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Reading and reshuffling of C3S soil moisture Written in Python.


Setup of a complete environment with conda can be performed using the following commands:

git clone git@github.com:TUW-GEO/c3s_sm.git c3s_sm
cd c3s_sm
conda env create -f environment.yml
source activate c3s_sm


We provide (general) tutorials on using the C3S Soil Moisture data:

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.


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.

Development setup

For Development we also recommend a conda environment. You can create one including test dependencies and debugger by running conda env create -f environment.yml. This will create a new c3s_sm environment which you can activate by using source activate c3s_sm.


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. We use py.test so a simple function called test_my_feature is enough

  • submit a pull request to our master branch


This project has been set up using PyScaffold 2.5. For details and usage information on PyScaffold see http://pyscaffold.readthedocs.org/.

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