Reference : Cloud-free satellite data for operational applications using DINEOF

	Document type :	Scientific congresses and symposiums : Unpublished conference
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
	To cite this reference:	http://hdl.handle.net/2268/91816

Title :	Cloud-free satellite data for operational applications using DINEOF
Language :	English
Author, co-author :	Alvera Azcarate, Aïda [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
	Barth, Alexander [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
	Sirjacobs, Damien [Université de Liège - ULg > Département des sciences de la vie > Algologie, mycologie et systématique expérimentale >]
	Beckers, Jean-Marie [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Publication date :	24-Feb-2010
Audience :	International
Event name :	Ocean Sciences Meeting
Event date :	from 22-02-2010 to 26-02-2010
Event organizer :	American Geophysical Union
Event place (city) :	Portland
Event country :	United States
Keywords :	[en] DINEOF ; operational applications ; Missing data reconstruction
Abstract :	[en] DINEOF (Data Interpolating Empirical Orthogonal Functions) is an EOF-based technique to reconstruct missing data in satellite data sets, such as gaps created by the presence of clouds. It is parameter-free, meaning that no a priori information is needed (such as signal to noise ratio, or correlation length) to calculate the missing data: this information is extracted from the data through the EOF decomposition. In addition, computational time is lower than for other frequently used techniques to reconstruct missing data in satellites, such as optimal interpolation. Multivariate reconstructions can be also done, using extended EOFs. These characteristics make DINEOF very suitable for operational reconstruction of satellite data. Recently added to DINEOF is a technique to filter the temporal covariance matrix which allows to reduce spurious variability in the temporal EOFs, and therefore leads to improved reconstructions. We will present a general description of the technology, with examples of applications to different variables. We will also give an example of a near real time reconstruction of sea surface temperature in the western Mediterranean Sea. Conceived as a demonstration product for DINEOF, it is hosted at http://gher-diva.phys.ulg.ac.be/DINEOF/dineof.html and it is automatically updated daily, presenting the cloud-free sea surface temperature for the last ten days, as well as the original data, outliers and error fields.
Research units :	Centre Interfacultaire de Recherches en Océanologie - MARE ; Geohydrodynamics and Environment Research
Funders :	Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/91816

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