Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation

From the recent developments of data-driven methods as a means to better exploit large-scale observation, simulation and reanalysis datasets for solving inverse problems, this study addresses the improvement of the reconstruction of higher-resolution Sea Level Anomaly (SLA) fields using analog strat...

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Auteurs principaux:	Redouane Lguensat, Phi Huynh Viet, Miao Sun, Ge Chen, Tian Fenglin, Bertrand Chapron, Ronan Fablet
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2019-04-01
Collection:	Remote Sensing
Sujets:	analog data assimilation sea level anomaly sea surface height interpolation data-driven methods
Accès en ligne:	https://www.mdpi.com/2072-4292/11/7/858
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