DINEOF reconstruction of clouded images including error maps – application to the Sea-Surface Temperature around Corsican Island
نویسندگان
چکیده
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.
منابع مشابه
Cloud filling and error calculations
DINEOF reconstruction of clouded images including error maps. Application to the Sea-Surface Temperature around Corsican Island J.-M. Beckers, A. Barth, and A. Alvera-Azcárate GeoHydrodynamics and Environment Research, MARE, University of Liège, Sart-Tilman B5, 4000 Liège, Belgium College of Marine Science, University of South Florida, 140 7th Avenue South, St. Petersburg, Florida 33701, USA Ho...
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