StochasticParametrization-ApplicationToLorenz96

Requirements:

Must have pysindy installed

pip install pysindy

To run the regression or compressed sensing code, please run "Lorenz-96-data.py" once to generate the dataset "Lorenz-96-data_411.mat"

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
CompressedSensingEquations		CompressedSensingEquations
CompressedSensingUtils.py		CompressedSensingUtils.py
CompressedSensing_AddingNoiseToBiases.py		CompressedSensing_AddingNoiseToBiases.py
CompressedSensing_AutoRegression.py		CompressedSensing_AutoRegression.py
CompressedSensing_Order2.py		CompressedSensing_Order2.py
CompressedSensing_Order3.py		CompressedSensing_Order3.py
CompressedSensing_Raw.py		CompressedSensing_Raw.py
CompressedSensing_SettingBiasesToAverageBias.py		CompressedSensing_SettingBiasesToAverageBias.py
CompressedSensing_SettingBiasesToZero.py		CompressedSensing_SettingBiasesToZero.py
Ensemble Kalman Filter for the Lorenz 96 Model.ipynb		Ensemble Kalman Filter for the Lorenz 96 Model.ipynb
Lorenz-96-data.py		Lorenz-96-data.py
README.md		README.md
Regression.py		Regression.py
Regression_AR.py		Regression_AR.py
RungeKuttaUtils.py		RungeKuttaUtils.py
new_gaussian_kde.py		new_gaussian_kde.py

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