Application of ATOVS radiance assimilation to numerical simulation of a mesoscale heavy rainfall

H. Bing, Bai Jie, Li Wei, Xiaoting Wang
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Abstract

Based on ATOVS data and conventional sounding data, two assimilation experiments are performed to simulate a heavy rainfall over the middle-lower reaches of Yangtze River and the east of southwest China from June 22 to 24 in 2004 by using model MM5. In the NOATOVS experiment, only conventional sounding data are assimilated based on the successive correction scheme, while in the ATOVS experiment, the ATOVS radiance data are assimilated by using the GRAPES (Global and Regional Assimilation and Prediction System) 3D-Var system. The effect of the radiance data on the background field is analyzed. It indicates that direct assimilation of ATOVS radiance data could improve the temperature, humidity and wind fields within the troposphere. Moreover, the comparison between the results of the two experiments shows that ATOVS experiment can not only simulate the circulation pattern well, but also describe the intensity and the distribution of the rainfall better than the NOATOVS experiment.
ATOVS辐射同化在一次中尺度暴雨数值模拟中的应用
基于ATOVS资料和常规探测资料,利用MM5模式对2004年6月22 ~ 24日长江中下游及西南东部地区的一次强降水进行了同化试验。在NOATOVS实验中,仅基于逐次校正方案同化常规探测数据,而在ATOVS实验中,使用GRAPES (Global and Regional Assimilation and Prediction System) 3D-Var系统同化ATOVS辐射数据。分析了辐射度数据对背景场的影响。结果表明,直接同化ATOVS辐射数据可以改善对流层内的温度、湿度和风场。两种试验结果的对比表明,ATOVS试验不仅能较好地模拟环流型,而且能较好地描述降水的强度和分布。
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