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A Machine Learning Outlook: Post-processing of Global Medium-range Forecasts
Post-processing typically takes the outputs of a Numerical Weather Prediction (NWP) model and applies linear statistical techniques to produce improve localized forecasts, by including additional observations, or determining systematic errors at a finer scale.
Using Machine Learning for Model Physics: an Overview
In the overview, a generic mathematical object (mapping) is introduced, and its relation to model physics parameterization is explained.
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