SMOS (Soil Moisture and Ocean Salinity) data readers and time series converter.

Works great in combination with pytesmo.

To see the latest full documentation click on the docs badge at the top.

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Before installing this package via pip, please install the necessary conda dependencies:

$ conda install -c conda-forge netcdf4 pyresample

Then

$ pip install smos

should work.

The following script will install miniconda and setup the environment on a UNIX like system. Miniconda will be installed into $HOME/miniconda.

wget https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh
bash miniconda.sh -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"
git clone [email protected]:TUW-GEO/smos.git smos
cd smos
conda env create -f environment.yml
source activate smos

This script adds $HOME/miniconda/bin temporarily to the PATH to do this permanently add export PATH="$HOME/miniconda/bin:$PATH" to your .bashrc or .zshrc

The second to last line in the example activates the smos environment.

After that you should be able to run:

pytest

to run the test suite.

Currently the following products are supported, additional products can be added.

• SMOS IC: SMOS INRA-CESBIO (SMOS-IC) 25km
• SMOS L4 RZSM: SMOS CATDS-CESBIO (SMOS L4 RZSM) 25km

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.

If you want to contribute please follow these steps:

• Fork the smos repository to your account
• make a new feature branch from the smos 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