摘要
ADAS(ARPS Data Assim ilation System)云综合分析采用的是一种物理初值化技术。本文以ARPS(Advanced Regional Pred iction System)云综合分析为基础,设计了一组非常规资料的应用试验,应用ARPS模式对一次典型的短时强降水个例进行了数值模拟研究。结果表明:(1)在ADAS云分析中引入雷达及卫星资料可对湿度场的水平、垂直结构有一定的调整,改善了与对流降水有重要关系的高湿区的分析;(2)引入雷达和卫星资料的云综合分析,可以明显改善强降水发生时间相对迟缓以及模拟前期降水量偏少和降水覆盖面积偏小的现象,使模拟降水场与实际观测较为接近;(3)物理初值化能有效提取非常规资料中的云微物理信息,提高了模式初值质量,从而明显改善模式对强对流降水系统的短时模拟效果。
Based on ADAS（ARPS Data Assimilation System）,an application test of a set of non-conventional data has been designed and ARPS（Advanced Regional Prediction System） has been used to simulate numerically a typical short-term severe convective precipitation case in north China.The results show：（1） Three-dimentional humidity field is modulated when radar and satellite data are used,and humidity field associated with rainfall is thus improved.（2） Heavy rainfall simulation is obviously improved both in amount and coverage in short term,approaching to rainfall observation,when radar and satellite observation have been introduced to model initial field.（3）Microphysical information of cloud could be brought out from radar and satellite data by using physical initialization,and model initial field could also be improved,thus causing the improvement of short-term simulation of convective systems.
出处
《气象科学》
CSCD
北大核心
2010年第4期452-459,共8页
Journal of the Meteorological Sciences
基金
国家自然科学基金项目(40775027)
关键词
强对流降水
物理初值化
数值模拟
Severe convective precipitation Physical initializaton Numerical simulation
