%0 Journal Article
%T On Spatiotemporal Series Analysis and Its Application to Predict the Regional Short Term Climate Process
%A WANG Geli
%A YANG Peicai
%A LU Daren
%A <br>WANG Geli
%A YANG Peicai
%A LU Daren
%J 大气科学进展
%D 2004
%I 
%X Based on the theory of reconstructing state space, a technique for spatiotemporal series prediction is presented. By means of this technique and NCEP/NCAR data of the monthly mean geopotential height anomaly of the 500-hPa isobaric surface in the Northern Hemisphere, a regional prediction experiment is also carried out. If using the correlation coefficient R between the observed field and the prediction field to measure the prediction accuracy, the averaged R given by 48 prediction samples reaches 21%, which corresponds to the current prediction level for the short range climate process.
%K spatiotemporal series
%K regional climate prediction
%K nonlinear prediction<br>NCEP
%K NCAR
%K 数字实验
%K 数值预报
%K 北半球
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=28A2F569B2458C17&jid=5434AFBF6CB6E7E8D67733B541F211C7&aid=420B6B356FD3840D6A20303095DF82A0&yid=D0E58B75BFD8E51C&vid=659D3B06EBF534A7&iid=0B39A22176CE99FB&sid=D0182A31A5EB14BA&eid=BF112261B65CB9C9&journal_id=0256-1530&journal_name=大气科学进展&referenced_num=1&reference_num=17