加权平均温度模型对GPS水汽反演的影响  

Impact analysis on localization of T_m model in GPS precipitable water vapor retrieval

作　　者：罗宇[1] 罗林艳 吕冠儒 LUO Yu;LUO Linyan;LV Guanru(China Meteorological Training Center Hunan Branch,Changsha 410125,China;Hunan Meteorological Information Center,Changsha 410118,China)

机构地区：[1]中国气象局气象干部培训学院湖南分院,长沙410125 [2]湖南省气象信息中心,长沙410118

出　　处：《测绘科学》2018年第9期6-9,15,共5页Science of Surveying and Mapping

基　　金：湖南省气象局短平快项目(XQKJ17B099)

摘　　要：针对加权平均温度(Tm)模型对GPS水汽反演精度影响的问题,该文基于无线电探空资料,利用线性回归分析方法建立湖南地区Tm模型,以此模型反演GPS可降水量。通过与无线电探空资料对比,分析Tm本地化对GPS水汽反演精度的影响。对2016年4月至12月临近长沙、怀化和郴州的GPS可降水量进行反演,结果表明:较Bevis Tm模型,采用本地化的Tm模型反演得到的GPS可降水量精度更高,和无线电探空测得可降水量对比,平均偏差分别降低了25.68%、36.87%和13.70%,均方根误差分别降低了1.40%、1.93%和1.36%。According to the problem of precision in GPS water vapor retrieval,a localized weighted mean temperature（Tm）model was builded based on radiosonde data,and the GPS precipitable water vapor（PWV）was calculated using this Tm model and Bevis Tm model respectively of regions near Changsha, Huaihua,Chenzhou from April to December in 2016.Compared with PWVcalculated by radiosonde data,the localized Tm model had relatively high accuracy with the average deviation reduced by 25.68%,36.87% and 13.70% respectively,the root mean square error reduced by 1.40%,1.93% and 1.36%respectively.

关 键 词：GPS水汽 加权平均温度 大气遥感 

分 类 号：P412[天文地球—大气科学及气象学]