This package was integrated into the esa_cci_sm package, therefore this package is obsolete and archived.

hsaf_cci_042

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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:

git clone git@github.com:TUW-GEO/hsaf_cci_042.git hsaf_cci_042
cd hsaf_cci_042
conda env create -f environment.yml
source activate hsaf_env

Supported Products

At the moment this package supports ESA CCI soil moisture data version v04.2 and v04.3 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 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/.

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