THE LINEAR AND NONLINEAR STATISTICAL STUDY OF WESTERN PACIFIC PHYSICAL FIELD WITH TROPICAL CYCLONES IN SOUTH CHINA
TAN Jin-kai
LIU He-xiang
CHEN Yan-xuan
Abstract：Western Pacific sea surface temperatures (SST),sea level pressure (SLP),500 hPa geopotential height (HGT) were selected into a physical factors field,and the average frequency of each TC in the south of China,values of average annual lowest air pressure,and annual maximum wind speed were used as a physical field that were surveyed and calculated for the time from 1949 to 2013.Principal component analysis(PCA) and kemel principal component analysis(KPCA) algorithms were used to extract principal component factor fields.On this basis,the first six games of the principal components were taken for powerspectrum estimation and cohesion spectrum analysis.Finally,canonical correlation analysis(CCA) and kemel canonical correlation analysis(KCCA) algorithms were used for canonical correlation analysis on the factor field and physical field.The results show that based on KPCA the explained variance contribution rates of the first six components are higher than that with PCA.The first components of SST,SLP and HGT fields have periodic fluctuations of about 18 years.Meanwhile,for the fluctuation of 2 to 3 years,the cross correlation of oscillation frequency is the strongest.The nonlinear canonical correlation coefficient is higher than the linear coefficient.
Keywords：tropical cycloneprincipal componentpower spectrum estimationperiodcanonical correlation
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 119-126 )