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DINEOF reconstruction of clouded images including error maps: application to the Sea-Surface Temperature around Corsican Island
Beckers, J.-M.; Barth, A.; Alvera-Azcárate, A. (2006). DINEOF reconstruction of clouded images including error maps: application to the Sea-Surface Temperature around Corsican Island. Ocean Sci. 2: 183-199
In: Ocean Science. Copernicus: Göttingen. ISSN 1812-0784, more
Peer reviewed article  

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Authors  Top 
  • Beckers, J.-M., more
  • Barth, A., more
  • Alvera-Azcárate, A.

Abstract
    We present an extension to the Data Interpolating Empirical Orthogonal Functions (DINEOF) technique whichallows not only to fill in clouded images but also to provide an estimation of the error covariance of the reconstruction. This additional information is obtained by an analogy with optimal interpolation. It is shown that the error fields can be obtained with a clever rearrangement of calculations at a cost comparable to that of the interpolation itself. The method is presented on the reconstruction of sea-surface temperature in the Ligurian Sea and around the Corsican Island (Mediterranean Sea), including the calculation of inter-annual variability of average surface values and their expected errors. The application shows that the error fields are not only able to reflect the data-coverage structure but also the covariances of the physical fields.

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