Using Machine Learning for Model Physics: an Overview

2 Feb 2020 Vladimir Krasnopolsky

In the overview, a generic mathematical object (mapping) is introduced, and its relation to model physics parameterization is explained. Machine learning (ML) tools that can be used to emulate and/or approximate mappings are introduced... (read more)

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