How to Calibrate a Dynamical System With Neural Network Based Physics?

Unlike the traditional subgrid scale parameterizations used in climate models, current machine learning (ML) parameterizations are only tuned offline, by minimizing a loss function on outputs from high‐resolution models. This approach often leads to numerical instabilities and long‐term biases. Here...

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