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Ocean Science An interactive open-access journal of the European Geosciences Union
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Volume 2, issue 2
Ocean Sci., 2, 183–199, 2006
https://doi.org/10.5194/os-2-183-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Ocean Sci., 2, 183–199, 2006
https://doi.org/10.5194/os-2-183-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  18 Oct 2006

18 Oct 2006

DINEOF reconstruction of clouded images including error maps – application to the Sea-Surface Temperature around Corsican Island

J.-M. Beckers1,3, A. Barth2, and A. Alvera-Azcárate2 J.-M. Beckers et al.
  • 1GeoHydrodynamics and Environment Research, MARE, University of Liège, Sart-Tilman B5, 4000 Liège, Belgium
  • 2College of Marine Science, University of South Florida, 140 7th Avenue South, St. Petersburg, Florida 33701, USA
  • 3Honorary Research Associate, National Fund for Scientific Research, Belgium

Abstract. We present an extension to the Data INterpolating Empirical Orthogonal Functions (DINEOF) technique which allows 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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