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ATOVS资料的变分同化对一次暴雨过程预报的影响分析 被引量:12

ANALYZING THE EFFECT OF VARIATIONAL DATA ASSIMILATION OF SATELLITE RADIANCE ON A HEAVY RAIN
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摘要 利用ATOVS卫星辐射率资料和T213资料,采用GRAPES3D-Var同化系统和中尺度暴雨数值模式AREM设计了直接用T213做初始场的控制试验和以T213做背景场直接同化ATOVS辐射率资料的同化试验,对2005年7月9—10日发生在湖北西部-河南南部的一次大暴雨过程进行了数值模拟分析。结果表明,直接同化ATOVS辐射率资料获得的分析场可有效改进温度场和湿度场的分布,尤其是对海上、高原等地的改进明显。对比试验结果表明,同化试验较控制试验可更好地模拟出暴雨的天气形势、主要影响系统,对降雨的落区、强度、暴雨发生时段有更好的反映。 A heavy rain occurred in the area from western Hubei to southern Henan during 9--10 July 2005. The process was analyzed by two numerical simulation experiments; one is the control that used T213 data directly as the initial field and the other is the assimilation experiment that directly used the data as background to assimilate the ATOVS Satellite Radiance data, employing the GRAPES 3D-Var assimilation system and the mesoscale AREM model. The result shows that the analysis field obtained by direct assimilation of the ATOVS Satellite Radiance can improve the distribution of temperature field and humidity field efficiently, especially that of the sea and plateaus. The results of the control indicate that, the assimilation experiment is better than the control in simulating the distribution of temperature and humidity, main affecting systems, the location and intensity and the time of the heavy rain, making it feasible that heavy rains can be simulated better by assimilating the ATOVS Satellite Radiance data.
出处 《热带气象学报》 CSCD 北大核心 2009年第3期314-320,共7页 Journal of Tropical Meteorology
基金 中国气象局风云气象卫星遥感开发与应用项目(FiDAF-2-01) 武汉暴雨研究所科研业务专项(IHR2006K03)共同资助
关键词 同化 ATOVS资料 暴雨过程 ATOVS data assimilation a heavy rain process
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