@CONFERENCE\{IMM2002-0172, author = "K. B. Hilger and A. A. Nielsen and O. Andersen and P. Knudsen", title = "An {ACE-}based Nonlinear Extension to Traditional Empirical Orthogonal Function Analysis", year = "2002", pages = "171-178", booktitle = "Analysis of Multi-Temporal Remote Sensing Images (MultiTemp2001, Trento, Italy)", volume = "", series = "Technical University of Denmark", editor = "L. Bruzzone and P. Smits", publisher = "", organization = "", address = "Trento, Italy", url = "http://www2.compute.dtu.dk/pubdb/pubs/172-full.html", abstract = "This paper shows the application of the empirical orthogonal unctions/principal component transformation on global sea surface height and temperature data from 1996 and 1997. A nonlinear correlation analysis of the transformed data is proposed and performed by applying the alternating conditional expectations algorithm. New canonical variates are found that indicate that the highest correlation between ocean temperature and height is associated with the build-up of the El Niņo during the last half of 1997." }