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ATOVS资料同化方案对暴雨模拟效果的影响
引用本文:张斌,张立凤,熊春晖.ATOVS资料同化方案对暴雨模拟效果的影响[J].大气科学,2014,38(5):1017-1027.
作者姓名:张斌  张立凤  熊春晖
作者单位:解放军理工大学气象海洋学院, 南京211101
基金项目:国家自然科学基金项目41375063、41205074
摘    要:本文利用WRF 模式及其3DVar 同化系统,以2009 年6 月29 日00 时到30 日00 时的湖北鹤峰暴雨为研究个例,对ATOVS 探测器的AMSU-A、AMSU-B 和HIRS 三类资料进行了不同的同化方案试验。结果表明:同化ATOVS 三类资料对暴雨模拟的影响不同,HIRS 资料对暴雨模拟效果改进最大,AMSU-B 次之,AMSU-A 最小。同时同化ATOVS 三类资料时,AMSU-A 资料起主要作用,其同化效果与同时同化ATOVS 三类资料相近,优化组合同化AMSU-B 和HIRS 资料的效果最好。同化ATOVS 不同资料对初始要素场的影响不同,AMSU-A 资料主要影响大气温度场,AMSU-B 资料对中高空要素场的影响较大,HIRS 资料对低空湿度场及风场的协同改变最有利于降水模拟的改善。同时ATOVS 资料的稀疏分辨率也是影响同化效果的一个因子,在模式分辨率不变时,同化资料稀疏分辨率可能存在最佳选择。

关 键 词:暴雨    ATOVS    资料    变分同化    稀疏化    数值模拟
收稿时间:2013/7/16 0:00:00
修稿时间:1/8/2014 12:00:00 AM

Effects of ATOVS Data Assimilation Schemes on the Simulation of Heavy Rain
ZHANG Bin,ZHANG Lifeng and XIONG Chunhui.Effects of ATOVS Data Assimilation Schemes on the Simulation of Heavy Rain[J].Chinese Journal of Atmospheric Sciences,2014,38(5):1017-1027.
Authors:ZHANG Bin  ZHANG Lifeng and XIONG Chunhui
Institution:College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101
Abstract:In this paper, the Weather Research and Forecasting (WRF) model and its 3DVar assimilation system were used to examine a heavy rain event that occurred in Hefeng, Hubei Province, from 0000 UTC June 29 to 0000 UTC June 30, 2009, for which assimilation experiments were conducted with various schemes of Advanced Television and Infrared Observational Satellite (TIROS; ATOVS) including advanced microwave sounding unit (AMSU)-A, AMSU-B, and High-Resolution Infrared Sounder (HIRS) data. The effect on the simulation of heavy rain differed according to the assimilation of the three different types of ATOVS data. HIRS data produced a larger improvement on the simulation of heavy rain; AMSU-B data was inferior to the HIRS data; and the AMSU-A data appeared to show the poorest improvement. AMSU-A data produced the main effect on the assimilation result, which was close to the effect of assimilating the three types of ATOVS data simultaneously. The assimilation of the optimal combination containing AMSU-B and HIRS data was the best. Assimilation of various types of data led to varied effects on the initial field. AMSU-A data contributed mainly to the adjustment of the atmospheric temperature, whereas the effect of AMSU-B data was mainly at the middle and upper atmosphere. The assimilation of HIRS, resulted in the collaborative change on the humidity and wind field at the lower atmosphere that was most conducive to improvement of the precipitation simulation. When the model resolution was unchanged, best thinning resolution was noted.
Keywords:Rainfall  ATOVS data  Variational assimilation  Thinning  Numerical simulation
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