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《Meteorological Monthly》 2014-10
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Winter Temperature Anomalies in South China and Its Relation to ENSO

WU Hongyu;PAN Weijuan;WANG Ting;Climate Centre of Guangdong;Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMA;  
Based on the monthly temperature data of 192 observational stations in South China,NCEP/NCAR reanalysis monthly temperature data and ENSO monitoring data by NCC,the relationship between winter temperature in South China and ENSO is studied by using the methods of correlation analysis,composition analysis and so on.The results show that the response of the winter temperature in South China to La Nina event is more obvious than to El Nino event.In La Nina year,the winter temperature in South China is lower than in normal years.The significantly low temperature appears in extremely strong La Nina years,but the temperature is high ohviously in central pattern La Nina events.The winter temperature in South China is mainly lower(higher) than that in normal years when La Nina(El Nino) event is in east pattern,and the peak months of Nino SSTA are in autumn and winter.In La Nina years,there is an abnormal cyclone circulation in the Pacific subtropical high and abnormal north wind in the low troposphere.North Pacific high,Ural Mountains high ridge and the south of East Asia trough also become strong,the West Pacific subtropical high becomes weak in the middle troposphere.The meridional circulation in middle high latitude in East Asia is evident.East-Asian winter monsoon is strong in case of La Nina events,the winter temperature in most regions of China including South China is lower than that in normal years,and vice versa.There are significant interdecadal differences of the effect of El Nino event on the winter temperature in South China.SST variation obviously corresponding to interdecadal variation of the winter temperature in South China is found in North Pacific,and the relationship between the variation and ENSO is not obvious.
【Fund】: 中国气象局华南区域气象中心科技攻关项目(GRMC2014M01);; 广东省科技计划项目(2012A061400012);; 广东气象局科技项目(2013B11);; 广东省气候中心项目(QH201406)共同资助
【CateGory Index】: P732;P423
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