Reference : Cloud filling of total suspended matter, chlorophyll and sea surface temperature remo...
Scientific congresses and symposiums : Paper published in a book
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/6552
Cloud filling of total suspended matter, chlorophyll and sea surface temperature remote sensing products by the Data Interpolation with Empirical Orthogonal Functions methodology, application to the BELCOLOUR-1 database
English
Sirjacobs, Damien mailto [Université de Liège - ULiège > Département des sciences de la vie > Algologie, mycologie et systématique expérimentale >]
Alvera Azcarate, Aïda mailto [Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Barth, Alexander mailto [Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Park, Youngje [CSIRO Land and Water > Environmental Remote Sensing Group > > >]
Nechad, Bouchra mailto [Management Unit of the North Sea Mathematical Models (MUMM) > Royal Belgian Institute of Natural Sciences (RBINS) > > >]
Ruddick, Kevin mailto [Royal Belgian Institute of Natural Sciences (RBINS) > Management Unit of the North Sea Mathematical Models (MUMM) > > >]
Beckers, Jean-Marie mailto [Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Sep-2008
ESA Special Publication SP666
No
No
International
2nd MERIS (A)ASTR workshop
22-26 september 2008
European Space Agency
Rome
Italy
[en] Empirical Orthogonal Functions ; cloud filling ; North Sea ; English Channel ; Total suspended matter ; chlorophyll a ; Sea Surface Temperature
[en] 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]. Here, the DINEOF reconstruction method is applied to surface chlorophyll a (CHL), total suspended matter (TSM) and sea surface temperature (SST) data over the Southern North Sea and English Channel obtained from the BELCOLOUR archive.

1. Beckers, J.-M. and Rixen, M. (2003). EOF Calculations and Data Filling from Incomplete Oceanographic Datasets. Journal of Atmospheric and Oceanic Technology, 20:18391856.

2. Alvera-Azcárate, A., Barth, A., Rixen, M. and Beckers, J.-M. (2005). Reconstruction of incomplete oceanographic data sets using Empirical Orthogonal Functions. Application to the Adriatic Sea surface temperature. Ocean Modelling, 9:325–346.
Centre Interfacultaire de Recherches en Océanologie - MARE - GHER
Politique Scientifique Fédérale (Belgique) = Belgian Federal Science Policy
RECOLOUR
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/6552

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