A Temporal Extension to Traditional Empirical Orthogonal Function Analysis

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2002

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This paper describes the application of temporal maximum autocorrelation factor analysis to global monthly mean values of 1996-1997 sea surface temperature (SST) and sea surface height (SSH) data. This type of analysis can be considered as an extension of traditional empirical orthogonal function (EOF) analysis, which provides a non-temporal analysis of one variable over time. The temporal extension proves its strength in separating the signals at different periods in an analysis of relevant oceanographic properties related to one of the largest El Niño events ever recorded.
Original languageEnglish
Title of host publicationAnalysis of Multi-Temporal Remote Sensing Images (MultiTemp2001, Trento, Italy)
PublisherWorld Scientific Publishing Co Pte Ltd
Publication date2002
Pages164-170
StatePublished

Workshop

Workshop1st International Workshop on the Analysis of Multitemporal Remote Sensing Images
Number1
CountryItaly
CityTrento
Period13/09/0114/09/01
Internet addresshttp://www.ing.unitn.it/~multi/Multitemp2001/
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