On the Choice of Training Data for Machine Learning of Geostrophic Mesoscale Turbulence

Abstract Data plays a central role in data‐driven methods, but is not often the subject of focus in investigations of machine learning algorithms as applied to Earth System Modeling related problems. Here we consider the problem of eddy‐mean interaction in rotating stratified turbulence in the prese...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	F. E. Yan, J. Mak, Y. Wang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	American Geophysical Union (AGU) 2024-02-01
Sarja:	Journal of Advances in Modeling Earth Systems
Aiheet:	machine learning geostrophic turbulence eddy‐mean interaction eddy parameterization data‐driven methods
Linkit:	https://doi.org/10.1029/2023MS003915
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