Search Results - "Frezat, Hugo"

A Posteriori Learning for Quasi‐Geostrophic Turbulence Parametrization by Frezat, Hugo, Le Sommer, Julien, Fablet, Ronan, Balarac, Guillaume, Lguensat, Redouane

“…The use of machine learning to build subgrid parametrizations for climate models is receiving growing attention. State‐of‐the‐art strategies address the…”
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Gradient-free online learning of subgrid-scale dynamics with neural emulators by Frezat, Hugo, Fablet, Ronan, Balarac, Guillaume, Sommer, Julien Le

“…In this paper, we propose a generic algorithm to train machine learning-based subgrid parametrizations online, i.e., with a posteriori loss functions, but for…”
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A posteriori learning for quasi-geostrophic turbulence parametrization by Frezat, Hugo, Sommer, Julien Le, Fablet, Ronan, Balarac, Guillaume, Lguensat, Redouane

“…Journal of Advances in Modeling Earth Systems. Volume 14, Issue 11 (November 2022) The use of machine learning to build subgrid parametrizations for climate…”
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A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps by Frezat, Hugo, Sommer, Julien Le, Fablet, Ronan, Balarac, Guillaume, Lguensat, Redouane

“…Modeling the subgrid-scale dynamics of reduced models is a long standing open problem that finds application in ocean, atmosphere and climate predictions where…”
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Physical invariance in neural networks for subgrid-scale scalar flux modeling by Frezat, Hugo, Balarac, Guillaume, Sommer, Julien Le, Fablet, Ronan, Lguensat, Redouane

“…Phys. Rev. Fluids 6, 024607 (2021) In this paper we present a new strategy to model the subgrid-scale scalar flux in a three-dimensional turbulent…”
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