Learning Sea Surface Height Interpolation From Multi‐Variate Simulated Satellite Observations

Abstract Satellite‐based remote sensing missions have revolutionized our understanding of the Ocean state and dynamics. Among them, space‐borne altimetry provides valuable Sea Surface Height (SSH) measurements, used to estimate surface geostrophic currents. Due to the sensor technology employed, imp...

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Bibliographic Details

Published in:	Journal of Advances in Modeling Earth Systems
Main Authors:	Théo Archambault, Arthur Filoche, Anastase Charantonis, Dominique Béréziat, Sylvie Thiria
Format:	Article
Language:	English
Published:	American Geophysical Union (AGU) 2024-06-01
Subjects:	sea surface height sea surface temperature observing system simulation experiment deep neural network unsupervised interpolation
Online Access:	https://doi.org/10.1029/2023MS004047