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Published in 2022 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1029/2022ms003124
Abstract: The use of machine learning to build subgrid parametrizations for climate models is receiving growing attention. State‐of‐the‐art strategies address the problem as a supervised learning task and optimize algorithms that predict subgrid fluxes based on…
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Keywords:
posteriori learning;
parametrization;
subgrid parametrizations;
quasi geostrophic ... See more keywords