c3s-sm 0.1

Readers and time series coverters for the C3S Soil Moisture data set

Reading and reshuffling of C3S soil moisture Written in Python.

Installation

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

git clone [e-mail]:TUW-GEO/c3s_sm.git c3s_sm
cd c3s_sm
conda env create -f environment.yml
source activate c3s_sm

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.

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.

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

• submit a pull request to our master branch

Note

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