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<article language="en">
	<journal>
		<journal_title>Ocean Science</journal_title>
		<journal_url>www.ocean-sci.net</journal_url>
		<issn>1812-0784</issn>
		<eissn>1812-0792</eissn>
		<volume_number>2</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/os-2-183-2006</doi>
	<article_url>http://www.ocean-sci.net/2/183/2006/</article_url>
	<abstract_html>http://www.ocean-sci.net/2/183/2006/os-2-183-2006.html</abstract_html>
	<fulltext_pdf>http://www.ocean-sci.net/2/183/2006/os-2-183-2006.pdf</fulltext_pdf>
	<start_page>183</start_page>
	<end_page>199</end_page>
	<publication_date>2006-10-18</publication_date>
	<article_title content_type="html">DINEOF reconstruction of clouded images including error maps &amp;ndash; application to the Sea-Surface Temperature around Corsican Island</article_title>
	<authors>
		<author numeration="1" affiliations="1,3">
			<name>J.-M. Beckers</name>
			<email>jm.beckers@ulg.ac.be</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>A. Barth</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>A. Alvera-AzcÃ¡rate</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">GeoHydrodynamics and Environment Research, MARE,  University of LiÃ¨ge,  Sart-Tilman  B5, 4000 LiÃ¨ge, Belgium</affiliation>
		<affiliation numeration="2" content_type="html">College of Marine Science,   University of South Florida,   140 7th Avenue South,   St. Petersburg,   Florida 33701, USA</affiliation>
		<affiliation numeration="3" content_type="html">Honorary Research Associate, National Fund for Scientific Research, Belgium</affiliation>
	</affiliations>
	<abstract content_type="html">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.</abstract>
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</article>

