Identifying Ocean Submesoscale Activity From Vertical Density Profiles Using Machine Learning

Identifying Ocean Submesoscale Activity From Vertical Density Profiles Using Machine Learning

Abstract Submesoscale eddies are important features in the upper ocean where they mediate air‐sea exchanges, convey heat and tracer fluxes into ocean interior, and enhance biological production. However, due to their small size (0.1–10 km) and short lifetime (hours to days), directly observing subme...

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Bibliographic Details
Main Authors: Leyu Yao, John R. Taylor, Dani C. Jones, Scott D. Bachman
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2025-01-01
Series:Earth and Space Science
Subjects:
oceanography
machine learning
Online Access:https://doi.org/10.1029/2022EA002618
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