%0 Journal Article
%T The Rotated Principal Component Analysis on the Regional Features of Summer Precipitation in North China and Their Correlation Analysis<br>华北夏季降水地域特征的旋转主分量研究及其相关分析
%A Sun Shuqing
%A Ying Ming
%A Ma Shujie
%A <br>孙淑清
%A 应明
%A 马淑杰
%J 气候与环境研究
%D 2002
%I 
%X Using the rotated principal component (RPC) analysis method, the distribution features of summer precipitation in North China is studied. Ten leading modes are given which involve the main severe cases of flooding and drought in the history. The most possible distributions for the major flooding (drought) in North China is mainly featured by modes 3. 4 and 10. as 1965, 1968 and 1983 for drought, and 1963, 1973 for flooding. Correlation analysis between the modes and the strength of the Pacific subtropical high, index of the eastern Asia circulation, SST of preceding winter at the equatorial eastern Pacific and the precipitation at the Yangtze-Huaihe River valleys shows that there exists respective optimal mode for them. With respect to the SST at the equatorial eastern Pacific and strength of the Pacific subtropical high, mode 6 bears the highest correlation. This implies that when there appear an El Nino type SST and a stronger western Pacific subtropical high, a severe drought at the eastern coastal area of North China, with more precipitation at the rest areas is likely. As for the precipitation at the Yangtze-Huaihe River valley and EAP flow pattern. Nos. 1 and 9 are the main correlated modes typical of 1954, 1980 and 1991. Normally, they are inversely correlated with the precipitation in North China.
%K precipitation
%K rotated principal component analysis
%K flow pattern in the eastern Asia
%K SST anomaly<br>降水
%K 旋转主分量
%K 东亚环流
%K 海温异常
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=28A2F569B2458C17&jid=484C10BAB5333C14751916EACFF8295F&aid=1DAF4A5BC01FB686&yid=C3ACC247184A22C1&vid=DF92D298D3FF1E6E&iid=CA4FD0336C81A37A&sid=67969BA850333433&eid=7AA74D31F1FF2DCE&journal_id=1006-9585&journal_name=气候与环境研究&referenced_num=8&reference_num=12