Stochastic‐Deep Learning Parameterization of Ocean Momentum Forcing

Abstract Coupled climate simulations that span several hundred years cannot be run at a high‐enough spatial resolution to resolve mesoscale ocean dynamics. Recently, several studies have considered Deep Learning to parameterize subgrid forcing within macroscale ocean equations using data from ocean‐...

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Bibliographic Details
Main Authors: Arthur P. Guillaumin, Laure Zanna
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-09-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2021MS002534