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

机译:ATOVS辐射同化在中尺度暴雨数值模拟中的应用

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摘要

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.
机译:根据ATOVS数据和常规测深数据,利用MM5模型,进行了两个同化实验,模拟了2004年6月22日至24日在长江中下游和西南东部地区的一次强降雨。在NOATOVS实验中,仅基于连续校正方案吸收常规的探测数据,而在ATOVS实验中,使用GRAPES(全球和区域同化和预测系统)3D-Var系统吸收ATOVS辐射数据。分析了辐射数据对背景场的影响。这表明对ATOVS辐射数据的直接同化可以改善对流层内的温度,湿度和风场。此外,两个实验结果的比较表明,ATOVS实验不仅可以很好地模拟环流模式,而且比NOATOVS实验更好地描述了降雨的强度和分布。

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