude: Min = -9999.0, Max = 83.63197326660156\n", - "Longitude: Min = -9999.0, Max = 179.8132781982422\n" - ] - } - ], + "outputs": [], "source": [ - "print(f\"Latitude: Min = {gds.latitude.min().values}, Max = {gds.latitude.max().values}\")\n", - "print(f\"Longitude: Min = {gds.longitude.min().values}, Max = {gds.longitude.max().values}\")" + "grid_cell_width = 36032.220840584\n", + "grid_cell_height = -36032.220840584\n", + "x_upper_left_corner = -17367530.4451615\n", + "y_upper_left_corner = 7314540.8306386" ] }, { "cell_type": "markdown", - "id": "ba404a65-2dd2-4f1b-a538-40861dfcd199", + "id": "14a5c2ba-22ad-4299-9ead-892a3e481e5f", "metadata": {}, "source": [ - "If we plot both latitude and soil_moisture, we can see that latitude values have been masked with -9999. where there are no valid data values. **This is not a good or sensible approach because latitude and longitude are coordinates. As long as latitude and longitude values are between -90 and 90, and -180 and 180 (or 0 and 360), they are valid coordinates. While missing values are allowed for _auxillary coordinates_, coordinate values should not have missing values. We also need coordinates for all grid cells for plotting and other operations.** " + "We can use an [_affine transformation_](https://affine.readthedocs.io/en/latest/index.html) to calculate the `x` and `y` coordinates for the dataset. The _affine transformation_ maps the row and column indices (i.e. the image coordinates) to projected coordinates. See [create_geospatial_xarray_datasets]() for more details on Affine transformations.\n", + "\n", + "We use the [`affine`](https://affine.readthedocs.io/en/latest/index.html) Python package for this." ] }, { "cell_type": "code", - "execution_count": 16, - "id": "18d8326c-fea7-4fb5-a7bc-e38f4bbfdd05", + "execution_count": 9, + "id": "feed97dc-b521-4240-9446-8811c8694aeb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "Affine(36032.220840584, 0.0, -17367530.4451615,\n", + " 0.0, -36032.220840584, 7314540.8306386)" ] }, - "execution_count": 16, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "fig, ax = plt.subplots(2, 1)\n", - "gds.latitude.plot(ax=ax[0]);\n", - "gds.soil_moisture.plot(ax=ax[1])" + "transform = Affine(grid_cell_width, 0.0, x_upper_left_corner, \n", + " 0.0, grid_cell_height, y_upper_left_corner)\n", + "transform" ] }, { "cell_type": "markdown", - "id": "43d5222c-82ba-4c58-83b5-0b13c1919ec2", + "id": "ef6114e4-e3c3-427b-b8aa-e86ddd5b5df4", "metadata": {}, "source": [ - "Neither the plot of latitude nor the minimum and maximum values look as we would expect. We expect latitude to be in the range of -90 to +90. The maximum is actually in this range but the minimum is -9999., which is suspiciously like a `_FillData` or missing data value. We would also expect the image to show a smooth field that only varies in the vertical direction, e.g. from -90. to 90. or some similar range. Instead it shows a set of lozenges.\n", - "\n", - "Let's set the `_FillValue` attribute for latitude to `-9999`. In `xarray`, we have to use `where` to apply a mask everywhere a condition is not `True`. Here we set the condition to be _not equal to -9999._ To save time and errors later, we also set the `encoding` entry for `fillvalue` to -9999.\n", - "\n", - "
              \n", - "`encoding` is a dictionary of parameters that defines how data are \"encoded\" in the file. It includes information about how data are compressed, chunked, the _FillValue, and data type. Saving the `encoding` is not strictly necessary unless you want to write the data to a new file. We'll follow these steps here to demonstrate how to preserve the encoding data. \n", - "
              " + "The Affine matrix `transform` is then used to transform column and row indices into `x` and `y` coordinates." ] }, { - "cell_type": "code", - "execution_count": 17, - "id": "c65618de-eb3d-4f07-804c-81f0199a3ed4", + "cell_type": "markdown", + "id": "278c8ac2-72b7-417a-b5f7-c9bbe3d0869d", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'chunksizes': (1, 964), 'fletcher32': False, 'shuffle': False, 'preferred_chunks': {'phony_dim_0': 1, 'phony_dim_1': 964}, 'zlib': True, 'complevel': 2, 'source': '/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170301_R18290_001.h5', 'original_shape': (406, 964), 'dtype': dtype('" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(3, 1)\n", - "gds.latitude.plot(ax=ax[0]);\n", - "gds.longitude.plot(ax=ax[1]);\n", - "gds.soil_moisture.plot(ax=ax[2])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "efc6edf9-0555-4256-86c7-c6527c9746c7", - "metadata": {}, - "source": [ - "#### Adding x and y coordinates\n", - "\n", - "Missing values for latitude and longitude can cause problems for plotting and other operations. As noted above, the files do not include complete information about the coordinate reference system or the grid definition. So we need to do some data sleuthing.\n", - "\n", - "Tables 4 and 5 in the [User Guide](https://nsidc.org/sites/default/files/spl3smp-v008-userguide.pdf) provide geospatial information. Further information on EASE Grids can be found on [A Guide to EASE Grids page](https://nsidc.org/data/user-resources/help-center/guide-ease-grids).\n", - "\n", - "
              \n", - "Note: The ATBD for the L3 SMP data gives the data array dimensions as 406 x 963.\n", - "
              \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "3d642bf9-c8fb-431d-8467-7720a3378081", - "metadata": {}, - "source": [ - "The CRS and grid definition are independent. The CRS defines how projected coordinates, usually in meters, relate to geographic latitude and longitude. The grid definition relates how image coordinates (columns and rows) map to the projected coordinates. The Guide to EASE Grids has 8 grid definitions, ranging from 1 km to 36 km cell sizes, for the Global EASE-Grid 2.0 CRS (EPSG:9633). We could define many more grid definitions. For more information on CRS, map projections and grids see [_Link to be added_]().\n", - "\n", - "In the [table](https://nsidc.org/data/user-resources/help-center/guide-ease-grids#anchor-10) for the 36 km Global EASE-Grid 2.0 we are given the height and width of each grid cell, and the x and y coordinates of the upper-left corner of the upper-left grid cell. We can see that the 36 km grid cell size is not exact. In fact the value the table gives is not exact. The actual value runs to 9 decimal places. This is because the grid cell height and width of the global grid were defined so that an exact number of cells span the equator {@brodzik_ease}. This is not necessary for polar grids.\n", - "\n", - "
              \n", - "Tip: Exact definitions of CRS, projection and grid parameters can be found in the Grid Parameter Definition (gpd) files in the [`mapxmaps` GitHub repository](https://github.com/nsidc/mapxmaps). These gpd files have a somewhat esoteric format, so might take a little bit to understand. It is important that the grid definition is exact because we cannot merge datasets if the coordinates do not match, even to the 9th decimal place.\n", - "
              " - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "78dc5886-d10a-4ca7-b2df-e10ac1de0c8d", + "execution_count": 12, + "id": "d32c478e-2ff4-4e5c-8fca-c2317b82b5e4", "metadata": {}, "outputs": [], "source": [ - "grid_cell_width = 36032.220840584\n", - "grid_cell_height = -36032.220840584\n", - "x_upper_left_corner = -17367530.4451615\n", - "y_upper_left_corner = 7314540.8306386" - ] - }, - { - "cell_type": "markdown", - "id": "927e8b99-28d0-46d0-9c0e-8f9fd6223861", - "metadata": {}, - "source": [ - "The projected coordinates of a grid cell can be found using the following formulas:\n", + "x_da = xr.DataArray(\n", + " x, \n", + " dims=['x'], \n", + " attrs={\n", + " \"units\": \"m\",\n", + " \"long_name\": \"x coordinate of projection\",\n", + " \"standard_name\": \"projection_x_coordinate\",\n", + " }\n", + ")\n", "\n", - "$$\n", - "x = (grid\\_cell\\_width \\times row) + x\\_upper\\_left\\_corner\n", - "$$\n", - "$$\n", - "y = (grid\\_cell\\_height \\times column) + y\\_upper\\_left\\_corner)\n", - "$$\n", + "y_da = xr.DataArray(\n", + " y, \n", + " dims=['y'], \n", + " attrs={\n", + " \"units\": \"m\",\n", + " \"long_name\": \"y coordinate of projection\",\n", + " \"standard_name\": \"projection_y_coordinate\",\n", + " }\n", + ")\n", "\n", - "This equations assumes that the origin of the image coordinates start at row=0. and column=0. in the upper-left corner of the upper-left grid cell. So the center of the upper-left grid cell is row=0.5 and column=0.5. Adding 0.5 to row and column indices solves this problem.\n", - "\n", - "We could write a function to return (x, y) coordinates for (column, row) image coordinates using the equations above. Or we can use the `Affine` class from the `affine` package to define an affine matrix. This is what we'll do below. " - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "feed97dc-b521-4240-9446-8811c8694aeb", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Affine(36032.220840584, 0.0, -17367530.4451615,\n", - " 0.0, -36032.220840584, 7314540.8306386)" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "transform = Affine(grid_cell_width, 0.0, x_upper_left_corner, \n", - " 0.0, grid_cell_height, y_upper_left_corner)\n", - "transform" + "igbp_da = xr.DataArray(\n", + " igbp_class,\n", + " dims=['igbp_class'],\n", + " attrs={\n", + " \"long_name\": \"index for IGBP land cover type\",\n", + " }\n", + ")" ] }, { "cell_type": "markdown", - "id": "08669cb5-4848-41e7-a08b-0b3e71d21f40", + "id": "ab7e42b9-bc41-408c-8558-4b58ddf755f7", "metadata": {}, "source": [ - "This then allows us to calculate x and y coordinates from column and row indices using matrix multiplication." + "We use `assign_coords` to create coordinate variables." ] }, { "cell_type": "code", - "execution_count": 23, - "id": "98bd706e-78fc-4cc5-a11a-ff0cb22ca93c", + "execution_count": 13, + "id": "ea49d5f8-d654-44cf-97ca-f1ed3536d685", "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "(17367530.445161477, -7314540.830638505)" + "text/html": [ + "
              \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
              <xarray.Dataset> Size: 99MB\n",
+       "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
+       "Coordinates:\n",
+       "  * x                            (x) float64 8kB -1.735e+07 ... 1.735e+07\n",
+       "  * y                            (y) float64 3kB 7.297e+06 ... -7.297e+06\n",
+       "  * igbp_class                   (igbp_class) int64 24B 0 1 2\n",
+       "Data variables: (12/53)\n",
+       "    EASE_column_index            (y, x) float32 2MB ...\n",
+       "    EASE_row_index               (y, x) float32 2MB ...\n",
+       "    albedo                       (y, x) float32 2MB ...\n",
+       "    albedo_dca                   (y, x) float32 2MB ...\n",
+       "    albedo_scah                  (y, x) float32 2MB ...\n",
+       "    albedo_scav                  (y, x) float32 2MB ...\n",
+       "    ...                           ...\n",
+       "    tb_v_uncorrected             (y, x) float32 2MB ...\n",
+       "    vegetation_opacity           (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_dca       (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_scah      (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_scav      (y, x) float32 2MB ...\n",
+       "    vegetation_water_content     (y, x) float32 2MB ...
              " + ], + "text/plain": [ + " Size: 99MB\n", + "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", + "Coordinates:\n", + " * x (x) float64 8kB -1.735e+07 ... 1.735e+07\n", + " * y (y) float64 3kB 7.297e+06 ... -7.297e+06\n", + " * igbp_class (igbp_class) int64 24B 0 1 2\n", + "Data variables: (12/53)\n", + " EASE_column_index (y, x) float32 2MB ...\n", + " EASE_row_index (y, x) float32 2MB ...\n", + " albedo (y, x) float32 2MB ...\n", + " albedo_dca (y, x) float32 2MB ...\n", + " albedo_scah (y, x) float32 2MB ...\n", + " albedo_scav (y, x) float32 2MB ...\n", + " ... ...\n", + " tb_v_uncorrected (y, x) float32 2MB ...\n", + " vegetation_opacity (y, x) float32 2MB ...\n", + " vegetation_opacity_dca (y, x) float32 2MB ...\n", + " vegetation_opacity_scah (y, x) float32 2MB ...\n", + " vegetation_opacity_scav (y, x) float32 2MB ...\n", + " vegetation_water_content (y, x) float32 2MB ..." ] }, - "execution_count": 23, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "transform * (964, 406)" - ] - }, - { - "cell_type": "markdown", - "id": "549fc024-b032-406a-acdc-f7a76dea9e49", - "metadata": {}, - "source": [ - "We'll define vectors for the row and column indices of the grid cell centers, and then use the `transform` matrix to get x and y coordinates. These only need to be vectors as well because each column will have the same row indices and each row will have the same column indices. We'll use the `numpy.arange` function to do and start the range at 0.5 to offset the row and column indices for grid cell centers by 0.5." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "4a314543-1a0c-482d-86d3-5905b6b11b2b", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_599548/13705710.py:1: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n", - " nrows, ncolumns, nclass = gds.dims['y'], gds.dims['x'], gds.dims['igbp_class'] #data_vars['soil_moisture'][1].shape\n" - ] - } - ], - "source": [ - "nrows, ncolumns, nclass = gds.dims['y'], gds.dims['x'], gds.dims['igbp_class'] #data_vars['soil_moisture'][1].shape\n", - "row = np.arange(0.5, nrows)\n", - "column = np.arange(0.5, ncolumns)\n", - "\n", - "x, _ = transform * (column, 0.5)\n", - "_, y = transform * (0.5, row)\n", - "igbp_class = np.arange(nclass) # Add attributes" + "gds = gds.assign_coords(x=x_da, y=y_da, igbp_class=igbp_da)\n", + "gds" ] }, { "cell_type": "markdown", - "id": "85c7ee2c-05e7-4f00-a30c-e8697c91499e", + "id": "9fb25e2f-3f9a-4fc6-a796-c0e796b69fd0", "metadata": {}, "source": [ - "We need to assign `x`, `y`, and `igbp_class` as coordinates. This should be sufficient for plotting. However, if we want to reproject the data we should define the CRS and spatial coordinates, and transform. We do this using `rioxarray` accessors." + "This information should be sufficient for plotting and most other operations. However, if we want to reproject the data we should define the CRS and spatial coordinates, and transform. We do this using `rioxarray` accessors." ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 14, "id": "4fda308a-6433-4174-b14e-b162a71ae729", "metadata": {}, "outputs": [ @@ -1769,28 +2048,76 @@ " */\n", "\n", ":root {\n", - " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", - " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", - " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", - " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n", - " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n", - " --xr-background-color: var(--jp-layout-color0, white);\n", - " --xr-background-color-row-even: var(--jp-layout-color1, white);\n", - " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", + " --xr-font-color0: var(\n", + " --jp-content-font-color0,\n", + " var(--pst-color-text-base rgba(0, 0, 0, 1))\n", + " );\n", + " --xr-font-color2: var(\n", + " --jp-content-font-color2,\n", + " var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n", + " );\n", + " --xr-font-color3: var(\n", + " --jp-content-font-color3,\n", + " var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n", + " );\n", + " --xr-border-color: var(\n", + " --jp-border-color2,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n", + " );\n", + " --xr-disabled-color: var(\n", + " --jp-layout-color3,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n", + " );\n", + " --xr-background-color: var(\n", + " --jp-layout-color0,\n", + " var(--pst-color-on-background, white)\n", + " );\n", + " --xr-background-color-row-even: var(\n", + " --jp-layout-color1,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n", + " );\n", + " --xr-background-color-row-odd: var(\n", + " --jp-layout-color2,\n", + " hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n", + " );\n", "}\n", "\n", "html[theme=\"dark\"],\n", "html[data-theme=\"dark\"],\n", "body[data-theme=\"dark\"],\n", "body.vscode-dark {\n", - " --xr-font-color0: rgba(255, 255, 255, 1);\n", - " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", - " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", - " --xr-border-color: #1f1f1f;\n", - " --xr-disabled-color: #515151;\n", - " --xr-background-color: #111111;\n", - " --xr-background-color-row-even: #111111;\n", - " --xr-background-color-row-odd: #313131;\n", + " --xr-font-color0: var(\n", + " --jp-content-font-color0,\n", + " var(--pst-color-text-base, rgba(255, 255, 255, 1))\n", + " );\n", + " --xr-font-color2: var(\n", + " --jp-content-font-color2,\n", + " var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n", + " );\n", + " --xr-font-color3: var(\n", + " --jp-content-font-color3,\n", + " var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n", + " );\n", + " --xr-border-color: var(\n", + " --jp-border-color2,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n", + " );\n", + " --xr-disabled-color: var(\n", + " --jp-layout-color3,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n", + " );\n", + " --xr-background-color: var(\n", + " --jp-layout-color0,\n", + " var(--pst-color-on-background, #111111)\n", + " );\n", + " --xr-background-color-row-even: var(\n", + " --jp-layout-color1,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n", + " );\n", + " --xr-background-color-row-odd: var(\n", + " --jp-layout-color2,\n", + " hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n", + " );\n", "}\n", "\n", ".xr-wrap {\n", @@ -1846,6 +2173,7 @@ "\n", ".xr-section-item input + label {\n", " color: var(--xr-disabled-color);\n", + " border: 2px solid transparent !important;\n", "}\n", "\n", ".xr-section-item input:enabled + label {\n", @@ -1854,7 +2182,7 @@ "}\n", "\n", ".xr-section-item input:focus + label {\n", - " border: 2px solid var(--xr-font-color0);\n", + " border: 2px solid var(--xr-font-color0) !important;\n", "}\n", "\n", ".xr-section-item input:enabled + label:hover {\n", @@ -1986,7 +2314,9 @@ ".xr-var-item label,\n", ".xr-var-item > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-even);\n", + " border-color: var(--xr-background-color-row-odd);\n", " margin-bottom: 0;\n", + " padding-top: 2px;\n", "}\n", "\n", ".xr-var-item > .xr-var-name:hover span {\n", @@ -1997,6 +2327,7 @@ ".xr-var-list > li:nth-child(odd) > label,\n", ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-odd);\n", + " border-color: var(--xr-background-color-row-even);\n", "}\n", "\n", ".xr-var-name {\n", @@ -2046,8 +2377,15 @@ ".xr-var-data,\n", ".xr-index-data {\n", " display: none;\n", - " background-color: var(--xr-background-color) !important;\n", - " padding-bottom: 5px !important;\n", + " border-top: 2px dotted var(--xr-background-color);\n", + " padding-bottom: 20px !important;\n", + " padding-top: 10px !important;\n", + "}\n", + "\n", + ".xr-var-attrs-in + label,\n", + ".xr-var-data-in + label,\n", + ".xr-index-data-in + label {\n", + " padding: 0 1px;\n", "}\n", "\n", ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", @@ -2060,6 +2398,12 @@ " float: right;\n", "}\n", "\n", + ".xr-var-data > pre,\n", + ".xr-index-data > pre,\n", + ".xr-var-data > table > tbody > tr {\n", + " background-color: transparent !important;\n", + "}\n", + "\n", ".xr-var-name span,\n", ".xr-var-data,\n", ".xr-index-name div,\n", @@ -2119,6 +2463,14 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", + "\n", + ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n", + ".xr-var-data-in:checked + label > .xr-icon-database,\n", + ".xr-index-data-in:checked + label > .xr-icon-database {\n", + " color: var(--xr-font-color0);\n", + " filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n", + " stroke-width: 0.8px;\n", + "}\n", "
              <xarray.Dataset> Size: 99MB\n",
        "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
        "Coordinates:\n",
@@ -2139,33 +2491,9 @@
        "    vegetation_opacity_dca       (y, x) float32 2MB ...\n",
        "    vegetation_opacity_scah      (y, x) float32 2MB ...\n",
        "    vegetation_opacity_scav      (y, x) float32 2MB ...\n",
-       "    vegetation_water_content     (y, x) float32 2MB ...
              • " ], "text/plain": [ " Size: 99MB\n", @@ -2209,14 +2537,12 @@ " vegetation_water_content (y, x) float32 2MB ..." ] }, - "execution_count": 25, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "gds = gds.assign_coords(x=x, y=y, igbp_class=igbp_class)\n", - "\n", "gds.rio.write_crs(6933, grid_mapping_name='wgs84_easegrid2_global', inplace=True)\n", "gds.rio.set_spatial_dims(x_dim='x', y_dim='y', inplace=True)\n", "gds.rio.write_coordinate_system(inplace=True)\n", @@ -2225,9 +2551,17 @@ "gds" ] }, + { + "cell_type": "markdown", + "id": "955cfe79-d1a9-45bf-8b95-00a3500c4997", + "metadata": {}, + "source": [ + "A new special _coordinate variable_ has been created with the official name of the EASE-Grid 2.0 Global CRS. Information about the CRS and grid definition can be found using `rasterio` accessors. " + ] + }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 15, "id": "29cb574a-7f44-4924-b275-0fce25606569", "metadata": {}, "outputs": [ @@ -2245,15 +2579,37 @@ "print(gds.rio.bounds())" ] }, + { + "cell_type": "markdown", + "id": "124db98a-a309-42a5-81b7-600649be3298", + "metadata": {}, + "source": [ + "## Plot the data\n", + "\n", + "We can now plot the data on a map using cartopy.\n", + "\n", + "We use `cartopy.crs.epsg` method to define a cartopy projection from the EPSG we just assigned to the dataset. " + ] + }, { "cell_type": "code", - "execution_count": 27, - "id": "70f54aaa-a1fc-46a2-826d-737bd71aa386", + "execution_count": 16, + "id": "ddd904e0-461b-4e05-b94f-9d9bbad5e44f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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+ "text/plain": [ + "Text(0.5, 1.0, 'SMAP Soil Mosture')" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", "text/plain": [ "
              " ] @@ -2265,165 +2621,21 @@ "source": [ "EASEGrid2 = ccrs.epsg(gds.rio.crs.to_epsg())\n", "\n", - "fig = plt.figure(figsize=(12,7))\n", - "ax = fig.add_subplot(projection=EASEGrid2)\n", - "\n", - "ax.coastlines()\n", - "gds.soil_moisture.plot(ax=ax,)\n", - "ax.set_title('Soil Moisture');" - ] - }, - { - "cell_type": "markdown", - "id": "31723e14-f98c-49e3-ac2b-912da23c3605", - "metadata": {}, - "source": [ - "## Appendix A: Why use CF conventions\n", - "\n", - ">The purpose of the CF conventions is to require conforming datasets to contain sufficient metadata that they are self-describing in the sense that each variable in the file has an associated description of what it represents, including physical units if appropriate, and that each value can be located in space (relative to earth-based coordinates) and time.\n", - ">\n", - ">An important benefit of a convention is that it enables software tools to display data and perform operations on specified subsets of the data with minimal user intervention. It is possible to provide the metadata describing how a field is located in time and space in many different ways that a human would immediately recognize as equivalent. The purpose in restricting how the metadata is represented is to make it practical to write software that allows a machine to parse that metadata and to automatically associate each data value with its location in time and space. It is equally important that the metadata be easy for human users to write and to understand.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "ae67f0aa-b858-4ee1-aa29-3961df9c54cc", - "metadata": {}, - "source": [ - "## Extra Stuff to be refined" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "1d00eaa2-7b6e-477a-b71c-6d90d09aa0a2", - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'h5py' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[28], line 5\u001b[0m\n\u001b[1;32m 3\u001b[0m data_vars \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 4\u001b[0m dims \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[43mh5py\u001b[49m\u001b[38;5;241m.\u001b[39mFile(smap_files[\u001b[38;5;241m0\u001b[39m]) \u001b[38;5;28;01mas\u001b[39;00m root:\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m dataset \u001b[38;5;129;01min\u001b[39;00m datasets:\n\u001b[1;32m 7\u001b[0m ds \u001b[38;5;241m=\u001b[39m root[dataset]\n", - "\u001b[0;31mNameError\u001b[0m: name 'h5py' is not defined" - ] - } - ], - "source": [ - "grid_mapping_name = \"WGS84_NSIDC_EASEGrid_2.0_Global\"\n", - "datasets = ['Soil_Moisture_Retrieval_Data_AM/soil_moisture', 'Soil_Moisture_Retrieval_Data_AM/retrieval_qual_flag']\n", - "data_vars = {}\n", - "dims = ['y', 'x']\n", - "with h5py.File(smap_files[0]) as root:\n", - " for dataset in datasets:\n", - " ds = root[dataset]\n", - " path = ds.name\n", - " name = path.split('/')[-1]\n", - " attrs = {k: (v.decode('UTF-8') if hasattr(v, 'decode') else v) for k, v in dict(ds.attrs).items()}\n", - " attrs['grid_mapping'] = grid_mapping_name # Add so that dataset is CF-compliant and geoferenced\n", - " data_vars[name] = (dims, ds[:], attrs)\n", - "\n", - "data_vars\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39afd220-8f13-4993-a25a-5ec0513476be", - "metadata": {}, - "outputs": [], - "source": [ - "plt.imshow(data_vars['soil_moisture'][1])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1d7878b4-eec8-4214-8479-df2a8aab1016", - "metadata": {}, - "outputs": [], - "source": [ - "data_vars['soil_moisture'][1].shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5329fb83-8b95-42db-8ac1-7efe555a0c4f", - "metadata": {}, - "outputs": [], - "source": [ - "plt.pcolormesh(x, y, data_vars['soil_moisture'][1])" - ] - }, - { - "cell_type": "markdown", - "id": "083d7efa-0fb3-418b-93b6-04132a0375fe", - "metadata": {}, - "source": [ - "We also need to define the CRS. We know that the CRS has the EPSG code 6933. We can use `pyproj` to get the CRS definition." - ] - }, - { - "cell_type": "markdown", - "id": "fcbd0150-c72c-453b-8045-489f702b8349", - "metadata": {}, - "source": [ - "Base on [CF-Conventions](http://cfconventions.org/cf-conventions/cf-conventions.html#grid-mappings-and-projections), we add the CRS as a variable with the same name as we used for the `grid_mapping` attribute of each data variable. We define this variable as an integer. The grid mapping information is then copied as attributes for that variable. We use the `to_cf()` method of the `pyproj.CRS` object to do this." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "037dc012-8f52-4144-b929-fb3169dcebeb", - "metadata": {}, - "outputs": [], - "source": [ - "ds = xr.Dataset(data_vars, coords={'x': x, 'y': y})\n", - "ds" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "667dbefd-1a3e-4b9f-94a7-dfc0cb314961", - "metadata": {}, - "outputs": [], - "source": [ - "ds.rio.write_crs(6933, inplace=True)\n", + "p = gds.soil_moisture.plot(\n", + " subplot_kws=dict(\n", + " projection=EASEGrid2, \n", + " facecolor=\"lightgrey\",\n", + " ),\n", + " cbar_kwargs=dict(\n", + " shrink=0.5,\n", + " label=gds.soil_moisture.attrs[\"units\"],\n", + " ),\n", + " figsize=(12,7),\n", + ")\n", "\n", - "#ds[grid_mapping_name].attrs = crs.to_cf()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "58167732-336b-49a1-b915-2b3683336226", - "metadata": {}, - "outputs": [], - "source": [ - "ds =xr.decode_cf(ds)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f479de98-57b8-401d-8ae6-f5372c835dc1", - "metadata": {}, - "outputs": [], - "source": [ - "ds.soil_moisture.plot()" + "p.axes.coastlines()\n", + "p.axes.set_title(\"SMAP Soil Mosture\")" ] - }, - { - "cell_type": "markdown", - "id": "c98fef70-b2eb-4e17-90f1-58d8e93c2f56", - "metadata": {}, - "source": [] } ], "metadata": { From 42c3edba45004218ef9dca7176878b23dea1873c Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 24 Sep 2025 16:32:53 -0600 Subject: [PATCH 23/31] add notebook with more detail about fixing data --- .../create_geospatial_dataset_in_xarray.ipynb | 2895 +++++++++++++++++ 1 file changed, 2895 insertions(+) create mode 100644 notebooks/SMAP/create_geospatial_dataset_in_xarray.ipynb diff --git a/notebooks/SMAP/create_geospatial_dataset_in_xarray.ipynb b/notebooks/SMAP/create_geospatial_dataset_in_xarray.ipynb new file mode 100644 index 0000000..e3c64bd --- /dev/null +++ b/notebooks/SMAP/create_geospatial_dataset_in_xarray.ipynb @@ -0,0 +1,2895 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d7f304af-0d17-4a3b-abfb-19ead5264352", + "metadata": {}, + "source": [ + "# Create a Georeferenced Dataset in xarray\n", + "\n", + "## Introduction\n", + "\n", + "This notebook provides a more detailed explanation of the steps, described in [working_with_smap_in_xarray](working_with_smap_in_xarray.ipynb), that are required to create a georeferenced `xarray.Dataset` from SMAP SPL3SMP data.\n", + "\n", + "## Why create a georeferenced dataset\n", + "\n", + "Georeferenced data sets are a keystone for Earth science analysis workflows. If you data is not georeferenced, it cannot be tied to a location on Earth. \n", + "\n", + "Your analysis may be as simple as plotting a map. You may want to transform the data so it can be used with another data set, or you may want to perform some spatial subsetting. Each of these tasks requires that the coordinate system of the dataset is known and that there is sufficient information to relate the coordinate system to an actual location on the Earth. The coordinate system may be a Geodetic coordinate system (e.g. _latitude_ and _longitude_) or a projected coordinated system with cartesian coordinates (e.g. _x_ and _y_). The coordinate system may also include a _height_ component (sometimes _z_ or atmospheric _level_). Other non-geospatial dimensions, such as _time_ may also be included. \n", + "\n", + "The relationship between the coordinate system and a location on the Earth is defined by a coordinate reference system (CRS), sometimes called a spatial reference system (SRS). This includes a reference ellipsoid and datum, and, if the data are in a projected coordinate system, information about the projection method and projection parameters. Ideally, this information is included in the data file, following a standard convention, so that software tools can interpret this information directly. Including this information in files also makes it very easy for users to understand the data.\n", + "\n", + "## An introduction to xarray\n", + "\n", + "[`xarray`](https://docs.xarray.dev/en/latest/getting-started-guide/why-xarray.html) is one of the most popular tools for working with multi-dimensional geoscience data. It uses a data model based on the netCDF file format and CF-Conventions commonly used in the geosciences. This data model has the concepts of _dimensions_ and _coordinates_ that are associated with each variable. Dimensions are the axes of n-dimensional data arrays. In geoscience, these are commonly spatial dimensions such as latitude, longitude, x, y, height, as well as time. Dimensions are associated with coordinates that map arrays values to locations in space and time.\n", + "\n", + "There are many advantages to having well-named dimensions along with coordinates. A key advantage is that code is easier to understand for a _future-you_ and for others users, and it is likely to be less error-prone. Another important advantage is that it allows access to the powerful analysis features of `xarray`, as well as other software tools.\n", + "\n", + "## Why we need to fix SMAP data\n", + "\n", + "The SMAP HDF5 data files do not have named dimensions. Nor do they contain sufficient information to geolocate data on the Earth surface. Fortunately, this is easy to fix. In the following sections we will:\n", + "\n", + "1. add meaningful dimension names;\n", + "2. mask missing data;\n", + "3. add coordinate information to the dataset;\n", + "4. add a coordinate reference system information the dataset." + ] + }, + { + "cell_type": "markdown", + "id": "86f1b2e4-bb06-4a85-b53c-263aff4760d0", + "metadata": {}, + "source": [ + "## Import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ded9b878-6078-45c1-981d-d062b8f0d8fa", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/apbarret/mambaforge/envs/nsidc-tutorials-dev/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from pathlib import Path # for working with paths on the local file system\n", + "from pprint import pprint # for nice printing\n", + "\n", + "# For data search and download\n", + "import earthaccess\n", + "\n", + "# For reading and working with the data\n", + "# import rioxarray\n", + "import xarray as xr\n", + "import rioxarray\n", + "import numpy as np\n", + "\n", + "# For defining CRS and image coordinate system\n", + "from affine import Affine\n", + "from pyproj import CRS\n", + "\n", + "# For plotting\n", + "import matplotlib.pyplot as plt\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cfeature" + ] + }, + { + "cell_type": "markdown", + "id": "9ba1bf9e-dfbb-48a4-9478-c25b275374e7", + "metadata": {}, + "source": [ + "## Download data\n", + "\n", + "We'll use the same data as in [working_with_smap_in_xarray](notebooks/SMAP/working_with_smap_in_xarray.ipynb). Even if you have already run that notebook, still run the cell below. `earthaccess.download` checks if files exist locally and does not download them again." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ba142d51-2671-4dd7-af08-f13c346548fb", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "QUEUEING TASKS | : 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 7770.94it/s]\n", + "PROCESSING TASKS | : 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 169965.26it/s]\n", + "COLLECTING RESULTS | : 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:00<00:00, 195230.37it/s]\n" + ] + } + ], + "source": [ + "auth = earthaccess.login()\n", + "\n", + "results = earthaccess.search_data(\n", + " short_name = 'SPL3SMP',\n", + " version = '009',\n", + " cloud_hosted = True,\n", + " temporal = ('2017-03-01','2017-03-31')\n", + ")\n", + "\n", + "smap_files = earthaccess.download(results, local_path=\"smap_data\")" + ] + }, + { + "cell_type": "markdown", + "id": "abc296c3-3266-46df-b097-8733e103c6ab", + "metadata": {}, + "source": [ + "## Load data\n", + "\n", + "As with [working_with_smap_in_xarray](notebooks/SMAP/working_with_smap_in_xarray.ipynb), we will load data for the `Soil_Moisture_Retrieval_Data_AM` group using `xarray`." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "51ef3e7a-5801-420c-9f53-1e484c643304", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
              \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
              <xarray.Dataset> Size: 99MB\n",
+       "Dimensions:                      (phony_dim_0: 406, phony_dim_1: 964,\n",
+       "                                  phony_dim_2: 3)\n",
+       "Dimensions without coordinates: phony_dim_0, phony_dim_1, phony_dim_2\n",
+       "Data variables: (12/53)\n",
+       "    EASE_column_index            (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    EASE_row_index               (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    albedo                       (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    albedo_dca                   (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    albedo_scah                  (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    albedo_scav                  (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    ...                           ...\n",
+       "    tb_v_uncorrected             (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    vegetation_opacity           (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    vegetation_opacity_dca       (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    vegetation_opacity_scah      (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    vegetation_opacity_scav      (phony_dim_0, phony_dim_1) float32 2MB ...\n",
+       "    vegetation_water_content     (phony_dim_0, phony_dim_1) float32 2MB ...
              " + ], + "text/plain": [ + " Size: 99MB\n", + "Dimensions: (phony_dim_0: 406, phony_dim_1: 964,\n", + " phony_dim_2: 3)\n", + "Dimensions without coordinates: phony_dim_0, phony_dim_1, phony_dim_2\n", + "Data variables: (12/53)\n", + " EASE_column_index (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " EASE_row_index (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " albedo (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " albedo_dca (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " albedo_scah (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " albedo_scav (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " ... ...\n", + " tb_v_uncorrected (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " vegetation_opacity (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " vegetation_opacity_dca (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " vegetation_opacity_scah (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " vegetation_opacity_scav (phony_dim_0, phony_dim_1) float32 2MB ...\n", + " vegetation_water_content (phony_dim_0, phony_dim_1) float32 2MB ..." + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gds = xr.open_dataset(smap_files[0], group='Soil_Moisture_Retrieval_Data_AM', \n", + " phony_dims='sort', engine=\"h5netcdf\", decode_coords=\"all\",\n", + " decode_timedelta=True)\n", + "gds" + ] + }, + { + "cell_type": "markdown", + "id": "fd36c2be-b45e-47db-9cdf-267deacafb7d", + "metadata": {}, + "source": [ + "## Rename dimension names\n", + "\n", + "53 variables are loaded from `Soil_Moisture_Retrieval_Data_AM`. However, we can immediately see some issues. The dimensions are named `phony_dim_0`, `phony_dim_1`, and `phony_dim_2`, which is not much help. This is because no dimensions are assigned to Datasets, so `xarray` has to generate some dummy variables.\n", + " \n", + "We'll change the names of the dimensions to something meaningful. First, we need figure out what the dimensions are. This is more diffcult than is should be and requires some data sleuthing and assumptions. The description of the `landcover_class` offers some information, albeit misleading, but it is a clue.\n", + "\n", + "> An enumerated type that specifies the most common landcover class in the grid cell based on the IGBP landcover map. The array order is longitude (ascending), followed by latitude (descending), and followed by IGBP land cover type descending dominance (only the first three types are listed)\n", + "\n", + "This description states that the dimensions of the landcover_class array are longitude, latitude and IGBP land cover class. The data are in projected coordinates (the EASE Grid 2.0 Global) **so longitude and latitude cannot be dimensions**. Longitude and latitude in projected coordinate systems must be 2D arrays. For projected coordinate systems, coordnates are usually x and y, or easting and northing. From the user guide, we also know that the data are on a grid with 964 columns and 406 rows, and cells that have a nominal cell-size of 36 km by 36 km. Based on this information we can assume that `phony_dim_0` is the y-dimension and `phony_dim_1` is the x-dimension in cartesian coordinates. The 3rd dimension (`phoney_dim_2`) appears to be land cover class. We can plot the data to confirm that this at least looks correct. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ed1c6816-8bda-407e-803b-438c504b2950", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
              " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gds.albedo.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "de4bc30c-5718-4996-abba-e270cf0e0782", + "metadata": {}, + "source": [ + "Apart from looking like the data is upside down, our assumptions about `x` and `y` look to be correct. So we'll rename the coordinates:\n", + "\n", + " - `phony_dim_0 --> y`\n", + " - `phony_dim_1 --> x`\n", + " - `phony_dim_2 --> igbp_class`\n", + "\n", + "We can do this using `rename_dims`, which takes a dictionary as an argument, where keys are the old dimension name and values are the new dimension name." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "69dfd841-638b-4e88-908f-70a63cb23a12", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
              \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
              <xarray.Dataset> Size: 99MB\n",
+       "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
+       "Dimensions without coordinates: y, x, igbp_class\n",
+       "Data variables: (12/53)\n",
+       "    EASE_column_index            (y, x) float32 2MB ...\n",
+       "    EASE_row_index               (y, x) float32 2MB ...\n",
+       "    albedo                       (y, x) float32 2MB ...\n",
+       "    albedo_dca                   (y, x) float32 2MB ...\n",
+       "    albedo_scah                  (y, x) float32 2MB ...\n",
+       "    albedo_scav                  (y, x) float32 2MB ...\n",
+       "    ...                           ...\n",
+       "    tb_v_uncorrected             (y, x) float32 2MB ...\n",
+       "    vegetation_opacity           (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_dca       (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_scah      (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_scav      (y, x) float32 2MB ...\n",
+       "    vegetation_water_content     (y, x) float32 2MB ...
              " + ], + "text/plain": [ + " Size: 99MB\n", + "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", + "Dimensions without coordinates: y, x, igbp_class\n", + "Data variables: (12/53)\n", + " EASE_column_index (y, x) float32 2MB ...\n", + " EASE_row_index (y, x) float32 2MB ...\n", + " albedo (y, x) float32 2MB ...\n", + " albedo_dca (y, x) float32 2MB ...\n", + " albedo_scah (y, x) float32 2MB ...\n", + " albedo_scav (y, x) float32 2MB ...\n", + " ... ...\n", + " tb_v_uncorrected (y, x) float32 2MB ...\n", + " vegetation_opacity (y, x) float32 2MB ...\n", + " vegetation_opacity_dca (y, x) float32 2MB ...\n", + " vegetation_opacity_scah (y, x) float32 2MB ...\n", + " vegetation_opacity_scav (y, x) float32 2MB ...\n", + " vegetation_water_content (y, x) float32 2MB ..." + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gds = gds.rename_dims({'phony_dim_0': 'y', 'phony_dim_1': 'x', 'phony_dim_2': 'igbp_class'})\n", + "gds" + ] + }, + { + "cell_type": "markdown", + "id": "dfcb6847-0cad-4c0d-b50b-37c627973223", + "metadata": {}, + "source": [ + "#### Add coordinate variables\n", + "\n", + "[Coordinate variables](https://cfconventions.org/Data/cf-conventions/cf-conventions-1.11/cf-conventions.html#coordinate-types) locate the data in space and time. Each coordinate variable is a 1-dimensional array associated with a single dimension, usually with the same name as that dimension, and has the same size as that dimensions. Values for coordinate variables give the position of each grid cell within the dataset's coordinate system. Two-dimensional _auxillary coordinates_ are also allowed. These _auxillary coordinates_ need to be related to data variables by including a `coordinates` attribute that lists the _auxillary coordinates_. Coordinate variables are not allowed to have missing values. However, _auxillary coordinates_ can have missing values.\n", + "\n", + "\n", + "The SMAP data contain 2-dimensional `latitude` and `longitude` grids. Although data variables have a `coordinates` attribute, `xarray` cannot find the coordinate grids because the group name is included in the coordinate name.\n", + "\n", + "Because `latitude` and `longitude` are likely coordinate variables, we'll plot them. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "dd5932ff-0e74-4f8b-a7f1-48760ad02e06", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
              " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(2, 1)\n", + "gds.latitude.plot(ax=ax[0])\n", + "gds.longitude.plot(ax=ax[1])" + ] + }, + { + "cell_type": "markdown", + "id": "3cb0caf7-62da-4171-a3b8-cff327a1c222", + "metadata": {}, + "source": [ + "This looks a little strange. Printing minima and maxima for `latitude` and `longitude`, shows that minimum values are outside of the expected ranges: -90 to 90 for `latitude`, and -180 to 180 or 0 to 360 for `longitude`." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "aae2a30e-54d8-4997-bbac-03b265732e4c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Latitude: Min = -9999.0, Max = 83.63197326660156\n", + "Longitude: Min = -9999.0, Max = 179.8132781982422\n" + ] + } + ], + "source": [ + "print(f\"Latitude: Min = {gds.latitude.min().values}, \"\n", + " f\"Max = {gds.latitude.max().values}\")\n", + "print(f\"Longitude: Min = {gds.longitude.min().values}, \"\n", + " f\"Max = {gds.longitude.max().values}\")" + ] + }, + { + "cell_type": "markdown", + "id": "86e98f2a-bc19-49f3-ad54-d1e2a2fb87a2", + "metadata": {}, + "source": [ + "If we plot both latitude and soil_moisture, we can see that latitude values have been masked with -9999. where there are no valid data values. **This is not a good or sensible approach because latitude and longitude are coordinates. As long as latitude and longitude values are between -90 and 90, and -180 and 180 (or 0 and 360), they are valid coordinates. While CF-Conventions allow missing values are allowed for _auxillary coordinates_, we need coordinates for all grid cells for plotting and other operations.** " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "9aa42013-06dd-476f-a463-c23ab4f94782", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
              " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(2, 1)\n", + "gds.latitude.plot(ax=ax[0]);\n", + "gds.soil_moisture.plot(ax=ax[1])" + ] + }, + { + "cell_type": "markdown", + "id": "656d1df3-c810-4af1-b008-4ecf2c6b15a9", + "metadata": {}, + "source": [ + "Neither the plot of latitude nor the minimum and maximum values look as we would expect. We expect latitude to be in the range of -90 to +90. The maximum is actually in this range but the minimum is -9999., which is suspiciously like a `_FillData` or missing data value. We would also expect the image to show a smooth field that only varies in the vertical direction, e.g. from -90. to 90. or some similar range. Instead it shows a set of lozenges.\n", + "\n", + "Let's set the `_FillValue` attribute for latitude to `-9999`. In `xarray`, we have to use `where` to apply a mask everywhere a condition is not `True`. Here we set the condition to be _not equal to -9999._ To save time and errors later, we also set the `encoding` entry for `fillvalue` to -9999.\n", + "\n", + "
              \n", + "`encoding` is a dictionary of parameters that defines how data are \"encoded\" in the file. It includes information about how data are compressed, chunked, the _FillValue, and data type. Saving the `encoding` is not strictly necessary unless you want to write the data to a new file. We'll follow these steps here to demonstrate how to preserve the encoding data. \n", + "
              " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "1ef4840a-fa3f-4499-a4e6-e6cb413f8016", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'chunksizes': (1, 964), 'fletcher32': False, 'shuffle': False, 'preferred_chunks': {'phony_dim_0': 1, 'phony_dim_1': 964}, 'zlib': True, 'complevel': 2, 'source': '/home/apbarret/src/NSIDC-Data-Tutorials/notebooks/SMAP/smap_data/SMAP_L3_SM_P_20170301_R19240_001.h5', 'original_shape': (406, 964), 'dtype': dtype('" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
              " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(3, 1)\n", + "gds.latitude.plot(ax=ax[0]);\n", + "gds.longitude.plot(ax=ax[1]);\n", + "gds.soil_moisture.plot(ax=ax[2])" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "b43b9353-5fe1-4468-bc72-e835b70fd0d2", + "metadata": {}, + "source": [ + "#### Adding x and y coordinates\n", + "\n", + "Missing values for latitude and longitude can cause problems for plotting and other operations. As noted above, the files do not include complete information about the coordinate reference system or the grid definition. So we need to do some data sleuthing.\n", + "\n", + "Tables 4 and 5 in the [User Guide](https://nsidc.org/sites/default/files/spl3smp-v008-userguide.pdf) provide geospatial information. Further information on EASE Grids can be found on [A Guide to EASE Grids page](https://nsidc.org/data/user-resources/help-center/guide-ease-grids).\n", + "\n", + "
              \n", + "Note: The ATBD for the L3 SMP data gives the data array dimensions as 406 x 963.\n", + "
              \n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "dc7b9f73-7612-42fb-8d9a-0519d1bbbc63", + "metadata": {}, + "source": [ + "The CRS and grid definition are independent. The CRS defines how projected coordinates, usually in meters, relate to geographic latitude and longitude. The grid definition relates how image coordinates (columns and rows) map to the projected coordinates. The Guide to EASE Grids has 8 grid definitions, ranging from 1 km to 36 km cell sizes, for the Global EASE-Grid 2.0 CRS (EPSG:9633). We could define many more grid definitions. For more information on CRS, map projections and grids see [_Link to be added_]().\n", + "\n", + "In the [table](https://nsidc.org/data/user-resources/help-center/guide-ease-grids#anchor-10) for the 36 km Global EASE-Grid 2.0 we are given the height and width of each grid cell, and the x and y coordinates of the upper-left corner of the upper-left grid cell. We can see that the 36 km grid cell size is not exact. In fact the value the table gives is not precise enough. The actual value runs to 9 decimal places. This is because the grid cell height and width of the global grid were defined so that an exact number of cells span the equator {@brodzik_ease}. This is not necessary for polar grids.\n", + "\n", + "
              \n", + "Tip: Exact definitions of CRS, projection and grid parameters can be found in the Grid Parameter Definition (gpd) files in the [`mapxmaps` GitHub repository](https://github.com/nsidc/mapxmaps). These gpd files have a somewhat esoteric format, so might take a little bit to understand. It is important that the grid definition is exact because we cannot merge datasets if the coordinates do not match, even to the 9th decimal place.\n", + "
              " + ] + }, + { + "cell_type": "markdown", + "id": "f3087f5c-5a09-4f61-b5a4-c16325fd5414", + "metadata": {}, + "source": [ + "The relevant gpd file for the SMAP data is `EASE2_M36km.gpd`, which we show here.\n", + "\n", + "```\n", + "; 36 km Global EASE-Grid-2.0 grid parameter definition.\n", + "; This projection uses the WGS84 ellipsoid.\n", + "; The left and right edges of the grid are at -+180.0000000 deg longitude.\n", + "; The top and bottom edges of the grid are at +-85.0445664 deg latitude.\n", + "Map Projection: Cylindrical Equal-Area (ellipsoid)\n", + "Map Reference Latitude: 0.0\n", + "Map Reference Longitude: 0.0\n", + "Map Second Reference Latitude: 30.0\n", + "Map Rotation: 0.0\n", + "Map Equatorial Radius: 6378137.0 ; wgs84\n", + "Map Eccentricity: 0.081819190843 ; wgs84\n", + "Map Origin X: -17367530.4451615 ; meters, -180.0000 deg lon\n", + " ; mapped to X\n", + "Map Origin Y: 7314540.8306386 ; meters, Grid Map Units\n", + " ; per Cell *\n", + " ; Grid Height / 2\n", + "Grid Map Origin Column: -0.5\n", + "Grid Map Origin Row: -0.5\n", + "Grid Map Units per Cell: 36032.220840584 ; meters, -2 * Map Origin X\n", + " : / Grid Width\n", + "Grid Width: 964\n", + "Grid Height: 406 \n", + "```\n", + "\n", + "The grid cell width and height is given by `Grid Map Units per Cell`. The `x` and `y` coordinates for the grid is given by `Map Origin X` and `Map Origin Y`." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "f3ea6cda-962c-494c-b01d-078aef98a155", + "metadata": {}, + "outputs": [], + "source": [ + "grid_cell_width = 36032.220840584\n", + "grid_cell_height = -36032.220840584\n", + "x_upper_left_corner = -17367530.4451615\n", + "y_upper_left_corner = 7314540.8306386" + ] + }, + { + "cell_type": "markdown", + "id": "335d956d-0dd1-47d1-941a-d1fcca30ff22", + "metadata": {}, + "source": [ + "The projected coordinates of a grid cell can be found using the following formulas:\n", + "\n", + "$$\n", + "x = (grid\\_cell\\_width \\times row) + x\\_upper\\_left\\_corner\n", + "$$\n", + "$$\n", + "y = (grid\\_cell\\_height \\times column) + y\\_upper\\_left\\_corner)\n", + "$$\n", + "\n", + "This equations assumes that the origin of the image coordinates start at row=0. and column=0. in the upper-left corner of the upper-left grid cell. So the center of the upper-left grid cell is row=0.5 and column=0.5. Adding 0.5 to row and column indices solves this problem.\n", + "\n", + "We could write a function to return (x, y) coordinates for (column, row) image coordinates using the equations above. Or we can use the `Affine` class from the `affine` package to define an affine matrix. This is what we'll do below. " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "488a528d-b57a-40ce-9436-5926d49036f1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Affine(36032.220840584, 0.0, -17367530.4451615,\n", + " 0.0, -36032.220840584, 7314540.8306386)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "transform = Affine(grid_cell_width, 0.0, x_upper_left_corner, \n", + " 0.0, grid_cell_height, y_upper_left_corner)\n", + "transform" + ] + }, + { + "cell_type": "markdown", + "id": "2c99546a-c322-4586-be82-723ccd0ad1e0", + "metadata": {}, + "source": [ + "This then allows us to calculate x and y coordinates from column and row indices using matrix multiplication." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "76bd1b70-3a5e-4deb-ac7b-7166f30b47a9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(17367530.445161477, -7314540.830638505)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "transform * (964, 406)" + ] + }, + { + "cell_type": "markdown", + "id": "c80de458-8027-4922-88d0-174412692429", + "metadata": {}, + "source": [ + "We'll define vectors for the row and column indices of the grid cell centers, and then use the `transform` matrix to get x and y coordinates. These only need to be vectors as well because each column will have the same row indices and each row will have the same column indices. We'll use the `numpy.arange` function to do and start the range at 0.5 to offset the row and column indices for grid cell centers by 0.5. The `_` used here is a Pythonic way to have a _Throwaway value_." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "e4506116-bdc4-4c18-a221-a9b880e62fa9", + "metadata": {}, + "outputs": [], + "source": [ + "nrows, ncolumns, nclass = gds.sizes['y'], gds.sizes['x'], gds.sizes['igbp_class']\n", + "row = np.arange(0.5, nrows)\n", + "column = np.arange(0.5, ncolumns)\n", + "\n", + "x, _ = transform * (column, 0.5)\n", + "_, y = transform * (0.5, row)\n", + "igbp_class = np.arange(nclass) # Add attributes" + ] + }, + { + "cell_type": "markdown", + "id": "fe023092-9b4e-408d-9d85-38f6f230e176", + "metadata": {}, + "source": [ + "Before we assign coordinates to the `Dataset`, we will add some attributes to the _coordinate variables_. _Coordinate variables_ should have _units_, _long_name_, and _standard_name_ attributes. " + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "b11a4851-259b-475e-bb31-2f3e7cea5535", + "metadata": {}, + "outputs": [], + "source": [ + "x_da = xr.DataArray(\n", + " x, \n", + " dims=['x'], \n", + " attrs={\n", + " \"units\": \"m\",\n", + " \"long_name\": \"x coordinate of projection\",\n", + " \"standard_name\": \"projection_x_coordinate\",\n", + " }\n", + ")\n", + "\n", + "y_da = xr.DataArray(\n", + " y, \n", + " dims=['y'], \n", + " attrs={\n", + " \"units\": \"m\",\n", + " \"long_name\": \"y coordinate of projection\",\n", + " \"standard_name\": \"projection_y_coordinate\",\n", + " }\n", + ")\n", + "\n", + "igbp_da = xr.DataArray(\n", + " igbp_class,\n", + " dims=['igbp_class'],\n", + " attrs={\n", + " \"long_name\": \"index for IGBP land cover type\",\n", + " }\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "886d48a5-a2f7-4248-8b97-1de025853626", + "metadata": {}, + "source": [ + "We use `assign_coords` to create coordinate variables." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "eb20e5d5-1848-4ead-843c-be2c769454d1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
+       "Coordinates:\n",
+       "  * x                            (x) float64 8kB -1.735e+07 ... 1.735e+07\n",
+       "  * y                            (y) float64 3kB 7.297e+06 ... -7.297e+06\n",
+       "  * igbp_class                   (igbp_class) int64 24B 0 1 2\n",
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              " + ], + "text/plain": [ + " Size: 99MB\n", + "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", + "Coordinates:\n", + " * x (x) float64 8kB -1.735e+07 ... 1.735e+07\n", + " * y (y) float64 3kB 7.297e+06 ... -7.297e+06\n", + " * igbp_class (igbp_class) int64 24B 0 1 2\n", + "Data variables: (12/53)\n", + " EASE_column_index (y, x) float32 2MB ...\n", + " EASE_row_index (y, x) float32 2MB ...\n", + " albedo (y, x) float32 2MB ...\n", + " albedo_dca (y, x) float32 2MB ...\n", + " albedo_scah (y, x) float32 2MB ...\n", + " albedo_scav (y, x) float32 2MB ...\n", + " ... ...\n", + " tb_v_uncorrected (y, x) float32 2MB ...\n", + " vegetation_opacity (y, x) float32 2MB ...\n", + " vegetation_opacity_dca (y, x) float32 2MB ...\n", + " vegetation_opacity_scah (y, x) float32 2MB ...\n", + " vegetation_opacity_scav (y, x) float32 2MB ...\n", + " vegetation_water_content (y, x) float32 2MB ..." + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gds = gds.assign_coords(x=x_da, y=y_da, igbp_class=igbp_da)\n", + "gds" + ] + }, + { + "cell_type": "markdown", + "id": "e6c282c5-0c7f-49ab-a051-2ce8cdcbf1fc", + "metadata": {}, + "source": [ + "We also need to provide information about the CRS that relate the coordinates to the Earth. We use the `rioxarray` accessor methods to do this. Using these methods ensures that information is written in the correct format to the correct place in the file.\n", + "\n", + "The `rio.write_crs` accepts an EPSG code. We also assign a `grid_mapping_name`, which creates a _grid mapping variable_. While not strictly necessary because the `x` and `y` coordinates are included, we add the `transform` for completeness." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "71d6a334-5607-4d54-baf1-c4bcad0c0903", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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              <xarray.Dataset> Size: 99MB\n",
+       "Dimensions:                      (y: 406, x: 964, igbp_class: 3)\n",
+       "Coordinates:\n",
+       "  * x                            (x) float64 8kB -1.735e+07 ... 1.735e+07\n",
+       "  * y                            (y) float64 3kB 7.297e+06 ... -7.297e+06\n",
+       "  * igbp_class                   (igbp_class) int64 24B 0 1 2\n",
+       "    wgs84_easegrid2_global       int64 8B 0\n",
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+       "    EASE_row_index               (y, x) float32 2MB ...\n",
+       "    albedo                       (y, x) float32 2MB ...\n",
+       "    albedo_dca                   (y, x) float32 2MB ...\n",
+       "    albedo_scah                  (y, x) float32 2MB ...\n",
+       "    albedo_scav                  (y, x) float32 2MB ...\n",
+       "    ...                           ...\n",
+       "    tb_v_uncorrected             (y, x) float32 2MB ...\n",
+       "    vegetation_opacity           (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_dca       (y, x) float32 2MB ...\n",
+       "    vegetation_opacity_scah      (y, x) float32 2MB ...\n",
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              " + ], + "text/plain": [ + " Size: 99MB\n", + "Dimensions: (y: 406, x: 964, igbp_class: 3)\n", + "Coordinates:\n", + " * x (x) float64 8kB -1.735e+07 ... 1.735e+07\n", + " * y (y) float64 3kB 7.297e+06 ... -7.297e+06\n", + " * igbp_class (igbp_class) int64 24B 0 1 2\n", + " wgs84_easegrid2_global int64 8B 0\n", + "Data variables: (12/53)\n", + " EASE_column_index (y, x) float32 2MB ...\n", + " EASE_row_index (y, x) float32 2MB ...\n", + " albedo (y, x) float32 2MB ...\n", + " albedo_dca (y, x) float32 2MB ...\n", + " albedo_scah (y, x) float32 2MB ...\n", + " albedo_scav (y, x) float32 2MB ...\n", + " ... ...\n", + " tb_v_uncorrected (y, x) float32 2MB ...\n", + " vegetation_opacity (y, x) float32 2MB ...\n", + " vegetation_opacity_dca (y, x) float32 2MB ...\n", + " vegetation_opacity_scah (y, x) float32 2MB ...\n", + " vegetation_opacity_scav (y, x) float32 2MB ...\n", + " vegetation_water_content (y, x) float32 2MB ..." + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gds.rio.write_crs(6933, grid_mapping_name='wgs84_easegrid2_global', inplace=True)\n", + "gds.rio.set_spatial_dims(x_dim='x', y_dim='y', inplace=True)\n", + "gds.rio.write_coordinate_system(inplace=True)\n", + "gds.rio.write_transform(transform)\n", + "gds.rio.write_grid_mapping('wgs84_easegrid2_global', inplace=True)\n", + "gds" + ] + }, + { + "cell_type": "markdown", + "id": "f14ae999-ea3d-4856-a741-7277fe65e13b", + "metadata": {}, + "source": [ + "We can see the `grid_mapping_variable` has been added to the `Dataset` as a _coordinate variable_. A `grid_mapping` has also been added to each variable. In a netCDF file, this is an attribute. In `xarray`, `grid_mapping` is added to the encoding for each variable. We can access this information in the `Dataset`, using the `rio` accessors." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "84166217-42c3-4ec5-a791-caa9338fcb46", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wgs84_easegrid2_global\n", + "(-17367530.4451615, -7314540.830638505, 17367530.445161473, 7314540.8306386)\n" + ] + } + ], + "source": [ + "print(gds.latitude.rio.grid_mapping)\n", + "print(gds.rio.bounds())" + ] + }, + { + "cell_type": "markdown", + "id": "6081f3f2-1104-4306-886f-1b91cd4010bf", + "metadata": {}, + "source": [ + "## Plot the data\n", + "\n", + "We can now plot the data on a map using cartopy.\n", + "\n", + "We use `cartopy.crs.epsg` method to define a cartopy projection from the EPSG we just assigned to the dataset. " + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "321df34c-cc77-4016-bfdd-cb929ee63c68", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
              " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "EASEGrid2 = ccrs.epsg(gds.rio.crs.to_epsg())\n", + "\n", + "p = gds.soil_moisture.plot(\n", + " subplot_kws=dict(\n", + " projection=EASEGrid2, \n", + " facecolor=\"lightgrey\",\n", + " ),\n", + " cbar_kwargs=dict(\n", + " shrink=0.5,\n", + " label=gds.soil_moisture.attrs[\"units\"],\n", + " ),\n", + " figsize=(12,7),\n", + ")\n", + "\n", + "p.axes.coastlines()\n", + "p.axes.set_title(\"SMAP Soil Mosture\");" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e9067e2-68d3-4fb7-a187-457f66cc6d98", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 9a2df6775c1daf1fe6c1d283eee58947301202de Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 24 Sep 2025 16:37:06 -0600 Subject: [PATCH 24/31] rename --- ..._as_datatree.ipynb => working_with_smap_as_datatree.ipynb} | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) rename notebooks/SMAP/{smap_as_datatree.ipynb => working_with_smap_as_datatree.ipynb} (99%) diff --git a/notebooks/SMAP/smap_as_datatree.ipynb b/notebooks/SMAP/working_with_smap_as_datatree.ipynb similarity index 99% rename from notebooks/SMAP/smap_as_datatree.ipynb rename to notebooks/SMAP/working_with_smap_as_datatree.ipynb index 6a734d7..0d858d7 100644 --- a/notebooks/SMAP/smap_as_datatree.ipynb +++ b/notebooks/SMAP/working_with_smap_as_datatree.ipynb @@ -8,7 +8,7 @@ "
              \n", "\n", "\n", - "# 2.0 Read and Plot SMAP data using `xarray.DataTree`\n", + "# Read and Plot SMAP data using `xarray.DataTree`\n", "\n", "
              \n", "---" @@ -51700,7 +51700,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.12.11" } }, "nbformat": 4, From b1ffeccf0214cf0bff38e7a0d1a28a5e2d2b0a75 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 24 Sep 2025 16:37:58 -0600 Subject: [PATCH 25/31] add nbdime --- .../environment/environment-dev.yml | 30 +++++++++++++++++++ 1 file changed, 30 insertions(+) create mode 100644 notebooks/SnowEx_ASO_MODIS_Snow/environment/environment-dev.yml diff --git a/notebooks/SnowEx_ASO_MODIS_Snow/environment/environment-dev.yml b/notebooks/SnowEx_ASO_MODIS_Snow/environment/environment-dev.yml new file mode 100644 index 0000000..4674b75 --- /dev/null +++ b/notebooks/SnowEx_ASO_MODIS_Snow/environment/environment-dev.yml @@ -0,0 +1,30 @@ +name: nsidc-tutorials-dev +channels: +- conda-forge +dependencies: +- python=3.12 + +- jupyterlab<=4.3.1 +- jupyter_contrib_nbextensions + +- earthaccess + +- xarray +- rioxarray +- dask +- bottleneck +- h5py +- libgdal-hdf4 + +- geopandas + +- matplotlib +- cartopy + +# For development +- nbdime + +platforms: +- linux-64 +- osx-64 +- win-64 From 6307c47145d8591f25d6b5994011f3a6c7da08c6 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 24 Sep 2025 16:40:48 -0600 Subject: [PATCH 26/31] remove old files --- notebooks/SMAP/01_download_smap_data.ipynb | 240 - .../SMAP/01_download_smap_data_rendered.ipynb | 313 - .../SMAP/02_read_and_plot_smap_data.ipynb | 549 -- .../02_read_and_plot_smap_data_rendered.ipynb | 763 -- notebooks/SMAP/03_smap_quality_flags.ipynb | 276 - .../SMAP/EASE2_M36km.lats.964x406x1.double | 7713 ----------------- .../SMAP/EASE2_M36km.lons.964x406x1.double | Bin 3131072 -> 0 bytes 7 files changed, 9854 deletions(-) delete mode 100644 notebooks/SMAP/01_download_smap_data.ipynb delete mode 100644 notebooks/SMAP/01_download_smap_data_rendered.ipynb delete mode 100644 notebooks/SMAP/02_read_and_plot_smap_data.ipynb delete mode 100644 notebooks/SMAP/02_read_and_plot_smap_data_rendered.ipynb delete mode 100644 notebooks/SMAP/03_smap_quality_flags.ipynb delete mode 100644 notebooks/SMAP/EASE2_M36km.lats.964x406x1.double delete mode 100644 notebooks/SMAP/EASE2_M36km.lons.964x406x1.double diff --git a/notebooks/SMAP/01_download_smap_data.ipynb b/notebooks/SMAP/01_download_smap_data.ipynb deleted file mode 100644 index a2a6ad6..0000000 --- a/notebooks/SMAP/01_download_smap_data.ipynb +++ /dev/null @@ -1,240 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e86eaecf-a612-4dbb-8bdc-5b5dfddf65b9", - "metadata": {}, - "source": [ - "
              \n", - "\n", - "\n", - "# **1.0 Access SMAP data with Python**\n", - "\n", - "
              \n", - "---" - ] - }, - { - "cell_type": "markdown", - "id": "4101ae06-3984-435c-abcc-f6346d15069b", - "metadata": {}, - "source": [ - "## **1. Tutorial Introduction/Overview**\n", - "\n", - "We will use the `earthaccess` library to authenticate with our Earthdata Login credentials and to search for and bulk download SMAP data. For this tutorial we wil use SPL3SMP version 009 as an example, but the same method can be applied to any other SMAP data sets archived at NSIDC. \n" - ] - }, - { - "cell_type": "markdown", - "id": "dd6c0128-efe4-4fab-8721-55fc366e3c7e", - "metadata": {}, - "source": [ - "### **Credits**\n", - "\n", - "This tutorial is based on the notebooks originally provided to NSIDC by Adam Purdy. Jennifer Roebuck of NSIDC updated the tutorials to include the latest version of SMAP data and use `earthaccess` for authentication, searching for and downloading the data in order to incorporate it into the NSIDC-Data-Tutorials repo. Andy Barrett refactored the notebook to use `pathlib.Path` and updated the version of the data set used.\n", - "\n", - "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues)." - ] - }, - { - "cell_type": "markdown", - "id": "a57c664e-76f9-416e-ae03-75dce51b3cb7", - "metadata": {}, - "source": [ - "### **Learning Goals**\n", - "\n", - "After completing this notebook you will be able to use the `earthaccess` library to:\n", - "1. Authenticate with your Earthdata Login credentials.\n", - "2. Search for SMAP data.\n", - "3. Bulk download SMAP data." - ] - }, - { - "cell_type": "markdown", - "id": "015703a9-f02a-42f4-8ff0-3b002bf4f2f5", - "metadata": {}, - "source": [ - "### **Prerequisites**\n", - "\n", - "1. An Earthdata Login is required for data access. If you don't have one, you can register for one [here](https://urs.earthdata.nasa.gov/).\n", - "2. A .netrc file, that contains your Earthdata Login credentials, in your home directory. The current recommended practice for authentication is to create a .netrc file in your home directory following these [instructions](https://nsidc.org/data/user-resources/help-center/programmatic-data-access-guide).\n", - "3. The nsidc-tutorials environment is set up and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n" - ] - }, - { - "cell_type": "markdown", - "id": "c45f3276-1172-4bfb-8389-e9d3cbbe88f4", - "metadata": {}, - "source": [ - "### **Time requirement**\n", - "\n", - "Allow 5 to 10 minutes to complete this tutorial." - ] - }, - { - "cell_type": "markdown", - "id": "53b77eb5-d5ed-4ddd-8fb1-6c69618d7852", - "metadata": {}, - "source": [ - "## **2. Tutorial steps**" - ] - }, - { - "cell_type": "markdown", - "id": "7820a737-33f0-4470-b9a4-03c5c4f0354c", - "metadata": {}, - "source": [ - "### **Import libraries**\n", - "We need two libraries for this tutorial: `pathlib` for creating the directory to store the downloaded data; and `earthaccess` to authenticate, search for and download the data. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "059690ab-7dff-45c9-816a-6060a191f550", - "metadata": {}, - "outputs": [], - "source": [ - "from pathlib import Path # used for creating paths and listing directory contents\n", - "import earthaccess # used for authentication and searching for downloading the data" - ] - }, - { - "cell_type": "markdown", - "id": "1966ffa6-a5f2-4520-a8dc-f37678a2cf7a", - "metadata": {}, - "source": [ - "### **Authenticate**\n", - "\n", - "The first step is to authenticate using our Earthdata Login credentials. The `login` method will automatically search for these credentials as environment variables or in a `.netrc` files, and if those aren't available it will prompt us to enter our username and password. We use a `.netrc` strategy. A `.netrc` file is a text file located in our home directory that contains login information for remote machines. If we don't have a `.netrc` file, `login` can create one for us:\n", - "```\n", - "earthaccess.login(strategy='interactive',persist=True)\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d47aa955-3d91-4418-85f9-5772f400f712", - "metadata": {}, - "outputs": [], - "source": [ - "auth = earthaccess.login()" - ] - }, - { - "cell_type": "markdown", - "id": "95e2532d-219b-4b9d-b5b9-b43c95b1aa7d", - "metadata": { - "tags": [] - }, - "source": [ - "### **Search for SPL3SMP data using a temporal filter**\n", - "We will use the `search_data` method from the `earthaccess` library to search for granules in the SPL3SMP data set for March 2017.\n", - "\n", - "We use the following search parameters: \n", - "* `short_name` - this is the data set ID e.g. SPL3SMP. It can be found in the data set title on the data set landing page.\n", - "* `version` - data set version number, also included in the data set title.\n", - "* `cloud_hosted` - SMAP data are available both from NASA Earthdata Cloud on AWS and from the severs on-premises at NSIDC_DAAC. We will access the cloud-hosted version.\n", - "* `temporal` - set a temporal filter by specifying a start and end date in the format YYYY-MM-DD. In this tutorial we will look for data for the month of March 2017.\n", - "\n", - "You can find the number of results returned by getting the number of elements in `results` using the `len` function." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d66e54ff-71dc-422c-9e8a-5b154fa0dbf7", - "metadata": {}, - "outputs": [], - "source": [ - "results = earthaccess.search_data(\n", - " short_name = 'SPL3SMP',\n", - " version = '009',\n", - " cloud_hosted = False,\n", - " temporal = ('2017-03-01','2017-03-31')\n", - ")\n", - "print(f\"Found: {len(results)}\")" - ] - }, - { - "cell_type": "markdown", - "id": "c7307f44-93cd-49b0-aa11-ae85aca29722", - "metadata": {}, - "source": [ - "### **Download the data** \n", - "Now that we have found the granules that meet our search criteria, we can download them using the `download` method from `earthaccess`. First, we will create a new directory to save the files in." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "80d938ed-4fe6-4bff-b71a-cce39e7a9bd4", - "metadata": {}, - "outputs": [], - "source": [ - "DOWNLOAD_PATH = Path.cwd() / \"data\" / \"L3_SM_P\"\n", - "DOWNLOAD_PATH.mkdir(parents=True, exist_ok=True) # creates parents if they don't exist and fails silently if path exists" - ] - }, - { - "cell_type": "markdown", - "id": "0c0fc789-ac80-474a-9928-8d9d4564ceac", - "metadata": {}, - "source": [ - "Now we will download the SPL3SMP data for March 2017." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "467ece65-932a-46e1-9f4c-1b47b628266b", - "metadata": {}, - "outputs": [], - "source": [ - "smap_files = earthaccess.download(results,DOWNLOAD_PATH)" - ] - }, - { - "cell_type": "markdown", - "id": "910b2ef6-3e14-475e-b689-77bda4c1814e", - "metadata": {}, - "source": [ - "## **3. Learning outcomes recap (optional)**\n", - "\n", - "1. Authenticate with your Earthdata Login credentials.\n", - "2. Search for SMAP data.\n", - "3. Bulk download SMAP data.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3b6b4172-7ba8-451d-9051-912aea174adf", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/SMAP/01_download_smap_data_rendered.ipynb b/notebooks/SMAP/01_download_smap_data_rendered.ipynb deleted file mode 100644 index 5bb92d1..0000000 --- a/notebooks/SMAP/01_download_smap_data_rendered.ipynb +++ /dev/null @@ -1,313 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e86eaecf-a612-4dbb-8bdc-5b5dfddf65b9", - "metadata": {}, - "source": [ - "
              \n", - "\n", - "\n", - "# **1.0 Access SMAP data with Python**\n", - "\n", - "
              \n", - "---" - ] - }, - { - "cell_type": "markdown", - "id": "4101ae06-3984-435c-abcc-f6346d15069b", - "metadata": {}, - "source": [ - "## **1. Tutorial Introduction/Overview**\n", - "\n", - "We will use the `earthaccess` library to authenticate with our Earthdata Login credentials and to search for and bulk download SMAP data. For this tutorial we wil use SPL3SMP version 008 as an example, but the same method can be applied to any other SMAP data sets archived at NSIDC. \n" - ] - }, - { - "cell_type": "markdown", - "id": "dd6c0128-efe4-4fab-8721-55fc366e3c7e", - "metadata": {}, - "source": [ - "### **Credits**\n", - "\n", - "This tutorial is based on the notebooks originally provided to NSIDC by Adam Purdy. Jennifer Roebuck of NSIDC updated the tutorials to include the latest version of SMAP data and use `earthaccess` for authentication, seatching for and downloading the data in order to incorporate it into the NSIDC-Data-Tutorials repo. \n", - "\n", - "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues)." - ] - }, - { - "cell_type": "markdown", - "id": "a57c664e-76f9-416e-ae03-75dce51b3cb7", - "metadata": {}, - "source": [ - "### **Learning Goals**\n", - "\n", - "After completing this notebook you will be able to use the `earthaccess` library to:\n", - "1. Authenticate with your Earthdata Login credentials.\n", - "2. Search for SMAP data.\n", - "3. Bulk download SMAP data." - ] - }, - { - "cell_type": "markdown", - "id": "015703a9-f02a-42f4-8ff0-3b002bf4f2f5", - "metadata": {}, - "source": [ - "### **Prerequisites**\n", - "\n", - "1. An Earthdata Login is required for data access. If you don't have one, you can register for one [here](https://urs.earthdata.nasa.gov/).\n", - "2. A .netrc file, that contains your Earthdata Login credentials, in your home directory. The current recommended practice for authentication is to create a .netrc file in your home directory following these [instructions](https://nsidc.org/data/user-resources/help-center/programmatic-data-access-guide).\n", - "3. The nsidc-tutorials environment is set up and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n" - ] - }, - { - "cell_type": "markdown", - "id": "c45f3276-1172-4bfb-8389-e9d3cbbe88f4", - "metadata": {}, - "source": [ - "### **Time requirement**\n", - "\n", - "Allow 5 to 10 minutes to complete this tutorial." - ] - }, - { - "cell_type": "markdown", - "id": "53b77eb5-d5ed-4ddd-8fb1-6c69618d7852", - "metadata": {}, - "source": [ - "## **2. Tutorial steps**" - ] - }, - { - "cell_type": "markdown", - "id": "7820a737-33f0-4470-b9a4-03c5c4f0354c", - "metadata": {}, - "source": [ - "### **Import libraries**\n", - "We need just two libraries, `os` for creating the directory to store the downloaded data in and `earthaccess` to authenticate, search for and download the data. " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "059690ab-7dff-45c9-816a-6060a191f550", - "metadata": {}, - "outputs": [], - "source": [ - "#Import libraries \n", - "\n", - "import os # needed to create the directory to store the downloaded data\n", - "import earthaccess # used for authentication and searching for downloading the data" - ] - }, - { - "cell_type": "markdown", - "id": "1966ffa6-a5f2-4520-a8dc-f37678a2cf7a", - "metadata": {}, - "source": [ - "### **Authenticate**\n", - "\n", - "The first step is to authenticate using our Earthdata Login credentials. The `login` method will automatically search for these credentials as environment variables or in a `.netrc` files, and if those aren't available it will prompt us to enter our username and password. We use a `.netrc` strategy. A `.netrc` file is a text file located in our home directory that contains login information for remote machines. If we don't have a `.netrc` file, `login` can create one for us:\n", - "```\n", - "earthaccess.login(strategy='interactive',persist=True)\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "d47aa955-3d91-4418-85f9-5772f400f712", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EARTHDATA_USERNAME and EARTHDATA_PASSWORD are not set in the current environment, try setting them or use a different strategy (netrc, interactive)\n", - "You're now authenticated with NASA Earthdata Login\n", - "Using token with expiration date: 08/26/2023\n", - "Using .netrc file for EDL\n" - ] - } - ], - "source": [ - "auth = earthaccess.login()" - ] - }, - { - "cell_type": "markdown", - "id": "95e2532d-219b-4b9d-b5b9-b43c95b1aa7d", - "metadata": { - "tags": [] - }, - "source": [ - "### **Search for SPL3SMP data using spatial and temporal filters**\n", - "We will use the `search_data` method from the `earthaccess` library and the following variabes to search for granules within the SPL3SMP data set:\n", - "* `short_name` - this is the data set ID e.g. SPL3SMP. It can be found in the data set title on the data set landing page.\n", - "* `version` - data set version number, also included in the data set title.\n", - "* `cloud_hosted` - NSIDC is in the process of migrating data sets to the cloud. The data set we are interested is currently still archived on-premises so we will set this to False.\n", - "* `temporal` - set a temporal filter by specifying a start and end date in the format YYYY-MM-DD. In this tutorial we will look for data for the month of March 2017.\n", - "\n", - "It will output the number of granules that meet the search criteria." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d66e54ff-71dc-422c-9e8a-5b154fa0dbf7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Granules found: 31\n" - ] - } - ], - "source": [ - "#Search for SPL3SMP files \n", - "\n", - "results = earthaccess.search_data(\n", - " short_name = 'SPL3SMP',\n", - " version = '008',\n", - " cloud_hosted = False,\n", - " temporal = ('2017-03-01','2017-03-31')\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "c7307f44-93cd-49b0-aa11-ae85aca29722", - "metadata": {}, - "source": [ - "### **Download the data** \n", - "Now that we have found the granules that meet our search criteria, we can download them using the `download` method from `earthaccess`. First, we will create a new directory to save the files in." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "80d938ed-4fe6-4bff-b71a-cce39e7a9bd4", - "metadata": {}, - "outputs": [], - "source": [ - "this_dir = os.getcwd()\n", - "DATA_DIR = os.path.join(this_dir, 'data/L3_SM_P')\n", - "\n", - "if not os.path.exists(DATA_DIR):\n", - " os.makedirs(DATA_DIR)\n" - ] - }, - { - "cell_type": "markdown", - "id": "0c0fc789-ac80-474a-9928-8d9d4564ceac", - "metadata": {}, - "source": [ - "Now we will download the SPL3SMP data for March 2017." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "467ece65-932a-46e1-9f4c-1b47b628266b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Getting 31 granules, approx download size: 0.93 GB\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "bd55adc8cc1b42d19658cbcc885b9c79", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "SUBMITTING | : 0%| | 0/31 [00:00\n", - "\n", - "\n", - "# **2.0 Read and Plot SMAP data**\n", - "\n", - "\n", - "---" - ] - }, - { - "cell_type": "markdown", - "id": "4101ae06-3984-435c-abcc-f6346d15069b", - "metadata": {}, - "source": [ - "## **1. Overview**\n", - "\n", - "We will read in the SMAP data that was downloaded using the 1.0 Download SMAP data notebook. We will then create a map with SMAP data and plot a time-series at a location on Earth. \n" - ] - }, - { - "cell_type": "markdown", - "id": "dd6c0128-efe4-4fab-8721-55fc366e3c7e", - "metadata": {}, - "source": [ - "### **Credits**\n", - "\n", - "This tutorial is based on the notebooks originally provided to NSIDC by Adam Purdy. Jennifer Roebuck of NSIDC updated the tutorials to include the latest version of SMAP data and use earthaccess for authentication, seatching for and downloading the data in order to incorporate it into the NSIDC-Data-Tutorials repo. \n", - "\n", - "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues)." - ] - }, - { - "cell_type": "markdown", - "id": "a57c664e-76f9-416e-ae03-75dce51b3cb7", - "metadata": {}, - "source": [ - "### **Learning Goals**\n", - "\n", - "1. Read in SMAP data and navigate the metadata\n", - "2. Create a map with SMAP data\n", - "3. Plot a time-series at a location on Earth. " - ] - }, - { - "cell_type": "markdown", - "id": "015703a9-f02a-42f4-8ff0-3b002bf4f2f5", - "metadata": {}, - "source": [ - "### **Prerequisites**\n", - "\n", - "1. The nsidc-tutorials environment is set up and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n", - "2. SMAP data that were downloaded in the previous notebook tutorial 1.0 Download SMAP data. \n", - "3. The EASE-Grid 2.0 longitude and latitude data sets. The binary format of these files have been provided within this repo for use in this tutorial, but please note they are also available in NetCDF format from the NSIDC website at this [page](https://nsidc.org/data/NSIDC-0772/versions/1). \n" - ] - }, - { - "cell_type": "markdown", - "id": "c45f3276-1172-4bfb-8389-e9d3cbbe88f4", - "metadata": {}, - "source": [ - "### **Time requirement**\n", - "\n", - "Allow 15 to 20 minutes to complete this tutorial." - ] - }, - { - "cell_type": "markdown", - "id": "53b77eb5-d5ed-4ddd-8fb1-6c69618d7852", - "metadata": {}, - "source": [ - "## **2. Tutorial steps**" - ] - }, - { - "cell_type": "markdown", - "id": "7820a737-33f0-4470-b9a4-03c5c4f0354c", - "metadata": {}, - "source": [ - "### **Import libraries**\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "059690ab-7dff-45c9-816a-6060a191f550", - "metadata": {}, - "outputs": [], - "source": [ - "#Import libraries \n", - "import datetime as dt\n", - "import glob\n", - "import h5py\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "import cartopy.crs as ccrs\n", - "import numpy as np\n", - "import os\n", - "import pandas as pd\n", - "import xarray as xr" - ] - }, - { - "cell_type": "markdown", - "id": "1966ffa6-a5f2-4520-a8dc-f37678a2cf7a", - "metadata": {}, - "source": [ - "### **Read SMAP data and navigate metadata**\n", - "\n", - "First we will navigate to the directory with the data we want to use. Then we will generate a list of the files and print out the name of one of the files." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d47aa955-3d91-4418-85f9-5772f400f712", - "metadata": {}, - "outputs": [], - "source": [ - "this_dir = os.getcwd()\n", - "L3_SM_P_dir = os.path.join(this_dir, 'data/L3_SM_P/')\n", - "\n", - "flist = glob.glob(os.path.join(L3_SM_P_dir, '*.h5'))\n", - " \n", - "filename = flist[0]; \n", - "print(\"File we are using: \" + filename + '\\n')" - ] - }, - { - "cell_type": "markdown", - "id": "95e2532d-219b-4b9d-b5b9-b43c95b1aa7d", - "metadata": { - "tags": [] - }, - "source": [ - "Now we will use `h5py.File()`to open the file. Then we can look at the folders within the HDF5 file to access the data we want. The cell below will print out a list of variables within one of the folders in the HDF5 file, the Soil_Moisture_Retrieval_Data_AM folder." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d66e54ff-71dc-422c-9e8a-5b154fa0dbf7", - "metadata": {}, - "outputs": [], - "source": [ - "f = h5py.File(filename, 'r')\n", - "print('By using the command h5py.File() a filehandle is returned:')\n", - "print(f); print('\\n')\n", - "\n", - "print(\"Now lets look at the groups within the file to access:\")\n", - "i=0;\n", - "for key in f.keys():\n", - " print(str(i)+ '\\t'+key)\n", - " i+=1\n", - "group_id=list(f.keys())[1];# < Lets focus on the AM overpass for this example\n", - "print('\\n')\n", - "i=0\n", - "print(\"Now lets look at the variables within the filegroup **Soil_Moisture_Retrieval_Data_AM** to access the actual data:\")\n", - "for var in list(f[group_id].keys()):\n", - " print(str(i)+'\\t'+var)\n", - " i+=1" - ] - }, - { - "cell_type": "markdown", - "id": "c7307f44-93cd-49b0-aa11-ae85aca29722", - "metadata": {}, - "source": [ - "Now that we know the variables within the Soil_Moisture_Retrieval_Data_AM folder lets grab the data we want to plot. First we need to take a look at the extent of the data in terms of the number of rows and columns, we will need this later when opening the EASE-Grid 2.0 lat and lon files." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "80d938ed-4fe6-4bff-b71a-cce39e7a9bd4", - "metadata": {}, - "outputs": [], - "source": [ - "print('The extent of the data in rows and columns is: '+str(f[group_id][list(f[group_id].keys())[0]].shape))\n" - ] - }, - { - "cell_type": "markdown", - "id": "0c0fc789-ac80-474a-9928-8d9d4564ceac", - "metadata": {}, - "source": [ - "Based on the list above we can find the index number of the variable we want to plot. For example, soil_moisture is at index 26 in the Soil_Moisture_Retrievel_Data_AM folder. We will use this index value in the cell below to read in the data associated with the soil_moisture variable. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "467ece65-932a-46e1-9f4c-1b47b628266b", - "metadata": {}, - "outputs": [], - "source": [ - "var_id = list(f[group_id].keys())[26] # soil_moisture\n", - "sm_data = f[group_id][var_id][:,:]\n", - "sm_ds = f[group_id][var_id]\n", - "print('Data are returned as '+str(type(sm_data)) + ' something easy to work with in python.')\n" - ] - }, - { - "cell_type": "markdown", - "id": "84d934ed-c3d2-45e6-8d96-b6c9c227db32", - "metadata": {}, - "source": [ - "This cell plots the out the retrieval quality flag values. For a further explanation of these values, see the third notebook titled '3.0 SMAP Quality Flags'." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8304ecdd-58cc-44ee-b2c9-6c9ca0b5c8b9", - "metadata": {}, - "outputs": [], - "source": [ - "ret_flag_L3_P = f[group_id]['retrieval_qual_flag'][:,:]\n", - "print(np.unique(ret_flag_L3_P))\n", - "print(type(ret_flag_L3_P))" - ] - }, - { - "cell_type": "markdown", - "id": "910b2ef6-3e14-475e-b689-77bda4c1814e", - "metadata": {}, - "source": [ - "### Create a map with SMAP data\n", - "\n", - "Lets quickly plot the soil_moisture variable data to get a sense of what we are working with." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3b6b4172-7ba8-451d-9051-912aea174adf", - "metadata": {}, - "outputs": [], - "source": [ - "plt.imshow(sm_data)\n", - "cbar = plt.colorbar(orientation = 'horizontal')\n", - "cbar.set_label('$cm^3 cm^{-3}$')" - ] - }, - { - "cell_type": "markdown", - "id": "740a8856-0c47-4053-985c-8b8dd201c5d2", - "metadata": {}, - "source": [ - "We need to ignore the null values to get a better idea of the range of values in the data set. \n", - "\n", - "You can find details on what values are used to represent null in the metadata of the supplemental documents, which are available from the data set landing [page](https://nsidc.org/data/SPL3SMP).\n", - "\n", - "For the soil_moisture variable and most SMAP data sets the null value is -9999. To confirm this is the case we can look at the attributes for the 'soil_moisture' variable. The following cell will find the '_FillValue'_ attribute for the soil_moisture variable and print out its value (in this case it will be -9999)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "44106db1-01aa-4d26-99b6-c1530af3c554", - "metadata": {}, - "outputs": [], - "source": [ - "print(f[group_id][var_id].attrs['_FillValue'])" - ] - }, - { - "cell_type": "markdown", - "id": "596bbaf0-c33b-4cd4-94ca-98bb834e0195", - "metadata": {}, - "source": [ - "Now we will replace the FillValue of -9999 with NaN and plot the soil moisture variable again, and set the color bar range to 0 - 0.55. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "69eca887-c762-45e3-879f-3026a8f51d05", - "metadata": {}, - "outputs": [], - "source": [ - "sm_data[sm_data==f[group_id][var_id].attrs['_FillValue']]=np.nan;\n", - "plt.imshow(sm_data,vmin=0.,vmax=0.55, cmap = 'terrain_r');\n", - "cbar = plt.colorbar(orientation='horizontal')\n", - "cbar.set_label('$cm^3 cm^{-3}$')" - ] - }, - { - "cell_type": "markdown", - "id": "49d9fbc8-69f5-419a-bc78-1c33f57a4d01", - "metadata": {}, - "source": [ - "Lets add some coastlines to this plot, and geolocate the data using the coordinates in the EASE-Grid 2.0 latitude and longitude files. First, we will read in the EASE Grid 2.0 latitude and longitude data sets. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a3cf1f80-a58f-4818-87da-b3ba16a4c861", - "metadata": {}, - "outputs": [], - "source": [ - "# Read binary files and reshape to correct size\n", - "lats = np.fromfile('EASE2_M36km.lats.964x406x1.double', \n", - " dtype=np.float64).reshape((406,964))#< reshape to dimensions above\n", - "lons = np.fromfile('EASE2_M36km.lons.964x406x1.double', \n", - " dtype=np.float64).reshape((406,964))" - ] - }, - { - "cell_type": "markdown", - "id": "8a7f186c-2fb7-40b3-9a4b-06a510a956e7", - "metadata": {}, - "source": [ - "Now we will use `cartopy` to plot the soil_moisture variable on a basemap in the Robinson projection. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7b3f885e-8761-42ec-8688-e4e8da312427", - "metadata": {}, - "outputs": [], - "source": [ - "fig = plt.figure(figsize=(10,6))\n", - "ax = plt.axes(projection=ccrs.Robinson())\n", - "ax.coastlines()\n", - "p = plt.pcolormesh(lons, lats, sm_data, transform=ccrs.PlateCarree(), clim=(0.,0.55), cmap='terrain_r')\n", - "cbar = fig.colorbar(p, location='bottom', pad=0.05)\n", - "cbar.set_label('$cm^3 cm^{-3}$')" - ] - }, - { - "cell_type": "markdown", - "id": "a0233479-75bf-44d0-b969-1bc9c4b1d4b8", - "metadata": {}, - "source": [ - "Awesome! We have made a global plot, now lets see if we can streamline this to process more data and create a time series. " - ] - }, - { - "cell_type": "markdown", - "id": "5d27d4eb-6582-44c7-a0e8-f1847e769640", - "metadata": {}, - "source": [ - "### Plot a time-series at a location in Earth\n", - "\n", - "Lets navigate back to the L3_SM_P directory which contains all the files we downloaded and print out a list of all these files " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "95e1ffc2-70a4-4beb-b09e-06ac37d6bb37", - "metadata": {}, - "outputs": [], - "source": [ - "for fName in flist:\n", - " print(fName)" - ] - }, - { - "cell_type": "markdown", - "id": "6996b015-54c1-4aac-89c4-bedb8498022f", - "metadata": {}, - "source": [ - "Now we will make a function to load these files, and read in the soil_moisture and retrieval_qual_flag variables. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9fd5d171-79d6-4c32-82cd-49d8e097f5a3", - "metadata": {}, - "outputs": [], - "source": [ - "def read_SML3P(filepath):\n", - " ''' This function extracts lat, lon and soil moisture from SMAP L3 P HDF5 file.\n", - " \n", - " Parameters\n", - " ----------\n", - " filepath : str\n", - " File path of a SMAP L3 HDF5 file\n", - " Returns\n", - " -------\n", - " soil_moisture_am: numpy.array\n", - " ''' \n", - " with h5py.File(filepath, 'r') as f:\n", - " # Extract data info\n", - " group_id_am = 'Soil_Moisture_Retrieval_Data_AM'\n", - " var_id_am = 'soil_moisture'\n", - " flag_id_am = 'retrieval_qual_flag'\n", - " soil_moisture_am = f[group_id_am][var_id_am][:,:]\n", - " flag_am = f[group_id_am][flag_id_am][:,:]\n", - " soil_moisture_am[soil_moisture_am==-9999.0]=np.nan;\n", - " soil_moisture_am[(flag_am>>0)&1==1]=np.nan\n", - " filename = os.path.basename(filepath)\n", - " yyyymmdd= filename.split('_')[4]\n", - " yyyy = int(yyyymmdd[0:4]); mm = int(yyyymmdd[4:6]); dd = int(yyyymmdd[6:8])\n", - " date=dt.datetime(yyyy,mm,dd)\n", - " return soil_moisture_am,date" - ] - }, - { - "cell_type": "markdown", - "id": "40e84063-d082-457c-a525-42dee9a303a6", - "metadata": {}, - "source": [ - "Now we will test that this function works by loading the first file in the list and plotting the soil moisture variable. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3ae0d56d-9c21-4a3d-ac41-b08db0ec9e79", - "metadata": {}, - "outputs": [], - "source": [ - "sm_test,date = read_SML3P(flist[0])\n", - "plt.imshow(sm_test)\n", - "cbar = plt.colorbar(orientation='horizontal')\n", - "cbar.set_label('$cm^3 cm^{-3}$')\n", - "plt.title(date)" - ] - }, - { - "cell_type": "markdown", - "id": "0bb0ed7f-76ec-47aa-bcae-85256771ea9e", - "metadata": {}, - "source": [ - "That was just one file, now we will load all 31 files to create a 3D array (soil moisture values over 31 days). The cell below will output the size of this array." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6643683e-d762-4e66-8ef5-169a2e34c625", - "metadata": {}, - "outputs": [], - "source": [ - "sm_data_3d = np.empty([sm_data.shape[0],sm_data.shape[1],len(flist)])\n", - "times = []\n", - "print('sm_data_3d has dimensions '+str(sm_data_3d.shape))\n", - "i=0\n", - "for fName in flist:\n", - " sm_data_3d[:,:,i],time_i = read_SML3P(fName)\n", - " times.append(time_i)\n", - " i+=1\n" - ] - }, - { - "cell_type": "markdown", - "id": "09dfcb9b-7d9d-4412-b7e3-be66a862b055", - "metadata": {}, - "source": [ - "Next we will calculate the mean soil moisture over 31 days and plot it." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "08d51de5-b934-4cb2-af7a-d3eaae101c27", - "metadata": {}, - "outputs": [], - "source": [ - "sm_mean = np.nanmean(sm_data_3d,2)\n", - "sm_mean.shape\n", - "plt.imshow(sm_mean,vmin=0.,vmax=0.55,cmap='terrain_r')\n", - "cbar = plt.colorbar(orientation='horizontal')\n", - "cbar.set_label('$cm^3 cm^{-3}$')" - ] - }, - { - "cell_type": "markdown", - "id": "003af2be-a78d-4fe7-84a8-3be2252c635b", - "metadata": {}, - "source": [ - "Lastly, we can select a region within this map and plot the average soil moisture over time for this region." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3103952a-9b6f-4b35-a1e7-bdcb8222b316", - "metadata": {}, - "outputs": [], - "source": [ - "N_lat = 37.5; \n", - "S_lat = 33\n", - "W_lon = -113.5\n", - "E_lon = -110.0\n", - "\n", - "subset = (latsS_lat)&(lons>W_lon)&(lons\n", - "\n", - "\n", - "# **2.0 Read and Plot SMAP data**\n", - "\n", - "\n", - "---" - ] - }, - { - "cell_type": "markdown", - "id": "4101ae06-3984-435c-abcc-f6346d15069b", - "metadata": {}, - "source": [ - "## **1. Overview**\n", - "\n", - "We will read in the SMAP data that was downloaded using the 1.0 Download SMAP data notebook. We will then create a map with SMAP data and plot a time-series at a location on Earth. \n" - ] - }, - { - "cell_type": "markdown", - "id": "dd6c0128-efe4-4fab-8721-55fc366e3c7e", - "metadata": {}, - "source": [ - "### **Credits**\n", - "\n", - "This tutorial is based on the notebooks originally provided to NSIDC by Adam Purdy. Jennifer Roebuck of NSIDC updated the tutorials to include the latest version of SMAP data and use earthaccess for authentication, seatching for and downloading the data in order to incorporate it into the NSIDC-Data-Tutorials repo. \n", - "\n", - "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues)." - ] - }, - { - "cell_type": "markdown", - "id": "a57c664e-76f9-416e-ae03-75dce51b3cb7", - "metadata": {}, - "source": [ - "### **Learning Goals**\n", - "\n", - "1. Read in SMAP data and navigate the metadata\n", - "2. Create a map with SMAP data\n", - "3. Plot a time-series at a location on Earth. " - ] - }, - { - "cell_type": "markdown", - "id": "015703a9-f02a-42f4-8ff0-3b002bf4f2f5", - "metadata": {}, - "source": [ - "### **Prerequisites**\n", - "\n", - "1. The nsidc-tutorials environment is set up and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n", - "2. SMAP data that were downloaded in the previous notebook tutorial 1.0 Download SMAP data. \n", - "3. The EASE-Grid 2.0 longitude and latitude data sets. The binary format of these files have been provided within this repo for use in this tutorial, but please note they are also available in NetCDF format from the NSIDC website at this [page](https://nsidc.org/data/NSIDC-0772/versions/1). \n" - ] - }, - { - "cell_type": "markdown", - "id": "c45f3276-1172-4bfb-8389-e9d3cbbe88f4", - "metadata": {}, - "source": [ - "### **Time requirement**\n", - "\n", - "Allow 15 to 20 minutes to complete this tutorial." - ] - }, - { - "cell_type": "markdown", - "id": "53b77eb5-d5ed-4ddd-8fb1-6c69618d7852", - "metadata": {}, - "source": [ - "## **2. Tutorial steps**" - ] - }, - { - "cell_type": "markdown", - "id": "7820a737-33f0-4470-b9a4-03c5c4f0354c", - "metadata": {}, - "source": [ - "### **Import libraries**\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "059690ab-7dff-45c9-816a-6060a191f550", - "metadata": {}, - "outputs": [], - "source": [ - "#Import libraries \n", - "import datetime as dt\n", - "import glob\n", - "import h5py\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "import cartopy.crs as ccrs\n", - "import numpy as np\n", - "import os\n", - "import pandas as pd\n", - "import xarray as xr" - ] - }, - { - "cell_type": "markdown", - "id": "1966ffa6-a5f2-4520-a8dc-f37678a2cf7a", - "metadata": {}, - "source": [ - "### **Read SMAP data and navigate metadata**\n", - "\n", - "First we will navigate to the directory with the data we want to use. Then we will generate a list of the files and print out the name of one of the files." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d47aa955-3d91-4418-85f9-5772f400f712", - "metadata": {}, - "outputs": [], - "source": [ - "this_dir = os.getcwd()\n", - "L3_SM_P_dir = os.path.join(this_dir, 'data/L3_SM_P/')\n", - "\n", - "flist = glob.glob(os.path.join(L3_SM_P_dir, '*.h5'))\n", - " \n", - "filename = flist[0]; \n", - "print(\"File we are using: \" + filename + '\\n')" - ] - }, - { - "cell_type": "markdown", - "id": "95e2532d-219b-4b9d-b5b9-b43c95b1aa7d", - "metadata": { - "tags": [] - }, - "source": [ - "Now we will use `h5py.File()`to open the file. Then we can look at the folders within the HDF5 file to access the data we want. The cell below will print out a list of variables within one of the folders in the HDF5 file, the Soil_Moisture_Retrieval_Data_AM folder." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d66e54ff-71dc-422c-9e8a-5b154fa0dbf7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "By using the command h5py.File() a filehandle is returned:\n", - "\n", - "\n", - "\n", - "Now lets look at the groups within the file to access:\n", - "0\tMetadata\n", - "1\tSoil_Moisture_Retrieval_Data_AM\n", - "2\tSoil_Moisture_Retrieval_Data_PM\n", - "\n", - "\n", - "Now lets look at the variables within the filegroup **Soil_Moisture_Retrieval_Data_AM** to access the actual data:\n", - "0\tEASE_column_index\n", - "1\tEASE_row_index\n", - "2\talbedo\n", - "3\talbedo_dca\n", - "4\talbedo_scah\n", - "5\talbedo_scav\n", - "6\tboresight_incidence\n", - "7\tbulk_density\n", - "8\tclay_fraction\n", - "9\tfreeze_thaw_fraction\n", - "10\tgrid_surface_status\n", - "11\tlandcover_class\n", - "12\tlandcover_class_fraction\n", - "13\tlatitude\n", - "14\tlatitude_centroid\n", - "15\tlongitude\n", - "16\tlongitude_centroid\n", - "17\tradar_water_body_fraction\n", - "18\tretrieval_qual_flag\n", - "19\tretrieval_qual_flag_dca\n", - "20\tretrieval_qual_flag_scah\n", - "21\tretrieval_qual_flag_scav\n", - "22\troughness_coefficient\n", - "23\troughness_coefficient_dca\n", - "24\troughness_coefficient_scah\n", - "25\troughness_coefficient_scav\n", - "26\tsoil_moisture\n", - "27\tsoil_moisture_dca\n", - "28\tsoil_moisture_error\n", - "29\tsoil_moisture_scah\n", - "30\tsoil_moisture_scav\n", - "31\tstatic_water_body_fraction\n", - "32\tsurface_flag\n", - "33\tsurface_temperature\n", - "34\tsurface_water_fraction_mb_h\n", - "35\tsurface_water_fraction_mb_v\n", - "36\ttb_3_corrected\n", - "37\ttb_4_corrected\n", - "38\ttb_h_corrected\n", - "39\ttb_h_uncorrected\n", - "40\ttb_qual_flag_3\n", - "41\ttb_qual_flag_4\n", - "42\ttb_qual_flag_h\n", - "43\ttb_qual_flag_v\n", - "44\ttb_time_seconds\n", - "45\ttb_time_utc\n", - "46\ttb_v_corrected\n", - "47\ttb_v_uncorrected\n", - "48\tvegetation_opacity\n", - "49\tvegetation_opacity_dca\n", - "50\tvegetation_opacity_scah\n", - "51\tvegetation_opacity_scav\n", - "52\tvegetation_water_content\n" - ] - } - ], - "source": [ - "f = h5py.File(filename, 'r')\n", - "print('By using the command h5py.File() a filehandle is returned:')\n", - "print(f); print('\\n')\n", - "\n", - "print(\"Now lets look at the groups within the file to access:\")\n", - "i=0;\n", - "for key in f.keys():\n", - " print(str(i)+ '\\t'+key)\n", - " i+=1\n", - "group_id=list(f.keys())[1];# < Lets focus on the AM overpass for this example\n", - "print('\\n')\n", - "i=0\n", - "print(\"Now lets look at the variables within the filegroup **Soil_Moisture_Retrieval_Data_AM** to access the actual data:\")\n", - "for var in list(f[group_id].keys()):\n", - " print(str(i)+'\\t'+var)\n", - " i+=1" - ] - }, - { - "cell_type": "markdown", - "id": "c7307f44-93cd-49b0-aa11-ae85aca29722", - "metadata": {}, - "source": [ - "Now that we know the variables within the Soil_Moisture_Retrieval_Data_AM folder lets grab the data we want to plot. First we need to take a look at the extent of the data in terms of the number of rows and columns, we will need this later when opening the EASE-Grid 2.0 lat and lon files." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "80d938ed-4fe6-4bff-b71a-cce39e7a9bd4", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The extent of the data in rows and columns is: (406, 964)\n" - ] - } - ], - "source": [ - "print('The extent of the data in rows and columns is: '+str(f[group_id][list(f[group_id].keys())[0]].shape))\n" - ] - }, - { - "cell_type": "markdown", - "id": "0c0fc789-ac80-474a-9928-8d9d4564ceac", - "metadata": {}, - "source": [ - "Based on the list above we can find the index number of the variable we want to plot. For example, soil_moisture is at index 26 in the Soil_Moisture_Retrievel_Data_AM folder. We will use this index value in the cell below to read in the data associated with the soil_moisture variable. " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "467ece65-932a-46e1-9f4c-1b47b628266b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data are returned as something easy to work with in python.\n" - ] - } - ], - "source": [ - "var_id = list(f[group_id].keys())[26] # soil_moisture\n", - "sm_data = f[group_id][var_id][:,:]\n", - "sm_ds = f[group_id][var_id]\n", - "print('Data are returned as '+str(type(sm_data)) + ' something easy to work with in python.')\n" - ] - }, - { - "cell_type": "markdown", - "id": "84d934ed-c3d2-45e6-8d96-b6c9c227db32", - "metadata": {}, - "source": [ - "This cell plots the out the retrieval quality flag values. For a further explanation of these values, see the third notebook titled '3.0 SMAP Quality Flags'." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "8304ecdd-58cc-44ee-b2c9-6c9ca0b5c8b9", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 0 1 5 7 8 9 13 15]\n", - "\n" - ] - } - ], - "source": [ - "ret_flag_L3_P = f[group_id]['retrieval_qual_flag'][:,:]\n", - "print(np.unique(ret_flag_L3_P))\n", - "print(type(ret_flag_L3_P))" - ] - }, - { - "cell_type": "markdown", - "id": "910b2ef6-3e14-475e-b689-77bda4c1814e", - "metadata": {}, - "source": [ - "### Create a map with SMAP data\n", - "\n", - "Lets quickly plot the soil_moisture variable data to get a sense of what we are working with." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "3b6b4172-7ba8-451d-9051-912aea174adf", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(sm_data)\n", - "cbar = plt.colorbar(orientation = 'horizontal')\n", - "cbar.set_label('$cm^3 cm^{-3}$')" - ] - }, - { - "cell_type": "markdown", - "id": "740a8856-0c47-4053-985c-8b8dd201c5d2", - "metadata": {}, - "source": [ - "We need to ignore the null values to get a better idea of the range of values in the data set. \n", - "\n", - "You can find details on what values are used to represent null in the metadata of the supplemental documents, which are available from the data set landing [page](https://nsidc.org/data/SPL3SMP).\n", - "\n", - "For the soil_moisture variable and most SMAP data sets the null value is -9999. To confirm this is the case we can look at the attributes for the 'soil_moisture' variable. The following cell will find the '_FillValue'_ attribute for the soil_moisture variable and print out its value (in this case it will be -9999)." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "44106db1-01aa-4d26-99b6-c1530af3c554", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-9999.0\n" - ] - } - ], - "source": [ - "print(f[group_id][var_id].attrs['_FillValue'])" - ] - }, - { - "cell_type": "markdown", - "id": "596bbaf0-c33b-4cd4-94ca-98bb834e0195", - "metadata": {}, - "source": [ - "Now we will replace the FillValue of -9999 with NaN and plot the soil moisture variable again, and set the color bar range to 0 - 0.55. " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "69eca887-c762-45e3-879f-3026a8f51d05", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sm_data[sm_data==f[group_id][var_id].attrs['_FillValue']]=np.nan;\n", - "plt.imshow(sm_data,vmin=0.,vmax=0.55, cmap = 'terrain_r');\n", - "cbar = plt.colorbar(orientation='horizontal')\n", - "cbar.set_label('$cm^3 cm^{-3}$')" - ] - }, - { - "cell_type": "markdown", - "id": "49d9fbc8-69f5-419a-bc78-1c33f57a4d01", - "metadata": {}, - "source": [ - "Lets add some coastlines to this plot, and geolocate the data using the coordinates in the EASE-Grid 2.0 latitude and longitude files. First, we will read in the EASE Grid 2.0 latitude and longitude data sets. " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "a3cf1f80-a58f-4818-87da-b3ba16a4c861", - "metadata": {}, - "outputs": [], - "source": [ - "# Read binary files and reshape to correct size\n", - "lats = np.fromfile('EASE2_M36km.lats.964x406x1.double', \n", - " dtype=np.float64).reshape((406,964))#< reshape to dimensions above\n", - "lons = np.fromfile('EASE2_M36km.lons.964x406x1.double', \n", - " dtype=np.float64).reshape((406,964))" - ] - }, - { - "cell_type": "markdown", - "id": "8a7f186c-2fb7-40b3-9a4b-06a510a956e7", - "metadata": {}, - "source": [ - "Now we will use `cartopy` to plot the soil_moisture variable on a basemap in the Robinson projection. " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "7b3f885e-8761-42ec-8688-e4e8da312427", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(10,6))\n", - "ax = plt.axes(projection=ccrs.Robinson())\n", - "ax.coastlines()\n", - "p = plt.pcolormesh(lons, lats, sm_data, transform=ccrs.PlateCarree(), clim=(0.,0.55), cmap='terrain_r')\n", - "cbar = fig.colorbar(p, location='bottom', pad=0.05)\n", - "cbar.set_label('$cm^3 cm^{-3}$')" - ] - }, - { - "cell_type": "markdown", - "id": "a0233479-75bf-44d0-b969-1bc9c4b1d4b8", - "metadata": {}, - "source": [ - "Awesome! We have made a global plot, now lets see if we can streamline this to process more data and create a time series. " - ] - }, - { - "cell_type": "markdown", - "id": "5d27d4eb-6582-44c7-a0e8-f1847e769640", - "metadata": {}, - "source": [ - "### Plot a time-series at a location in Earth\n", - "\n", - "Lets navigate back to the L3_SM_P directory which contains all the files we downloaded and print out a list of all these files " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "95e1ffc2-70a4-4beb-b09e-06ac37d6bb37", - "metadata": {}, - "outputs": [], - "source": [ - "for fName in flist:\n", - " print(fName)" - ] - }, - { - "cell_type": "markdown", - "id": "6996b015-54c1-4aac-89c4-bedb8498022f", - "metadata": {}, - "source": [ - "Now we will make a function to load these files, and read in the soil_moisture and retrieval_qual_flag variables. " - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "9fd5d171-79d6-4c32-82cd-49d8e097f5a3", - "metadata": {}, - "outputs": [], - "source": [ - "def read_SML3P(filepath):\n", - " ''' This function extracts lat, lon and soil moisture from SMAP L3 P HDF5 file.\n", - " \n", - " Parameters\n", - " ----------\n", - " filepath : str\n", - " File path of a SMAP L3 HDF5 file\n", - " Returns\n", - " -------\n", - " soil_moisture_am: numpy.array\n", - " ''' \n", - " with h5py.File(filepath, 'r') as f:\n", - " # Extract data info\n", - " group_id_am = 'Soil_Moisture_Retrieval_Data_AM'\n", - " var_id_am = 'soil_moisture'\n", - " flag_id_am = 'retrieval_qual_flag'\n", - " soil_moisture_am = f[group_id_am][var_id_am][:,:]\n", - " flag_am = f[group_id_am][flag_id_am][:,:]\n", - " soil_moisture_am[soil_moisture_am==-9999.0]=np.nan;\n", - " soil_moisture_am[(flag_am>>0)&1==1]=np.nan\n", - " filename = os.path.basename(filepath)\n", - " yyyymmdd= filename.split('_')[4]\n", - " yyyy = int(yyyymmdd[0:4]); mm = int(yyyymmdd[4:6]); dd = int(yyyymmdd[6:8])\n", - " date=dt.datetime(yyyy,mm,dd)\n", - " return soil_moisture_am,date" - ] - }, - { - "cell_type": "markdown", - "id": "40e84063-d082-457c-a525-42dee9a303a6", - "metadata": {}, - "source": [ - "Now we will test that this function works by loading the first file in the list and plotting the soil moisture variable. " - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "3ae0d56d-9c21-4a3d-ac41-b08db0ec9e79", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, '2017-03-27 00:00:00')" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sm_test,date = read_SML3P(flist[0])\n", - "plt.imshow(sm_test)\n", - "cbar = plt.colorbar(orientation='horizontal')\n", - "cbar.set_label('$cm^3 cm^{-3}$')\n", - "plt.title(date)" - ] - }, - { - "cell_type": "markdown", - "id": "0bb0ed7f-76ec-47aa-bcae-85256771ea9e", - "metadata": {}, - "source": [ - "That was just one file, now we will load all 31 files to create a 3D array (soil moisture values over 31 days). The cell below will output the size of this array." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "6643683e-d762-4e66-8ef5-169a2e34c625", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "sm_data_3d has dimensions (406, 964, 31)\n" - ] - } - ], - "source": [ - "sm_data_3d = np.empty([sm_data.shape[0],sm_data.shape[1],len(flist)])\n", - "times = []\n", - "print('sm_data_3d has dimensions '+str(sm_data_3d.shape))\n", - "i=0\n", - "for fName in flist:\n", - " sm_data_3d[:,:,i],time_i = read_SML3P(fName)\n", - " times.append(time_i)\n", - " i+=1\n" - ] - }, - { - "cell_type": "markdown", - "id": "09dfcb9b-7d9d-4412-b7e3-be66a862b055", - "metadata": {}, - "source": [ - "Next we will calculate the mean soil moisture over 31 days and plot it." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "08d51de5-b934-4cb2-af7a-d3eaae101c27", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/5l/f2dh2cn97r9822g1lk7jnt7r0000gp/T/ipykernel_67424/3387626929.py:1: RuntimeWarning: Mean of empty slice\n", - " sm_mean = np.nanmean(sm_data_3d,2)\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sm_mean = np.nanmean(sm_data_3d,2)\n", - "sm_mean.shape\n", - "plt.imshow(sm_mean,vmin=0.,vmax=0.55,cmap='terrain_r')\n", - "cbar = plt.colorbar(orientation='horizontal')\n", - "cbar.set_label('$cm^3 cm^{-3}$')" - ] - }, - { - "cell_type": "markdown", - "id": "003af2be-a78d-4fe7-84a8-3be2252c635b", - "metadata": {}, - "source": [ - "Lastly, we can select a region within this map and plot the average soil moisture over time for this region." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "3103952a-9b6f-4b35-a1e7-bdcb8222b316", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/5l/f2dh2cn97r9822g1lk7jnt7r0000gp/T/ipykernel_67424/3643618336.py:10: RuntimeWarning: Mean of empty slice\n", - " sm_time[i] = np.nanmean(sm_2d[subset]);\n" - ] - }, - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Soil Moisture')" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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OiouL05/+9CdJUlxcnPLz87Vx40b7NrfccosaNGigVatWVWif+fn5CgkJUV5enoKDgytREQAAcJWKfn671QjRuXPnlJaWptjYWIf22NhY7dy5s0L7KC4uVkFBgRo2bGhvS0lJKbPPm2+++Yr7LCwsVH5+vsMXAADwTm4ViHJzc3XhwgWFhoY6tIeGhionJ6dC+3jhhRd0+vRpjR492t6Wk5NT6X0mJCQoJCTE/hUWFlaJSgAAgCdxq0BUymazOXxvjCnTVp5Vq1bpmWeeUVJSkpo2berUPmfOnKm8vDz7V1ZWViUqAAAAnsTP1R24VOPGjeXr61tm5Obo0aNlRnh+LikpSRMmTNC7776rm266yeG5Zs2aVXqfAQEBCggIqGQFAADAE7nVCJG/v7+ioqK0ZcsWh/YtW7YoJibmsq9btWqVxo8fr5UrV2rYsGFlno+Oji6zz82bN19xnwAAwDrcaoRIkqZPn66xY8eqR48eio6O1rJly5SZmalJkyZJKpnK+v7777VixQpJJWHo3nvv1UsvvaQ+ffrYR4Jq166tkJAQSdK0adPUv39/zZs3TyNGjNDatWv14YcfaseOHa4pEgAAuBW3GiGSSi6RX7BggebMmaNu3bpp27ZtSk5OVnh4uCQpOzvbYU2iV199VUVFRZoyZYqaN29u/5o2bZp9m5iYGK1evVp///vf1aVLFy1fvlxJSUnq3bt3jdcHAADcj9utQ+SuWIcIAADP45HrEAEAALgCgQgAAFgegQgAAFgegQgAAFgegQgAAFgegQgAAFgegQgAAFgegQgAAFgegQgAAFgegQgAAFgegQgAAFgegQgAAFgegcjFdu+Wbryx5BEAALgGgcjFVqyQPv5YevNNV/cEAADr8nN1B6zo8GEpN1ey2aSkpJK21aulceMkY6TGjaXwcNf2EQAAKyEQuUDr1hf/bLOVPB47JkVFXWw3pka7BACApTFl5gJvvSX5/S+Klgaf0kc/v5LnAQBAzWGEyAXGjJHat3ccESqVmipFRtZ8nwAAsDJGiFzMx8fxEQDgWlz9a018DLtI06ZSs2Ylo0SvvFLy2KxZSTsAwHW4+teabMZw+m5F5OfnKyQkRHl5eQoODq6SfRYWSv7+JSdWGyOdOycFBFTJrgEAlXDp1b9DhkhHj5b8grpxI1f/erqKfn5zDpELXRp+bDbCEAC4Clf/gikzAIDlcfUvGCECAFgeV/+CESIAAC7B1b/WxD83AADi6l+rY8oMAABJLVtKhw5dvPp34kSu/rUSAhEAAP/D1b/WxZQZAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRAACwPAIRrtru3dKNN5Y8AgDgydwyEC1ZskQREREKDAxUVFSUtm/fftlts7Ozdffdd6tt27by8fFRfHx8mW2WL18um81W5uvs2bPVWIX3W7FC+vhj6c03Xd0TAACc43aBKCkpSfHx8Zo1a5bS09PVr18/DRkyRJmZmeVuX1hYqCZNmmjWrFnq2rXrZfcbHBys7Oxsh6/AwMDqKsNrHT4spaVJn30mJSWVtK1eXfJ9WlrJ8wAAeBqbMca4uhOX6t27tyIjI7V06VJ7W/v27TVy5EglJCRc8bUDBw5Ut27dtGDBAof25cuXKz4+XidPnrzqfuXn5yskJER5eXkKDg6+6v14OpvN8c/GXHws5V4/UQAAK6vo57dbjRCdO3dOaWlpio2NdWiPjY3Vzp07ndr3qVOnFB4erpYtW2r48OFKT0+/4vaFhYXKz893+IL01luSn1/Jn0uDT+mjn1/J8wAAeBq3CkS5ubm6cOGCQkNDHdpDQ0OVk5Nz1ftt166dli9frnXr1mnVqlUKDAxU37599fXXX1/2NQkJCQoJCbF/hYWFXfX7e5MxY6TU1PKfS00teR4AAE/jVoGolO3SeRlJxpgybZXRp08f3XPPPeratav69eund955R9dff70WLVp02dfMnDlTeXl59q+srKyrfn9v5ePj+AgAgKfyq+wLfvzxRxlj1LBhQx07dkzbtm1T27Zt1alTJ6c707hxY/n6+pYZDTp69GiZUSNn+Pj4qGfPnlccIQoICFBAQECVvac3adpUatZMCguTJkyQEhOlrKySdgAAPFGlfrd/7bXX1KNHD0VFRWnp0qW6/fbb9a9//Ut33XWXli1b5nRn/P39FRUVpS1btji0b9myRTExMU7vv5QxRhkZGWrevHmV7dNKWraUDh0qmSJ78MGSx0OHStoBAPBElRohWrRokfbt26effvpJrVq10sGDB9WkSRPl5+erf//+mjhxotMdmj59usaOHasePXooOjpay5YtU2ZmpiZNmiSpZCrr+++/14oVK+yvycjIkFRy4vSxY8eUkZEhf39/dejQQZI0e/Zs9enTR23atFF+fr4WLlyojIwMLV682On+WtWlg2c2m+P3AAB4mkoFIl9fXwUGBiowMFDXXXedmjRpIqlkjR9nzvG5VFxcnI4fP645c+YoOztbnTp1UnJyssLDwyWVLMT48zWJunfvbv9zWlqaVq5cqfDwcB06dEiSdPLkSU2cOFE5OTkKCQlR9+7dtW3bNvXq1atK+gwAADxbpdYh6tWrl7Zt26bAwEDl5eUpJCREklRQUKD+/fv/4qXsnox1iAAA8DzVsg7RRx99ZD/RuDQMSdKZM2eUmJh4lV0FAABwrUpNmdWrV8/h+5ycHDVr1kxNmzZVUy4xAgAAHsqpFWR+vqI0AACAJ3IqELnZbdAAAACuilOBqKquLAMAAHAlbroAAAAsj0AEAAAsz6lA5O/vX1X9AAAAcBmnAtHu3burqh8AAAAuw5QZAACwvEotzFiekydPKjExUTk5OYqIiFC3bt3UtWtX1a1btyr6BwAAUO2cDkR33HGHPv/8c/Xs2VMbN27UgQMHVFxcrGuuuUbdunXTO++8UxX9BAAAqDZOB6LU1FRt3bpVPXr0kCQVFhZq37592rNnj/bs2eN0BwEAAKqb04GoU6dO8vG5eCpSQECAIiMjFRkZ6eyuAQAAaoTTJ1XPmzdPTz31lM6ePVsV/QEAAKhxTgeiiIgIFRQUqH379nriiSe0du1aZWZmVkXfUAN275ZuvLHkEQDgPI6rnsnpQDRq1ChlZWVp0KBB+vTTTzVhwgRFRESoUaNGuvHGG6uij6hGK1ZIH38svfmmq3sCAN6B46pncvocoi+//FL//ve/1aVLF3tbZmam0tPTlZGR4ezuUQ0OH5ZycyWbTUpKKmlbvVoaN04yRmrcWAoPd20fAcCTcFz1fE4Hop49e+rUqVMOba1atVKrVq00YsQIZ3ePatC69cU/22wlj8eOSVFRF9uNqdEuVdru3dKMGdL8+dL/LnAEAJfxhuOq1Tk9ZRYfH69nnnlGP/74Y1X0BzXgrbckv/9F4dL/oKWPfn4lz7s7hqQBuBNvOK5anc0Y5zJr6SX3DRs21G233aY+ffqoe/fu6tKliwICAqqkk+4gPz9fISEhysvLU3BwsKu747TPPnP8zaVUWprkrismXDokPWSIdPSo1LSptHEjQ9IAXM8Tj6tWUNHPb6enzA4ePKiMjAzt2bNHGRkZmjdvng4dOiRfX1+1a9dOe/fudfYtUI18fKTi4ouP7owhaQCewJOOq7jI6UAUHh6u8PBwh/OFCgoKlJGRQRhyY02bSs2aSWFh0oQJUmKilJVV0u6u3npLGj9eKioqf0h6+XJX9QwAPPO4ioucnjLbsWOHgoKC1LVr16rqk1vytikzSSoslPz9S0ZbjJHOnZPcfZaTIWkA7swTj6verqKf306fVP3www8rLS2tTPuBAweUl5fn7O5RjQICLk492Wye9Z+29G4xPk7/BANA1fHk46rVOf1x8tVXX2nAgAFl2j/++GP99re/dXb3gIPSIemoKOmVV0oemzVjSBoA4BynA1FwcLBOnDhRpr1fv3769NNPnd094KBlS+nQISk1VXrwwZLHQ4dK2gEAuFpOB6LbbrtNzz//fNkd+/jo3Llzzu4eKIMhaQBAVXM6ED377LPavn27brrpJvtVZWfPntW8efMcbucBAADgrpy+7L5x48ZKSUnR5MmT1a1bNwUEBKioqEghISFav359VfQRAACgWjkdiKSStYiSk5OVlZWl9PR01apVS71791bDhg2rYveAV+E+bADgfqr0ouWwsDDddtttGjJkCGEIuAxPvQ/b7t3SjTeWPAKAt6l0IPrxxx/tV5UdO3ZMa9as0RdffFHlHQO8yeHDJYtHfvaZlJRU0rZ6dcn3aWklz7s7Tw1yAFARlVqp+rXXXlNCQoKKi4s1Y8YMvf322+rSpYu2bdumqVOnauLEidXZV5fyxpWqUXNKr4or/bMxFx9LueN92LihLgBPVy03d120aJH27dunn376Sa1atdLBgwfVpEkT5efnq3///l4diABneOp92LihLgCrqNSUma+vrwIDA9WwYUNdd911atKkiaSSxRltl/4KDMDBmDEli0iWJzW15Hl39NZbJYFNKj/IvfWWa/oFAFWtUoHIz89PZ8+elSRt3brV3l5QUFC1vQK8mCfdh81TgxwAVFalDskfffSRAv63LHBISIi9/cyZM0pMTKzangFextPvw+ZJQQ4AKqtS5xDVq1ev3PamTZuqqacc1QEXKb0Pm79/yfk4EydK5865/61HSoNcWJg0YYKUmChlZXlOkAOAinB6YcaTJ08qMTFROTk5ioiIULdu3dS1a1fVrVu3KvoHeJVLw4+n3IfNU4McgMqx+qKxTgeiO+64Q59//rl69uypjRs36sCBAyouLtY111yjbt266Z133qmKfgJwIU8McgAq59K1xghEVyE1NVVbt25Vj//97RUWFmrfvn3as2eP9uzZ43QHAQBA9bh0rbFLF40dN856a405HYg6deokn0vOsgwICFBkZKQiIyOd3TWAKmb1IXEAjlhr7CKnrxeZN2+ennrqKfvl+ADcF7ffAHAp1hq7yOkRooiICBUUFKh9+/b67W9/q969e6t79+5q1apVVfQPgJMYEgdwOWPGSO3bO44IlUpNlaw02eP0CNGoUaOUlZWlQYMG6dNPP9WECRMUERGhRo0a6cYbb6yKPgJuxdPu+t66dcn0WFRUyVC4dHFIvEcPxyFzAJ7NmeOT1dcac3qE6Msvv9S///1vdenSxd6WmZmp9PR0ZWRkOLt7wO142pUYnnofNQCVdzXHJ9YaK1Gpu92XZ8CAAUpISFBMTExV9cktcbd7a/P0u75/9ln5Q+JpadYaEge8UVUcnwoLL641Zox3rTVWLXe7L098fLyeeeYZJSUlqUGDBs7uDnBL3nIlho+PVFx88dGTcIUcUL6qOD6x1lgVnUP04Ycfqk2bNrrvvvu0bNky7dq1S4WFhVXRP8AtePqVGJ5+HzWJK+SAy/H045O7cHrK7PDhw8rIyNCePXvsj4cOHZKvr6/atWunvXv3VlVfXYopM3j6tJMnDol7+lQlUFM8/fhUnWpsyiwrK0utW7fWiBEj7G0FBQXKyMjwmjAEXMpTp508cUjcW6YqgZriqccnd+D0lNnDDz+stLQ0h7agoCCFhobqnnvucXb3gNvwhmknT8NUAFAxHJ+c5/SUWZ06dfT555/r2muvdWh/9dVXtXbtWiUnJzvVQXfBlBkkz5x28nRMBQAVw/GpfBX9/HZ6hCg4OFgnTpwo096vXz99+umnzu4ecCsBARenbjxl2slbWH3ROOCXcHxyjtOHlttuu03PP/982R37+OjcuXNXtc8lS5YoIiJCgYGBioqK0vbt2y+7bXZ2tu6++261bdtWPj4+io+PL3e7NWvWqEOHDgoICFCHDh30/vvvX1XfANQspgIA1ASnA9Gzzz6r7du366abbrKfRH327FnNmzfPYfXqikpKSlJ8fLxmzZql9PR09evXT0OGDFFmZma52xcWFqpJkyaaNWuWunbtWu42KSkpiouL09ixY7Vnzx6NHTtWo0ePVmpqaqX7B6BmtWwpHTpUcl+lBx8seTx0qKQdAKqK0+cQSSWX3k+ePFkffPCBAgICVFRUpJCQEK1fv17R0dGV2lfv3r0VGRmppUuX2tvat2+vkSNHKiEh4YqvHThwoLp166YFCxY4tMfFxSk/P18bN260t91yyy1q0KCBVq1aVe6+CgsLHdZSys/PV1hYGOcQAQDgQWrsHCJJCg8PV3Jysg4fPqykpCStW7dOBw4cqHQYOnfunNLS0hQbG+vQHhsbq507d151/1JSUsrs8+abb77iPhMSEhQSEmL/CgsLu+r3BwAAl+cON812eh2iS4WFhTkVHHJzc3XhwgWFhoY6tIeGhionJ+eq95uTk1Ppfc6cOVPTp0+3f186QgQAAKqWO9w0u0oDUVWxlZ4m/z/GmDJt1b3PgIAABXCKPgAA1eLSleiTkkraVq+Wxo1zzUr0bnUBa+PGjeXr61tm5Obo0aNlRngqo1mzZlW+TwDW4cxwvjtMBQDuqHXrktGgqKiSFeiliyvR9+jhuFJ9TXCrQOTv76+oqCht2bLFoX3Lli2KiYm56v1GR0eX2efmzZud2icA63DmxrLclBYon7utRO92U2bTp0/X2LFj1aNHD0VHR2vZsmXKzMzUpEmTJJWc2/P9999rxYoV9tdkZGRIkk6dOqVjx44pIyND/v7+6tChgyRp2rRp6t+/v+bNm6cRI0Zo7dq1+vDDD7Vjx44arw+AZ3BmON/dpgIAdzRmjNS+ffkr0aem1vxK9G4XiOLi4nT8+HHNmTNH2dnZ6tSpk5KTkxX+v6NHdnZ2mTWJunfvbv9zWlqaVq5cqfDwcB06dEiSFBMTo9WrV+vJJ5/UU089pWuvvVZJSUnq3bt3jdUFwLM4c2NZbkoLVI473JS2StYhsgLuZQZYy9tvS+PHS0VFZZ/z85OWLy/5DbeqXwtYyXffST17SmFh0oQJUmKilJUl7dpVdYuvVvTzm0BUQQQiwHqcubEsN6UFKqa6b0pbowszAoA3c+bGsq68KS1XuMETuMtNaQlEAHAZztxY1h1uSssVbkDFMWVWQUyZAdbkzHB+dU8FlOfSK9yGDJGOHi0JYRs3coUbrIkpMwCoAs4M57tiKqAqF7tz5ZQb032oaQQiAPAiVbnYnSun3JjuQ01jyqyCmDID4CmcucLNlVNuTPehOlT089vtFmYEAFSNq1nszpWLSrKgJVyJKTMA8DLOXOHmyvtLudu9rWAtTJlVEFNmADyJM1e4uXJRSRa0RFXjKjMAsLCquMLNlYtKuvK9YU38qAEAHLhyUUl3WNAS1sSUWQUxZQbASlyxqKQ7vDe8D1eZAQCu2qUBpKbvL+XK94Z1MWUGAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0AEAAAszy0D0ZIlSxQREaHAwEBFRUVp+/btV9x+69atioqKUmBgoK655hq98sorDs8vX75cNputzNfZs2erswwAAOAh3C4QJSUlKT4+XrNmzVJ6err69eunIUOGKDMzs9ztDx48qKFDh6pfv35KT0/XE088oalTp2rNmjUO2wUHBys7O9vhKzAwsCZKAgAAbs5mjDGu7sSlevfurcjISC1dutTe1r59e40cOVIJCQlltn/88ce1bt067d+/3942adIk7dmzRykpKZJKRoji4+N18uTJCvejsLBQhYWF9u/z8/MVFhamvLw8BQcHX0VlAACgpuXn5yskJOQXP7/daoTo3LlzSktLU2xsrEN7bGysdu7cWe5rUlJSymx/8803a/fu3Tp//ry97dSpUwoPD1fLli01fPhwpaenX7EvCQkJCgkJsX+FhYVdZVUAAMDduVUgys3N1YULFxQaGurQHhoaqpycnHJfk5OTU+72RUVFys3NlSS1a9dOy5cv17p167Rq1SoFBgaqb9+++vrrry/bl5kzZyovL8/+lZWV5WR1AADAXfm5ugPlsdlsDt8bY8q0/dL2l7b36dNHffr0sT/ft29fRUZGatGiRVq4cGG5+wwICFBAQMBV9R8AAHgWtxohaty4sXx9fcuMBh09erTMKFCpZs2albu9n5+fGjVqVO5rfHx81LNnzyuOEAEAAOtwq0Dk7++vqKgobdmyxaF9y5YtiomJKfc10dHRZbbfvHmzevTooVq1apX7GmOMMjIy1Lx586rpOAAA8GhuFYgkafr06Xrttdf0+uuva//+/XrkkUeUmZmpSZMmSSo5t+fee++1bz9p0iQdPnxY06dP1/79+/X6668rMTFRjz32mH2b2bNna9OmTfr222+VkZGhCRMmKCMjw75PAABgbW53DlFcXJyOHz+uOXPmKDs7W506dVJycrLCw8MlSdnZ2Q5rEkVERCg5OVmPPPKIFi9erBYtWmjhwoUaNWqUfZuTJ09q4sSJysnJUUhIiLp3765t27apV69eNV4fAABwP263DpG7qug6BgAAwH145DpEAAAArkAgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlueWgWjJkiWKiIhQYGCgoqKitH379ituv3XrVkVFRSkwMFDXXHONXnnllTLbrFmzRh06dFBAQIA6dOig999/v7q6DwAAPIzbBaKkpCTFx8dr1qxZSk9PV79+/TRkyBBlZmaWu/3Bgwc1dOhQ9evXT+np6XriiSc0depUrVmzxr5NSkqK4uLiNHbsWO3Zs0djx47V6NGjlZqaWlNlAQAAN2YzxhhXd+JSvXv3VmRkpJYuXWpva9++vUaOHKmEhIQy2z/++ONat26d9u/fb2+bNGmS9uzZo5SUFElSXFyc8vPztXHjRvs2t9xyixo0aKBVq1ZVqF/5+fkKCQlRXl6egoODr7Y8AABQgyr6+e1Xg336RefOnVNaWpr++Mc/OrTHxsZq586d5b4mJSVFsbGxDm0333yzEhMTdf78edWqVUspKSl65JFHymyzYMGCy/alsLBQhYWF9u/z8vIklfzFAgAAz1D6uf1L4z9uFYhyc3N14cIFhYaGOrSHhoYqJyen3Nfk5OSUu31RUZFyc3PVvHnzy25zuX1KUkJCgmbPnl2mPSwsrKLlAAAAN1FQUKCQkJDLPu9WgaiUzWZz+N4YU6btl7b/eXtl9zlz5kxNnz7d/n1xcbFOnDihRo0aXfF1lZWfn6+wsDBlZWVZbirOqrVTN3VbgVXrlqxbu7vWbYxRQUGBWrRoccXt3CoQNW7cWL6+vmVGbo4ePVpmhKdUs2bNyt3ez89PjRo1uuI2l9unJAUEBCggIMChrX79+hUtpdKCg4Pd6geoJlm1duq2Fuq2HqvW7o51X2lkqJRbXWXm7++vqKgobdmyxaF9y5YtiomJKfc10dHRZbbfvHmzevTooVq1al1xm8vtEwAAWItbjRBJ0vTp0zV27Fj16NFD0dHRWrZsmTIzMzVp0iRJJVNZ33//vVasWCGp5Iqyl19+WdOnT9cDDzyglJQUJSYmOlw9Nm3aNPXv31/z5s3TiBEjtHbtWn344YfasWOHS2oEAADuxe0CUVxcnI4fP645c+YoOztbnTp1UnJyssLDwyVJ2dnZDmsSRUREKDk5WY888ogWL16sFi1aaOHChRo1apR9m5iYGK1evVpPPvmknnrqKV177bVKSkpS7969a7y+nwsICNDTTz9dZnrOCqxaO3VTtxVYtW7JurV7et1utw4RAABATXOrc4gAAABcgUAEAAAsj0AEAAAsj0AEAAAsj0AEAAAsj0CEavHZZ5+poKDA1d0Aqt2uXbu0YMECbvxsERzbvBeBqJr88MMP2rBhwy/eXdfbHDlyRLGxsRo0aJAyMjJc3Z0ak52drd///vd69tln7YuGWkV2dramTp2qxx9/XAsXLnR1d2rMkSNHNHToUPXu3VsLFy5UcHCwJf6/c2zj2OatCETV4OWXX1aLFi106623at++fa7uTo2ZMWOGwsPDVadOHe3fv1/9+vVzdZdqxOuvv66OHTvq8OHD+vbbbzVp0iRNmTJF//3vf13dtWr3zDPPqE2bNjp8+LCOHj2q+Ph4zZ07V5K8+gPzscceU1hYmOrVq6dly5apsLBQX331VZXe+NkdcWzj2ObVxzaDKlNcXGw2bNhgfv3rX5vnn3/eREZGmjvvvNNcuHDB1V2rVufOnTO///3vjc1mM6tXr7a3//DDDy7sVc04deqUGTBggHn55ZftbRs3bjRBQUFm8uTJpri42IW9qz7nz583zz33nBkwYIDZuHGjvf2pp54y11xzjQt7Vr3y8/NNYGCg6dy5s9mxY4cxxpgPP/zQtGrVynzyyScu7l314djGsc0Y7z+2ud2tOzyZzWZTaGioxo4dq1GjRqlnz54aOHCgNm3apCFDhri6e9WmVq1a6tevnz7//HPl5ubqP//5j2bOnKnc3Fz5+PhozJgxGj9+vPz9/V3d1Sq3bds27du3T0uWLFFxcbEk6eabb1b9+vX13nvvqXfv3ho3bpyLe1n1/Pz8FB0drV69emnAgAH29vPnz2vSpEk6c+aMateu7cIeVr3i4mIFBQXpk08+cbjtT+/evXX06FHl5ubat/Px8a7Bdyse24wxHNusdmxzdSLzZHl5eSYlJcV89913l91m9OjRpnv37iY/P78Ge1a9yqv7/PnzZsqUKaZZs2amUaNGZtq0aeall14yEydONAEBAeaFF14wP/30kwt77bzy6j58+LDx9fU1H330kb3t008/Nf379zdDhgwxv/nNb7zi376wsND+71feqEBeXp4ZMWKEsdlsJjIy0rRp08a8++675vTp0zXd1Sp1pbqLi4tNcXGxycvLMzfccIN5+OGHXdHFanHq1Clz4MABk5eXd9ltvPHYVl7dVji2lVe3VY5tlyIQXaVnn33WBAcHm06dOpng4GCzYMEC+wdlUVGR/eD5zTffmNq1a5uFCxe6srtVpry6Dx8+bIwxZtu2bWbcuHFm3bp1Dq+ZOnWq6dq1q/n8889d0eUq8fO6X3zxRfu/93333WdCQkLMjBkzTHx8vPHx8TEvvPCCmT17tunQoYP5/vvvXdx75zz33HPm+uuvNx988EG5z587d84kJiaaoUOHmh07dpi9e/eahx56yHTo0MFs2LChhntbdX6p7kv179/fTJ482RhjPH4qYc6cOSYiIsJ069bNREREmOTkZIfnvfXYVl7dRUVFxhhjdu7c6bXHtp/Xfen/2QceeMCrj20/RyC6CsnJyaZ9+/bm/fffN99++63585//bDp27Gjuu+8++zaXHhSffPJJExoaarKysowxxpw+fdqcOnWqxvvtrMvV/bvf/c6+TUZGhjl79qwx5uKBMycnx9hsNpOamuqSfjurvLo7dOhgJkyYYN/mscceM8OGDTMDBgywf4AePnzY1K5d22RmZrqq6045fvy4mTRpkunSpYsJDg42d9xxhzl27Fi525Y3EtSgQQOzcuXK6u5mlatM3aUfmI899pjp0KFDTXazyh06dMjcdtttpmPHjmbDhg3mX//6lxk3bpxp3ry5ycnJKfc13nBsu1Ld2dnZ9u327t3rVce2K9V96TlSM2bM8Lpj2+UQiK7C1KlTTffu3R3aFi1aZNq2bWuWLVtmjLl4oDSmZDgyPDzcTJ061axYscLccMMN5p133qnRPleFK9X9yiuvGGMcpxVKQ+GqVatM06ZNzZ49e2qus1XoSnUvWbLEGFPy7/3zUPB///d/plOnTubEiRMeefLpt99+a2bMmGE2bNhgtm/fbmw2m1m1alW5tfx8VGTXrl2mVatWDidce4rK1F1qyZIlpmPHjubAgQM12NOqtXr1atO/f3+zf/9+h/bg4OAyIyOlvOHYdjV1e8OxrTJ1e9ux7XIIRJV04cIFM3nyZHPXXXfZf1swxpgjR46YBx980HTt2tUUFBTYty319NNPG5vNZvz9/c3MmTNrvN/Oqkjdl/5mWHrA2L9/v4mNjTUPPPBAjfe5KlTm39uYkrrPnz9v9u3bZ/r372/mzp3rim5XiaKiIvt0qDEl54x06dLFHDx4sNztS//Nv/rqKzN8+HAzatQoh78bT1GZuktr3rBhgwkKCrri+YTuqrSGEydOmHfffdfhuZycHNO2bVuzefPmy77eU49tV1u3px/bnKnbW45tl0MgqoTSH6SEhAQTFhZW5gC5bt0606NHD/sokTElv0FNmTLF2Gw2M2HCBPPjjz/WYI+rRkXr/tvf/maMKal59uzZZvz48aZOnTpmzJgxHnnyXWXrPn/+vFm/fr39ZMu7777b46YPylP693D8+HFTq1Ytk5CQ4BAOjSn5DTIhIcHcf//9pl69eua3v/3tFU/I9QQVqbvUgQMHjJ+fn/1SfE/z8xG+0l/mvvzyS9OoUaNyR7686dhW6pfqPn36tFcd20r9Ut1FRUVeeWz7Oe+6NrSalV56GB8fr7y8PL399tsOzw8cOFA+Pj46fvy4vS03N1dBQUHavn27XnvtNdWvX78mu1wlKlp36WXHdevWVePGjXXq1Clt3bpVb731loKCgmq8386qbN1+fn5q3ry5fvWrX2nHjh16++23Vbdu3Rrvd1UwlyyqaLPZVFRUpIYNG2rWrFn661//qv3799ufLy4uVp06ddSwYUOdPXtWn3zyiVauXKng4GBXdN0plan70m0bNmyo//73v+rbt2+N9re6bdu2TREREWrTpk2ZhTaPHTvm8ce2y7lc3aU/555+bLucy9Xt6+urZs2aecWx7YpcmcbcTVZWlnn77bfNzp077b/tlCbp8+fPO2z7/PPPm6CgILNr1y6H9m7dupmHHnqoRvpbVaqq7tKrbIwp/9Jsd2PVf29jKl576blwl54T96tf/cpMnDjRnDhxwmzatMm88cYbDq93Z1VV9+bNm82KFStqruNOqmzdpc+NGTPGTJ8+3f783r17zd69e2uo186ryrpLzxPypmNbZeq2AgKRKflhmDp1qgkKCjIDBgwwdevWNb/73e/MkSNHymw3Y8YM8+abbxpjjImKijK//vWv7ZcppqWlma5du15xvt2dULe16jam8rW/9dZb9g+A0oPne++9Z3x9fU3nzp2NzWYzixcvrvE6Kou6K1d3cXGxOXnypGnXrp3ZtGmTOXLkiPnNb35jbDab+ec//+miaiqOuq1Vd1WxfCA6ePCgGThwoOnbt69JSUkxZ8+eNcuWLTOdOnUyH374oX275cuXm4YNG5pu3bqZzz77zBhTMt96++23G39/fxMbG2vq1Klj7rrrLo9YjI66rVW3MVdX+89HA7777jszY8YMY7PZzF133WW/3NqdUffV1b1r1y7TrFkzM2nSJFO7dm0TGxvrcLK5u6Jua9VdlSwZiC4d2v/666/NggULzH/+8x9729GjR03Xrl3tPwxnzpwxs2fPNkuXLi0zxJiXl2c2b95sXn75Zbc/oZK6rVW3MVVTe6nCwkITHx9vGjZsaD7++OMa6f/Vom7n6160aJGx2WymV69ebj8KSt3Wqru62Izx4ltSl+PMmTPy8fFRQECAJOns2bM6e/as/YTAH374Qffcc4+OHDmiPn36aMSIEbrttttc2OOqQd3Wqluqntp/+OEHhYaGVnfXnULdztVtjJHNZlNBQYHWrFmj8ePH12AVlUfd1qq7OlnqKrOZM2fqhhtu0PDhw7Vw4ULl5+crMDDQ/gP09ddfq3Xr1qpVq5ZmzJihkydP6g9/+IOeffZZSRevOvI01G2tuqXqq93dQwF1O1+3zWaTMUZBQUFu/+FI3daqu9q5bnCq5hQWFpo777zTdOjQwaxevdrce++9pkOHDmbYsGFlts3IyLD/uaioyDz66KMmJibGI2/eR93WqtsY69ZO3dRN3Y68qe6aYolA9OWXX5o2bdo4zIvu2LHD1K5d28yfP/+KlwuPGDHCDB061Jw7d84jLiu+FHVbq25jrFs7dVM3dXtv3TXFEoEoLS3N2Gw2c/z4cWOM4wrEDRo0uOz9h1JSUkz//v098gaVxlC31eo2xrq1Uzd1G0Pd3lp3TbHEOUQ+Pj7q0KGDVq5c6dD+6KOPqn79+nr11Vcllcyrfvnll9q6dasmT56s2NhYRUZG6s4773RFt51G3daqW7Ju7dRN3RJ1e2vdNcbViayqXOkmkidOnDAjR440cXFx9gWqSlfrfOGFF0yLFi3si7CtWrXKDBs2zMTGxnrECp3UXZY3122MdWun7rKom7q9pW534PGB6KuvvjIDBgwwjz32mDHGcan9S5coT0xMNF27djULFixweP1rr71mOnbsaL799ltjjDE//fTTZe/m7U6o21p1G2Pd2qmbuktRt/fV7U48NhAVFhaae++91/j5+Zm6deuaHj162J+79F4zZ86cMatWrTLGGDNu3DgTHR1tPvroI/vzzzzzjBk4cGDNddxJ1G2tuo2xbu3UTd2lqNv76nZHHhmI5s6da+rWrWv69+9v/vOf/5j58+eb3r17m2PHjjls99JLL5mGDRuaESNGGGOM2bNnjxkzZozx9/c3kydPNhMnTjRBQUFm6dKlxhj3vzkldVurbmOsWzt1Uzd1X+RtdbsrjwtEX3zxhenbt69ZvXq1vW39+vXGz8/Pfua9McYsWbLEREREmLffftshZRcXF5tnn33WPPDAA2bo0KHm//2//1ej/b9a1G2tuo2xbu3UTd3U7b11uzOPCUSliffn918xxpjU1FTTunVrs2bNGnvb+fPnzalTp8rdhyehbmvVbYx1a6du6i5F3d5Xtydw+8vuk5OTJZXcb0WSfH19y2zTuHFjnTlzRufPn5dUcsmhn5+f6tat67CdzWar5t5WHeq2Vt2SdWunbur+Oer2nro9idsGog0bNqhly5YaPny4du7cKR8fH/sP0qWMMbrmmmvUvHlz7dy5U5Jn/7BQt7XqlqxbO3VTN3Vf5G11eyK3DEQ7duzQyy+/rNtvv1233HKLpk2bJqn8Hw6bzaYzZ86oXbt2+v7773X27FmP/SGibmvVLVm3duqmbom6L+VNdXsqtwpEpak5NDRUsbGxmj59uubOnasvv/xSiYmJksq/G3Xt2rVVv359ZWdnKzAw0OPuUk7d1qpbsm7t1E3d1O29dXu86j9N6ZelpaWZkydPOrSVnnB2/vx58+ijj5omTZqYs2fPlnlt6Vn37777rvH397ev3ukJqPsiK9RtjHVrp+6LqJu6va1ub+HSEaI1a9YoLCxMo0ePVpcuXfT0008rJydHkuzzrH5+fpoyZYoCAwM1a9as0hBn34ePT0kJZ86c0X333ae6deuWOz/rTqjbWnVL1q2duqmbur23bq9Tc9nL0a5du0y7du3MggULzJ49e8ySJUtMkyZNzOTJk+1rMJQm6+LiYrNkyRLj5+dnX5a8sLDQnD592r6/S9dncGfUba26jbFu7dRN3dTtvXV7oxoPRKXrJyxdutS0bNnS5OXl2Z97+eWXTZ8+fczcuXPLvO748eMmJibGjBgxwqSlpZnY2Fjz5ptvesx6DNRtrbqNsW7t1E3dpajb++r2ZjU+ZVZ61vzBgwd1/fXXy8/Pz/7c+PHjFRUVpY0bN2rfvn2SpAsXLkiSGjZsqAceeEDr1q1Tz5495e/vr1GjRnnMWfjUba26JevWTt3UXYq6va9ur1bdiWvz5s3m4YcfNgsWLDCpqan29rVr15rAwEDzzTffGGMuDilu3rzZ9O3b1/z1r3+1b1tYWGgWL15sfHx8zIABA8wXX3xR3d12GnVbq25jrFs7dVO3MdTtrXVbSbUFoiNHjpjhw4ebpk2bmjFjxpjOnTubkJAQ+w/SmTNnTLt27czEiRONMY7zpv369TMPPfSQ/fucnBwzbdo088Ybb1RXd6sMdVurbmOsWzt1Uzd1e2/dVlQtgej06dNm3LhxJi4uzn7imDHG9OzZ04wfP94YU5KiV6xYYXx8fMrclG7MmDFm0KBB1dG1akXd1qrbGOvWTt3UbQx1G+OddVtVtZxDVKdOHQUEBGj8+PGKiIhQUVGRJGn48OHav3+/pJL7uIwePVojRozQ/fffr61bt8oYo5ycHH399dcaM2ZMdXStWlG3teqWrFs7dVO3RN2Sd9ZtWdWVtM6dO2f/c+nZ8/fcc4954IEHHNrOnDljBg4caJo2bWpiY2NNixYtTJ8+fUxmZmZ1da1aUbe16jbGurVTN3VTt/fWbUU2Y2pu5af+/fvrvvvu0/jx42WMUXFxsXx9ffXDDz9o79692rVrl1q3bq277767prpUI6jbWnVL1q2duqmbur23bq9XU8nrm2++MaGhoWb37t32tsLCwpp6e5ehbmvVbYx1a6du6qZueLJqX4fI/G8AaseOHapXr56ioqIkSbNnz9a0adN09OjR6u6CS1C3teqWrFs7dVO3RN3eWreV+P3yJs4pXWzq008/1ahRo7RlyxZNnDhRP/30k9588001bdq0urvgEtRtrbol69ZO3dRN3d5bt6XUxDDUmTNnzHXXXWdsNpsJCAgwzz33XE28rctRt7XqNsa6tVM3dVuBVeu2iho7qXrw4MFq06aN/vrXvyowMLAm3tItULe16pasWzt1U7cVWLVuK6ixQHThwgX5+vrWxFu5Feq2HqvWTt3WQt3wNjV62T0AAIA7qvG73QMAALgbAhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALC8/w9MeNGcmXwVzQAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "N_lat = 37.5; \n", - "S_lat = 33\n", - "W_lon = -113.5\n", - "E_lon = -110.0\n", - "\n", - "subset = (latsS_lat)&(lons>W_lon)&(lons\n", - "\n", - "\n", - "# **3.0 SMAP Quality Flags**\n", - "\n", - "\n", - "---" - ] - }, - { - "cell_type": "markdown", - "id": "48e87d85-674a-4f38-8af9-14db223b0d96", - "metadata": {}, - "source": [ - "## 1. **Overview**\n", - "\n", - "This provides an overview of the retrieval quality flags and surface quality flags that are used with SMAP data. \n", - "\n", - "* Retrieval Quality Flag (combines all surface flags)\n", - "* Surface Quality Flag (provides information on why certain areas might be flagged) " - ] - }, - { - "cell_type": "markdown", - "id": "88418780-4ced-44d3-a54c-01059c25f5f7", - "metadata": {}, - "source": [ - "### **Credits**\n", - "This tutorial is based on the notebooks originally provided to NSIDC by Adam Purdy. Jennifer Roebuck of NSIDC updated the tutorials to include the latest version of SMAP data and use earthaccess for authentication, seatching for and downloading the data in order to incorporate it into the NSIDC-Data-Tutorials repo. \n", - "\n", - "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues).\n" - ] - }, - { - "cell_type": "markdown", - "id": "faef4353-4c94-45fe-9832-3831f3fa37e0", - "metadata": {}, - "source": [ - "### **Learning Goals**\n", - "\n", - "1. Understand the retrieval and surface quality flags and how to use them" - ] - }, - { - "cell_type": "markdown", - "id": "d21ca604-20de-460d-be82-d504720160d6", - "metadata": {}, - "source": [ - "### **Prerequisites**\n", - "\n", - "1. The nsidc-tutorials environment is set up and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n", - "2. SMAP data that were downloaded in the first notebook tutorial - 1.0 Download SMAP data. " - ] - }, - { - "cell_type": "markdown", - "id": "bc4ebd76-7580-4c7c-838b-7b0aae2a97a3", - "metadata": {}, - "source": [ - "### **Time Requirement**\n", - "\n", - "Allow approximtely 5 to 10 minutes to complete this tutorial. " - ] - }, - { - "cell_type": "markdown", - "id": "5770fce2-57be-4510-bdb6-b071c220d79b", - "metadata": {}, - "source": [ - "## **2. Tutorial Steps**" - ] - }, - { - "cell_type": "markdown", - "id": "1087c320-3a87-420b-b241-0fbe56620f9b", - "metadata": {}, - "source": [ - "### Import libraries\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a3353e2a-5005-43d8-839a-e9c7e16fcf08", - "metadata": {}, - "outputs": [], - "source": [ - "import datetime as dt\n", - "import glob\n", - "import h5py\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import os" - ] - }, - { - "cell_type": "markdown", - "id": "921ec8d3-5486-48a6-9684-15f66aef587a", - "metadata": {}, - "source": [ - "Read in the SMAP data that we downloaded in the previous notebook." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "759498fc-2ded-4288-9d59-5bfbaf1c22ff", - "metadata": {}, - "outputs": [], - "source": [ - "this_dir = os.getcwd()\n", - "L3_SM_P_dir = os.path.join(this_dir, 'data/L3_SM_P/')\n", - "\n", - "flist = glob.glob(os.path.join(L3_SM_P_dir, '*.h5'))\n", - "filename = flist[0]; \n" - ] - }, - { - "cell_type": "markdown", - "id": "358efeb8-49c7-496e-94d6-558178ae4cfb", - "metadata": {}, - "source": [ - "Read in the soil moisture and surface_flag variables from the Soil_Moisture_Retrieval_Data_AM group in each of the files. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bc77eeae-bfa0-4a3c-88fc-2544b8fbc4e4", - "metadata": {}, - "outputs": [], - "source": [ - "f = h5py.File(filename, 'r')\n", - "group_id = 'Soil_Moisture_Retrieval_Data_AM'\n", - "var_id = list(f[group_id].keys())[25] # soil_moisture\n", - "sm_data = f[group_id][var_id][:,:]\n", - "surf_flag_L3_P = f[group_id]['surface_flag'][:,:]" - ] - }, - { - "cell_type": "markdown", - "id": "7cf93589-41b5-44d7-988f-394fbf18c514", - "metadata": {}, - "source": [ - "Now lets look at the two types of flags\n", - "\n", - "### Retrieval Flags \n", - "\n", - "Four different values are possible, as outlined in the cell below. We will plot the retrieval quality flag and in the resulting plot areas that have a value of 0 (black regions) include data of recommended quality. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a85e1545-84ea-485a-8653-e37a27654e40", - "metadata": {}, - "outputs": [], - "source": [ - "# Grab the Retrieval Quality Variable\n", - "ret_flag_L3_P = f[group_id]['retrieval_qual_flag'][:,:]\n", - "# Create a definition for the retrieval flags\n", - "ret_flags = {\n", - " 0:'Recommended Quality',\n", - " 1:'Retrieval Attempted',\n", - " 2:'Retrieval Successful',\n", - " 3:'Undefined'\n", - "}\n", - "# SMAP RECOMMENDED QUALITY BIT IS 0\n", - "fig, ax = plt.subplots()\n", - "\n", - "cax = ax.imshow((ret_flag_L3_P>>0)&1, cmap=plt.cm.get_cmap('bone', 2))\n", - "ax.set_title(ret_flags[0])\n", - "\n", - "cbar = fig.colorbar(cax, ticks=[0, 1], orientation='horizontal')\n", - "cbar.ax.set_xticklabels(['Good Data', 'Not Recommended']) # horizontal colorbar\n", - "\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "id": "6537954f-7f34-4ce9-8e1d-a4af62dc32ec", - "metadata": {}, - "source": [ - "### Surface Flags \n", - "\n", - "The different values that the flag can have are listed in the cell below " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c2e7941b-c392-4c91-be1c-5175b5b507a1", - "metadata": {}, - "outputs": [], - "source": [ - "surf_flags = {\n", - " 0:'Static water body',\n", - " 1:'Radar water body detection',\n", - " 2:'Coastal Proximity',\n", - " 3:'Urban Area',\n", - " 4:'Precipitation',\n", - " 5:'Snow or Ice',\n", - " 6:'Permanent Snow or Ice',\n", - " 7:'Frozen Ground (radiometer)',\n", - " 8:'Frozen Ground (model)',\n", - " 9:'Mountainous Terrain',\n", - " 10:'Dense Vegetation',\n", - " 11:'Nadir Region',\n", - " 12:'Undefined'\n", - "}" - ] - }, - { - "cell_type": "markdown", - "id": "d92e6b62-08c2-4267-ae47-f299569dc206", - "metadata": {}, - "source": [ - "Now we will plot the surface flags, where black areas indicate no flag and white areas indicate flagged data." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "689bfe5b-60e6-4c7c-8a61-63947721537a", - "metadata": {}, - "outputs": [], - "source": [ - "for i in np.arange(0,12):\n", - " fig, ax = plt.subplots()\n", - " cax = ax.imshow((surf_flag_L3_P>>i)&1, cmap=plt.cm.get_cmap('bone', 2))\n", - " ax.set_title(surf_flags[i])\n", - " cbar = fig.colorbar(cax, ticks=[0, 1], orientation='horizontal')\n", - " cbar.ax.set_xticklabels(['No Flag', 'Flag Present']) # horizontal colorbar\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e544f7dc-15b4-473a-b09a-043b13a94b97", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.15" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/SMAP/EASE2_M36km.lats.964x406x1.double b/notebooks/SMAP/EASE2_M36km.lats.964x406x1.double deleted file mode 100644 index 48d3ae1..0000000 --- a/notebooks/SMAP/EASE2_M36km.lats.964x406x1.double +++ /dev/null @@ -1,7713 +0,0 @@ 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lO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@W2WlO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@pO@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q:O@q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a/notebooks/SMAP/03_smap_quality_flags_rendered.ipynb +++ /dev/null @@ -1,408 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e49d9ba5-51ce-40df-9942-7fc29c8aee5e", - "metadata": {}, - "source": [ - "

              \n", - "\n", - "\n", - "# **3.0 SMAP Quality Flags**\n", - "\n", - "
              \n", - "---" - ] - }, - { - "cell_type": "markdown", - "id": "48e87d85-674a-4f38-8af9-14db223b0d96", - "metadata": {}, - "source": [ - "## 1. **Overview**\n", - "\n", - "This provides an overview of the retrieval quality flags and surface quality flags that are used with SMAP data. \n", - "\n", - "* Retrieval Quality Flag (combines all surface flags)\n", - "* Surface Quality Flag (provides information on why certain areas might be flagged) " - ] - }, - { - "cell_type": "markdown", - "id": "88418780-4ced-44d3-a54c-01059c25f5f7", - "metadata": {}, - "source": [ - "### **Credits**\n", - "This tutorial is based on the notebooks originally provided to NSIDC by Adam Purdy. Jennifer Roebuck of NSIDC updated the tutorials to include the latest version of SMAP data and use earthaccess for authentication, seatching for and downloading the data in order to incorporate it into the NSIDC-Data-Tutorials repo. \n", - "\n", - "For questions regarding the notebook, or to report problems, please create a new issue in the [NSIDC-Data-Tutorials repo](https://github.com/nsidc/NSIDC-Data-Tutorials/issues).\n" - ] - }, - { - "cell_type": "markdown", - "id": "faef4353-4c94-45fe-9832-3831f3fa37e0", - "metadata": {}, - "source": [ - "### **Learning Goals**\n", - "\n", - "1. Understand the retrieval and surface quality flags and how to use them" - ] - }, - { - "cell_type": "markdown", - "id": "d21ca604-20de-460d-be82-d504720160d6", - "metadata": {}, - "source": [ - "### **Prerequisites**\n", - "\n", - "1. The nsidc-tutorials environment is set up and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n", - "2. SMAP data that were downloaded in the first notebook tutorial - 1.0 Download SMAP data. " - ] - }, - { - "cell_type": "markdown", - "id": "bc4ebd76-7580-4c7c-838b-7b0aae2a97a3", - "metadata": {}, - "source": [ - "### **Time Requirement**\n", - "\n", - "Allow approximtely 5 to 10 minutes to complete this tutorial. " - ] - }, - { - "cell_type": "markdown", - "id": "5770fce2-57be-4510-bdb6-b071c220d79b", - "metadata": {}, - "source": [ - "## **2. Tutorial Steps**" - ] - }, - { - "cell_type": "markdown", - "id": "1087c320-3a87-420b-b241-0fbe56620f9b", - "metadata": {}, - "source": [ - "### Import libraries\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "a3353e2a-5005-43d8-839a-e9c7e16fcf08", - "metadata": {}, - "outputs": [], - "source": [ - "import datetime as dt\n", - "import glob\n", - "import h5py\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import os" - ] - }, - { - "cell_type": "markdown", - "id": "921ec8d3-5486-48a6-9684-15f66aef587a", - "metadata": {}, - "source": [ - "Read in the SMAP data that we downloaded in the previous notebook." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "759498fc-2ded-4288-9d59-5bfbaf1c22ff", - "metadata": {}, - "outputs": [], - "source": [ - "this_dir = os.getcwd()\n", - "L3_SM_P_dir = os.path.join(this_dir, 'data/L3_SM_P/')\n", - "\n", - "flist = glob.glob(os.path.join(L3_SM_P_dir, '*.h5'))\n", - "filename = flist[0]; \n" - ] - }, - { - "cell_type": "markdown", - "id": "358efeb8-49c7-496e-94d6-558178ae4cfb", - "metadata": {}, - "source": [ - "Read in the soil moisture and surface_flag variables from the Soil_Moisture_Retrieval_Data_AM group in each of the files. " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "bc77eeae-bfa0-4a3c-88fc-2544b8fbc4e4", - "metadata": {}, - "outputs": [], - "source": [ - "f = h5py.File(filename, 'r')\n", - "group_id = 'Soil_Moisture_Retrieval_Data_AM'\n", - "var_id = list(f[group_id].keys())[25] # soil_moisture\n", - "sm_data = f[group_id][var_id][:,:]\n", - "surf_flag_L3_P = f[group_id]['surface_flag'][:,:]" - ] - }, - { - "cell_type": "markdown", - "id": "7cf93589-41b5-44d7-988f-394fbf18c514", - "metadata": {}, - "source": [ - "Now lets look at the two types of flags\n", - "\n", - "### Retrieval Flags \n", - "\n", - "Four different values are possible, as outlined in the cell below. We will plot the retrieval quality flag and in the resulting plot areas that have a value of 0 (black regions) include data of recommended quality. " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "a85e1545-84ea-485a-8653-e37a27654e40", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Grab the Retrieval Quality Variable\n", - "ret_flag_L3_P = f[group_id]['retrieval_qual_flag'][:,:]\n", - "# Create a definition for the retrieval flags\n", - "ret_flags = {\n", - " 0:'Recommended Quality',\n", - " 1:'Retrieval Attempted',\n", - " 2:'Retrieval Successful',\n", - " 3:'Undefined'\n", - "}\n", - "# SMAP RECOMMENDED QUALITY BIT IS 0\n", - "fig, ax = plt.subplots()\n", - "\n", - "cax = ax.imshow((ret_flag_L3_P>>0)&1, cmap=plt.cm.get_cmap('bone', 2))\n", - "ax.set_title(ret_flags[0])\n", - "\n", - "cbar = fig.colorbar(cax, ticks=[0, 1], orientation='horizontal')\n", - "cbar.ax.set_xticklabels(['Good Data', 'Not Recommended']) # horizontal colorbar\n", - "\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "id": "6537954f-7f34-4ce9-8e1d-a4af62dc32ec", - "metadata": {}, - "source": [ - "### Surface Flags \n", - "\n", - "The different values that the flag can have are listed in the cell below " - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "c2e7941b-c392-4c91-be1c-5175b5b507a1", - "metadata": {}, - "outputs": [], - "source": [ - "surf_flags = {\n", - " 0:'Static water body',\n", - " 1:'Radar water body detection',\n", - " 2:'Coastal Proximity',\n", - " 3:'Urban Area',\n", - " 4:'Precipitation',\n", - " 5:'Snow or Ice',\n", - " 6:'Permanent Snow or Ice',\n", - " 7:'Frozen Ground (radiometer)',\n", - " 8:'Frozen Ground (model)',\n", - " 9:'Mountainous Terrain',\n", - " 10:'Dense Vegetation',\n", - " 11:'Nadir Region',\n", - " 12:'Undefined'\n", - "}" - ] - }, - { - "cell_type": "markdown", - "id": "d92e6b62-08c2-4267-ae47-f299569dc206", - "metadata": {}, - "source": [ - "Now we will plot the surface flags, where black areas indicate no flag and white areas indicate flagged data." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "689bfe5b-60e6-4c7c-8a61-63947721537a", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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YTCG4BsMznbmT+vNPYkh5gzAHcxjJICmH2ZjDfFL6xhwyhfyPdgbboNxWjvYuVjcjh9mYQ485ZGUAvMth5en4QGSQlMMMUvrGHHKFdDEVjINye4wWVHZbH0Yxh56EATTYChhJOcwkJYcZpPSNOWQL2WJKyg7h7xzeFlRNbYNxcmAOmTnsTsq6YA7zSekbc8gXktdM+fM3pCTmaF5Qne03sKS8QZhDjzn0JOSw+9gRrDnMIKVvzBEcQu7IlIQBGTA/R/OL09t6vVBZH55iDj0pA6iUHERErQnJI1PByJfJofmfqPH0aJW/c5jBjBy+FDDMYT7m0GMO80npG3MEj5AqpkJ1kmpeVFmRoT2SshC1JpjHDjvnMIOUvjFHcAmZ03xSJmwrczgcDu0mBbeLXjDn4EAeGoJ5HyXvcB17LmSKKZLH1zeqlF97Zw5zMYeelBx2JmUdS8lBnguJYirYJym75iBqCycTPSnrQ8rYYcb6CPa+2TVHsLB9MRXsg5C/MYcec+jZYQD157oM9vXhzxzS9lEp69iOpGzrYGL7YopIOiMDl50nS6sxR+iQso6l5CDv2frbfFJ2TDvkkDJp2zEH+Q+3iznsMIaRZ7iOfcMjU22QMihLyUHmkDJwMYeeHXJIGjukrM/WSFnHUnIYISWHFWxbTEl58zKHHnPYj5QBlDnM4Y/3ij/WiT9+dJjax3HRd7Y+zUckmdGBy18TipQB1KxvaDVfT60tMzuHp6/T/M9A2YHkwkfKOpaSg3xny2JKyo7JHHp2KR4kTw6k19q2krL92spxtmIvFEkZw+yM69gY257mM0LKQMYcZDYpA6iVOaT9mSWHwyHi5x2MPhaQPXZI2NaAnBxGSd7WgcBiigJCyoDBHPbk60Du7+0gZUI5M4c3mYJhv5S4jq0kJUeos10xJWUwYA4yk5QBVEoOX0n7W5UAr9lqTkoOM0jpm5Qcwcx2xRSRmfz9rSQrMYeelByB0tqF+U3rINjWhbd5g61/JJ+tiikpbxCJXyVmDjn7B4U2qQWLxKN0nmrvYn6iQLBVMeUPwTqYEHlDyiQTyjlaO6UmZX1IIekPGvubnT5kct5kMUUhwk4DqBRSBlDJOc52XVJ7y/yZwwpm5AiGvp15upRCB4spP5PyJmIO/wuGgZzIKDu9Z63C92josU0xxQHAvuwyMEnZR5lDz8wcdvtZgkAK1lN8nmxzKdtaSg47sE0xRf5ntIiR8kaVkoNIIju/PyR+ELPz+g5lLKbOIKV4kJKDiOxPYsFhBgnjooQM/hYq+8/Z2KKYsuMOSmQGKe8Vu33waOvic0+fPxTWh9Ecnj6n2fu4t307cz+Q9EUDKWOBXdiimKL/I+UNwhx6UiYpf5GSQyop+10o4r5JVvC6mPrPf/6D66+/HqmpqXA4HFi1apXufqUU5s+fj9TUVMTGxiI7Oxs7duzQtamrq8P06dORnJyM+Ph4jB49Gvv37zfUEavZbfCUMiAxBwWjph/A5H5D3A9Cg9fF1NGjR3HJJZfgmWeeafX+wsJCLFq0CM888wzKysrgcrkwfPhw1NbWam1yc3OxcuVKlJSUYMOGDThy5AhGjRqFhoYGrztgtyKGiAJDytjBHHq+5Djbj54Gc9/MICWHrSgDAKiVK1dq/25sbFQul0sVFBRoy06cOKGcTqcqKipSSil1+PBhFRkZqUpKSrQ233zzjQoLC1OrV6/26HXdbrcCoAzGb6HpOX25ScjAHDJz+BNzMEeo5jjbY878b7D1LRRzuN1uv+awml+vmdq9ezeqqqqQk5OjLYuOjkZWVhY2btwIACgvL8fJkyd1bVJTU5GZmam1aa6urg41NTW6m78ZOQyrhFT5zKEnJQdRINj9VNKZ7+fW3ttKKdPXgZR1zBzy+LWYqqqqAgCkpKTolqekpGj3VVVVISoqCh07dmyzTXP5+flwOp3arVu3bgAAt9vtz/hEFESkDORSckiifPyTKmd7THvPy+3gGX7INIcp3+ZrvlN78omhvTZz5syB2+3WbhUVFX7LSnJJGRyZQ09KDiOkTCh2zNHaH3A2kycFmARScpA5/FpMuVwuAGhxhKm6ulo7WuVyuVBfX49Dhw612aa56OhoJCYm6m6kZ9ZgaGUOI5hDz585jDyXlPVB5jrzG2xNR5P8ve3NeE4iX/m1mEpLS4PL5UJpaam2rL6+HuvXr8egQYMAAH379kVkZKSuTWVlJbZv3661CSZ8M1OoscORKQqM5j8R0Vph5Y9i68znJ7JChLcPOHLkCL788kvt37t378bWrVvRqVMnnHfeecjNzUVeXh7S09ORnp6OvLw8xMXFYcKECQAAp9OJyZMnY9asWUhKSkKnTp0we/Zs9O7dG8OGDfNfz7wgZXKQkoOIQkegCpDmp/+8eV2Hw6G7FOTMx7KQ8hzXkXm8Lqa2bNmCwYMHa/+eOXMmAGDixIkoLi7GPffcg+PHj2PKlCk4dOgQBgwYgDVr1iAhIUF7zBNPPIGIiAiMGzcOx48fx9ChQ1FcXIzw8HA/dImIqG1SJhQpp+b9ydMczQurpmLJk8c0tWvttVq7XleCUN7WocKhpOxtXqipqYHT6YTb7fbL9VNSrhHyNYe/NyFzMIe/MzAHcxjJ0dpF7Z580SkY+haKOQD4bf6Wgn+bz4AgrEODhpRPPcxBZK3m+35bf56F75HgYNefNGIxJYSUgUBKDiIyn5QPhFJy2BnXsblYTBGR6aQM5MwROsxax94+L7d1aAj5YirYj8RIeaMyhx5zENlPIP5kDQWnkC+mfMVJiogkkPINtlAoMqzuo9Wv30TCl2GkYTFFRB4J9oHc36TkaE5qrrZ4+i0+K0nJ4Ss7FzFSsJgiaoOUAVRKDrIXTrDm4zoOHSymBJAyWTKHf0gZQJlDjzlCB9cxBVpIF1OctP2DOYiIKJSFdDHlK07aRETGcSw1n5R1LCWHWVhMERGFGCl/6og8J2UdS8khDYspIgoaUgZyKV8Nl7I+zBDs69juR2JIj8UUUSukDKDM4R9SchCRPbGY8pJdJymJObx5bk6WRERklZAtpux8eNwuuI2I/E/KBw8pOexMyjqWksNMIVtMERERmSEUigfSYzFFRLYmZWKTksPOuI7JKiymiGxGyoQiJYe/tXb62Yq+SjkNLiWHGaT0jTnkYzHlBSmTQyjmaO+1QnF9BJKUAVRKjtZIzhaMuD4p2LCYIjEDV3s5ApkxGNYHUTCz6wcPSaSsYyk5zMZiykKcLIlCg5QJRUoOM0jpm5QcFFghWUyxiCEiIvIc5832hWQxRUTmkvLpXEoOIrI3FlNBRsrkwBx6zEGBJOUogZQcdsZ1HBxYTHmIkxQRcWILHdzW5A0WU0RnkDKAMoeelBy+kPJBLFhy+LKtg6VvgcIcgcdiKsRJmaSk5CD7CKWBnIisFXLFlJRJW0oOIiKi9nC+OruQK6aI2hPMRzOkZJeSg8zFCdZ8XMfBg8UUeU3KZMkcRNaxcr/ne46kYTHlASlvXCk57IyfBEk6KfuolReKm70OpKzjYBZq8xWLKSJqlZQJJZhzSJlQpOQ4G65j46TkCDUspshywTxZmkFKjmDGCYWIAimkiikpkxRzEBER2UdIFVNE/iblCAhzUCDxg1jo4Lb2DIsp8oqUyVJKDqJA4sQWOritgwuLqbOQMmlLyUFE5AuOYeaTso6l5AgkFlNEJJaUT+f8lpn5pKxjKTkouLCYIhKExYNxUnIQUehgMRVgwTxZmiGYcnCSJiKi1nhVTOXn56N///5ISEhA586dMWbMGOzatUvXRimF+fPnIzU1FbGxscjOzsaOHTt0berq6jB9+nQkJycjPj4eo0ePxv79+433ph1SJm0KXs33ISnFlZQcREShyqtiav369Zg6dSo+/PBDlJaW4tSpU8jJycHRo0e1NoWFhVi0aBGeeeYZlJWVweVyYfjw4aitrdXa5ObmYuXKlSgpKcGGDRtw5MgRjBo1Cg0NDf7rGfmdlElbSg6iQJLygVBKDjNI6RtzBCFlQHV1tQKg1q9fr5RSqrGxUblcLlVQUKC1OXHihHI6naqoqEgppdThw4dVZGSkKikp0dp88803KiwsTK1evdqj13W73QqAcrvdHmcF4PXNDMzBHMzBHIHKICWHlc9rdt+Yw7sMvszfwcDQNVNutxsA0KlTJwDA7t27UVVVhZycHK1NdHQ0srKysHHjRgBAeXk5Tp48qWuTmpqKzMxMrU1zdXV1qKmp0d2IiAKBF+PLJKVvzEGAgQvQlVKYOXMmrrrqKmRmZgIAqqqqAAApKSm6tikpKdp9VVVViIqKQseOHdts01x+fj6cTqd269atm6+xicgEZgzk0osYTl7+w9NJFOx8LqamTZuGTz/9FK+99lqL+1q7UPdsb5b22syZMwdut1u7VVRU+BqbIGfgYg49KcWDlPUhHdcTETXxqZiaPn063nzzTaxduxbnnnuuttzlcgFAiyNM1dXV2tEql8uF+vp6HDp0qM02zUVHRyMxMVF3C0YcfImIiOzHq2JKKYVp06ZhxYoVePfdd5GWlqa7Py0tDS6XC6Wlpdqy+vp6rF+/HoMGDQIA9O3bF5GRkbo2lZWV2L59u9bG31jEkL/xFA8FkpQxTEoOM0jpG3MEpwhvGk+dOhWvvvoq/va3vyEhIUE7AuV0OhEbGwuHw4Hc3Fzk5eUhPT0d6enpyMvLQ1xcHCZMmKC1nTx5MmbNmoWkpCR06tQJs2fPRu/evTFs2DD/99BHUiZL5tCTkoNCAycU83Edkx14VUwtWbIEAJCdna1bvnTpUkyaNAkAcM899+D48eOYMmUKDh06hAEDBmDNmjVISEjQ2j/xxBOIiIjAuHHjcPz4cQwdOhTFxcUIDw831hsiIgIg54OHlBx2JmUdS8lhBYcKwt7X1NTA6XTC7XZ7dP1UMF/YyxzMIT2HhAyBzHG2L9SE2vowmsPOfWOOlrydv4MF/zYfhTS7D1yByBFquI6IqDkWUwEiZQBmDiIiuYLwZBEhBIopTtpERMZxLA0cqwsqbmvv2b6YIuOsfmM3kZKDzCVlIGcO80npm6QcTbfWxjuOgXKxmGqFlB1WSg4iIgqs1go8KUVfa0J9vmIxRUTkJ1ImFDvnsHPffCElR6hjMUVksWD+Jp+UgVxKDiIKTSymAkDKoVnm0Avm4oGIiOSwdTElZdImIiIKBpw3fWPrYorsg0eEQoOUgZw59MzIIaVvUnB9BDcWU0JJKR6k5CBzcSCnUMV9n/yBxVQzLB6IiIzjWGo+KetYSg4rsZiikCTl06iUHGSclAlFSg4zSOmblBwkB4spk0mZLJnDOCkDKHPoSclBRKHLtsVUME/apMfJksg6dh5LpfSNOYKfbYspovawQJNHykDOHOazc98oNLGYopDU1h8SDUWc2IiIjGExdQYpkytzBE5TH0Ohr0REZA4WUyFAypEHKTmA08VTUx6rCilJ64PsQcqHAik57EzKOpaSw2q2LKbOnKSUUpwsScfhcLS7bSQPDlKyMYeelBx2JmUdS8nhb5yvjImwOoDZuINQe1rbP1pbZtcBlPSkjBd2zmHnvvlCSg4yxpZHpsg4KcWDlBz+JmUAZQ4iIuNsf2SKqC3NC7XmE/qZ11URERG1hcWUMDwSY64zc5wtk5TMREQkm+1O8/k6Afq7iJEyEUvJESya7wdWfoGBiIiCg+2KKSIjmhefZ/vmH1lHSpEr5YOYXXOY8ZxS+sYc9sFiiijApAxcwZ7D36TksDOuY7IrFlPUgpRPG1ImbSnrg4iIZGIxRURERGSArYopKYeQmUNPSg4iItLj+Owftiqmgh1PJxFZQ8qEwhzmk9I3KTnIP1hMgUUMBY6UAZQ57EXKGNZejmDf1sGwjgNJSg4pWExRSAj2gZz0pAzkUnLYGdcxBQMWUzYlpXgI9m/QMYeelBxERJLYpphi8eAfUnIQEZG5pMybdmCbYoqIPCNlAGUOPTvnsHPffCElB/kPiykyjZQBgzmIiMhMIV9M8bQWEZFxHEvNJ2UdS8khiS2KKSmf+JmDKHRImVCk5DCDlL5JyUFy2aKYIjKDlAHUjjmMFPxScviTnXPYuW++YA578qqYWrJkCfr06YPExEQkJiZi4MCB+Ne//qXdr5TC/PnzkZqaitjYWGRnZ2PHjh2656irq8P06dORnJyM+Ph4jB49Gvv37/dPb8gQTtrmYQ4iIvvyqpg699xzUVBQgC1btmDLli0YMmQIbrjhBq1gKiwsxKJFi/DMM8+grKwMLpcLw4cPR21trfYcubm5WLlyJUpKSrBhwwYcOXIEo0aNQkNDg3975gEWD+aRkoOIiMh0yqCOHTuqF154QTU2NiqXy6UKCgq0+06cOKGcTqcqKipSSil1+PBhFRkZqUpKSrQ233zzjQoLC1OrV6/2+DXdbrcCoNxut1KnKxGfbv7kawbmYA7mYA4757Bz35jDe83nb7vw+ZqphoYGlJSU4OjRoxg4cCB2796Nqqoq5OTkaG2io6ORlZWFjRs3AgDKy8tx8uRJXZvU1FRkZmZqbbzFIyBEwUXKe5Y59Hi9lPnskEMJOaMjTYS3D9i2bRsGDhyIEydOoEOHDli5ciUyMjK0YiglJUXXPiUlBXv37gUAVFVVISoqCh07dmzRpqqqqs3XrKurQ11dnfbvmpoab2NTCLLDwOVPUnIYIWUgZw49M3LYuW++kJKDWuf1kamLLroIW7duxYcffoi77roLEydOxGeffabd33zAVkqddRA/W5v8/Hw4nU7t1q1bN29jhwQpk6WUHL5SSokZuJiDiEg+r4upqKgoXHDBBejXrx/y8/NxySWX4KmnnoLL5QKAFkeYqqurtaNVLpcL9fX1OHToUJttWjNnzhy43W7tVlFRAQBwOp3exjdFsBcPgJzJ0uocVr8+EZGZ7DBfSWT4d6aUUqirq0NaWhpcLhdKS0u1++rr67F+/XoMGjQIANC3b19ERkbq2lRWVmL79u1am9ZER0drP8fQdPNHbgmk5CAKBCkDOXPo8Xop80nJQebw6pqp+++/H9deey26deuG2tpalJSUYN26dVi9ejUcDgdyc3ORl5eH9PR0pKenIy8vD3FxcZgwYQKA00eSJk+ejFmzZiEpKQmdOnXC7Nmz0bt3bwwbNsyUDoYKKW9UO+RwOBx+K3LtsD6IiKh9XhVT3333HW699VZUVlbC6XSiT58+WL16NYYPHw4AuOeee3D8+HFMmTIFhw4dwoABA7BmzRokJCRoz/HEE08gIiIC48aNw/HjxzF06FAUFxcjPDzcvz0LEE5S9sOjhUSe4/sldHBbt82hgnDt1NTUGL5eSsqRB+aQlaPpyxBW5zgzD3PIycAcnuWwc9+Yw5im+dvtdvvlkh0p+Lf5yHbscoqPOYiIggOLKQPsMknZLQcREckk5Vv4/haSxRQnbSKykpSjdFJymEFK3+ySg/Nm+0KymCL7ssvA5S/MoSclh51xHVMoYjHlIykDBnMQBY6UT+d2zmHnvvlCSg5/sPM8wWKKSCApAyhz+J+UCUVKDjNI6RtzhA4WUxaRMjnYKYc/BgwpOfyBOfSk5LAzrmMKVSFXTHGy9D8pOYgocKR8ELMzKfOVlByShVwxRURkFSkTipQcZpDSNyk5KDBYTAUpKW9U5tBjDj3m8D+pR4S4jimUsZjykp0GDJJJykDOHHpGc0gZO6TkaI2UbW2UlHXMHIHDYiqESRm4pExSUnIYxRx6UnLYmZR1LCUHhZ6QKqakTJZSchglJQcRBZaUD2J2JmUd22W+MltIFVNEbZEycJF/SRnI7fxBjOvYnBxGSckRKlhMBRkpbxC75TD6PHZbH0ZJmdj8RUoOO+M6pmDGYspDUiYpMoeUgZw5/EfKe9bOOezcN18wh56UHIEQMsWUlMnBDjn8+QaRksMI5tCTkoPMIWUMszMp61hKjmAQMsWUEVImByk5iNoiZR+1Y8EvJYc0XMd6zGENFlNBQsqOyRx6zGEefiqWTUoRQyQBi6mzsOMkRXpSBnJfc/h7H5WSw1fMocdrpczHHHpScgRSSBRTUiYH5pCZw1dSchAFipQPHnYmZR0H+/gcaCFRTJFxUt4gzKHHHHp2Lfil5DDjOaX0TUoOX0nJEapYTLVByo4pJQeZK9g/jfqbLzmkvFfsnMPOffMFc+hJyWEFFlOtkLJDmJFDyiTFHMYxBxGRDLYvpoL5kzb9HykTNnPoMYcec5hPSt/s/OFOSo5gYvtiyltSdgjmoLZI2SZm5fB2IGeOwOQwg5S+ScnhLeaQg8XUGaTsEHbPIWXgCtYcZpGSwxt2f694S0oOM0jpG3PoSclhNVsXU95MDmbuEMzhO+bQYw5qC7eJ+aSsY84T8ti6mPKUlB2COfSYQy8UBlDm8D1HsOE61vM0RyiMR8Eo5Isps3cIKW8Q5mAOf2AOPeYwn5S+ScghIQMgJ4ckti2mPJmkpOwQzKHHHHrMoRcqOYKt0DZDqKxjKfOVlBzBKMLqAFaRskMwh14o5ZAycJ0tR6C2CXN4R0oOX3Ade4c55LPlkSkpb1TmYA4jJOSQkAFgjuak5DCDlL4xh56UHFKF3JEpKTuEhBwSMgDM0Vwgc7RXWDIHc5hBSt+YQ2aOYBUyxVSgd4a2dkzmYI62ckgZsJhDjznMJ6VvzKEnJUcwsF0x1XySkrIzMIdeKOeQUkgxB3N4m+NMvmSS3DfmsD5HMLNVMSWlkGKOtnNY+QaVkuNMzKEX6jkkvmeNtGkPt7XMbS1luwQbWxVTgPU7QtOOaXWOJlbnkLI+mIM5giFHEyk5zGB137itWyclR7CyVTElYWeQkKGJhCwSMgDM0Rxz6DHH/zHjF8El9KuJlCzMYS+2KqaIiMh3/iykOElTKGExRUREfimkWEBRqDL0o535+flwOBzIzc3VlimlMH/+fKSmpiI2NhbZ2dnYsWOH7nF1dXWYPn06kpOTER8fj9GjR2P//v1GohARkY98KaQcDkeLG1Go8rmYKisrw3PPPYc+ffrolhcWFmLRokV45plnUFZWBpfLheHDh6O2tlZrk5ubi5UrV6KkpAQbNmzAkSNHMGrUKDQ0NPjeEyIi8trZfqyxrRsRnUH5oLa2VqWnp6vS0lKVlZWlZsyYoZRSqrGxUblcLlVQUKC1PXHihHI6naqoqEgppdThw4dVZGSkKikp0dp88803KiwsTK1evdqj13e73QoAb7zxxhtvvPEWhDe32+1L+SGWT0empk6diuuuuw7Dhg3TLd+9ezeqqqqQk5OjLYuOjkZWVhY2btwIACgvL8fJkyd1bVJTU5GZmam1aa6urg41NTW6GxEREZEEXl+AXlJSgo8++ghlZWUt7quqqgIApKSk6JanpKRg7969WpuoqCh07NixRZumxzeXn5+Phx9+2NuoRERERKbz6shURUUFZsyYgWXLliEmJqbNds3PpyulznqOvb02c+bMgdvt1m4VFRXexCYiIiIyjVfFVHl5Oaqrq9G3b19EREQgIiIC69evxx/+8AdERERoR6SaH2Gqrq7W7nO5XKivr8ehQ4fabNNcdHQ0EhMTtVtCQoI3sYmIiEgQZcKPw1rJq2Jq6NCh2LZtG7Zu3ard+vXrh5tvvhlbt25Fz5494XK5UFpaqj2mvr4e69evx6BBgwAAffv2RWRkpK5NZWUltm/frrU5mzO/GUhERETBxW7zuFfXTCUkJCAzM1O3LD4+HklJSdry3Nxc5OXlIT09Henp6cjLy0NcXBwmTJgAAHA6nZg8eTJmzZqFpKQkdOrUCbNnz0bv3r1bXNDeltTUVHz22WfIyMhARUUFEhMTvekGmaympgbdunXjthGG20Uubhu5uG38SymF2tpapKamWh3Fr/z+C+j33HMPjh8/jilTpuDQoUMYMGAA1qxZozs198QTTyAiIgLjxo3D8ePHMXToUBQXFyM8PNyj1wgLC0PXrl0BQDv1R/Jw28jE7SIXt41c3Db+43Q6rY7gdw4VpCcua2pq4HQ64Xa7uYMLw20jE7eLXNw2cnHbkCcM/TkZIiIiolAXtMVUdHQ05s2bh+joaKujUDPcNjJxu8jFbSMXtw15ImhP8xERERFJELRHpoiIiIgkYDFFREREZACLKSIiIiIDWEwRERERGRCUxdTixYuRlpaGmJgY9O3bF++9957VkWwtPz8f/fv3R0JCAjp37owxY8Zg165dujZKKcyfPx+pqamIjY1FdnY2duzYoWtTV1eH6dOnIzk5GfHx8Rg9ejT2798fyK7YXn5+PhwOB3Jzc7Vl3DbW+eabb3DLLbcgKSkJcXFxuPTSS1FeXq7dz21jjVOnTuGBBx5AWloaYmNj0bNnTyxYsACNjY1aG24b8ooKMiUlJSoyMlI9//zz6rPPPlMzZsxQ8fHxau/evVZHs60RI0aopUuXqu3bt6utW7eq6667Tp133nnqyJEjWpuCggKVkJCgli9frrZt26Zuuukm1aVLF1VTU6O1ufPOO1XXrl1VaWmp+uijj9TgwYPVJZdcok6dOmVFt2xn8+bNqkePHqpPnz5qxowZ2nJuG2scPHhQde/eXU2aNElt2rRJ7d69W7399tvqyy+/1Npw21jjkUceUUlJSeof//iH2r17t/rLX/6iOnTooJ588kmtDbcNeSPoiqkrrrhC3XnnnbplvXr1Uvfdd59FiUJPdXW1AqDWr1+vlFKqsbFRuVwuVVBQoLU5ceKEcjqdqqioSCml1OHDh1VkZKQqKSnR2nzzzTcqLCxMrV69OrAdsKHa2lqVnp6uSktLVVZWllZMcdtY595771VXXXVVm/dz21jnuuuuU7fffrtu2Y033qhuueUWpRS3DXkvqE7z1dfXo7y8HDk5ObrlOTk52Lhxo0WpQo/b7QYAdOrUCQCwe/duVFVV6bZLdHQ0srKytO1SXl6OkydP6tqkpqYiMzOT284Ppk6diuuuu67FHwvntrHOm2++iX79+uF///d/0blzZ1x22WV4/vnntfu5baxz1VVX4Z133sEXX3wBAPjkk0+wYcMGjBw5EgC3DXnP73/o2EwHDhxAQ0MDUlJSdMtTUlJQVVVlUarQopTCzJkzcdVVVyEzMxMAtHXf2nbZu3ev1iYqKgodO3Zs0YbbzpiSkhJ89NFHKCsra3Eft411vv76ayxZsgQzZ87E/fffj82bN+M3v/kNoqOjcdttt3HbWOjee++F2+1Gr169EB4ejoaGBjz66KMYP348AL5vyHtBVUw1cTgcun8rpVosI3NMmzYNn376KTZs2NDiPl+2C7edMRUVFZgxYwbWrFmDmJiYNttx2wReY2Mj+vXrh7y8PADAZZddhh07dmDJkiW47bbbtHbcNoH3+uuvY9myZXj11Vfx4x//GFu3bkVubi5SU1MxceJErR23DXkqqE7zJScnIzw8vEXVX11d3eITBPnf9OnT8eabb2Lt2rU499xzteUulwsA2t0uLpcL9fX1OHToUJttyHvl5eWorq5G3759ERERgYiICKxfvx5/+MMfEBERoa1bbpvA69KlCzIyMnTLLr74Yuzbtw8A3zdWuvvuu3Hffffh5z//OXr37o1bb70Vv/3tb5Gfnw+A24a8F1TFVFRUFPr27YvS0lLd8tLSUgwaNMiiVPanlMK0adOwYsUKvPvuu0hLS9Pdn5aWBpfLpdsu9fX1WL9+vbZd+vbti8jISF2byspKbN++ndvOgKFDh2Lbtm3YunWrduvXrx9uvvlmbN26FT179uS2sciVV17Z4idEvvjiC3Tv3h0A3zdWOnbsGMLC9NNfeHi49tMI3DbkNYsufPdZ008jvPjii+qzzz5Tubm5Kj4+Xu3Zs8fqaLZ11113KafTqdatW6cqKyu127Fjx7Q2BQUFyul0qhUrVqht27ap8ePHt/o14nPPPVe9/fbb6qOPPlJDhgzh14hNcOa3+ZTitrHK5s2bVUREhHr00UfVf//7X/XnP/9ZxcXFqWXLlmltuG2sMXHiRNW1a1ftpxFWrFihkpOT1T333KO14bYhbwRdMaWUUs8++6zq3r27ioqKUpdffrn2FX0yB4BWb0uXLtXaNDY2qnnz5imXy6Wio6PVT3/6U7Vt2zbd8xw/flxNmzZNderUScXGxqpRo0apffv2Bbg39te8mOK2sc7f//53lZmZqaKjo1WvXr3Uc889p7uf28YaNTU1asaMGeq8885TMTExqmfPnmru3Lmqrq5Oa8NtQ95wKKWUlUfGiIiIiIJZUF0zRURERCQNiykiIiIiA1hMERERERnAYoqIiIjIABZTRERERAawmCIiIiIygMUUERERkQEspoiIiIgMYDFFREREZACLKSIiIiIDWEwRERERGcBiioiIiMgAFlNEREREBrCYIiIiIjKAxRQRERGRASymiIiIiAxgMUVERERkAIspIiIiIgNYTBEREREZwGKKiIiIyAAWU0REREQGsJgiIiIiMoDFFBEREZEBLKaIiIiIDGAxRURERGQAiykiIiIiA1hMERERERnAYoqIiIjIABZTRERERAawmCIiIiIygMUUERERkQEspoiIiIgMiLA6gK9OnDiB+vp6q2MQERGRF6KiohATE2N1DL8KymLqxIkTiI2NtToGERERecnlcmH37t22KqiCspjiESkie3O73VZHICIT1NTUoFu3bqivr2cxRURkpsTERKsjEBF5jBegExERERnAYoqIiIjIABZTRERERAawmCIiIiIygMUUERERkQEspoiIiIgMYDFFREREZACLKSIiIiIDWEwRERERGcBiioiIiMgAFlNEREREBrCYIiIiIjKAxRQRERGRASymiIiIiAxgMUVERERkAIspIiIiIgNYTBEREREZwGKKiIiIyAAWU0REREQGsJgiIiIiMoDFFBEREZEBEVYHICJqrqamxuoIRGQCu763g7KYUkqhQ4cOOHLkiNVRiMgETqfT6ghEZJIOHTpAKWV1DL8KymLK4XDgyJEjqKioQGJiotVxiIiIyAM1NTXo1q0bHA6H1VH8KiiLqSaJiYkspoiIiMhSvACdiIiIyAAWU0REREQGBGUxFR0djXnz5iE6OtrqKEREROQhu87fDmW3S+qJiIiIAigoj0wRERERScFiioiIiMgAFlNEREREBtiumJo/fz4uvfRSq2MQERGJkp2djdzcXKtj2JIpxdSkSZPgcDhQUFCgW75q1SrDv3paXFwMh8PR4vbCCy8Yel4iIqJg1jT3Nr99+eWXAc3Ro0cP7bXj4uKQmZmJP/7xjwHN4Ivi4mL86Ec/8umxph2ZiomJwWOPPYZDhw75/bkTExNRWVmpu918881+fx0iIqJgcs0117SYH9PS0gKeY8GCBaisrMSnn36KMWPG4M4778Trr7/eatv6+voAp/M/04qpYcOGweVyIT8/v912y5cvx49//GNER0ejR48e+P3vf3/W53Y4HHC5XLpbbGxsq23LysowfPhwJCcnw+l0IisrCx999JGuzeeff46rrroKMTExyMjIwNtvvw2Hw4FVq1Z53F8iIiKrRUdHt5gfw8PDW227bNky9OvXDwkJCXC5XJgwYQKqq6t1bd58802kp6cjNjYWgwcPxssvvwyHw4HDhw+3m6PpOS+44AI88sgjSE9P1+bU7OxsTJs2DTNnzkRycjKGDx8OAPjss88wcuRIdOjQASkpKbj11ltx4MAB7Tn/+te/onfv3oiNjUVSUhKGDRuGo0ePavcvXboUF198MWJiYtCrVy8sXrxYu2/Pnj1wOBxYsWIFBg8ejLi4OFxyySX44IMPAADr1q3DL37xC7jdbu2o2vz58z1d7eYVU+Hh4cjLy8PTTz+N/fv3t9qmvLwc48aNw89//nNs27YN8+fPx4MPPoji4mK/5aitrcXEiRPx3nvv4cMPP0R6ejpGjhyJ2tpaAEBjYyPGjBmDuLg4bNq0Cc899xzmzp3rt9cnIiKSqL6+HgsXLsQnn3yCVatWYffu3Zg0aZJ2/549ezB27FiMGTMGW7duxR133OHz/BgTE4OTJ09q/3755ZcRERGB999/H3/84x9RWVmJrKwsXHrppdiyZQtWr16N7777DuPGjQMAVFZWYvz48bj99tuxc+dOrFu3DjfeeCOafirz+eefx9y5c/Hoo49i586dyMvLw4MPPoiXX35Zl2Pu3LmYPXs2tm7digsvvBDjx4/HqVOnMGjQIDz55JO6M1+zZ8/2vIPKBBMnTlQ33HCDUkqpn/zkJ+r2229XSim1cuVKdeZLTpgwQQ0fPlz32LvvvltlZGS0+dxLly5VAFR8fLx2S0lJ0e6fN2+euuSSS9p8/KlTp1RCQoL6+9//rpRS6l//+peKiIhQlZWVWpvS0lIFQK1cudLTLhMREVlq4sSJKjw8XDc/jh07Vrs/KytLzZgxo83Hb968WQFQtbW1Siml7r33XpWZmalrM3fuXAVAHTp0qM3n6d69u3riiSeUUkqdPHlSm7cXL16s5bj00kt1j3nwwQdVTk6ObllFRYUCoHbt2qXKy8sVALVnz55WX7Nbt27q1Vdf1S1buHChGjhwoFJKqd27dysA6oUXXtDu37FjhwKgdu7cqZQ6XV84nc42+9WeCJ9KTC889thjGDJkCGbNmtXivp07d+KGG27QLbvyyivx5JNPoqGhoc1DkwkJCbpTdWFhbR9gq66uxkMPPYR3330X3333HRoaGnDs2DHs27cPALBr1y5069YNLpdLe8wVV1zhVR+JiIgkGDx4MJYsWaL9Oz4+vs22H3/8MebPn4+tW7fi4MGDaGxsBADs27cPGRkZ2LVrF/r37697jKfz47333osHHngAdXV1iIqKwt1334077rhDu79fv3669uXl5Vi7di06dOjQ4rm++uor5OTkYOjQoejduzdGjBiBnJwcjB07Fh07dsT333+PiooKTJ48Gb/61a+0x506dQpOp1P3XH369NH+v0uXLgBO1wm9evXyqF9tMb2Y+ulPf4oRI0bg/vvv1x0+BAClVItv9ykP/rpNWFgYLrjgAo9ef9KkSfj+++/x5JNPonv37oiOjsbAgQO1C95ay0BERBSM4uPjPZofjx49ipycHOTk5GDZsmU455xzsG/fPowYMaLd+dGTORoA7r77bkyaNAlxcXHo0qVLi+dpXuQ1Njbi+uuvx2OPPdbiubp06YLw8HCUlpZi48aNWLNmDZ5++mnMnTsXmzZtQlxcHIDTp/oGDBige2zzgzKRkZHa/zdlaioijTC9mAKAgoICXHrppbjwwgt1yzMyMrBhwwbdso0bN+LCCy9s86iUt9577z0sXrwYI0eOBABUVFToLmjr1asX9u3bh++++w4pKSkATl+0TkREZFeff/45Dhw4gIKCAnTr1g0AsGXLFl2bXr164Z///KduWfM2bUlOTvb4oAcAXH755Vi+fDl69OiBiIjWSxOHw4Err7wSV155JR566CF0794dK1euxMyZM9G1a1d8/fXXhr7ZHxUVhYaGBp8eG5Af7ezduzduvvlmPP3007rls2bNwjvvvIOFCxfiiy++wMsvv4xnnnnGu4u+zuKCCy7AK6+8gp07d2LTpk24+eabdd/8Gz58OM4//3xMnDgRn376Kd5//33tAjsesSIiIjs677zzEBUVhaeffhpff/013nzzTSxcuFDX5o477sDnn3+Oe++9F1988QXeeOMN7Qti/p4fp06dioMHD2L8+PHYvHkzvv76a6xZswa33347GhoasGnTJuTl5WHLli3Yt28fVqxYge+//x4XX3wxgNM/2J2fn4+nnnoKX3zxBbZt24alS5di0aJFHmfo0aMHjhw5gnfeeQcHDhzAsWPHPH5swH4BfeHChS0OD15++eV44403UFJSgszMTDz00ENYsGBBi9OBRrz00ks4dOgQLrvsMtx66634zW9+g86dO2v3h4eHY9WqVThy5Aj69++PX/7yl3jggQcAnP72ARERkd2cc845KC4uxl/+8hdkZGSgoKAAjz/+uK5NWloa/vrXv2LFihXo06cPlixZoh1siI6O9mue1NRUvP/++2hoaMCIESOQmZmJGTNmwOl0IiwsDImJifjPf/6DkSNH4sILL8QDDzyA3//+97j22msBAL/85S/xwgsvoLi4GL1790ZWVhaKi4u9+o2tQYMG4c4778RNN92Ec845B4WFhR4/1qE8PQEaQt5//31cddVV+PLLL3H++edbHYeIiEiERx99FEVFRaioqLA6iigBuWZKupUrV6JDhw5IT0/Hl19+iRkzZuDKK69kIUVERCFt8eLF6N+/P5KSkvD+++/jd7/7HaZNm2Z1LHFYTOH0D3vec889qKioQHJyMoYNG+bRL7ETERHZ2X//+1888sgjOHjwIM477zzMmjULc+bMsTqWODzNR0RERGRAwC5AJyIiIrIjFlNEREREBrCYIiIiIjKAxRQRERGRASymiIiIiAxgMUVERERkAIspIiIiIgNYTBEREREZwGKKiIiIyID/B+H3VWfot6FBAAAAAElFTkSuQmCC\n", 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0KhIRERFR0Cwrpm688UYcO3YMs2fPRlFREbKysvCPf/wD7du3tyoSERERUdBs+XMyZWVlSE5OtjoGERERhaC0tBRJSUlWxzCMc27yQERERGQBy07zERFJUfsAvdOuMiIi87GYMoF3w1xz/yx/99EiImPU7Hv+9jNf+6C/Qsp7BIS/++LVt1+HexQF2xfjNLT+iWpjMRWkhhprX6/V/NvInTGQHOHAHMxhdY6GChbv1/1NX1MYBfM5Nc9JGXoabI7a8xzubcXso4G+iqGGvtAGsv6D/Xsr90EpR1yltEdmYjEVIImNZbAbplE7lpRvbMwRmTm8G+ZQjwrVd4QqUtSeZ7M7vECL3oY+P9T1ZFThW/uIZEMCmS5chaQVImmfYjHVgFC/aRjdMBm9Ufr71lb732Z+vl4S8kjIUENKFrNzBHIaLxBO/oYcqkALBKDhU5zBbge+ijrJgllOgUxjZj9hxbYuJUc4sZjyw4gd2oiNJ9DDzkZ82wr0c339bbh2lPpO0YQTc1iTw9+2rqfzNmL/sSt/QxICLQJq/hvJy1ACKcteSg4rsJjyob4NItDOQW8nEsihYQkdQs3nhuvUjtWYQ8uqHEZ14N6nCqUs13Ax6guZ3ZebEUfXrGJEf+WkHFZhMVWLUUd3zC6kajRUyBh55Moff+9r9qHr2qw+KsYc4c1hROFT+z185Yy0Iy2RNK+1BXMhUY1Ax0oFOq0eEtabhAwSsJj6/wWzg4T6ulE5aqZraACuv2IrXGpnDLXQlLKjMoeWUTmsuMrHXyElcdxOfbdqMPMzpcy/0cLxRbf2Z4R65aDROcwiJYcELKYgp+HUM+4jlL8PB7MzRlKD4aQcNYVMqHlD3Y7q6+j8Dai2ar/yzhNIERjIexo5nXcePeulvnF3Eto2KW2XhGUByMkhRcQXU1Ku/gk2h9HfoqU0WNJIWSbMEVqGUIuC+t4vlGXQ0N/5K+D8nYIMhdTTrrWLRSMuLqhPIOvYeyxqsBkCGT9q9pF6af1VJIjoYkpCxwDoH/thxHxIWRaSSFkmdssRSAMajm/lDQ0q9nclW32fFWohVV8ePR2O3bYNf3/bUEFltvrGfpr13r5eM+u0oJGk5JAmYospKRuE3sPiRl3VFOxn1ydcmcz81qP3lGtt4eosJS0PCerbDoMp+Iw4jdXQZ9TQcwTEKkYfOfIn0KN7DeUxc30Gw9f8+NtWnbiunSYii6lgNwizOim9ObwLqlDe0wxWf8v0JZgjAJIyS2DnHMF886/v740Yo2Xk9HZuw0I94ufv1Fgo66ihaY267UZ948ACZed1HUkirpiyc8fgi78CSwrvgbJGFn21G1d/xZKvsWXhGmAciadvJDbkwRyp8PW8lHXhBKEUt3oLn0CKGj2D+ut7X3/tHbcp54m4Ysqu9HZSRhUxenL4u5JKb6Zgv5mG8/RjKGNi9IzLMZKUBj/UI1L+TqN4d6CBDDoPNYcZIi2HnkH/DQl1IHgwnydlfenhhHkwW0QVU5HSSQV6Lp6MEcgRsUg75C2Bv8Hmvo6QNnTVnJ3bDifkCLTgBYLb3xradwNlxLwZ0UY7YV3bVcQUU1KKiXB+mwvn54VKer5QNDQmxKlX7EhpyIG623/tDjaYLxuR2Ck0RNI2GsitI/SOmwtFIKcmg5neKlJzSRQxxVSkklxU6ckkYSxLoPePCXTsTbgGOTfE6uVaw8hxhd4Xavg66uTrOSnLApCVxU7MHOwdzHs4+TQgAY2sDhAOdu+kzDyfH+73MEJ99+2xmr8xOL4GwpN/Royj81UQ+XpfX+tM2rYlZZuxe1tqxnsGsu34axOMnA8py1javhMujj8yZfdGyKn0LA+Jy7K+cRpGXLEULk5vQBvKWfsolZ6jn1KWh5E5pG2jUpZxQ7yvNpayHOtjh4zSRMSRKSIz1Hyz1HtKSO/pTqNIaUCNGojr64hToOvK6KMGekjJ4WRGL+P6BsTbpQik4Dj6yJSURkhKDj0CufopUEYVD/4Glgby/kaOuWLjaBwzbt3hva7ttD9KycocwfG+4MROV/TaZRlL4+hiSg8pG76UHDUkDPxuSCCncszotEMhZVlKyaGXv2K/vsHlvqYNx5gcs/dtKW2HlBz+GHlkuKEreX3924jTf1KWsZQcVnBsMSWlc3BqjlC/aZl5ON2Kzyd7jQkDfHdeRh65qm/snKTlYDeB3l5EKn8XP0jC7TN0ji2myDxSGoBQckjq0CLl6FggnYhZVzX5KvprnvO+E7rROQLJ5ut5X69bSUoOM4R73vyd8nPyMo4UjiympGyYzKFlRfFgxrxLKSbtIlxjRgK9JL2+U4BGFNuhjCu0+1EXs0lpw3wJdIymr/+XRPIytgNHFlN6SdnYmYPMFq4GVPI2VLv4MeOihPqORITjRo56ClkpR0/NYOYNOmsL9HYcdid5XYcDiykyTH0dhFMaDKNE2vIw+8hUIB1WoHesNzqHryItnEfpgj1CJr1TlJ6vtnBktdPycDLHFVNSOinmsE4kzLOUBjTQHGbnbagIqF3Q+DqtF86xUg0J1/bra5nVd+sRq0jJ4S2Q27Q0RMq8SclhZ7xpJxnG30+pmMHfJciSOkV/pDRcTsoRyHqp7yo7KcVpODlpnoPdhsy4qthJy5OC56hiKtI6h0jOwYZLHyn7SrgYfTpPj0Dvwk6BC8fYs2BycN1GHkcVU0aQ0NjajYSGQ0IGCp6UAfBWbD+SxxY6OUc4T6OanUPql91IxGKKdLNyRwrHqT0j2SlrQ9iAagVaHPHO57LeMxR2GxNF5mMxZTApO49VORr66QQj3j/Q0yRGj2OwW0MeKaQuDyltAclity+AFBjHXM3HjVMGKd9GJY5dkJKFObTMymHXnzpyag4p8yUJl4lxeGSK/NJbGJnVGDZ0CbxZn09E9hLuO483dIsEtknOxWKqFinFg5Qckvj6/TRfV/jxSikiqlFzSi3cp9a82yonn9qTepo93BxRTDl1I5Uu3Mu99ufVbpxqxkbx980aJmVfcdoXD3+DzwN9/0hYHnpzBPKewYypDFVDR8ZrXjd7qIGUdU0/c0QxRf9lxbcvq3N4F1bh/vxASOmkKDykbX+RQtL+LyEDhU/QxdS///1vXHXVVUhPT4fL5cK7776reV0phVmzZiE9PR0JCQkYOHAgdu/erZmmoqICU6ZMQWpqKho3boxRo0bhyJEjumbEak7bcaR32r5O8Zl5Y0/py4Nkqdkeud2El6R22Ow2iWQJupg6ffo0unXrhhdeeMHn63PnzsW8efPwwgsvYPPmzXC73Rg6dCjKy8s90+Tm5mLFihUoKCjAhg0bcOrUKYwcORJVVVVBz4CknYfM4es3xGqe89dhsdEylxOWr5S2gzm0nHoTSV8/eG0VKTkcRekAQK1YscLz7+rqauV2u1V+fr7nubNnz6rk5GS1aNEipZRSJ0+eVDExMaqgoMAzzXfffacaNWqkVq1aFdDnlpaWKgBKZ/w6at4zlIeEDE7MUTtLQxkD+Ru9GaQsC+ZgjkjL0dDf1P6vpHmr/XdW5pCyPGoepaWlhuawmqFjpg4cOIDi4mLk5OR4nouLi0N2djY2btwIANi6dSvOnTunmSY9PR1ZWVmeabxVVFSgrKxM8zCanm8ySkiV78Qc3pc2136oBq7UkbI8iMJBytEYq3JI3d+l3HvPDFJySGBoMVVcXAwASEtL0zyflpbmea24uBixsbFo1qyZ32m85eXlITk52fNo27YtAKC0tNTI+GQz3JEjm5T1LyWHFHqKGn9/K2kZhzJ/ds9PDTPlaj5/41vqU980M2fORGlpqedx+PBhw7KSXIE0QN7jpsy4mkdKQ8gcxpHSoTg1Rzjny/uzGvq3VaTkIHMYWky53W4AqHOEqaSkxHO0yu12o7KyEidOnPA7jbe4uDgkJSVpHqQlpXiwssHwLqgkkNKAGpnDjCMP5Dz+Tr8b+V7+3r++0/96SWpfSA5Di6mMjAy43W4UFhZ6nqusrMT69evRr18/AEDPnj0RExOjmaaoqAi7du3yTGMn7Bwo0rAzofp4X2EbaGETSFta3zhJbpdkpaB/6PjUqVPYv3+/598HDhzA9u3b0bx5c7Rr1w65ubmYM2cOMjMzkZmZiTlz5iAxMRFjxowBACQnJ2PixImYPn06UlJS0Lx5c8yYMQNdunTBkCFDjJuzIEjZCaXkIKLIYdYXQl+/k2nml8+aoSJmfobd22h++TdP0MXUli1bMGjQIM+/p02bBgAYP348lixZgnvvvRdnzpzB3XffjRMnTqBPnz5YvXo1mjZt6vmbZ599FtHR0Rg9ejTOnDmDwYMHY8mSJYiKijJgloiI/JPSoUg5NW8kfzn8/eCv0cWP99hbq9a1mTmkr+tI5VJSWpYglJWVITk5GaWlpYaMn5IyRijUHEavwmBzmPWN0K7Lw8k57L6vMEdk5ACML9SkzJsTcgAwrP+Wgr/Np4MN61BTSCqkjMYcROYzqv3gT/jI59RbGrGYEkJKAyAlBxGZz8lfCM2aN7suM7vmtgsWU2QIFmFUHykNOXOQHqGsN67ryBDxxZTdiwApOypzaDEHkTFCaaPt3q6T/UR8MRUqdlJEJIGUwkFCDjNv1imBhGUMyLgYRhoWU+QITt5JpbB7Q240KTnsrr59t/avGlg5uNz7B9fthu2j+VhMBYgbo1zhuOmglaTkIGexW5sm4YhTKLeNocjAYipAZvyArvd7W80uObwbVWmXQ0tpQJlDiznsT9J+TlRb0HdAdxK7D2yU0iibnSPQ95eyPIjIeJLaXiJvPDIVAnba1mPDSmR/bEvNJ2UZS8lhFhZTREQRxqxfLDD7h4yd3iHXR8oXSCk5pGExRaJFcuNJdUlpyKVcGi5leZhFwv7v70eaGyIhO4UPiykSqb5voeHoQLx/8b0mS0MNpJTO0qk5QiUlh9MZuW9674Per1lRSAbaDlDkYTEVJKd2UtJySLoE2e73mCFyIl9X9HL/JKtEbDHFnU4mqXcw5vZCTiFl3wo2h/c+aFXxZKe2wK7r2o4itpgiueprrOzUkBGRPt5HqsMx0L0hgXx2JBQPpMViikQJ9DRfMOOYKLJJ2T6k5HCa+sZWEYULiykSyV+j6H0KUELjKSFDbVLySMlhNF+FvhXzKuUorZQcZvB1atHX8+HOYRUpOSRiMRUEKZ1DJOWww84r4dSDmaSsAyk5fJGczY78LU+n7mNkfxH9czL0Mykdga+r5pRSYT+ML3F5EDlJqPuxy+Xy+bfhLrK82yWJpBSeUnKYjcWUhaTvjBJ4F1UcH0F2JGVblZLDaP6KLCN5v7/3rRn8TUeRISJP87GIsR9f64zrkciZgi1IrDxiHSntUKTMZ6gispgiInNJ+XYuJQcFJ9iO28r7TUm8Lx6FH4spm5Gy00rJIYWU5SElB5lLylECKTnCwapxUpG0jO2MxVSA2EkRETu2yOE9DsrXbRG4PVANFlNEtYRy6N6MQltKI80c+kn5IubkHOGeN+m3bmCO8OPVfBFOSiclJUd9t2Jw+v2knIbryXxmnPqS0hYQBSPijkxJ2VGl5KC6Gvo1eq47IuuFq1huqGCMhC9ZbPMaFnHFFFEgGvpFeomNi5TGXEoOCj+nrfv6CqlIuoEwNYzFFAVNSoNpVo5AG7CGCi6iSCSlfdDLKfNB4cFiKgBSdiopOehnvL9MXVwe/2V1sW+2UHJYeVFHMAL9QWO2Af5F2nJhMUVUSzAdhNOPTEmZNzvmqOlIpHQo4Srs9K6rQIoY79esKFqlrFdfJGdzMhZTZDkpnWVDar6F1u4onXxbhFCYmT2Q5S2tiIk0Ri7/+t4jHPtIQ/Pg6+IUilwRVUxJ2eiZQ6Zgvomys7aO1Z1sINjJ6hfI8jNrP6zvfdkWkC8RVUwRhcIOjaWUjGbmaKjYlbIMIkFDP/objkLSiqNTNVf3RVKhHEnzqgeLKQqKlA5LSg4KL1/39ImkIwV26NiMzmj1+qxdqPuaN7PWiR3WNf0Xi6kGWL0j15CSI9JwudsL15dcetaN93hFK9jh9LKU7V9KjnDiz8kQeYnEhkCqQI4EuFwu09dZ7SNigXacUrYjKTkaUt+pQyvnwcqxW2QfPDJFVIvVjaKUb7hm3kPIDGYvN6uPikQ6f7+XSSQFi6kws3NnaQZJOdhI21O41xu3E2t4F1RcDyRJUMVUXl4eevfujaZNm6Jly5a45pprsG/fPs00SinMmjUL6enpSEhIwMCBA7F7927NNBUVFZgyZQpSU1PRuHFjjBo1CkeOHNE/N/WQ0mmTTHZumO2c3QhW7NvszMPLqmXNfoMCFVQxtX79ekyaNAmfffYZCgsLcf78eeTk5OD06dOeaebOnYt58+bhhRdewObNm+F2uzF06FCUl5d7psnNzcWKFStQUFCADRs24NSpUxg5ciSqqqqMmzMynJTOQ0oOonCS0rFbkcOqeY/0Ik5KDltQOpSUlCgAav369Uoppaqrq5Xb7Vb5+fmeac6ePauSk5PVokWLlFJKnTx5UsXExKiCggLPNN99951q1KiRWrVqVUCfW1paqgCo0tLSgLMCCPphBuaQmUMKKcvDjjmsEM48oawTKTmMfN9ws8sylpKjIaH033aga8xUaWkpAKB58+YAgAMHDqC4uBg5OTmeaeLi4pCdnY2NGzcCALZu3Ypz585ppklPT0dWVpZnGm8VFRUoKyvTPIiIpFJCjp5KyWEUFcTVlEZ+Zu3/9/WQQEqOSBVyMaWUwrRp0zBgwABkZWUBAIqLiwEAaWlpmmnT0tI8rxUXFyM2NhbNmjXzO423vLw8JCcnex5t27YNNTYRmcCMhjyUHxYON++OlkIT6Lq28hQj1y/VJ+RiavLkyfjiiy/wxhtv1HnN1696N7QT1DfNzJkzUVpa6nkcPnw41NgEOefBpeSQQsrtCLheAudrWbHTNVc4j075uqeZ94MICLGYmjJlClauXIm1a9eiTZs2nufdbjcA1DnCVFJS4jla5Xa7UVlZiRMnTvidxltcXBySkpI0Dzvijkf1YSdsL746Wl/Pk7GsXr7STu+RDEEVU0opTJ48GcuXL8eaNWuQkZGheT0jIwNutxuFhYWe5yorK7F+/Xr069cPANCzZ0/ExMRopikqKsKuXbs80xjN6p2PKFBsqMkXKW2YlBzh2D983Sg03J9rJSk57CKon5OZNGkSXn/9dfz9739H06ZNPUegkpOTkZCQAJfLhdzcXMyZMweZmZnIzMzEnDlzkJiYiDFjxnimnThxIqZPn46UlBQ0b94cM2bMQJcuXTBkyBDj5zBEUjoz5tCSkiMcrBhsS4HhejGOnZelGe0R93t7CqqYWrhwIQBg4MCBmucXL16MCRMmAADuvfdenDlzBnfffTdOnDiBPn36YPXq1WjatKln+meffRbR0dEYPXo0zpw5g8GDB2PJkiWIiorSNzdEDsOGNTC8g31dUpaHWeP6rJw/swelB7rfS1nHNaTlCSeXsuHcl5WVITk5GaWlpQGNn7LzwF7mMD+HZIFcuBHuz5SYwawc/tSXz8nLw4wcUubNW32/BxjuK/zs0A4EmiPY/tsu+Nt8REI11GBLaUCJIk24v9RxLKV8LKbCREonxRz2xEaUyFy126RArtTkPkm1BTVmyo7YaRMR6RcJbakd5rGmiDMzqx2WgzQ8MkUNkvINTEoOM/lrxCKpcZMyr1Juyighg1mkzFswR5ykZI6E9tBOHH9kKhRSNlIpOch89Z1iIGv5+kUHci477X+StkVJWazAI1NEwtmpcY8E4b6SLxROzmHVvPELD9WHxRSRxaRcGi4lRyik5CDSg0WafbGYCgMpOwhzEBGFjkU7+ePoYoqdNhERNSTQeziZ3adIKNbYb4aGA9DJFiQ0MmQ+KQ05c2iZkUPKvNXmr52pfQNds37Kpvb7+vsM3udKLhZTQknZUaTkIHNJ7NiIwsHXtu/d7tX+t5ltYjD7odW/T0haLKa8cOMkItLPzm2phB8ZttMXHDuva6M4eswUEVG4SOlQpOQwg5R5k5KD5GAxZTIp3y6YwzmkNOTMQeQ83J9C49hiip22c3DnJrKOk9tSKfPWUI5wtYH+crANbphjiymi+tilEY0kUpYFc5jPyfNmhnAuL1+fxcHuDWMxRRTh2LERUUPYTtSPxVQtUipv5ggPNg7kT6A3cSQKF26PsvHWCBFAStEgMUegN8Ez4zC3lOVBddl13UjpcKXkcDIpy1hKDqs5spjy1UFa0TjatUGOVLXvciyVlGzMoWVWjtrvG+ntidPXtdUiffvSy/Gn+VwuFzcSCkogd0QmZ5LSVtTksDqPk39Gxm45pOQl3xxfTFFopBQPVuUwu+GS0jAyh31I2ScpMnH7qx+LKSIiIhuxorCpGTfKoso3FlPCOHVDlXLkIdgfEiWSgtsjkVyOK6ZCbXCceqWWlBx2xeVHRPQztof+Oa6YIjKalAbEqUctQyVleUj5IubUHGa8p5R5k9K2hHrEXso+KAGLKZNxYyNvdmxAa2OHEn6SswXDKfNB5I3FlMns2HhIKQCldNpSlgdFHm57RPbAYoqIiIiCwkJfy1HFlJSjQMyhJSWHnbHhIiIzsH02hqOKKbtjh0n+sMEzl5Tly5/CMp+UeZOSI1R2z280FlNgEUPhI6UBYg57CHT5SGnDGvqxcDuzwzI247NqPs/7hp1SlocULKYoIti9ISctKQ25lBxOxmVsndo//m6HH4K3UrTVAcgcUooHu19BxxxaUnIQUXj4KqioLscUU1JWMosHMgrXReRix0XhEOzNOrld+sfTfERChGs8gpTG0O45zLwPmpXLxozPtvu6NpqUHMGya+5wYDFFppGy49khh79Bni6XS0x+Ch8elSSyF8ec5gsVGy2yipOvfIoENac96GdcFuaTsoyl5JDEEUempHQ8zEFG4PqzBykdipQcZpAyb1JykFyOKKaIzGB0AxrImChfhZSUhtzIHHoKRik5jOSdw6pcHC9lPuZwpqCKqYULF6Jr165ISkpCUlIS+vbti3/+85+e15VSmDVrFtLT05GQkICBAwdi9+7dmveoqKjAlClTkJqaisaNG2PUqFE4cuSIMXNDurDTdj4uDyIi4wVVTLVp0wb5+fnYsmULtmzZgiuuuAJXX321p2CaO3cu5s2bhxdeeAGbN2+G2+3G0KFDUV5e7nmP3NxcrFixAgUFBdiwYQNOnTqFkSNHoqqqytg5CwCLB/NIyWEnXGZERDaldGrWrJl65ZVXVHV1tXK73So/P9/z2tmzZ1VycrJatGiRUkqpkydPqpiYGFVQUOCZ5rvvvlONGjVSq1atCvgzS0tLFQBVWlqq1M+VSEgPI4WagTkiI4d3nmDymvH5Vi8P5oicHE6eN+YInnf/7RQhj5mqqqpCQUEBTp8+jb59++LAgQMoLi5GTk6OZ5q4uDhkZ2dj48aNAICtW7fi3LlzmmnS09ORlZXlmSZY/DZPduB9iwNf222kbMtS5pM5tDheynxOyKGEnNGRJuhbI+zcuRN9+/bF2bNn0aRJE6xYsQKdO3f2FENpaWma6dPS0vDtt98CAIqLixEbG4tmzZrVmaa4uNjvZ1ZUVKCiosLz77KysmBjUwSyU8MVjqxSloceUhpy5tAyI4eT5y0UUnKQb0Efmbrkkkuwfft2fPbZZ7jrrrswfvx47Nmzx/O6d4OtArj9fEPT5OXlITk52fNo27ZtsLEjgpTOUkoOqZTXjTkbmlYCKTmIiCQKupiKjY3FRRddhF69eiEvLw/dunXD888/D7fbDQB1jjCVlJR4jla53W5UVlbixIkTfqfxZebMmSgtLfU8Dh8+DABITk4ONr4pnFA8SOksIyGHlMvgiSjysL0xh+77TCmlUFFRgYyMDLjdbhQWFnpeq6ysxPr169GvXz8AQM+ePRETE6OZpqioCLt27fJM40tcXJzndgw1DyNySyAlB4VPzZHYSPypGCnzyxxaHC9lPik5yBxBjZn6wx/+gCuvvBJt27ZFeXk5CgoKsG7dOqxatQoulwu5ubmYM2cOMjMzkZmZiTlz5iAxMRFjxowB8PORpIkTJ2L69OlISUlB8+bNMWPGDHTp0gVDhgwxZQYjhZQdlTm0pAw0l7I8iIicKKhi6ocffsC4ceNQVFSE5ORkdO3aFatWrcLQoUMBAPfeey/OnDmDu+++GydOnECfPn2wevVqNG3a1PMezz77LKKjozF69GicOXMGgwcPxpIlSxAVFWXsnIUJOykiimQ8uh45uK79cykbLp2ysjLd46WMmm29xRRzMAdz2CcDcwSWw8nzxhz61PTfpaWlhgzZkYK/zUeOI6HBYA7jcxARScViSgendFJOy0FEFIpgbltCoZFyFb7RIrKY4s5CRFaScpROSg4zhDJvNX9jZFElZRnzy665IrKYIucKtcEwuqFwSgNqFOaIHHZfxnbPT9ZgMRUiKTsccxCFj5Rv507OIWHeJLVnEpaHUSQtV6OxmKKIV3MTTUmNlpQszGE8KR2KlBxmkDJvzBE5WExZRErn4KQcoTQYNZ/r/d9w5zADc2hJyeFkXMYUqSKumGJnaTwpOYgofKR8EXMyKf0V13XDIq6YIiKyipQvHlJymEHKvEnJQeHBYsqmpOyods9hdH67Lw+jMYfxpB4l4DKm+jhp+/CFxVSQnL5BRBqJjaaUTMyhpTeHlLZDSg5fpKxrvaQsY+YIHxZTEUxKw8VOyljMoSUlh5NJWcZSclDkiahiSkqnLSWHXlJyEFF4Sfki5mRSlrFT+iuzRVQxRUSRRUpD7uQvYlzG5uTQS0qOSMFiymak7CDMocUcWlI6NqNIyeFkXMZkZyymAiSlkyLjSGy8pWSSkkMPKfusk3M4ed5CwRxaUnKEQ8QUU1I6ByfkMHIHkZJDD+bQkpKDzCGlDXMyKctYSg47iJhiSg8pnYOUHET+SNlGnVjwS8khDZexFnNYg8WUTUjZMJ2Sw6hvXE5ZHhLxW7FsUooYIglYTDXAiZ0UyRRqh2L0NiolR6iYQ4tjpczHHFpScoRTRBRTUjoH5pCTo+Y99LxXJDYYFNl4BMl8UpaxlH7CLiKimCL9pOwgRl9yb/cGgzm0nFTwS8xhxntKmTcpOUIlJUekYjHlh5QNU0oOp5KyfO3+bdRooeSQsi6dnMPJ8xYK5tCSksMKLKZ8kLJBmJFDSifFHPoxBxGRDI4vpuz8TZv+S0qHzRxazKHFHOaTMm9O/nInJYedOL6YCpaUDYI5yB8p68SsHME25MwRnhxmkDJvUnIEiznkYDFVi5QNwuk5JDRcobynlOVhFik5guH0fSVYUnKYQcq8MYeWlBxWc3QxFUznYOYGwRyhYw4t5iB/uE7MJ2UZs5+Qx9HFVKCkbBDMocUcWpHQgDJH6DnshstYK9AckdAe2VHEF1NmbxBSdhDmCC1HzbRmNbhSlkegmEOLOcwnZd4k5JCQAZCTQ5JoqwOYJZBOSsoGwRxazKHFHFqRksNuhbYZImUZS+mvpOSwI8cWUw2RskEwh1Yk5ZDScDWUI1zrhDmCIyVHKLiMg8Mc8jnyNJ+UHZU5mEMPCTkkZACYw5uUHGaQMm/MoSUlh1QRd2RKygYhIYeEDABzeAtnjvoKS+ZgDjNImTfmkJnDriKmmAr3xuBvw2QO5vCXQ0qDxRxazGE+KfPGHFpSctiB44op705KysbAHFqRnENKIcUczBFsjtpCySR53pjD+hx25qhiSkohxRz+c1i5g0rJURtzaEV6Don7rJ5p6sN1LXNdS1kvduOoYgqwfkOo2TCtzlHD6hxSlgdzMIcdctSQksMMVs8b17VvUnLYlaOKKQkbg4QMNSRkkZABYA5vzKHFHP9lxg1qJcxXDSlZmMNZHFVMERFR6IwspNhJUyRhMUVERIYUUiygKFLpumlnXl4eXC4XcnNzPc8ppTBr1iykp6cjISEBAwcOxO7duzV/V1FRgSlTpiA1NRWNGzfGqFGjcOTIET1RiIgoRKEUUi6Xq86DKFKFXExt3rwZL7/8Mrp27ap5fu7cuZg3bx5eeOEFbN68GW63G0OHDkV5eblnmtzcXKxYsQIFBQXYsGEDTp06hZEjR6Kqqir0OSEioqA1dLNGfw8iqkWFoLy8XGVmZqrCwkKVnZ2tpk6dqpRSqrq6WrndbpWfn++Z9uzZsyo5OVktWrRIKaXUyZMnVUxMjCooKPBM891336lGjRqpVatWBfT5paWlCgAffPDBBx988GHDR2lpaSjlh1ghHZmaNGkSRowYgSFDhmieP3DgAIqLi5GTk+N5Li4uDtnZ2di4cSMAYOvWrTh37pxmmvT0dGRlZXmm8VZRUYGysjLNg4iIiEiCoAegFxQUYNu2bdi8eXOd14qLiwEAaWlpmufT0tLw7bffeqaJjY1Fs2bN6kxT8/fe8vLy8OijjwYblYiIiMh0QR2ZOnz4MKZOnYply5YhPj7e73Te59OVUg2eY69vmpkzZ6K0tNTzOHz4cDCxiYiIiEwTVDG1detWlJSUoGfPnoiOjkZ0dDTWr1+PP/7xj4iOjvYckfI+wlRSUuJ5ze12o7KyEidOnPA7jbe4uDgkJSV5Hk2bNg0mNhEREQmiTLg5rJWCKqYGDx6MnTt3Yvv27Z5Hr169MHbsWGzfvh0XXHAB3G43CgsLPX9TWVmJ9evXo1+/fgCAnj17IiYmRjNNUVERdu3a5ZmmIbWvDCQiIiJ7cVo/HtSYqaZNmyIrK0vzXOPGjZGSkuJ5Pjc3F3PmzEFmZiYyMzMxZ84cJCYmYsyYMQCA5ORkTJw4EdOnT0dKSgqaN2+OGTNmoEuXLnUGtPuTnp6OPXv2oHPnzjh8+DCSkpKCmQ0yWVlZGdq2bct1IwzXi1xcN3Jx3RhLKYXy8nKkp6dbHcVQht8B/d5778WZM2dw991348SJE+jTpw9Wr16tOTX37LPPIjo6GqNHj8aZM2cwePBgLFmyBFFRUQF9RqNGjdC6dWsA8Jz6I3m4bmTiepGL60YurhvjJCcnWx3BcC5l0xOXZWVlSE5ORmlpKTdwYbhuZOJ6kYvrRi6uGwqErp+TISIiIop0ti2m4uLi8MgjjyAuLs7qKOSF60Ymrhe5uG7k4rqhQNj2NB8RERGRBLY9MkVEREQkAYspIiIiIh1YTBERERHpwGKKiIiISAdbFlMLFixARkYG4uPj0bNnT3z88cdWR3K0vLw89O7dG02bNkXLli1xzTXXYN++fZpplFKYNWsW0tPTkZCQgIEDB2L37t2aaSoqKjBlyhSkpqaicePGGDVqFI4cORLOWXG8vLw8uFwu5Obmep7jurHOd999h1tuuQUpKSlITExE9+7dsXXrVs/rXDfWOH/+PB588EFkZGQgISEBF1xwAWbPno3q6mrPNFw3FBRlMwUFBSomJkb96U9/Unv27FFTp05VjRs3Vt9++63V0Rxr2LBhavHixWrXrl1q+/btasSIEapdu3bq1KlTnmny8/NV06ZN1TvvvKN27typbrzxRtWqVStVVlbmmebOO+9UrVu3VoWFhWrbtm1q0KBBqlu3bur8+fNWzJbjfP7556pDhw6qa9euaurUqZ7nuW6scfz4cdW+fXs1YcIEtWnTJnXgwAH14Ycfqv3793um4bqxxuOPP65SUlLU+++/rw4cOKDefvtt1aRJE/Xcc895puG6oWDYrpi67LLL1J133ql5rmPHjur++++3KFHkKSkpUQDU+vXrlVJKVVdXK7fbrfLz8z3TnD17ViUnJ6tFixYppZQ6efKkiomJUQUFBZ5pvvvuO9WoUSO1atWq8M6AA5WXl6vMzExVWFiosrOzPcUU14117rvvPjVgwAC/r3PdWGfEiBHqtttu0zx33XXXqVtuuUUpxXVDwbPVab7Kykps3boVOTk5mudzcnKwceNGi1JFntLSUgBA8+bNAQAHDhxAcXGxZr3ExcUhOzvbs162bt2Kc+fOaaZJT09HVlYW150BJk2ahBEjRtT5sXCuG+usXLkSvXr1wv/8z/+gZcuW6NGjB/70pz95Xue6sc6AAQPw0Ucf4auvvgIA7NixAxs2bMDw4cMBcN1Q8Az/oWMz/fjjj6iqqkJaWprm+bS0NBQXF1uUKrIopTBt2jQMGDAAWVlZAOBZ9r7Wy7fffuuZJjY2Fs2aNaszDdedPgUFBdi2bRs2b95c5zWuG+t88803WLhwIaZNm4Y//OEP+Pzzz/G73/0OcXFx+O1vf8t1Y6H77rsPpaWl6NixI6KiolBVVYUnnngCN998MwDuNxQ8WxVTNVwul+bfSqk6z5E5Jk+ejC+++AIbNmyo81oo64XrTp/Dhw9j6tSpWL16NeLj4/1Ox3UTftXV1ejVqxfmzJkDAOjRowd2796NhQsX4re//a1nOq6b8HvzzTexbNkyvP766/jlL3+J7du3Izc3F+np6Rg/frxnOq4bCpStTvOlpqYiKiqqTtVfUlJS5xsEGW/KlClYuXIl1q5dizZt2nied7vdAFDvenG73aisrMSJEyf8TkPB27p1K0pKStCzZ09ER0cjOjoa69evxx//+EdER0d7li3XTfi1atUKnTt31jzXqVMnHDp0CAD3Gyvdc889uP/++3HTTTehS5cuGDduHH7/+98jLy8PANcNBc9WxVRsbCx69uyJwsJCzfOFhYXo16+fRamcTymFyZMnY/ny5VizZg0yMjI0r2dkZMDtdmvWS2VlJdavX+9ZLz179kRMTIxmmqKiIuzatYvrTofBgwdj586d2L59u+fRq1cvjB07Ftu3b8cFF1zAdWOR/v3717mFyFdffYX27dsD4H5jpZ9++gmNGmm7v6ioKM+tEbhuKGgWDXwPWc2tEf785z+rPXv2qNzcXNW4cWN18OBBq6M51l133aWSk5PVunXrVFFRkefx008/eabJz89XycnJavny5Wrnzp3q5ptv9nkZcZs2bdSHH36otm3bpq644gpeRmyC2lfzKcV1Y5XPP/9cRUdHqyeeeEJ9/fXX6rXXXlOJiYlq2bJlnmm4bqwxfvx41bp1a8+tEZYvX65SU1PVvffe65mG64aCYbtiSimlXnzxRdW+fXsVGxurLr30Us8l+mQOAD4fixcv9kxTXV2tHnnkEeV2u1VcXJz69a9/rXbu3Kl5nzNnzqjJkyer5s2bq4SEBDVy5Eh16NChMM+N83kXU1w31nnvvfdUVlaWiouLUx07dlQvv/yy5nWuG2uUlZWpqVOnqnbt2qn4+Hh1wQUXqAceeEBVVFR4puG6oWC4lFLKyiNjRERERHZmqzFTRERERNKwmCIiIiLSgcUUERERkQ4spoiIiIh0YDFFREREpAOLKSIiIiIdWEwRERER6cBiioiIiEgHFlNEREREOrCYIiIiItKBxRQRERGRDiymiIiIiHRgMUVERESkA4spIiIiIh1YTBERERHpwGKKiIiISAcWU0REREQ6sJgiIiIi0oHFFBEREZEOLKaIiIiIdGAxRURERKQDiykiIiIiHVhMEREREenAYoqIiIhIBxZTRERERDqwmCIiIiLSgcUUERERkQ4spoiIiIh0YDFFREREpAOLKSIiIiIdWEwRERER6cBiioiIiEiHaKsDhOrs2bOorKy0OgYREREFITY2FvHx8VbHMJQti6mzZ88iISHB6hhEREQUJLfbjQMHDjiqoLJlMcUjUkTOVlpaanUEIjJBWVkZ2rZti8rKShZTRERmSkpKsjoCEVHAOACdiIiISAcWU0REREQ6sJgiIiIi0oHFFBEREZEOLKaIiIiIdGAxRURERKQDiykiIiIiHVhMEREREenAYoqIiIhIBxZTRERERDqwmCIiIiLSgcUUERERkQ4spoiIiIh0YDFFREREpAOLKSIiIiIdWEwRERER6cBiioiIiEgHFlNEREREOrCYIiIiItKBxRQRERGRDiymiIiIiHSItjoAEZG3srIyqyMQkQmcum/bsphSSqFJkyY4deqU1VGIyATJyclWRyAikzRp0gRKKatjGMqWxZTL5cKpU6dw+PBhJCUlWR2HiIiIAlBWVoa2bdvC5XJZHcVQtiymaiQlJbGYIiIiIktxADoRERGRDiymiIiIiHSwZTEVFxeHRx55BHFxcVZHISIiogA5tf92KacNqSciIiIKI1semSIiIiKSgsUUERERkQ4spoiIiIh0cFwxNWvWLHTv3t3qGERERKIMHDgQubm5VsdwJFOKqQkTJsDlciE/P1/z/Lvvvqv7rqdLliyBy+Wq83jllVd0vS8REZGd1fS93o/9+/eHNUeHDh08n52YmIisrCy89NJLYc0QiiVLluAXv/hFSH9r2pGp+Ph4PPnkkzhx4oTh752UlISioiLNY+zYsYZ/DhERkZ385je/qdM/ZmRkhD3H7NmzUVRUhC+++ALXXHMN7rzzTrz55ps+p62srAxzOuOZVkwNGTIEbrcbeXl59U73zjvv4Je//CXi4uLQoUMHPPPMMw2+t8vlgtvt1jwSEhJ8Trt582YMHToUqampSE5ORnZ2NrZt26aZ5ssvv8SAAQMQHx+Pzp0748MPP4TL5cK7774b8PwSERFZLS4urk7/GBUV5XPaZcuWoVevXmjatCncbjfGjBmDkpISzTQrV65EZmYmEhISMGjQICxduhQulwsnT56sN0fNe1500UV4/PHHkZmZ6elTBw4ciMmTJ2PatGlITU3F0KFDAQB79uzB8OHD0aRJE6SlpWHcuHH48ccfPe/5t7/9DV26dEFCQgJSUlIwZMgQnD592vP64sWL0alTJ8THx6Njx45YsGCB57WDBw/C5XJh+fLlGDRoEBITE9GtWzd8+umnAIB169bh1ltvRWlpqeeo2qxZswJd7OYVU1FRUZgzZw7mz5+PI0eO+Jxm69atGD16NG666Sbs3LkTs2bNwkMPPYQlS5YYlqO8vBzjx4/Hxx9/jM8++wyZmZkYPnw4ysvLAQDV1dW45pprkJiYiE2bNuHll1/GAw88YNjnExERSVRZWYnHHnsMO3bswLvvvosDBw5gwoQJntcPHjyIG264Addccw22b9+OO+64I+T+MT4+HufOnfP8e+nSpYiOjsYnn3yCl156CUVFRcjOzkb37t2xZcsWrFq1Cj/88ANGjx4NACgqKsLNN9+M2267DXv37sW6detw3XXXoeZWmX/605/wwAMP4IknnsDevXsxZ84cPPTQQ1i6dKkmxwMPPIAZM2Zg+/btuPjii3HzzTfj/Pnz6NevH5577jnNma8ZM2YEPoPKBOPHj1dXX321UkqpX/3qV+q2225TSim1YsUKVfsjx4wZo4YOHar523vuuUd17tzZ73svXrxYAVCNGzf2PNLS0jyvP/LII6pbt25+//78+fOqadOm6r333lNKKfXPf/5TRUdHq6KiIs80hYWFCoBasWJFoLNMRERkqfHjx6uoqChN/3jDDTd4Xs/OzlZTp071+/eff/65AqDKy8uVUkrdd999KisrSzPNAw88oACoEydO+H2f9u3bq2effVYppdS5c+c8/faCBQs8Obp37675m4ceekjl5ORonjt8+LACoPbt26e2bt2qAKiDBw/6/My2bduq119/XfPcY489pvr27auUUurAgQMKgHrllVc8r+/evVsBUHv37lVK/VxfJCcn+52v+kSHVGIG4cknn8QVV1yB6dOn13lt7969uPrqqzXP9e/fH8899xyqqqr8Hpps2rSp5lRdo0b+D7CVlJTg4Ycfxpo1a/DDDz+gqqoKP/30Ew4dOgQA2LdvH9q2bQu32+35m8suuyyoeSQiIpJg0KBBWLhwoeffjRs39jvtf/7zH8yaNQvbt2/H8ePHUV1dDQA4dOgQOnfujH379qF3796avwm0f7zvvvvw4IMPoqKiArGxsbjnnntwxx13eF7v1auXZvqtW7di7dq1aNKkSZ33+n//7/8hJycHgwcPRpcuXTBs2DDk5OTghhtuQLNmzXD06FEcPnwYEydOxP/+7/96/u78+fNITk7WvFfXrl09/9+qVSsAP9cJHTt2DGi+/DG9mPr1r3+NYcOG4Q9/+IPm8CEAKKXqXN2nAvh1m0aNGuGiiy4K6PMnTJiAo0eP4rnnnkP79u0RFxeHvn37ega8+cpARERkR40bNw6ofzx9+jRycnKQk5ODZcuWoUWLFjh06BCGDRtWb/8YSB8NAPfccw8mTJiAxMREtGrVqs77eBd51dXVuOqqq/Dkk0/Wea9WrVohKioKhYWF2LhxI1avXo358+fjgQcewKZNm5CYmAjg51N9ffr00fyt90GZmJgYz//XZKopIvUwvZgCgPz8fHTv3h0XX3yx5vnOnTtjw4YNmuc2btyIiy++2O9RqWB9/PHHWLBgAYYPHw4AOHz4sGZAW8eOHXHo0CH88MMPSEtLA/DzoHUiIiKn+vLLL/Hjjz8iPz8fbdu2BQBs2bJFM03Hjh3xj3/8Q/Oc9zT+pKamBnzQAwAuvfRSvPPOO+jQoQOio32XJi6XC/3790f//v3x8MMPo3379lixYgWmTZuG1q1b45tvvtF1ZX9sbCyqqqpC+tuw3LSzS5cuGDt2LObPn695fvr06fjoo4/w2GOP4auvvsLSpUvxwgsvBDfoqwEXXXQR/vrXv2Lv3r3YtGkTxo4dq7nyb+jQobjwwgsxfvx4fPHFF/jkk088A+x4xIqIiJyoXbt2iI2Nxfz58/HNN99g5cqVeOyxxzTT3HHHHfjyyy9x33334auvvsJbb73luUDM6P5x0qRJOH78OG6++WZ8/vnn+Oabb7B69WrcdtttqKqqwqZNmzBnzhxs2bIFhw4dwvLly3H06FF06tQJwM837M7Ly8Pzzz+Pr776Cjt37sTixYsxb968gDN06NABp06dwkcffYQff/wRP/30U8B/G7Y7oD/22GN1Dg9eeumleOutt1BQUICsrCw8/PDDmD17dp3TgXq8+uqrOHHiBHr06IFx48bhd7/7HVq2bOl5PSoqCu+++y5OnTqF3r174/bbb8eDDz4I4OerD4iIiJymRYsWWLJkCd5++2107twZ+fn5ePrppzXTZGRk4G9/+xuWL1+Orl27YuHChZ6DDXFxcYbmSU9PxyeffIKqqioMGzYMWVlZmDp1KpKTk9GoUSMkJSXh3//+N4YPH46LL74YDz74IJ555hlceeWVAIDbb78dr7zyCpYsWYIuXbogOzsbS5YsCeoeW/369cOdd96JG2+8ES1atMDcuXMD/luXCvQEaAT55JNPMGDAAOzfvx8XXnih1XGIiIhEeOKJJ7Bo0SIcPnzY6iiihGXMlHQrVqxAkyZNkJmZif3792Pq1Kno378/CykiIopoCxYsQO/evZGSkoJPPvkETz31FCZPnmx1LHFYTOHnG3vee++9OHz4MFJTUzFkyJCA7sRORETkZF9//TUef/xxHD9+HO3atcP06dMxc+ZMq2OJw9N8RERERDqEbQA6ERERkROxmCIiIiLSgcUUERERkQ4spoiIiIh0YDFFREREpAOLKSIiIiIdWEwRERER6cBiioiIiEgHFlNEREREOvx/I7vSWnlZvSgAAAAASUVORK5CYII=\n", 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\n", 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              " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "for i in np.arange(0,12):\n", - " fig, ax = plt.subplots()\n", - " cax = ax.imshow((surf_flag_L3_P>>i)&1, cmap=plt.cm.get_cmap('bone', 2))\n", - " ax.set_title(surf_flags[i])\n", - " cbar = fig.colorbar(cax, ticks=[0, 1], orientation='horizontal')\n", - " cbar.ax.set_xticklabels(['No Flag', 'Flag Present']) # horizontal colorbar\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e544f7dc-15b4-473a-b09a-043b13a94b97", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.15" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From af8d785e90c73d4f7a46a36bbe89562ba31a4642 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 24 Sep 2025 16:47:08 -0600 Subject: [PATCH 28/31] move issues notebooks to local dir --- .../SMAP/smap_issues_and_solutions.ipynb | 960 ------------------ notebooks/SMAP/smap_rasterio_issues.ipynb | 266 ----- 2 files changed, 1226 deletions(-) delete mode 100644 notebooks/SMAP/smap_issues_and_solutions.ipynb delete mode 100644 notebooks/SMAP/smap_rasterio_issues.ipynb diff --git a/notebooks/SMAP/smap_issues_and_solutions.ipynb b/notebooks/SMAP/smap_issues_and_solutions.ipynb deleted file mode 100644 index ce50771..0000000 --- a/notebooks/SMAP/smap_issues_and_solutions.ipynb +++ /dev/null @@ -1,960 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "91ebd94c-fb02-42a7-9cfe-b02a0da5967a", - "metadata": {}, - "source": [ - "# Read and plot SMAP data\n", - "\n", - "## Overview\n", - "\n", - "This has become an overly long notebook. It was started to demonstrate some more _pythonistic_ streamlined workflows than we show in the SMAP tutorials for accessing, loading and plotting SMAP L3 data. However, what should have been a short and simple demonstration of workflows became an exploration of the shortcomings of the L3 SMAP HDF5 files and workarounds to deal with them. What follows is a hybrid of a tutorial, critique and suggested improvements. I summarize the problems with the data set in this overview section. Please see the code and plots below for examples.\n", - "\n", - "The tutorials use the SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 8 (SPL3SMP, DOI:10.5067/OMHVSRGFX38O).\n", - "\n", - "[Data set landing page](https://nsidc.org/data/spl3smp/versions/8) \n", - "[User Guide](https://nsidc.org/sites/default/files/spl3smp-v008-userguide.pdf)\n", - "\n", - "### Problems with the L3 SMAP Data\n", - "\n", - "This list is not exhaustive. It is informed by trying to describe workflows to open, read and plot the data contained in the files using current, standard tools in the geospatial python stack. I suspect that the same problems and frustrations would be encountered if other software tools and programming languages were used.\n", - "\n", - "The critique is also inspired by the belief that self-desribing file formats, conventions such as CF and COARDS, along with software tools designed to take advantage of these file formats and conventions, are there to make the working with data simple, allow scientists to start analysis sooner. Ad-hoc file structures and incomplete (or inaccurate) metadata _\"break\"_ these tools, workflows. Often the _forensic investigations_ required to track down the necessary information to \"fix\" problems introduced by non-conforming files is time consuming. The following quote from the CF Conventions makes this point well.\n", - "\n", - ">The purpose of the CF conventions is to require conforming datasets to contain sufficient metadata that they are self-describing in the sense that each variable in the file has an associated description of what it represents, including physical units if appropriate, and that each value can be located in space (relative to earth-based coordinates) and time.\n", - ">\n", - ">An important benefit of a convention is that it enables software tools to display data and perform operations on specified subsets of the data with minimal user intervention. It is possible to provide the metadata describing how a field is located in time and space in many different ways that a human would immediately recognize as equivalent. The purpose in restricting how the metadata is represented is to make it practical to write software that allows a machine to parse that metadata and to automatically associate each data value with its location in time and space. It is equally important that the metadata be easy for human users to write and to understand.\n", - "\n", - "1. **The HDF5 files do not contain sufficient information for the data to be geolocatable**. The data are in a projected coordinate reference system (CRS) - EASE-Grid 2.0 - on a 406 x 964 grid with a 36 km grid cell height and width. Although `latitude` and `longitude` 2D grids are included as Datasets, these grids are masked, so that coordinates are not available for all grid cells. Coordinate grids **should not** have missing values. Furthermore, standard tools in the Geoscience stack, such as `xarray`, do not allow coordinate variables to have missing data in accordance with conventions such as CF and COARDS.\n", - "2. The data have a projected CRS, the projected coordinates should be included in the file. These would be vectors containing `x` and `y` in meters.\n", - "3. There are no named dimensions. Standard tools (and humans) have no way to associate dimension variables (dimension scales in HDF5 terms) with data variables.\n", - "4. There is no information about the CRS contained in the file. It may be in the xml but modern tools expect to find it as a variable. It should be included at least as a WKT string and an EPSG code.\n", - "5. The names of Datasets have an inconsistent naming convention. Datasets in the `Soil_Moisture_Retrieval_Data_PM` Group have the suffix `_pm`. Datasets in the `Soil_Moisture_Retrieval_Data_AM` group do not. This makes programmatic workflows more complicated because users have to \"code around\" the differences in file names. For example: `if spass == 'PM': filename = f\"{variable}_{spass.lower()} \\\\ else: filename = variable` instead of `filename = f\"{variable}_{spass.lower()}\"`.\n", - "6. Some of the attribute data is incorrect. See the `landcover_class` for an example. The `long_name` attribute is used to describe the dimensions. This is the wrong place to describe this. `long_name` should be reserved for the name of the variables. If named dimensions had been created there would be no need to describe the dimensions. Moreover, dimensions are listed as longitude, latitude and IGBP land cover type. Longitude and latitude cannot be dimensions. The data arrays are in projected coordinates. Longitude and latitude are 2D arrays and, therefore, it is impossible to assign them as dimensions, which by definition, are 1D vectors. The dimensions should be x and y or easting and northing. \n", - " \n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b35a4034-033a-419c-97a1-fb3a4234e799", - "metadata": {}, - "outputs": [], - "source": [ - "from pathlib import Path\n", - "\n", - "import earthaccess\n", - "import h5py\n", - "import rioxarray\n", - "import xarray as xr\n", - "import numpy as np\n", - "\n", - "from affine import Affine\n", - "from pyproj import CRS\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import cartopy.crs as ccrs\n", - "import cartopy.feature as cfeature\n", - "\n", - "from pprint import pprint" - ] - }, - { - "cell_type": "markdown", - "id": "58a65b4d-42a7-49b7-807f-150daf3928e5", - "metadata": {}, - "source": [ - "## Search for SMAP data\n", - "\n", - "We will use `earthaccess` to search for SMAP Level 3 files for March 2017. The first step is to authenticate using `earthaccess.login`. We can then use `search_data` to search for data." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "04c73ccc-c8dc-4dcb-84bf-962f8b0e6c84", - "metadata": {}, - "outputs": [], - "source": [ - "auth = earthaccess.login()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1b04c8b8-fe00-4452-9989-8a32012ed338", - "metadata": {}, - "outputs": [], - "source": [ - "results = earthaccess.search_data(\n", - " short_name = 'SPL3SMP',\n", - " version = '009',\n", - " cloud_hosted = False,\n", - " temporal = ('2017-03-01','2017-03-31')\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "dd8b84a6-6085-40a1-bebf-792ad2605549", - "metadata": {}, - "source": [ - "## Download files\n", - "\n", - "If you haven't already, we'll download the files to a local directory. This is defined in the `DOWNLOAD_PATH` constant. In this example, we'll use the `Path` object from the [`pathlib`](https://docs.python.org/3/library/pathlib.html) package to build a path to a directory `smap_data` under the current working directory. `Path` objects have methods to return the current working directory `.cwd()`, make directories `.mkdir()`, and search using globbing `.glob()`.\n", - "\n", - "
              \n", - "Tip: If you want to download files to a different directory change the cell below to \n", - "\n", - "```\n", - "DOWNLOAD_PATH = Path(\"path-to-download-directory\")\n", - "```\n", - "
              \n", - "\n", - "`earthaccess.download` checks if the files already exist in the local download directory." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b9f11521-54ff-4dd0-8823-cea9d8bba6d3", - "metadata": {}, - "outputs": [], - "source": [ - "#rm smap_data/*.h5" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4d7cb4e8-0854-4dfa-b2a0-28fffca94305", - "metadata": {}, - "outputs": [], - "source": [ - "DOWNLOAD_PATH = Path.cwd() / \"smap_data\"\n", - "DOWNLOAD_PATH.mkdir(parents=True, exist_ok=True) # creates parents if they don't exist and fails silently if path exists\n", - "\n", - "smap_files = earthaccess.download(results, str(DOWNLOAD_PATH))" - ] - }, - { - "cell_type": "markdown", - "id": "2696e5a4-92be-4860-a84b-7ea387ea25bf", - "metadata": {}, - "source": [ - "I then use `.glob('*.h5')` to get a list of SMAP files in the `DOWNLOAD_PATH`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a474c513-0473-43eb-b2d1-f386c52272b5", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "smap_files = list(DOWNLOAD_PATH.glob('*.h5')) # .glob() returns a generator list() turn it into a list \n", - "smap_files" - ] - }, - { - "cell_type": "markdown", - "id": "4f49af27-5890-4b0e-807c-d7394594d008", - "metadata": {}, - "source": [ - "## Read data from HDF5 file using `h5py`\n", - "\n", - "HDF5 files are hierarchical data structures that consist of _Groups_ and _Datasets_. Groups contain sub-groups and Datasets. Datasets are equivalent to Variables in NetCDF files. Both Groups and Datasets can have attributes. Datasets are multidimensional arrays similar to numpy arrays and have `shape`, `ndim`, `dtype` attributes the same as numpy arrays.\n", - "\n", - "The best way to explore an HDF5 file is to use a \"viewer\". [MyHDF5](https://myhdf5.hdfgroup.org/) is one such tool. You can upload a file from your local machine or point to a URL for a file." - ] - }, - { - "cell_type": "markdown", - "id": "83ea9670-0d39-4ab2-bc10-bcfb2d05fa46", - "metadata": {}, - "source": [ - "We open an HDF5 file using `h5py.File`, which returns a file object. This file object is also the _root_ group for the file. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2113e065-5aa3-4a9f-a537-170cd92e69ec", - "metadata": {}, - "outputs": [], - "source": [ - "root = h5py.File(smap_files[0], 'r')\n", - "root" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f16419b2-304b-4d38-978c-e47ba23d9c31", - "metadata": {}, - "outputs": [], - "source": [ - "root.keys()" - ] - }, - { - "cell_type": "markdown", - "id": "ce4f263a-0233-42e4-a904-658c94a7cb07", - "metadata": {}, - "source": [ - "_Add examples of accessing Groups by path, accessing attributes and data arrays, as well as dimensions_\n", - "\n", - "A HDF5 `Dataset` can be accessed using a similar syntax to how you would access a file on your hard drive. For example we can access the `soil_moisture` data set for the AM pass with the following command. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bf41372e-df90-4a42-adf4-ebab4b210909", - "metadata": {}, - "outputs": [], - "source": [ - "root['Soil_Moisture_Retrieval_Data_AM/soil_moisture']" - ] - }, - { - "cell_type": "markdown", - "id": "8a4b57b9-593e-4634-9c85-91fd150e4c72", - "metadata": {}, - "source": [ - "We can see that this is a data array with shape 406 x 964 containing 32 bit floating point numbers (`\n", - "Tip: The non-numerical data attributes are byte strings, these can be converted to strings using `decode`\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "adc57f9e-6f08-460f-b15b-eadfde6d3d74", - "metadata": {}, - "outputs": [], - "source": [ - "for key, value in root['Soil_Moisture_Retrieval_Data_AM/soil_moisture'].attrs.items():\n", - " print(f\"{key}: {value}\")" - ] - }, - { - "cell_type": "markdown", - "id": "1c6b8ff0-e329-4505-a8e1-3e607a9887ea", - "metadata": {}, - "source": [ - "## _Optional_: An alternative way to access Groups and Datasets\n", - "\n", - "An alternative way to list `Groups` and `Datasets` in the file is to use the `visit` and `visititems` methods. Both these methods iterate over the objects in a file. They take a function name as an argument. `visit` takes a function with the form:\n", - "\n", - "```\n", - "myfunc()\n", - "```\n", - "\n", - "This function can be used to return a list of all Groups and Datasets in the file. In the example below we create an empty list and then pass the `list.append` method, which is a function, to visit." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "91d27b73-0d8b-4ebe-baed-c3c5324836ec", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "with h5py.File(smap_files[0], 'r') as root:\n", - " list_of_names = []\n", - " root.visit(list_of_names.append)\n", - "list_of_names" - ] - }, - { - "cell_type": "markdown", - "id": "5e44f69e-1dd6-44eb-9aaf-744aeb888f76", - "metadata": {}, - "source": [ - "We can also write a function to look for members with albedo in the name. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "147e1bd7-07ee-4609-9943-cec5ca527a93", - "metadata": {}, - "outputs": [], - "source": [ - "with h5py.File(smap_files[0], 'r') as root:\n", - " soil_moisture = root['Soil_Moisture_Retrieval_Data_AM/soil_moisture'][:]\n", - "soil_moisture" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "06263ffa-d2fb-4e12-86d3-e2cfff25677e", - "metadata": {}, - "outputs": [], - "source": [ - "list_of_names = []\n", - "def get_albedo(name):\n", - " if 'albedo' in name.lower():\n", - " list_of_names.append(name)\n", - "\n", - "root.visit(get_albedo)\n", - "list_of_names" - ] - }, - { - "cell_type": "markdown", - "id": "17dc5739-e32f-42e0-af28-55e66bf6eebe", - "metadata": {}, - "source": [ - "`visititems` not only takes a function with the member name but also the actual Group or Dataset object.\n", - "\n", - "```\n", - "myfunc(name, obj)\n", - "```\n", - "\n", - "we can use this to get particular variables or do some form of processing based on whether the object is a Group or a Dataset.\n", - "\n", - "In the example below, we will extract the data arrays for albedo variables for the AM pass. I first look for `AM` in the name and then check if the name contains `albedo` as in the `visit` example above. I only want `Datasets`. `Groups` do not contain data arrays. To do this, I use the `isinstance` function that is part of the standard library. `isinstance` take `obj` as an argument and checks to see if it is of the type `h5py.Dataset`.\n", - "\n", - "If all three of these conditions are `True`, I then want to write the variables to a dictionary. I want to use the name of the `Dataset` as the key for each data array. I can split the `name` string on the `/` character and take the last element of the list that is returned. To assign the data array and not the `Dataset` object, I use the `[:]` syntax. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c17e3b4f-5283-4d1d-96e1-965a623e361c", - "metadata": {}, - "outputs": [], - "source": [ - "dict_of_vars = {}\n", - "def get_vars(name, obj):\n", - " if ('AM' in name) & ('albedo' in name) & isinstance(obj, h5py.Dataset):\n", - " dict_of_vars[name.split('/')[-1]] = obj[:]\n", - "\n", - "root.visititems(get_vars)\n", - "dict_of_vars" - ] - }, - { - "cell_type": "markdown", - "id": "084a4e87-ad0b-4379-af68-bfd8faf5f9bc", - "metadata": {}, - "source": [ - "The `h5py.File` opens the file. The file needs to be closed, otherwise it remains in memory. If you are reading multiple files, this could lead to memory problems." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ded43124-14cc-4be6-b690-be4f7f3bcceb", - "metadata": {}, - "outputs": [], - "source": [ - "root.close()" - ] - }, - { - "cell_type": "markdown", - "id": "1304aa23-5196-4c6b-b92d-d2ed050f3fe0", - "metadata": {}, - "source": [ - "## Creating a georeferenced `xarray.Dataset` for a subset of variables from an HDF5 SMAP file\n", - "\n", - "Fully georeferenced data sets are required for Earth science analysis workflows. This may be as simple as plotting a map. You may want to transform the data so it can be used with another data set, or you may want to perform some geospatial subsetting.\n", - "\n", - "Unfortunately, the SMAP HDF5 files do not contain sufficient information to geolocate data on the Earth surface. This is is the case both for using the data with software tools to display or manipulate the data, and for humans trying to understand the data. The following example shows:\n", - "\n", - "1. how to read a subset of `Datasets` (variables) from the HDF5 file and create a geospatially aware `xarray.Dataset`;\n", - "2. how to mask missing data;\n", - "3. how to add coordinate information to the dataset;\n", - "4. how to add a coordinate reference system information the dataset." - ] - }, - { - "cell_type": "markdown", - "id": "aa714ea3-2dd2-4831-b482-a0421e0979f9", - "metadata": {}, - "source": [ - "`xarray` can read a group from an HDF5 file. In the following example, we read the `Soil_Moisture_Retrieval_Data_AM` group." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "759e1df8-eb4f-472d-8175-69e634c30503", - "metadata": {}, - "outputs": [], - "source": [ - "gds = xr.open_dataset(smap_files[0], group='Soil_Moisture_Retrieval_Data_AM') #, decode_coords='all', decode_cf=True)\n", - "gds" - ] - }, - { - "cell_type": "markdown", - "id": "05d558e4-448d-4c7a-a188-ea5cf27dc124", - "metadata": {}, - "source": [ - "53 variables are loaded from `Soil_Moisture_Retrieval_Data_AM`. However, we can immediately see some issues. The dimensions are named `phony_dim_0`, `phony_dim_1`, and `phony_dim_2`, which is not much help. This is because no dimensions are assigned to Datasets so `xarray` has to generate some dummy variables. The same problem arises if the Python binding for HDF5 library, `h5py`, were used.\n", - " \n", - "Let's change the names of the dimensions to something useful and meaningful. The first thing is to figure out what the dimensions are. This is more diffcult than is should be. Some of the metadata is wrong. Some is confusing. The description of the `landcover_class` offers some information, albeit misleading, but it is a clue.\n", - "\n", - "> An enumerated type that specifies the most common landcover class in the grid cell based on the IGBP landcover map. The array order is longitude (ascending), followed by latitude (descending), and followed by IGBP land cover type descending dominance (only the first three types are listed)\n", - "\n", - "This description states that the dimensions of the landcover_class array are longitude, latitude and IGBP land cover class. The data are in projected coordinates (EASE Grid 2.0) **so longitude and latitude cannot be dimensions**. Longitude and latitude must be 2D arrays for a projected dataset. However, x and y or easting and northing are likely candidates. However, the 3rd dimension appears to be land cover class. Plotting the `soil_moisture` variable also shows that `phony_dim_1` is the x-dimension and `phony_dim_0` is the y-dimension in cartesian coordinates. So we'll rename the coordinates:\n", - "\n", - " - `phony_dim_0 --> y`\n", - " - `phony_dim_1 --> x`\n", - " - `phony_dim_2 --> igbp_class`\n", - "\n", - "We can do this using `rename_dims`, which takes a dictionary as an argument, where keys are the old dimension name and values are the new dimension name." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a445433e-d160-4ca2-9a58-a0b74ccf348b", - "metadata": {}, - "outputs": [], - "source": [ - "gds = gds.rename_dims({'phony_dim_0': 'y', 'phony_dim_1': 'x', 'phony_dim_2': 'igbp_class'})\n", - "gds" - ] - }, - { - "cell_type": "markdown", - "id": "de673df1-483f-47b0-9e9a-c1aadd711629", - "metadata": {}, - "source": [ - "Another issue is that there are no coordinate variables, again because the HDF5 file was not created with any. Inspecting the variables, we see that there are two possible candidate coordinate variables: `latitude` and `longitude`. So let's plot them." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "96f26e1e-2c6d-4f57-bf51-72653e2c76d9", - "metadata": {}, - "outputs": [], - "source": [ - "gds.latitude.plot()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fe9bc187-b64d-414d-9074-5bc5e33c3774", - "metadata": {}, - "outputs": [], - "source": [ - "print(gds.latitude.min(), gds.latitude.max())" - ] - }, - { - "cell_type": "markdown", - "id": "ba404a65-2dd2-4f1b-a538-40861dfcd199", - "metadata": {}, - "source": [ - "If we plot both latitude and soil_moisture, we can see that latitude values have been masked with -9999. where there are no valid data values. **This is not a good or sensible approach because latitude and longitude are coordinates. As long as latitude and longitude values are between -90 and 90, and -180 and 180 (or 0 and 360), they are valid coordinates. Under NetCDF and CF conventions, coordinate values should not have missing values. We also need coordinates for all grid cells for plotting and other operations.** " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "18d8326c-fea7-4fb5-a7bc-e38f4bbfdd05", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(2, 1)\n", - "gds.latitude.plot(ax=ax[0]);\n", - "gds.soil_moisture.plot(ax=ax[1])" - ] - }, - { - "cell_type": "markdown", - "id": "43d5222c-82ba-4c58-83b5-0b13c1919ec2", - "metadata": {}, - "source": [ - "Neither the plot of latitude nor the minimum and maximum values look as we would expect. We expect latitude to be in the range of -90 to +90. The maximum is actually in this range but the minimum is -9999., which is suspiciously like a `_FillData` or missing data value. We would also expect the image to show a smooth field that only varies in the vertical direction, e.g. from -90. to 90. or some similar range. Instead it shows a set of lozenges.\n", - "\n", - "Let's set the `_FillValue` attribute for latitude to `-9999`. In `xarray`, we have to use `where` to apply a mask everywhere a condition is not `True`. Here we set the condition to be _not equal to -9999._ To save time and errors later, we also set the `encoding` entry for `fillvalue` to -9999.\n", - "\n", - "
              \n", - "`encoding` is a dictionary of parameters that defines how data are \"encoded\" in the file. It includes information about how data are compressed, chunked, the _FillValue, and data type. Saving the `encoding` is not strictly necessary unless you want to write the data to a new file. We'll follow these steps here to demonstrate how to preserve the encoding data. \n", - "
              " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c65618de-eb3d-4f07-804c-81f0199a3ed4", - "metadata": {}, - "outputs": [], - "source": [ - "print(gds.latitude.encoding)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "efc06b5a-fe82-4732-8753-f589485bb3f5", - "metadata": {}, - "outputs": [], - "source": [ - "fillvalue = -9999.\n", - "\n", - "# `where` does not preserve encoding, so we have to copy first\n", - "encoding = gds.latitude.encoding\n", - "# Apply fillvalue mask\n", - "gds['latitude'] = gds.latitude.where(gds.latitude != fillvalue)\n", - "# we copy the encoding back to DataArray\n", - "gds.latitude.encoding = encoding\n", - "# ...and update encoding to include fillvalue\n", - "gds.latitude.encoding['fillvalue'] = fillvalue" - ] - }, - { - "cell_type": "markdown", - "id": "511b2d12-c6ce-4fc4-b924-d5b3e4b13cf9", - "metadata": {}, - "source": [ - "Now when we check the range of the latitude values, we see that the range is between -83.63... and 83.63... as we expect." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ec868a8e-bf13-4967-bde6-02cc2b07738e", - "metadata": {}, - "outputs": [], - "source": [ - "print(gds.latitude.min(), gds.latitude.max())" - ] - }, - { - "cell_type": "markdown", - "id": "5acf9bca-d60d-4d34-9618-7d33e7236772", - "metadata": {}, - "source": [ - "Plotting the data again, we see that latitude values are within the expected range but that hasn't solved the missing data problem." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c7d6df08-b03f-465a-bb21-d6a68665fde2", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(2, 1)\n", - "gds.latitude.plot(ax=ax[0]);\n", - "gds.soil_moisture.plot(ax=ax[1])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "efc6edf9-0555-4256-86c7-c6527c9746c7", - "metadata": {}, - "source": [ - "#### Adding coordinates\n", - "\n", - "There are no useful coordinate values. If we plotted `longitude` we would see the same problem, and beside we need both latitude and longitude. As noted above, the files do not include complete information about the coordinate reference system or the grid definition. So we need to do some data sleuthing.\n", - "\n", - "Tables 4 and 5 in the [User Guide](https://nsidc.org/sites/default/files/spl3smp-v008-userguide.pdf) provide geospatial information. Further information on EASE Grids can be found on [A Guide to EASE Grids page](https://nsidc.org/data/user-resources/help-center/guide-ease-grids).\n", - "\n", - "
              \n", - "Note: The ATBD for the L3 SMP data gives the data array dimensions as 406 x 963.\n", - "
              \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "3d642bf9-c8fb-431d-8467-7720a3378081", - "metadata": {}, - "source": [ - "The CRS and grid definition are independent. The CRS defines how projected coordinates, usually in meters, relate to geographic latitude and longitude. The grid definition relates how image coordinates (columns and rows) map to the projected coordinates. The Guide to EASE Grids has 8 grid definitions, ranging from 1 km to 36 km cell sizes, for the Global EASE-Grid 2.0 CRS (EPSG:9633). We could define many more grid definitions. For more information on CRS, map projections and grids see [_Link to be added_]().\n", - "\n", - "In the [table](https://nsidc.org/data/user-resources/help-center/guide-ease-grids#anchor-10) for the 36 km Global EASE-Grid 2.0 we are given the height and width of each grid cell, and the x and y coordinates of the upper-left corner of the upper-left grid cell. We can see that the 36 km grid cell size is not exact. In fact the value the table gives is not exact. The actual value runs to 9 decimal places. This is because the grid cell height and width of the global grid were defined so that an exact number of cells span the equator {@brodzik_ease}. This is not necessary for polar grids.\n", - "\n", - "
              \n", - "Tip: Exact definitions of CRS, projection and grid parameters can be found in the Grid Parameter Definition (gpd) files in the [`mapxmaps` GitHub repository](https://github.com/nsidc/mapxmaps). These gpd files have a somewhat esoteric format, so might take a little bit to understand. It is important that the grid definition is exact because we cannot merge datasets if the coordinates do not match, even to the 9th decimal place.\n", - "
              " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "78dc5886-d10a-4ca7-b2df-e10ac1de0c8d", - "metadata": {}, - "outputs": [], - "source": [ - "grid_cell_width = 36032.220840584\n", - "grid_cell_height = -36032.220840584\n", - "x_upper_left_corner = -17367530.4451615\n", - "y_upper_left_corner = 7314540.8306386" - ] - }, - { - "cell_type": "markdown", - "id": "927e8b99-28d0-46d0-9c0e-8f9fd6223861", - "metadata": {}, - "source": [ - "The projected coordinates of a grid cell can be found using the following formulas:\n", - "\n", - "$$\n", - "x = (grid\\_cell\\_width \\times row) + x\\_upper\\_left\\_corner\n", - "$$\n", - "$$\n", - "y = (grid\\_cell\\_height \\times column) + y\\_upper\\_left\\_corner)\n", - "$$\n", - "\n", - "This equations assumes that the origin of the image coordinates start at row=0. and column=0. in the upper-left corner of the upper-left grid cell. So the center of the upper-left grid cell is row=0.5 and column=0.5. Adding 0.5 to row and column indices solves this problem.\n", - "\n", - "We could write a function to return (x, y) coordinates for (column, row) image coordinates using the equations above. Or we can use the `Affine` class from the `affine` package to define an affine matrix. This is what we'll do below. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "feed97dc-b521-4240-9446-8811c8694aeb", - "metadata": {}, - "outputs": [], - "source": [ - "transform = Affine(grid_cell_width, 0.0, x_upper_left_corner, \n", - " 0.0, grid_cell_height, y_upper_left_corner)\n", - "transform" - ] - }, - { - "cell_type": "markdown", - "id": "08669cb5-4848-41e7-a08b-0b3e71d21f40", - "metadata": {}, - "source": [ - "This then allows us to calculate x and y coordinates from column and row indices using matrix multiplication." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "98bd706e-78fc-4cc5-a11a-ff0cb22ca93c", - "metadata": {}, - "outputs": [], - "source": [ - "transform * (964, 406)" - ] - }, - { - "cell_type": "markdown", - "id": "549fc024-b032-406a-acdc-f7a76dea9e49", - "metadata": {}, - "source": [ - "We'll define vectors for the row and column indices of the grid cell centers, and then use the `transform` matrix to get x and y coordinates. These only need to be vectors as well because each column will have the same row indices and each row will have the same column indices. We'll use the `numpy.arange` function to do and start the range at 0.5 to offset the row and column indices for grid cell centers by 0.5." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4a314543-1a0c-482d-86d3-5905b6b11b2b", - "metadata": {}, - "outputs": [], - "source": [ - "nrows, ncolumns, nclass = gds.dims['y'], gds.dims['x'], gds.dims['igbp_class'] #data_vars['soil_moisture'][1].shape\n", - "row = np.arange(0.5, nrows)\n", - "column = np.arange(0.5, ncolumns)\n", - "\n", - "x, _ = transform * (column, 0.5)\n", - "_, y = transform * (0.5, row)\n", - "igbp_class = np.arange(nclass) # Add attributes" - ] - }, - { - "cell_type": "markdown", - "id": "85c7ee2c-05e7-4f00-a30c-e8697c91499e", - "metadata": {}, - "source": [ - "We need to assign `x`, `y`, and `igbp_class` as coordinates. This should be sufficient for plotting. However, if we want to reproject the data we should define the CRS and spatial coordinates, and transform. We do this using `rioxarray` accessors." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4fda308a-6433-4174-b14e-b162a71ae729", - "metadata": {}, - "outputs": [], - "source": [ - "gds = gds.assign_coords(x=x, y=y, igbp_class=igbp_class)\n", - "\n", - "gds.rio.write_crs(6933, grid_mapping_name='wgs84_easegrid2_global', inplace=True)\n", - "gds.rio.set_spatial_dims(x_dim='x', y_dim='y', inplace=True)\n", - "gds.rio.write_coordinate_system(inplace=True)\n", - "gds.rio.write_transform(transform)\n", - "gds.rio.write_grid_mapping('wgs84_easegrid2_global', inplace=True)\n", - "gds" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "29cb574a-7f44-4924-b275-0fce25606569", - "metadata": {}, - "outputs": [], - "source": [ - "print(gds.latitude.rio.grid_mapping)\n", - "print(gds.rio.bounds())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "70f54aaa-a1fc-46a2-826d-737bd71aa386", - "metadata": {}, - "outputs": [], - "source": [ - "EASEGrid2 = ccrs.epsg(gds.rio.crs.to_epsg())\n", - "\n", - "fig = plt.figure(figsize=(12,7))\n", - "ax = fig.add_subplot(projection=EASEGrid2)\n", - "\n", - "ax.coastlines()\n", - "gds.soil_moisture.plot(ax=ax,)\n", - "ax.set_title('Soil Moisture');" - ] - }, - { - "cell_type": "markdown", - "id": "ae67f0aa-b858-4ee1-aa29-3961df9c54cc", - "metadata": {}, - "source": [ - "## Extra Stuff to be refined" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1d00eaa2-7b6e-477a-b71c-6d90d09aa0a2", - "metadata": {}, - "outputs": [], - "source": [ - "grid_mapping_name = \"WGS84_NSIDC_EASEGrid_2.0_Global\"\n", - "datasets = ['Soil_Moisture_Retrieval_Data_AM/soil_moisture', 'Soil_Moisture_Retrieval_Data_AM/retrieval_qual_flag']\n", - "data_vars = {}\n", - "dims = ['y', 'x']\n", - "with h5py.File(smap_files[0]) as root:\n", - " for dataset in datasets:\n", - " ds = root[dataset]\n", - " path = ds.name\n", - " name = path.split('/')[-1]\n", - " attrs = {k: (v.decode('UTF-8') if hasattr(v, 'decode') else v) for k, v in dict(ds.attrs).items()}\n", - " attrs['grid_mapping'] = grid_mapping_name # Add so that dataset is CF-compliant and geoferenced\n", - " data_vars[name] = (dims, ds[:], attrs)\n", - "\n", - "data_vars\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39afd220-8f13-4993-a25a-5ec0513476be", - "metadata": {}, - "outputs": [], - "source": [ - "plt.imshow(data_vars['soil_moisture'][1])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1d7878b4-eec8-4214-8479-df2a8aab1016", - "metadata": {}, - "outputs": [], - "source": [ - "data_vars['soil_moisture'][1].shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5329fb83-8b95-42db-8ac1-7efe555a0c4f", - "metadata": {}, - "outputs": [], - "source": [ - "plt.pcolormesh(x, y, data_vars['soil_moisture'][1])" - ] - }, - { - "cell_type": "markdown", - "id": "083d7efa-0fb3-418b-93b6-04132a0375fe", - "metadata": {}, - "source": [ - "We also need to define the CRS. We know that the CRS has the EPSG code 6933. We can use `pyproj` to get the CRS definition." - ] - }, - { - "cell_type": "markdown", - "id": "fcbd0150-c72c-453b-8045-489f702b8349", - "metadata": {}, - "source": [ - "Base on [CF-Conventions](http://cfconventions.org/cf-conventions/cf-conventions.html#grid-mappings-and-projections), we add the CRS as a variable with the same name as we used for the `grid_mapping` attribute of each data variable. We define this variable as an integer. The grid mapping information is then copied as attributes for that variable. We use the `to_cf()` method of the `pyproj.CRS` object to do this." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "037dc012-8f52-4144-b929-fb3169dcebeb", - "metadata": {}, - "outputs": [], - "source": [ - "ds = xr.Dataset(data_vars, coords={'x': x, 'y': y})\n", - "ds" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "667dbefd-1a3e-4b9f-94a7-dfc0cb314961", - "metadata": {}, - "outputs": [], - "source": [ - "ds.rio.write_crs(6933, inplace=True)\n", - "\n", - "#ds[grid_mapping_name].attrs = crs.to_cf()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "58167732-336b-49a1-b915-2b3683336226", - "metadata": {}, - "outputs": [], - "source": [ - "ds =xr.decode_cf(ds)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f479de98-57b8-401d-8ae6-f5372c835dc1", - "metadata": {}, - "outputs": [], - "source": [ - "ds.soil_moisture.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "c98fef70-b2eb-4e17-90f1-58d8e93c2f56", - "metadata": {}, - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/SMAP/smap_rasterio_issues.ipynb b/notebooks/SMAP/smap_rasterio_issues.ipynb deleted file mode 100644 index 8f35355..0000000 --- a/notebooks/SMAP/smap_rasterio_issues.ipynb +++ /dev/null @@ -1,266 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "12d41e1b-020f-431d-8916-44b79b9bab33", - "metadata": {}, - "source": [ - "# Issues reading SMAP with different xarray backends\n", - "\n", - "This notebook explores [Issue 650](https://github.com/corteva/rioxarray/issues/650) for rioxarray. The user finds that the y-axis is flipped when they use `xarray` with `rioxarray` to read SMAP L4 data but not when they use the `netcdf4` backend.\n", - "\n", - "They use https://n5eil01u.ecs.nsidc.org/SMAP/SPL4SMGP.007/2015.03.31/SMAP_L4_SM_gph_20150331T013000_Vv7032_001.h5 as an example." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e157b689-ed9b-49dc-83cf-ed046f57d5ef", - "metadata": {}, - "outputs": [], - "source": [ - "from pathlib import Path\n", - "import warnings\n", - "\n", - "import xarray as xr\n", - "import rioxarray\n", - "import matplotlib.pyplot as plt\n", - "\n", - "print(xr.__version__)\n", - "print(rioxarray.__version__)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ad25ca3c-9aa4-4123-8af0-5a09ccf5bf46", - "metadata": {}, - "outputs": [], - "source": [ - "filepath = Path(\"smap_data/SMAP_L4_SM_gph_20150331T013000_Vv7032_001.h5\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f31063b9-0b3a-4a3c-b34f-86a3ce59c898", - "metadata": {}, - "outputs": [], - "source": [ - "engine = \"netcdf4\"\n", - "ds = xr.merge([\n", - " xr.open_dataset(filepath, engine=engine),\n", - " xr.open_dataset(filepath, group='Geophysical_Data', engine=engine)['precipitation_total_surface_flux'],\n", - " ])\n", - "ds" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2fe7bdca-12de-4674-b1c3-e55ac24e7627", - "metadata": {}, - "outputs": [], - "source": [ - "ds.precipitation_total_surface_flux.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "7cd943e4-7c2e-41c6-9ed1-ea45c90ff015", - "metadata": {}, - "source": [ - "With `h5netcdf`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fd8a2568-0893-4375-8b34-0b2e8b816ac2", - "metadata": {}, - "outputs": [], - "source": [ - "engine=\"h5netcdf\"\n", - "ds = xr.merge([\n", - " xr.open_dataset(filepath, engine=engine, phony_dims=\"sort\"),\n", - " xr.open_dataset(filepath, group='Geophysical_Data', engine=engine, phony_dims=\"sort\")['precipitation_total_surface_flux'],\n", - " ])\n", - "print(ds)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "105606bc-6c6b-4ffd-8bbc-23e40db3f065", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "%%capture \n", - "# Avoid a string of NotGeoreferencedWarnings\n", - "# /home/apbarret/mambaforge/envs/nsidc-tutorials/lib/python3.9/site-packages/rasterio/__init__.py:304: NotGeoreferencedWarning: \n", - "# Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", - "# dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)\n", - "engine = \"rasterio\"\n", - "ds_rasterio = xr.open_dataset(filepath, engine=engine)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fe9df3a8-b6f9-459f-b74c-44c6b1495fcb", - "metadata": {}, - "outputs": [], - "source": [ - "print(ds_rasterio.x, ds_rasterio.y)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ca842d36-9d4e-4ce7-8005-94cdf96875af", - "metadata": {}, - "outputs": [], - "source": [ - "ds_rasterio.cell_lat.plot()\n", - "plt.savefig('smap_h5_cell_lat.png')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "66ea978b-26ae-496a-9bdf-e94843dfd035", - "metadata": {}, - "outputs": [], - "source": [ - "ds_rasterio.cell_lat.squeeze().plot.imshow(origin=\"upper\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f2d01026-e6dc-49a2-963f-6143157eabca", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "!h5dump -d x {filepath}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0b5c0ea7-5693-4745-ae37-152b354504d5", - "metadata": {}, - "outputs": [], - "source": [ - "ds_rioxarray = xr.merge([\n", - " xr.open_dataset(filepath, decode_coords=\"all\"),\n", - " xr.open_dataset(filepath, group='Geophysical_Data', decode_coords=\"all\")['precipitation_total_surface_flux'],\n", - "])\n", - "\n", - "print(ds_rioxarray)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a70d9fbf-9087-49c5-8e14-c978fba84b26", - "metadata": {}, - "outputs": [], - "source": [ - "ds_rioxarray.precipitation_total_surface_flux.plot(vmax=0.001)\n", - "plt.savefig('smap_h5_precipitation.png')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1119929c-2e50-4053-bb84-e5cf441c2526", - "metadata": {}, - "outputs": [], - "source": [ - "ds_rioxarray.rio.crs" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a44c287c-c490-4e91-a7a9-c6643c01897f", - "metadata": {}, - "outputs": [], - "source": [ - "ds_rioxarray.rio.transform()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4056a4fe-3f45-4617-a73e-bc8ba52a8dc2", - "metadata": {}, - "outputs": [], - "source": [ - "ds_rioxarray.rio.reproject?" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7b855823-9181-4100-ba58-6b8fad7a7dd1", - "metadata": {}, - "outputs": [], - "source": [ - "ds.cell_row.plot()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "02710743-1835-495f-8d40-a8750ab029b7", - "metadata": {}, - "outputs": [], - "source": [ - "ds.precipitation_total_surface_flux.plot.imshow()" - ] - }, - { - "cell_type": "markdown", - "id": "2074ce5c-7ef5-4458-a52d-d7211ed2231f", - "metadata": {}, - "source": [ - "Try writing a dummy geotiff and then read it back in" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f79ff594-0a8f-44cf-9eb8-731d2e714eec", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 123737b7a644013c3f9b2941fed9cff30f82efb7 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Wed, 24 Sep 2025 16:56:51 -0600 Subject: [PATCH 29/31] update README --- notebooks/SMAP/README.md | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/notebooks/SMAP/README.md b/notebooks/SMAP/README.md index 7572c57..322f041 100644 --- a/notebooks/SMAP/README.md +++ b/notebooks/SMAP/README.md @@ -2,10 +2,16 @@ ### Summary -In this set of three tutorials we demonstrate how to search for, download and plot SMAP data. Tutorial 1 demonstrates how to search for and download SMAP data using the `earthaccess` library. The second tutorial demonstrates how to read in and plot the data downloaded in Tutorial 1. And Tutorial 3 provides information on the surface quality and retrieval quality flags. +This set of three tutorials demonstrates how to search for, download and plot SMAP data using `xarray` and how to make the SMAP data into a georeferenced dataset. We use the [SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 8](https://nsidc.org/data/SPL3SMP/versions/8) data set as an example. +[working_with_smap_data_in_xarray](notebooks/SMAP/working_with_smap_in_xarray.ipynb) demonstrates how to search for and download SMAP data using `earthaccess`, and how to load a single group into an `xarray.Dataset` using `open_dataset`. It also shows how to add informative dimension names and geospatial coordinates to the dataset so that the data variables can be plotted and analyzed using the powerful `xarray` methods. + +[working_with_smap_as_datatree](notebooks/SMAP/working_with_smap_as_datatree.ipynb) demonstrates how to load the full SMAP datafile as an `xarray.Datatree`. It also shows how to load a time series of SMAP files. + +[create_geospatial_dataset_in_xarray](notebooks/SMAP/create_geospatial_dataset_in_xarray.ipynb) is essentially the same workflow as `working_with_smap_data_in_xarray` but provides more detail and the rationale behind the modifications. + **NOTE** these notebooks are an updated version of the notebooks orginially published in this [repo](https://github.com/nsidc/smap_python_notebooks/tree/main). The notebooks are based on notebooks originally provided to NSIDC by Adam Purdy. Jennifer Roebuck of NSIDC applied the following updates: * Used `earthaccess` instead of `requests` for authentication, searching for and downloading the data. This reduced the code to just a few lines. * Used a more recent version of SPL3SMP (version 8). @@ -21,5 +27,4 @@ To run the notebook provided in this folder, please see the [NSIDC-Data-Tutorial ### Key Learning Objectives 1. Use the `earthaccess` library to search for and download SMAP data. -2. Use the `h5py` library to read in the HDF5 files and plot the variables on a map using `cartopy` and `matplotlib`. -3. Understand the surface quality and retrieval quality flag options. +2. Use the `xarray` library to read in the HDF5 files and plot the variables on a map using `xarray` plotting methods and `cartopy`. \ No newline at end of file From dcd882d11d42d62f3cffcadffc9fce049626a701 Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Thu, 25 Sep 2025 16:06:01 -0600 Subject: [PATCH 30/31] update SMAP version --- notebooks/SMAP/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/SMAP/README.md b/notebooks/SMAP/README.md index 322f041..4e77f90 100644 --- a/notebooks/SMAP/README.md +++ b/notebooks/SMAP/README.md @@ -4,7 +4,7 @@ This set of three tutorials demonstrates how to search for, download and plot SMAP data using `xarray` and how to make the SMAP data into a georeferenced dataset. -We use the [SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 8](https://nsidc.org/data/SPL3SMP/versions/8) data set as an example. +We use the [SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 8](https://nsidc.org/data/SPL3SMP/versions/9) data set as an example. [working_with_smap_data_in_xarray](notebooks/SMAP/working_with_smap_in_xarray.ipynb) demonstrates how to search for and download SMAP data using `earthaccess`, and how to load a single group into an `xarray.Dataset` using `open_dataset`. It also shows how to add informative dimension names and geospatial coordinates to the dataset so that the data variables can be plotted and analyzed using the powerful `xarray` methods. From ec4eca0528866f092b374c9965916516c1f13fbd Mon Sep 17 00:00:00 2001 From: Andy Barrett Date: Thu, 25 Sep 2025 16:18:03 -0600 Subject: [PATCH 31/31] add text about no order --- notebooks/SMAP/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/notebooks/SMAP/README.md b/notebooks/SMAP/README.md index 4e77f90..e45ad7f 100644 --- a/notebooks/SMAP/README.md +++ b/notebooks/SMAP/README.md @@ -6,6 +6,8 @@ This set of three tutorials demonstrates how to search for, download and plot SM We use the [SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 8](https://nsidc.org/data/SPL3SMP/versions/9) data set as an example. +All notebooks are self contained, so there is no particular order to run them. However, [working_with_smap_data_in_xarray](notebooks/SMAP/working_with_smap_in_xarray.ipynb) provides the most basic introduction. + [working_with_smap_data_in_xarray](notebooks/SMAP/working_with_smap_in_xarray.ipynb) demonstrates how to search for and download SMAP data using `earthaccess`, and how to load a single group into an `xarray.Dataset` using `open_dataset`. It also shows how to add informative dimension names and geospatial coordinates to the dataset so that the data variables can be plotted and analyzed using the powerful `xarray` methods. [working_with_smap_as_datatree](notebooks/SMAP/working_with_smap_as_datatree.ipynb) demonstrates how to load the full SMAP datafile as an `xarray.Datatree`. It also shows how to load a time series of SMAP files.