%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
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
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