Synthesizing Sea Surface Temperature and Satellite Altimetry Observations Using Deep Learning Improves the Accuracy and Resolution of Gridded Sea Surface Height Anomalies

Synthesizing Sea Surface Temperature and Satellite Altimetry Observations Using Deep Learning Improves the Accuracy and Resolution of Gridded Sea Surface Height Anomalies

Abstract Gridded sea surface height (SSH) maps estimated from satellite altimetry are widely used for estimating surface ocean geostrophic currents. Satellite altimeters observe SSH along one‐dimensional tracks widely spaced in space and time, making accurately reconstructing the two‐dimensional (2D...

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Bibliographic Details
Main Authors: Scott A. Martin, Georgy E. Manucharyan, Patrice Klein
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-05-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
ocean dynamics
mesoscale eddies
deep learning
satellite altimetry
sea surface temperature
sea surface height
Online Access:https://doi.org/10.1029/2022MS003589

Internet

https://doi.org/10.1029/2022MS003589

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