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

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 inte...

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Main Authors: J.-M. Beckers, A. Barth, A. Alvera-Azcárate
Format: Article
Language:English
Published: Copernicus Publications 2006-01-01
Series:Ocean Science
Online Access:http://www.ocean-sci.net/2/183/2006/os-2-183-2006.pdf
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author J.-M. Beckers
J.-M. Beckers
A. Barth
A. Alvera-Azcárate
author_facet J.-M. Beckers
J.-M. Beckers
A. Barth
A. Alvera-Azcárate
author_sort J.-M. Beckers
collection DOAJ
description 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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spelling doaj.art-77b8088793654c9699aea4fa88f9ac7a2022-12-21T23:41:10ZengCopernicus PublicationsOcean Science1812-07841812-07922006-01-0122183199DINEOF reconstruction of clouded images including error maps – application to the Sea-Surface Temperature around Corsican IslandJ.-M. BeckersJ.-M. BeckersA. BarthA. Alvera-AzcárateWe 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.http://www.ocean-sci.net/2/183/2006/os-2-183-2006.pdf
spellingShingle J.-M. Beckers
J.-M. Beckers
A. Barth
A. Alvera-Azcárate
DINEOF reconstruction of clouded images including error maps – application to the Sea-Surface Temperature around Corsican Island
Ocean Science
title DINEOF reconstruction of clouded images including error maps – application to the Sea-Surface Temperature around Corsican Island
title_full DINEOF reconstruction of clouded images including error maps – application to the Sea-Surface Temperature around Corsican Island
title_fullStr DINEOF reconstruction of clouded images including error maps – application to the Sea-Surface Temperature around Corsican Island
title_full_unstemmed DINEOF reconstruction of clouded images including error maps – application to the Sea-Surface Temperature around Corsican Island
title_short DINEOF reconstruction of clouded images including error maps – application to the Sea-Surface Temperature around Corsican Island
title_sort dineof reconstruction of clouded images including error maps ndash application to the sea surface temperature around corsican island
url http://www.ocean-sci.net/2/183/2006/os-2-183-2006.pdf
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