多普勒雷达资料在一次强飑线天气过程的同化应用试验  

Experiment of Doppler Radar Data Assimilation for a Squall Line Process

作　　者：苏万康[1,2] 

机构地区：[1]兰州大学大气科学学院,甘肃兰州730000 [2]福建省气象局,福建福州350001

出　　处：《安徽农业科学》2011年第18期10964-10967,10976,共5页Journal of Anhui Agricultural Sciences

摘　　要：利用CAPS(Center for Analysis and Prediction of Storm)研发的ARPS中尺度模式及其资料分析和同化系统ADAS,将广东和福建6部多普勒雷达基数据同时同化进ARPS模式中,对2005年3月22日发生在福建中南地区大范围的一次强飑线天气过程进行了数值对比试验。结果表明,经过雷达资料同化后,ARPS模式对飑线天气系统有较强的模拟能力,降低了模拟强飑线在时间和空间上的误差,改善预报结果;采用循环同化多部雷达资料技术,有助于在实际业务中提高强对流天气短时预报能力。Using Mesoscale ARPS model and its data analysis system ADAS（ARPS Data Analysis System）which were developed at the Center for Analysis and Prediction of Storms, the University of Oklahoma, six Doppler radars cardinal data were assimilated and comparative experiments were conducted for the squall line process which occurred in central and southern Fujian Province on 22 March 2005. The results showed that ARPS model have a stronger ability to simulate squall line process, radar data assimilation can reduce the strong squall line simulation in time and space errors, ARPS model can improve numerical prediction; using cyclic multiple radar data assimilation techniques, the model is able to improve short-term forecasting of severe convective weather in real-time applications.

关 键 词：雷达资料同化 ARPS模式 飑线 ADAS 

分 类 号：S163[农业科学—农业气象学]