Requires:
- python3
- SDFC
- numpy(>=1.15.0)
- scipy(>=0.19)
- xarray
- pandas
- matplotlib
- pygam(>=0.8.0)
- netCDF4
- texttable
Just use the command:
python3 setup.py install --user
In the example folder, dataset are given to test the library, corresponding to the French 2003 and 2019 French heatwave. Data come from:
Copyright Yoann Robin, Aurelien Ribes, 2020
This software is a computer program that is part of the NSSEA (Non-Stationary Statistics for Extreme Attribution) This library makes it possible to infer the probability of an (extreme) event in the factual / counter-factual world (without anthropic forcing) to attribute it to climate change.
This software is governed by the CeCILL-C license under French law and abiding by the rules of distribution of free software. You can use, modify and/ or redistribute the software under the terms of the CeCILL-C license as circulated by CEA, CNRS and INRIA at the following URL "http://www.cecill.info".
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