首页|青海地区大气加权平均温度模型精度优化

青海地区大气加权平均温度模型精度优化

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针对当前大气加权平均温度(Tm)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Tm模型和多个气象因子参与的本地化多因子Tm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.
Accuracy optimization of regional atmospheric weighted average temperature model in Qinghai Province
Aiming at the problems that the current atmospheric weighted mean temperature (Tm) 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 Tm model in Qinghai Province: the localized single-factor Tm model and the localized multi-factor Tm 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.

atmospheric weighted average temperature (Tm)global navigation satellite system (GNSS) meteorologicalprecise point positioning (PPP)precipitable water vapor (PWV)model regionalization

董浩杰、杨维芳、李小刚、李得宴

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兰州交通大学 测绘与地理信息学院/地理国情监测技术应用国家地方联合工程研究中心/甘肃省地理国情监测工程实验室,兰州 730070

青海省基础测绘院,西宁 810001

海军工程大学,武汉 430033

大气加权平均温度(Tm) 全球卫星导航系统(GNSS)气象学 精密单点定位(PPP) 大气可降水量(PWV) 模型区域化

十三五首批国家重点研发计划课题国家自然科学基金项目兰州交通大学优秀平台支持项目

2016YFB050180242061076201806

2024

10.16547/j.cnki.10-1096.20240309

导航定位学报

导航定位学报

CSTPCD北大核心
影响因子：0.72
ISSN：
年,卷(期)：2024.12(3)
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