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Nonlinear complex principal component analysis of the tropical Pacific interannual wind variability

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Title: Nonlinear complex principal component analysis of the tropical Pacific interannual wind variability
Author: Rattan, Sanjay S. P.; Hsieh, William W.
Issue Date: 2004-10-02
Publicly Available in cIRcle 2011-03-23
Publisher American Geophysical Union
Citation: Rattan, Sanjay S. P., Hsieh, William W. 2004. Nonlinear complex principal component analysis of the tropical Pacific interannual wind variability. Geophysical Research Letters. 31 L21201 dx.doi.org/10.1029/2004GL020446
Abstract: Complex principal component analysis (CPCA) is a linear multivariate technique commonly applied to complex variables or 2-dimensional vector fields such as winds or currents. A new nonlinear CPCA (NLCPCA) method has been developed via complex-valued neural networks. NLCPCA is applied to the tropical Pacific wind field to study the interannual variability. Compared to the CPCA mode 1, the NLCPCA mode 1 is found to explain more variance and reveal the asymmetry in the wind anomalies between El Niño and La Niña states. An edited version of this paper was published by AGU. Copyright 2004 American Geophysical Union.
Affiliation: Earth and Ocean Sciences, Dept. of (EOS), Dept of
URI: http://hdl.handle.net/2429/32807
Peer Review Status: Reviewed
Scholarly Level: Faculty

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