风廓线雷达资料对GRAPES_MESO数值预报系统影响的初步研究  

Impact of Wind-Profiling Radar Data Assimilation on GRAPES_MESO Model System

作　　者：谭晓伟[1] 徐枝芳[1] 龚建东[1] 

机构地区：[1]中国气象局数值预报中心,北京100081

出　　处：《气象》2016年第1期26-33,共8页Meteorological Monthly

基　　金：公益性行业(气象)科研专项(GYHY201406006)资助

摘　　要：针对一个南方切变线系统降水个例,通过观测系统模拟试验(OSSEs)对我国拟建风廓线雷达观测网内的不同类型风廓线雷达观测资料在GRAPES_MESO系统中的影响、对风廓线雷达观测和探空观测及两者混合使用时在GRAPES_MESO系统中的影响差异进行了初步分析和讨论。试验结果表明,在GRAPES_MESO系统中,风廓线雷达资料对500 hPa高度以下水平风速分析场的修正作用明显优于探空资料;风廓线雷达资料对水平风速分析场的影响高度极限大约在300 hPa附近,经过6h的传播,其影响可以向上继续传播至250 hPa以上高度;在300 hPa高度以下,同化对流层Ⅱ型风廓线雷达资料对水平风速分析场的影响比边界层型风廓线雷达资料略大;单独同化风廓线雷达资料对降水预报的贡献较弱,与探空观测混合使用时有助改进降水预报。A wind-profiling radar network of China is designed. The assimilation of wind-profiling radar observations anticipated from this network is conducted as a series of observing system simulation experi- ments （OSSEs） to study its impact on the GRAPES_MESO model system in a case of south shear line weather. In this OSSEs study, a control simulation without any data assimilated is compared to four OSSE simulations that assimilated wind-profiling radar or sounding data. The root-mean-square error （RMSE） of wind analysis is compared against the control simulation. A significant increase of RMSE of wind analysis is found obviously below 500 hPa level when the wind profile data are used in the assimilation system. The obvious improvement from inclusion of wind profile for RMSE of wind analysis is below 300 hPa roundly. When the wind profile data of troposphere II type are assimilated RMSE of wind analysis is a little larger than that when the wind profile data of boundary layer type are assimilated. The results show the two types of wind-profiling radar neither improve the rainfall prediction obviously, but the rainfall prediction is improved when the sounding data are also assimilated together.

关 键 词：观测系统模拟试验 风廓线雷达 资料同化 

分 类 号：P413[天文地球—大气科学及气象学]