This is my personal data asimilation benchmark research code. This includes code for developing and testing data assimilation schemes in the L96-s model.
Dynamic model code for L96-s is included in the l96.py file. Data assimilation methods are included in the ensemble_kalman_schemes.py file. Drivers are in the benchmark files and submit for slurm scripts are pre-fixed with batch_submit.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should be able to access a copy of the license in the following License.md. If not, see https://www.gnu.org/licenses/.