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

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...

Full description

Bibliographic Details
Main Authors: Redouane Lguensat, Phi Huynh Viet, Miao Sun, Ge Chen, Tian Fenglin, Bertrand Chapron, Ronan Fablet
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
analog data assimilation
sea level anomaly
sea surface height
interpolation
data-driven methods
Online Access:https://www.mdpi.com/2072-4292/11/7/858

Internet

https://www.mdpi.com/2072-4292/11/7/858

Similar Items