The goal of this study is to further explore the nonlinear correlation characteristics between variables in the tropical Pacific ocean-atmosphere system. The data used include the sea surface temperature (SST) data provided by the Hadley Center, and the sea surface wind field and sea level pressure data provided by the U.S. National Center for Environmental Prediction (NCEP) and the National Center for Atmospheric Research (NCAR). The empirical orthogonal function (EOF) analysis and the nonlinear canonical correlative analysis (NLCCA) are used to analyze nonlinear correlations among SST, sea surface wind and sea level pressure. The results show that the Pacific warm pool in the abnormal warming state and the westerly wind anomalies in the tropical western Pacific are two foreboding conditions of ENSO events. Using the singular value decomposition (SVD) method, combined with the NLCCA method, the area affected by coupling and the distribution characteristics of the anisotropic relationship of SST, sea surface wind and sea level pressure in the tropical Pacific Ocean are also analyzed. The results show good correlations exist among the tropical Pacific westerly anomaly, the western Pacific subtropical high and ENSO cycle.
HONG Mei
,
ZHANG Ren
,
YU Dan-dan
,
DONG Zhao-jun
,
LI Can
. Diagnostic analysis of nonlinear correlation characters between the variables in the tropical Pacific Ocean and ENSO[J]. Journal of Tropical Oceanography, 2014
, 33(2)
: 28
-36
.
DOI: 10.11978/j.issn.1009-5470.2014.02.004
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