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
Experimental observation of the geostrophic turbulence regime of rapidly rotating convection.
Sign Up to like & getrecommendations! Published in 2021 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2105015118
Abstract: The competition between turbulent convection and global rotation in planetary and stellar interiors governs the transport of heat and tracers, as well as magnetic field generation. These objects operate in dynamical regimes ranging from weakly… read more here.
Keywords: rotating convection; geostrophic turbulence; convection; turbulence regime ... See more keywords