气象2017，Vol.43Issue(8)：901-911,11.DOI:10.7519/j.issn.1000-0526.2017.08.001
地面观测资料在快速更新同化系统中的敏感性试验
Sensitivity Analysis of Surface Observation Data in WRF-ADAS Rapid Refresh System
摘要
Abstract
Using SMS-WARR and rapid refresh technique,the sensitivity of surface observation data (surface conventional observation data,automatic weather station data) to the numerical simulation of the severe convection event which occurred in Shanghai on July 31 2011 was analyzed.Four comparison experiments were designed to study the assimilation of surface observation data.The results showed that the adjustment of model initial fields varies with assimilating different surface observation data.The density of surface observation data has impacts on initial fields.The initial temperature and wind fields are obviously affected by assimilating the automatic weather station data.After assimilating conventional surface observation data and automatic weather station data,we found that the model can not only well simulate the process of this severe convection,but also simulate the surface temperature,wind field and evolution of convergence line which is more consistent with the observation.Through the analysis and comparison of the initial fileds and simulation results,we also found that the assimilation of all the observation data can improve the initial values of the model,and the observation data are integrated into the model by the mode of rapid refresh,which enhances the characterization of mesoscale structure of server convection,and improved simulation capacity of the local severe convective systems.关键词
快速更新同化系统/地面观测资料/常规地面观测/自动气象站Key words
rapid refresh system/surface observation data/surface conventional observation/automatic weather station分类
天文与地球科学引用本文复制引用
王平,王晓峰,张蕾,李佳,许晓林..地面观测资料在快速更新同化系统中的敏感性试验[J].气象,2017,43(8):901-911,11.基金项目
上海市科学技术委员会重点基金(13231203300)、国家科技支撑计划项目(2012BAC21B02)和上海市气象局科技开发项目(QM201708)共同资助 （13231203300）
