%0 Journal Article
%T Application of retrospective time integration scheme to the prediction of torrential rain
%A Feng Guo-Lin
%A Dong Wen-Jie
%A Jia Xiao-Jing
%A <br>封国林
%A 董文杰
%A 贾晓静
%J 中国物理 B
%D 2004
%I 
%X The retrospective time integration scheme presented on the principle of the self-memory of the atmosphere is applied to the mesoscale grid model MM5, constructing a mesoscale self-memorial model SMM5, and then the short-range prediction experiments of torrential rain are performed in this paper. Results show that in comparison with MM5 the prediction accuracy of SMM5 is obviously improved due to its utilization of multiple time level past observations, and the precipitation area and intensity predicted by SMM5 are closer to observational fields than those by MM5.
%K mesoscale numerical model
%K short-range weather prediction
%K atmospheric self-memory
%K retrospective time integration scheme
%K torrential rain<br>短期天气预报
%K 大气自记忆
%K 急流雨
%K 数字模式
%K 时间整合配置
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=CD8D6A6897B9334F09D8D1648C376FB4&aid=35F3DD2FD0DEE3837A9A7DE6AD6EC78A&yid=D0E58B75BFD8E51C&vid=FC0714F8D2EB605D&iid=38B194292C032A66&sid=09AA1448D1EAF9C1&eid=B941678158018439&journal_id=1009-1963&journal_name=中国物理&referenced_num=0&reference_num=26