Article (Scientific journals)
EOF calculations and data filling from incomplete oceanographic datasets
Beckers, Jean-Marie; Rixen, M.
2003In Journal of Atmospheric and Oceanic Technology, 20 (12), p. 1839-1856
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Abstract :
[en] The paper presents a new self-consistent method to infer missing data from oceanographic data series and to extract the relevant empirical orthogonal functions. As a by-product, the new method allows for the detection of the number of statistically significant EOFs by a cross-validation procedure for a complete or incomplete dataset, as well as the noise level and interpolation error. Since the proposed filling and analysis method does not need a priori information about the error covariance structure, the method is self-consistent and parameter free.
Research center :
Centre Interfacultaire de Recherches en Océanologie - MARE - GHER
Disciplines :
Civil engineering
Earth sciences & physical geography
Author, co-author :
Beckers, Jean-Marie  ;  Université de Liège - ULiège > Département d'astrophys.
Rixen, M.
Language :
English
Title :
EOF calculations and data filling from incomplete oceanographic datasets
Publication date :
December 2003
Journal title :
Journal of Atmospheric and Oceanic Technology
ISSN :
0739-0572
eISSN :
1520-0426
Publisher :
Amer Meteorological Soc, Boston, United States
Volume :
20
Issue :
12
Pages :
1839-1856
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 16 January 2009

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