Reference : Multivariate reconstruction of missing data in sea surface temperature, chlorophyll, and...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/9485
Multivariate reconstruction of missing data in sea surface temperature, chlorophyll, and wind satellite fields
English
Alvera Azcarate, Aïda 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) > Océanographie physique >]
Beckers, Jean-Marie mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Océanographie physique >]
Weisberg, Robert H mailto [University of South Florida > College of Marine Science > > >]
2007
Journal of Geophysical Research. Oceans
American Geophysical Union (AGU)
112
C3
C03008
Yes (verified by ORBi)
International
0148-0227
Washington
DC
[en] Multivariate reconstruction ; Missing data ; Empirical Orthogonal Functions
[en] An empirical orthogonal function–based technique called Data Interpolating Empirical Orthogonal Functions (DINEOF) is used in a multivariate approach to reconstruct missing data. Sea surface temperature (SST), chlorophyll a concentration, and QuikSCAT winds are used to assess the benefit of a multivariate reconstruction. In particular, the combination of SST plus chlorophyll, SST plus lagged SST plus chlorophyll, and SST plus lagged winds have been studied. To assess the quality of the reconstructions, the reconstructed SST and winds have been compared to in situ data. The combination of SST plus chlorophyll, as well as SST plus lagged SST plus chlorophyll, significantly improves the results obtained by the reconstruction of SST alone. All the experiments correctly represent the SST, and an upwelling/downwelling event in the West Florida Shelf reproduced by the reconstructed data is studied.
Centre Interfacultaire de Recherches en Océanologie - MARE - GHER
http://hdl.handle.net/2268/9485

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Restricted access
alvera2007.pdfNo commentaryPublisher postprint2.62 MBRequest copy

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.