Reference : Data Interpolating Empirical Orthogonal Functions (DINEOF): a tool for geophysical data ...

	Document type :	Scientific journals : Article
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
	To cite this reference:	http://hdl.handle.net/2268/87104

Title :	Data Interpolating Empirical Orthogonal Functions (DINEOF): a tool for geophysical data analyses
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 >]
	Lenartz, Fabian [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Océanologie >]
	Beckers, Jean-Marie [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Publication date :	In press
Journal title :	Mediterranean Marine Science
Publisher :	Hellenic Centre for Marine Research
Special issue title :	Special Issue for the IMDIS 2008 conference
Audience :	International
ISSN :	1791-6763
Keywords :	[en] Missing data reconstruction ; DINEOF ; software distribution
Abstract :	[en] An overview of the technique called DINEOF (Data Interpolating Empirical Orthog- onal Functions) is presented. DINEOF reconstructs missing information in geophys- ical data sets, such as satellite imagery or time series. A summary of the technique is given, with its main characteristics, recent developments and future research di- rections. DINEOF has been applied to a large variety of oceanographic variables in various domains of different sizes. This technique can be applied to a single variable (monovariate approach), or to several variables together (multivariate approach), with no complexity increase in the application of the technique. Error fields can be computed to establish the accuracy of the reconstruction. Examples are given to illustrate the capabilities of the technique. DINEOF is freely offered to download, and help is provided to users in the form of a wiki and through a discussion email list.
Funders :	Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS ; Politique Scientifique Fédérale (Belgique) = Belgian Federal Science Policy
Name of the research project :	RECOLOUR
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/87104

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