{"refrec":{"BRefID":221435,"RR":"<b>Sirjacobs, D.; Alvera-Azcárate, A.; Barth, A.; Park, Y.; Nechad, B.; Ruddick, K.; Beckers, J.-M.</b> (2008). Cloud filling of total suspended matter, cholorphyll and sea surface temperature remote sensing products by the Data Interpolation with Empirical Orthogonal Functions methodology, application to the BELCOLOUR-1 database, <b><i>in</i></b>: <i>Proceedings of the 2nd MERIS/(A)ATSR User Workshop, 22–26 September 2008, ESRIN, Frascati, Italy. ESA Special Publications,</i> 666: pp. 6","BEntID":213164,"PublicFlag":1,"CheckedFlag":0,"wosflag":null,"vabbflag":null,"RefStringPartII":", <b><i>in</i></b>: <i>Proceedings of the 2nd MERIS/(A)ATSR User Workshop, 22–26 September 2008, ESRIN, Frascati, Italy. ESA Special Publications,</i> 666: pp. 6","DocTypID":17,"DocType":"Book chapters","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Sirjacobs, D.; Alvera-Azcárate, A.; Barth, A.; Park, Y.; Nechad, B.; Ruddick, K.; Beckers, J.-M.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Sirjacobs, D. <i>et al.</i>","Englishabstract":" Space-time filling of the gaps in satellite data archives is an important step for the improvement of various marine ecosystem studies. The Data Interpolation with Empirical Orthogonal Functions methodology (DINEOF) allows calculating missing data in geophysical datasets without requiring a priori knowledge about statistics of the full data set [1]. It was successfully applied to SST reconstructions as in [1] and [2]. 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