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《Journal of Chengdu University of Information Technology》 2009-05
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Modal characteristics of subsurface sea temperature in winter and summer over tropical Pacific-Indian ocean

LI Xiao-jing1,XIAO Tian-gui1,2,SUN Zhao-bo2,TANG Yi3,HUANG Jin-xia4(1.School of Atmospheric Sciences,CUIT,Chengdu 610225,China;2.Nanjing University of Information Science & Technology,Nanjing 210044,China;4.Meteorological Bureau of Shanwei,Guangdong Province,Shanwei 516600,China)  
Using the global upper layer sea temperature data of the monthly mean anomalies obtained from the US Scripps Institute between 1955 and 1998 the main modal characteristics of every layer sea temperature over the tropical Pacific and Indian Oceans are analyzed by the EOF method.The results show that the variability of the subsurface sea temperature anomalies are out of phase between the east and the west Pacific Ocean which are the leading characteristics of the subsurface sea temperature anomalies over the tropical Pacific and Indian Oceans.The anomalous intensity in winter is obviously stronger than that in summer.The anomalous areas remarkably in winter are equatorial eastern Pacific in the 40m level,eastern Indian and western Pacific Ocean in the 12m level.Those in summer are equatorial eastern Pacific in the 40m level,eastern Indian and western Pacific Ocean in the 160m level.The first eigenvector shows the modal characteristics of El Nino(La Nina) and the second eigenvector shows the modal characteristics of the transport and move from the east to the west Pacific Ocean of the subsurface sea temperature anomalies in 0-60m layer in winter.The first eigenvector shows the modal characteristics of the western Pacific Warm Pool(WPWP) and the second eigenvector shows the modal characteristics of the transport and move from the east to the west Pacific Ocean of the subsurface sea temperature anomalies in 80-400m layer.The eigenvectors show the modal characteristics of El Nino(La Nina) in 0-60m layer and western Pacific Warm Pool in 80-400m layer in summer.
【Fund】: 国家自然科学基金资助项目(40331010)
【CateGory Index】: P731.11
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