一种中国区GNSS加权平均温度分层格网模型
A stratification grid-based model of GNSS weighted mean temperature in China
高祥 1蒋春华 2陈少妮 1刘广盛 1王帅民3
作者信息
- 1. 辽宁工程技术大学 测绘与地理科学学院,辽宁 阜新 123000
- 2. 辽宁工程技术大学 测绘与地理科学学院,辽宁 阜新 123000;地理信息工程国家重点实验室,西安 710054;中国科学院精密测量科学与技术创新研究院 大地测量与地球动力学国家重点实验室,武汉 430077
- 3. 河北工程大学 矿业与测绘工程学院,河北 邯郸 056038
- 折叠
摘要
为了进一步提升大气加权平均温度(Tm)模型在地基全球卫星导航系统(GNSS)反演可降水量(PWV)中的精度,提出一种中国区GNSS加权平均温度模型:针对中国地势复杂多变,气候多样的环境特征,基于1990—2019年欧洲中期天气预报中心第五代大气再分析数据集(ERA5),综合考虑Tm的季节性变化及长期线性趋势,构建Tm的分层格网模型(CTmS);然后以74个无线电探空站提供的2020年气象数据为参考,评估CTmS的精度及可用性,并利用第三代全球Tm模型(GTm-Ⅲ)及全球气压温度(GPT3)模型进行对比验证.结果表明:CTmS模型的均方根偏差(RMSE)均值为4.0 K,较GPT3及GTm-Ⅲ模型分别提升21.6％及8.0％,且在高海拔地区表现出明显的精度优势;CTmS模型的PWV不确定度均值为0.32 mm,相比于GPT3及GTm-Ⅲ模型分别减少16.6％及6.5％,且在中国西北地区表现出更优的精度及稳定性;提出的模型可为中国地区GNSS实时水汽监测提供参考.
Abstract
In order to further improve the accuracy of the atmospheric weighted mean temperature (Tm) model retrieving precipitable water vapor (PWV) from the ground-based global navigation satellite systems (GNSS),the paper proposed a GNSS weighted mean temperature in China:in view of complex terrain and diverse climate in China,a stratified grid T m model (CTmS) was developed based on data of European Centre for Medium-Range Weather Forecasts reanalysis v5 (ERA5) from 1990 to 2019,taking into account seasonal variations and long-term linear trends;and then taking meteorological data from 74 radiosonde stations in 2020 as a reference,the accuracy and availability of CTmS were evaluated,and GTm-Ⅲ and GPT3 models were used for comparison and validation. Results showed that the mean RMSE of the CTmS model would be 4.0 K,which could be an increase of 21.6％ and 8.0％ over GPT3 and GTm-Ⅲ models,respectively,indicating an obvious advantage of accuracy in high altitude area;moreover,the mean uncertainty of PWV using CTmS model would be 0.32 mm,which could be 16.6％ and 6.5％ less than that of GPT3 and GTm-Ⅲ models,respectively,with better accuracy and stability in northwestern China;in general,the proposed model could provide a reference for GNSS-PWV retrieval in China.
关键词
加权平均温度(Tm)/可降水量(PWV)/垂直分层/欧洲中期天气预报中心第五代大气再分析数据集(ERA5)/无线电探空Key words
weighted mean temperature (Tm)/precipitable water vapor (PWV)/vertical stratification/European Centre for Medium-Range Weather Forecasts reanalysis v5 (ERA5)/radiosonde引用本文复制引用
基金项目
辽宁省博士启动基金项目(2021-BS-275)
辽宁省教育厅高等学校科学研究项目(LJKMZ20220673)
中国科学院精密测量科学技术创新研究院大地测量与地球动力学国家重点实验室资助项目(SKLGED2023-3-2)
出版年
2024
NETL
NSTL
万方数据