Global Estimation of Subsurface Eddy Kinetic Energy of Mesoscale Eddies Using Machine Learning

Abstract Oceanic eddy kinetic energy (EKE) is a key quantity for measuring the intensity of mesoscale eddies and developing mesoscale eddy parameterizations in ocean circulation models. Three decades of satellite observations enable a global assessment of sea surface EKE. However, due to the sparsen...

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Detalhes bibliográficos

Principais autores:	Chenyue Xie, An‐Kang Gao, Xiyun Lu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2025-09-01
coleção:	Journal of Geophysical Research: Machine Learning and Computation
Assuntos:	subsurface eddy kinetic energy reanalysis and observational data sets mesoscale eddies dual‐branches neural network approach transfer learning
Acesso em linha:	https://doi.org/10.1029/2024JH000578
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