Recent sea level change analysed with kernel EOF

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

Abstract

This paper describes the application of a kernel version of empirical orthogonal functions (EOF) to detect patterns of interest in global monthly mean sea surface height anomalies from satellite altimetry during the last 17 years. The kernel version is based on a dual formulation also termed Q-mode analysis in which the data enter into the analysis via inner products in the Gram matrix only. In the kernel version the inner products are replaced by inner products between nonlinear mappings into higher dimensional feature space of the original data. Via kernel substitution also known as the kernel trick these inner products between the mappings are in turn replaced by a kernel function and all quantities needed in the analysis are expressed in terms of this kernel function. Results from the last 17 years have been obtained from analysing joint TOPEX and JASON-1 data over the period 1992-2008. Preliminary analysis shows some interesting features related to climate change and particularly the pulsing of the El Niño/Southern Oscillation. Large scale ocean events associated with the El Niño/Southern Oscillation related signals are conveniently concentrated in the first SSH kernel EOF modes.
Original languageEnglish
Title of host publication15. danske havforskermøde
Number of pages116
Publication date2009
Publication statusPublished - 2009
EventDanish Ocean Researchers' Meeting - Elsinore, Denmark
Duration: 1 Jan 2009 → …
Conference number: 15

Conference

ConferenceDanish Ocean Researchers' Meeting
Number15
CityElsinore, Denmark
Period01/01/2009 → …

Cite this