Machine Learning‐Derived Inference of the Meridional Overturning Circulation From Satellite‐Observable Variables in an Ocean State Estimate

Machine Learning‐Derived Inference of the Meridional Overturning Circulation From Satellite‐Observable Variables in an Ocean State Estimate

Abstract The oceanic Meridional Overturning Circulation (MOC) plays a key role in the climate system, and monitoring its evolution is a scientific priority. Monitoring arrays have been established at several latitudes in the Atlantic Ocean, but other latitudes and oceans remain unmonitored for logis...

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Bibliographic Details
Main Authors: Aviv Solodoch, Andrew L. Stewart, Andrew McC. Hogg, Georgy E. Manucharyan
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-04-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Meridional Overturning Circulation
ocean circulation
satellite sensing
climate variability
machine learning
observing systems
Online Access:https://doi.org/10.1029/2022MS003370

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