Readers and time series coverters for the C3S Soil Moisture data set
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 email@example.com:TUW-GEO/c3s_sm.git c3s_sm cd c3s_sm conda env create -f environment.yml source activate c3s_sm
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.
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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