Application of retrospective time integration scheme to the prediction of torrential rain

作     者：封国林 董文杰 贾晓静 封国林 董文杰 贾晓静 

作者机构：NationalClimateCenterofChinaBeijing100081China InstituteofAtmosphericPhysicsChineseAcademyofScienceBeijing100029China 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2004年第13卷第3期

页      面：413-422页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：the National Natural Science Foundation of China(Grant 40275031 and 40231006) the Innovation Project of Chinese Academy of Sciences(Grant ZKCX 2-SW-210) the K. C. Wong Education Foundation, Hong Kong 

主　　题：mesoscale numerical model short-range weather prediction atmospheric self-memory retrospective time integration scheme torrential rain 

摘      要：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 shortrange 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.