气象科学2017，Vol.37Issue(5)：567-578,12.DOI:10.3969/2016jms.0067
EnSRF雷达资料同化对一次强对流天气模拟的影响研究
Impact of EnSRF radar data assimilation on the simulation of a severe convection
摘要
Abstract
By using the Advanced Regional Prediction System (ARPS) and Ensemble Square Root Filter (EnSRF) method with flow dependent background error covariance,through assimilating multiple Doppler radar data,the strong convective weather occurred on June 23,2013 was analyzed.Firstly,the composite radar reflectivity in assimilation tests and observation were compared to verify assimilation effects,moreover,by calculating the Root Mean Square Error (RMSE) and spread,the assimilation results were further evaluated quantitatively.Secondly,the impacts of EnSRF radar assimilation on thermal,dynamical,humidity and microphysical variables were investigated.Finally,the ensemble mean was simulated at a high resolution of 1 km.Results show that EnSRF can assimilate convective system similar to the observations and suppress the false echo.The RMSE of radial velocity and reflectivity reduce significantly.The assimilation experiment has larger range of radar reflectivity in vertical direction and has weaker intensity than that of the control experiment.In the convective region,the strength of surface perturbation potential temperature can decrease by 6 K and the relative humidity can increase by 30％.The rain,ice and snow mixing ratios increase significantly in the convective area.The simulation with the final analysis results can better simulate the severe storm.关键词
强对流/组合反射率因子/集合均方根滤波/雷达资料同化Key words
Convection/Composite radar reflectivity/EnSRF/Radar data assimilation分类
天文与地球科学引用本文复制引用
黄丹莲,高士博,闵锦忠..EnSRF雷达资料同化对一次强对流天气模拟的影响研究[J].气象科学,2017,37(5):567-578,12.基金项目
国家重点基础研究发展计划(973计划)项目(2013CB43013) （973计划）
江苏省普通高校研究生科研创新计划项目(KYLX_0844) （KYLX_0844）
江苏省普通高校研究生科研创新计划项目(KYLX_0829) （KYLX_0829）
