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卫星亮温资料四维同化方案及其对"7·20"武汉特大暴雨的模拟试验
引用本文:孟智勇,徐祥德,陈联寿.卫星亮温资料四维同化方案及其对"7·20"武汉特大暴雨的模拟试验[J].大气科学,2002,26(5):663-676.
作者姓名:孟智勇  徐祥德  陈联寿
作者单位:中国气象科学研究院,北京,100081
基金项目:国家重点基础研究发展规划项目G1998040911资助
摘    要:作者首次把与云参数相关的云顶亮温(TBB)资料直接用于中尺度模式MM5V2的牛顿张驰逼近(nudging)四维同化过程,提出了一种通过分析场的nudging四维同化来确定云顶高度的方法,并利用1 h间隔的TBB-nudging方案成功地模拟了"7@20"武汉大暴雨过程.TBB-nudging试验的模拟结果表明对流层低层中尺度低涡和低空西南急流是"7@20"大暴雨的主要影响系统,这预示着把卫星遥感资料(例如TBB等)用于中尺度模式的同化过程有可能提高中尺度暴雨的预报能力.

关 键 词:云顶温度    四维资料同化    暴雨
修稿时间:1/1/2002 12:00:00 AM

TBB-Nudging Four-Dimensional Data Assimilation Method and Simulations on Heavy Rain Process in Wuhan on 20 July, 1998
Meng Zhiyong,Xu Xiangde and Chen Lianshou.TBB-Nudging Four-Dimensional Data Assimilation Method and Simulations on Heavy Rain Process in Wuhan on 20 July, 1998[J].Chinese Journal of Atmospheric Sciences,2002,26(5):663-676.
Authors:Meng Zhiyong  Xu Xiangde and Chen Lianshou
Abstract:The TBB data are directly adopted in nudging four-dimensional data assimilation process of meso-scale model MM5V2. A technique to calculate the height of cloud top through analysis nudging process is put forward. With the hourly TBB -nudging method, the heavy rainfall process happening in Wuhan on 20 July, 1998 is successfully simulated. Result shows that the meso-scale vortex and lower level southwest jet are the main systems causing Wuhan July 20 heavy rain. These results suggest that the accuracy of heavy rain forecast may be improved with remote sensing data such as TBB assimilated into numerical model.
Keywords:cloud top temperature  four-dimensional data assimilation  heavy rain
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