【摘要】 以ARPS模式及其资料三维同化系统ARPS3DVAR和复杂云分析模块为研究平台,使用贵阳多普勒雷达的体扫观测资料,分析了雷达反射率因子资料对云微物理量场的同化问题及雷达资料质量控制对同化的影响。结果表明,数值试验中两个不同的云分析方案都能同化出合理的云水场和水凝物场,同时因为水凝物场的调整,位温场和垂直速度场也得到了很好的响应;与没有使用云分析方案的试验比较,使用了云分析方案同化雷达资料的试验,在初始时刻能够调整出一个合理的云微物理量场,减少模式的热启动时间;而没有使用云分析方案的试验在2~3 h后才能调整出一个位置有较大偏差的水凝物场,雷达反射率资料的同化在强对流风暴的模拟中起到了一个非常关键的作用。更多还原

【Abstract】 For the purpose of researching the impact of assimilation of microphysical adjustments using reflectivity of Doppler radar,ARPS model,ARPS3DVAR and a complex cloud analysis procedure were used to assimilate CINRAD/CD Doppler radar data of a severe storm weather case which occurred in Northern Guizhou province(locate in south-west of china).The assimilation and predictions used a 3 km grid nested inside a 15 km one.There were three numerical experiments with different settings for retrieving cloud hydrometeors using Doppler radar reflectivity in our studying.Results showed that the two experiments with complex cloud analysis procedure can analyze a suitable distribution of cloud water and hydrometeors,and the distribution of potential temperature and vertical velocity responded to the adjustment of hydrometeors perfectly.As compared with the EXPR_NOREF experiment without complex cloud analysis,the CNTL-SMITH-REFONLY experiment which used the complex cloud analysis had analyzed a suitable field of cloud water and hydrometeors in model′s initial time,captured the major features of convective storm,so duration of spin up time had been remarkably decreased and the major structure and features of the storm in initial time and over 1 h forecasting time can be suitably simulated,but the experiment without cloud analysis must cost 2 or 3 hours to analyze a field of hydrometeors which has error position.The assimilation of reflectivity of Doppler radar had acted as key role in the simulation of severe convective storm.更多还原