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水物质辐射效应对卫星观测模拟误差的影响分析 被引量:3

RADIANT EFFECT OF WATER CONTENT ON THE SIMULATION ERROR OF SATELLITE OBSERVATION
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摘要 受云和降水影响的卫星资料在数值天气预报中的同化应用,对于进一步改善数值预报效果具有重要的作用,这部分工作的开展要求在快速辐射传输模式中能够较好地考虑各种水物质的辐射效应。使用美国卫星资料同化联合中心新近开发的快速辐射传输模式CRTM,通过中尺度数值模式WRF的预报输出提供其水物质输入,试验分析了快速辐射传输模式中水物质效应对卫星观测模拟计算的影响。在WRF模式预报水物质分布与天气系统配置合理并符合云物理基本特征的基础上,水物质辐射效应的考虑极大地改善了卫星观测模拟的效果。结合卫星各通道探测特性,进一步分析了各种水物质粒子对NOAA16 AMSUA/B各通道卫星亮温模拟的影响和物理机理,定量统计了各类水物质对各卫星观测通道亮温计算偏差和水物质对各通道偏差贡献的权重大小。分析结果表明,快速辐射传输模式中水物质效应的考虑为数值天气预报中云雨区卫星资料的同化应用提供了必需的基础条件。 The assi milated satellite data affected by cloud and rain greatly influences the improvement of the accuracy of numerical forecast. The radiant effect of water content needs to be suitably considered in the Rapid Radiant Transfer Model (RRTM). In this paper, the radiant effect of water content on the simulation of satellite observation in the RRTM is analyzed. The CRTM model developed recently by the Joint Center for Satellite Data Assimilation, USA is applied to test the water content effect from RRTM on the simulation of satellite observation. The output of the regional mesoscale model WRF provides the water content input of CRTM. Under the circumstances that the distribution of water content output corresponds well with the weather system and physical characteristics, the consideration of the radiant effect of water content in the RRTM can greatly improve the simulation results of satellite observation. The effects of different kinds of water content on the simulation of different satellite observation channels, as well as their physical mechanisms, are investigated. The quantitative statistics of the bias and the proportion of each kind of water content's influence on each NOAA 16 AMSUA/B satellite channel are performed. The results show that the inclusion of the radiant effect of water content in the RRTM can benefit the use of satellite date affected by cloud and rain in the numerical weather forecast.
出处 《气象与减灾研究》 2009年第1期57-62,F0003,共7页 Meteorology and Disaster Reduction Research
关键词 快速辐射传输模式 CRTM 水物质 辐射效应 卫星资料同化 Atmospheric vortex, Decomposition of velocity field, Singular point, Eigenvalue.
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