Reference : Approximate and Efficient Methods to Assess Error Fields in Spatial Gridding with Dat...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/161069
Approximate and Efficient Methods to Assess Error Fields in Spatial Gridding with Data Interpolating Variational Analysis (DIVA)
English
Beckers, Jean-Marie mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Barth, Alexander mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Troupin, Charles mailto [IMEDEA > > > >]
Alvera Azcarate, Aïda mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Feb-2014
Journal of Atmospheric & Oceanic Technology
American Meteorological Society
31
2
515-530
Yes (verified by ORBi)
International
0739-0572
Boston
MA
[en] data analysis ; oceanography ; variational analysis ; DIVA ; SeaDataNet
[en] We present new approximate methods to provide error fields for the spatial analysis tool Diva. It is first shown how to replace the costly analysis of a large number of covariance functions by a single analysis for quick error computations. Then another method is presented where the error is only calculated in a small number of locations and from there the spatial error field itself interpolated by the analysis tool. The efficiency of the methods is illustrated on simple schematic test cases and a real application in the Mediterranean Sea. These examples show that with these methods one has the possibility for quick masking of regions void of sufficient data and the production of "exact" error fields at reasonable cost. The error-calculation methods can also be generalized for use with other analysis methods such as 3D-Var and are therefore potentially interesting for other implementations.
GHER
Union Européenne = European Union - UE = EU ; Commission européenne : Direction générale des Affaires maritimes et de la Pêche ; Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
SeaDataNet II, Sangoma, EMODNET Chemistry 2, SANGOMA
Researchers
http://hdl.handle.net/2268/161069
also: http://hdl.handle.net/2268/165648
10.1175/JTECH-D-13-00130.1
http://journals.ametsoc.org/doi/abs/10.1175/JTECH-D-13-00130.1
FP7 ; 283607 - SEADATANET II - SeaDataNet II: Pan-European infrastructure for ocean and marine data management

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