SMAP 9km real-time processing

The code in this repository downloads NASA's Soil Moisture Active Passive (SMAP) in it's native .h5 format, converts it to a .zarr file, and saves to disc. Data can be opened in an xarray dataset. SMAP data is being explored to understand the effects of atmospheric rivers (ARs) in New Zealand, as well as a way to monitor drought.

How to run the code

There are many scientific software dependencies for processing SMAP data. Because of this, conda or mamba are the recommended ways to create the software environment. This environment can be created from the file env.yml. If you have conda installed, create it by running:

conda create -v -n SMAP -f env.yml

Install this package via pip:

pip install smap_analysis

Download SMAP

To download 9km real-time SMAP data, run download_smap.py from the scripts directory:

conda activate SMAP

python download_smap.py --start_date '2024-01-01' --end_date '2024-02-01'

Thanks

Thanks to MBIE, NASA and NIWA for funding this work.