A Temporal Extension to Traditional Empirical Orthogonal Function Analysis

Allan Aasbjerg Nielsen, Klaus Baggesen Hilger, Ole Baltazar Andersen, Per Knudsen, Lorenzo Bruzzone et al. (Editor)

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    Abstract

    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
    Publication date2002
    Pages164-170
    Publication statusPublished - 2002
    Event1st International Workshop on the Analysis of Multitemporal Remote Sensing Images - Trento, Italy
    Duration: 13 Sep 200114 Sep 2001
    Conference number: 1
    http://www.ing.unitn.it/~multi/Multitemp2001/

    Workshop

    Workshop1st International Workshop on the Analysis of Multitemporal Remote Sensing Images
    Number1
    Country/TerritoryItaly
    CityTrento
    Period13/09/200114/09/2001
    Internet address

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