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Communication Dans Un Congrès Année : 2015

Spatio-temporal interpolation of Sea Surface Temperature using high resolution remote sensing data

Résumé

In this work, we present a statistical model to generate relevant reanalysis of geophysical parameters. In particular, we use a stochastic equation to control the temporal and spatial variability of the signal and we take into account the possible error of the observations. We resolve the system iteratively using an ensemble Kalman filter and smoother. We apply the methodology to remote sensing data of Sea Surface Temperature (SST). We use high resolution SST maps provided by an infrared sensor, sensible to the presence of cloud. Comparing the results with the reference SST reanalysis, we demonstrate the capability of our approach to interpolate missing data and keep into account the spatial and temporal consistency of the SST signal.
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Dates et versions

hal-01188863 , version 1 (31-08-2015)

Identifiants

Citer

Redouane Lguensat, Pierre Tandeo, Ronan Fablet, René Garello. Spatio-temporal interpolation of Sea Surface Temperature using high resolution remote sensing data. OCEANS 2014 - St John's : MTS/IEEE international conference, Sep 2014, St. John'S, Canada. pp.1 - 4, ⟨10.1109/OCEANS.2014.7002988⟩. ⟨hal-01188863⟩
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