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Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation ArchiMer
Lguensat, Redouane; Viet, Phi Huynh; Sun, Miao; Chen, Ge; Fenglin, Tian; Chapron, Bertrand; Fablet, Ronan.
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 strategies. This reconstruction is stated as an analog data assimilation issue, where the analog models rely on patch-based and Empirical Orthogonal Functions (EOF)-based representations to circumvent the curse of dimensionality. We implement an Observation System Simulation Experiment (OSSE) in the South China Sea. The reported results show the relevance of the proposed framework with a significant gain in terms of Root Mean Square Error (RMSE) for scales below 100...
Tipo: Text Palavras-chave: Analog data assimilation; Sea level anomaly; Sea surface height; Interpolation; Data-driven methods.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00489/60078/63402.pdf
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