@ARTICLE\{IMM2002-0491, author = "A. A. Nielsen and K. Conradsen and O. B. Andersen", title = "A Change Oriented Extension of {EOF} Analysis Applied to the 1996-1997 {AVHRR} Sea Surface Temperature Data", year = "2002", month = "dec", pages = "1379-1386", journal = "Physics and Chemistry of the Earth", volume = "27", editor = "H.-P. Plag, L. Fenoglio-Marc and C.K. Shum", number = "32-34", publisher = "Elsevier", url = "http://www2.compute.dtu.dk/pubdb/pubs/491-full.html", abstract = "This paper describes the application of orthogonal transformations to detect multivariate change in the monthly mean sea surface temperature (SST) as given by the {NOAA}/{NASA} Oceans Pathfinder data. The transforms applied include multivariate alteration detection (MAD) variates based on canonical correlation analysis, and maximum autocorrelation factors (MAFs). The method described can be considered as an extension to {EOF} analysis that is specially tailored for change detection in spatial data since it first maximises differences in the data between two points in time and then maximises autocorrelation between neighbouring observations. The results show that the large scale ocean events associated with the El Nino/Southern Oscillation (ENSO) related changes are concentrated in the first {SST} {MAF}/{MAD} mode and the two first {SSH} {MAF}/{MAD} modes. The {MAD}/{MAF} analysis also revealed a spatially correlated structure in the Western Mediterranean Sea that turned out to be related to a strong semi-annual variation in the {SST} for 1997 which was difficult to resolve from a traditional principal component analysis.", isbn_issn = "1474-7065" }