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Communication Dans Un Congrès Année : 2017

Spatio-Temporal interpolation of altimeter-derived SSH fields using Analog Data Assimilation: A Case-Study In The South China Sea

Résumé

The reconstruction of high-resolution gridded altimetry maps from irregularly sampled along-track data remains a key chal- lenge in ocean remote sensing science. Operational products use optimal Interpolation (OI) techniques, which may not deal with nonlinear dynamics at short space-time scales. Here, we investigate an analog data assimilation scheme to improve the reconstruction of fine-scale structures. The analog data assim- ilation combines an ensemble Kalman model and a dataset of exemplars issued from high-resolution numerical simulations to perform an exemplar-based spatio-temporal interpolation of along-track data. As a case-study, we consider a region in the South China Sea and demonstrate the proposition ana- log data assimilation outperforms the classical OI by about ' 20% in terms of mean square reconstruction error.
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Dates et versions

hal-01799854 , version 1 (25-05-2018)

Identifiants

Citer

Redouane Lguensat, Miao Sun, Ge Chen, Fenglin Tian, Ronan Fablet. Spatio-Temporal interpolation of altimeter-derived SSH fields using Analog Data Assimilation: A Case-Study In The South China Sea. IGARSS 2017 : IEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Fort Worth, United States. ⟨10.1109/IGARSS.2017.8127625⟩. ⟨hal-01799854⟩
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