摘要
针对当前大气加权平均温度(T_(m))模型在青海省各地区的适用性较差,气象要素顾及较少等问题,提出一种青海地区大气加权平均温度模型精度优化方法:利用青海省4个探空站2014—2018年5 a的数据,通过线性回归的方法构建适用于青海省西宁、都兰、郭勒木得及玉树4个地区的本地化单因子T_(m)模型和多个气象因子参与的本地化多因子T_(m)模型;并通过反演的大气可降水量(PWV)与贝维斯(Bevis)模型和龚绍琦全国模型反演的PWV结果进行对比分析。结果表明,所构建的模型精度均优于现有模型,在反演PWV精度方面也要优于现有模型,可为提高青海地区全球卫星导航系统(GNSS)水汽反演精度提供参考。
Aiming at the problems that the current atmospheric weighted mean temperature(T_(m))model has poor applicability in various regions of Qinghai Province,and meteorological elements are less taken into account,the paper proposed an accuracy optimization method of regional T_(m) model in Qinghai Province:the localized single-factor T_(m) model and the localized multi-factor T_(m) model with the participation of multiple meteorological factors were constructed by linear regression using the data of four sounding stations Xining,Dulan,Guolemud and Yushu in Qinghai Province from 2014 to 2018;and the atmospheric precipitable water vapor(PWV)obtained by inversion was compared with that by Bevis model and Gong Shaoqi national model.Results showed that the accuracy of the proposed model could be better than that of the existing model,and the accuracy of inversion PWV also better than that of the existing model,which would be a reference for improving the accuracy of water vapor inversion of the global navigation satellite system(GNSS)in Qinghai.
作者
董浩杰
杨维芳
李小刚
李得宴
DONG Haojie;YANG Weifang;LI Xiaogang;LI Deyan(Faculty of Geomatics,Lanzhou Jiaotong University/National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring/Gansu Provincial Engineering Laboratory for National Geographic State Monitoring,Lanzhou 730070,China;Qinghai Provincial Institute of Basic Surveying and Mapping,Xining 810001,China;Naval University of Engineering,Wuhan 430033,China)
出处
《导航定位学报》
CSCD
北大核心
2024年第3期72-80,共9页
Journal of Navigation and Positioning
基金
十三五“首批国家重点研发计划课题”支持项目(2016YFB0501802)
国家自然科学基金项目(42061076)
兰州交通大学优秀平台支持项目(201806)。
