c3s_sm

Processing tools and tutorials for users of the C3S satellite soil moisture service ( https://doi.org/10.24381/cds.d7782f18 ). Written in Python.

Installation

The c3s_sm package and all required dependencies can be installed via

pip install c3s_sm

On macOS if you get ImportError: Pykdtree failed to import its C extension, then it might be necessary to install the pykdtree package from conda-forge

conda install -c conda-forge pykdtree

Tutorials

We provide tutorials on using the C3S Soil Moisture data:

• Tutorial 1: DataAccess from CDS & Anomaly computation

These tutorials are designed to run on mybinder.org You can find the code for all examples in this repository.

Supported Products

At the moment this package supports C3S soil moisture data in netCDF format (reading and time series creation) with a spatial sampling of 0.25 degrees.

Contribute

We are happy if you want to contribute. Please raise an issue explaining what is missing or if you find a bug. We will also gladly accept pull requests against our master branch for new features or bug fixes.

Guidelines

If you want to contribute please follow these steps:

• Fork the c3s_sm repository to your account
• Clone the repository, make sure you use git clone --recursive to also get the test data repository.
• make a new feature branch from the c3s_sm master branch
• Add your feature
• Please include tests for your contributions in one of the test directories.
• submit a pull request to our master branch