An ACE-based Nonlinear Extension to Traditional Empirical Orthogonal Function Analysis

Klaus Baggesen Hilger; Allan Aasbjerg Nielsen; Ole Andersen; Per Knudsen

An ACE-based Nonlinear Extension to Traditional Empirical Orthogonal Function Analysis

Klaus Baggesen Hilger, Allan Aasbjerg Nielsen, Ole Andersen, Per Knudsen

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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 Niño during the last half of 1997.

Original language	English
Title of host publication	Proceedings of MultiTemp2001 Workshop, Trento, Italy
Publication date	2001
Publication status	Published - 2001
Event	Analysis of Multi-Temporal Remote Sensing Images - MultiTemp2001, Trento, Italy Duration: 1 Jan 2001 → …

Conference

Conference	Analysis of Multi-Temporal Remote Sensing Images
City	MultiTemp2001, Trento, Italy
Period	01/01/2001 → …

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@inproceedings{c535d80c3e13450b872ec7c5310e4096,

title = "An ACE-based Nonlinear Extension to Traditional Empirical Orthogonal Function Analysis",

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 Ni{\~n}o during the last half of 1997.",

author = "Hilger, {Klaus Baggesen} and Nielsen, {Allan Aasbjerg} and Ole Andersen and Per Knudsen",

year = "2001",

language = "English",

booktitle = "Proceedings of MultiTemp2001 Workshop, Trento, Italy",

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AU - Hilger, Klaus Baggesen

AU - Nielsen, Allan Aasbjerg

AU - Andersen, Ole

AU - Knudsen, Per

PY - 2001

Y1 - 2001

N2 - 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 Niño during the last half of 1997.

AB - 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 Niño during the last half of 1997.

M3 - Article in proceedings

BT - Proceedings of MultiTemp2001 Workshop, Trento, Italy

T2 - Analysis of Multi-Temporal Remote Sensing Images

Y2 - 1 January 2001

ER -

An ACE-based Nonlinear Extension to Traditional Empirical Orthogonal Function Analysis

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