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AnDA

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¡AnDA! is a Python library for the Analog Data Assimilation.

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# DESCRIPTION
¡AnDA! is a Python library for the Analog Data Assimilation. This fully data-driven approach aims at reconstructing the state of the system without knowing explicitly the dynamical model. Instead, a representative catalog of trajectories of the system is assumed to be available. AnDA combines analog forecasting methods with ensemble data assimilation.

# GETTING STARTED
A description and a test of the code is given in the ipython notebook "test_AnDA.ipynb".

# CONTACT
Please contact **Pierre Tandeo** (pierre.tandeo@imt-atlantique.fr) in case of bugs.

# REMARK
The Matlab code is also available on demand but will not be supported for the future. We advice new users to consider using the AnDA Python library which does not need special Matlab toolbox licences and is used by the authors in their future works.

# CITING
This Python library is attached to the following publication (http://journals.ametsoc.org/doi/abs/10.1175/MWR-D-16-0441.1): Lguensat, R., Tandeo, P., Ailliot, P., Pulido, M., & Fablet, R. (2017). The Analog Data Assimilation. *Monthly Weather Review*, 145(10), 4093-4107. If you use this library, please do not forget to cite our work.

## Copyright

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License version 3 as published by
the Free Software Foundation. See LICENCE file.

AnDA

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