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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.
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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
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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.
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**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:
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* Used `earthaccess` instead of `requests` for authentication, searching for and downloading the data. This reduced the code to just a few lines.
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* Used the latest version of SPL3SMP (version 8).
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* Used a more recent version of SPL3SMP (version 8).
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* Replaced the use of `Basemap` with `cartopy`.
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* Updated the surface quality flag names to reflect the ones used in the latest version.
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* Minor text edits to provide additional information where necessary.
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