hsaf_cci_042¶
Reading and reshuffling of CCI soil moisture Written in Python.
Installation¶
Setup of a complete environment with conda can be performed using the following commands:
conda create -q -n hsaf_cci-environment -c conda-forge numpy netCDF4 pyproj pygrib
source activate hsaf_cci-environment
pip install hsaf_env
Supported Products¶
At the moment this package supports ESA CCI soil moisture data version v04.2 and v04.3 in netCDF format (download, reading, 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 hsaf_env
environment which you can activate by using source activate hsaf_env
.
Guidelines¶
If you want to contribute please follow these steps:
- Fork the hsaf_cci_042 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 hsaf_cci_042 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/.