ORBi: Alvera Azcarate Aïda - Enhancing temporal correlations in EOF expansions for the reconstruction of missing data using DINEOF

Reference : Enhancing temporal correlations in EOF expansions for the reconstruction of missing 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/2268/26264

Title :	Enhancing temporal correlations in EOF expansions for the reconstruction of missing data 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) > Océanographie physique >]
	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) > Océanographie physique >]
Publication date :	2009
Journal title :	Ocean Science
Publisher :	European Geosciences Union
Volume :	5
Issue/season :	4
Pages :	475-485
Audience :	International
ISSN :	1812-0784
Keywords :	[en] DINEOF ; Missing data ; Filter ; Sea surface temperature ; Black Sea
Abstract :	[en] DINEOF (Data Interpolating Empirical Orthogonal Functions) is an EOF-based technique for the reconstruction of missing data in geophysical fields, such as those produced by clouds in sea surface temperature satellite images. A technique to reduce spurious time variability in DINEOF reconstructions is presented. The reconstruction of these images within a long time series using DINEOF can lead to large discontinuities in the reconstruction. Filtering the temporal covariance matrix allows to reduce this spurious variability and therefore more realistic reconstructions are obtained. The approach is tested in a three years sea surface temperature data set over the Black Sea. The effect of the filter in the temporal EOFs is presented, as well as some examples of the improvement achieved with the filtering in the SST reconstruction, both compared to the DINEOF approach without filtering.
Research units :	Centre Interfacultaire de Recherches en Océanologie - MARE
Funders :	Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/26264
Other URL :	http://www.ocean-sci-discuss.net/6/1547/2009/osd-6-1547-2009.html

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