A Posteriori Learning for Quasi‐Geostrophic Turbulence Parametrization
Sign Up to like & getrecommendations! 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… read more here.
Keywords: posteriori learning; parametrization; subgrid parametrizations; quasi geostrophic ... See more keywords