25 Sea surface temperature (SST) indexes in winter, which was utilized in monitoring service of the National Climate Centre for characterizing Sea surface temperature anomalies (SSTA) distribution in different regions from 1951 to 2014, was selected to be clustered by using the Systematic Clustering Analysis to study the main types of global SST variability's (except the Arctic Ocean).The global SST indexes were divided into four categories by analyzing the correlation between the SST of different regions.Four kinds of SSTA distribution and characteristics types in winter have been put forward according to the corresponding sea areas space distribution and the time series variation characteristics described by each category:Eastern ENSO SSTA type (CategoryⅠ), central ENSO SSTA type (CategoryⅡ), Inter-decadal SSTA variation features type in the west Pacific warm pool and the North Atlantic Ocean (CategoryⅢ).The SSTA diffusion distribution type under the action of equatorial wind current and western boundary current(CategoryⅣ).The indexes of the first and second category have shown an obvious inter-annual oscillation characteristics while the indexes of the third category showed the Inter-decadal characteristics evidently.On these basis, the index of each category was integrated, merging the global SST variabilities into less variances and laying a foundation for further studies of the characteristics of global SST and cooperative effects of SSTA in multi sea areas on climate variabilities.
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