The GNSS PWV retrieval using non-observation meteorological parameters based on ERA5 and its relation with precipitation  

作　　者：Weifeng Yang Zhiping Chen Kaiyun Lv Pengfei Xia Tieding Lu 

机构地区：[1]School of Surveying and Geoinformation Engineering,East China University of Technology,Nanchang 330013,China [2]Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources,East China University of Technology,Nanchang 330013,China [3]State Key Laboratory of Geodesy and Earth's Dynamics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430077,China [4]Jiangxi Province Engineering Research Center of Surveying,Mapping and Geographic Information,Nanchang 330025,China [5]School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China

出　　处：《Geodesy and Geodynamics》2024年第3期302-313,共12页大地测量与地球动力学（英文版）

基　　金：supported by Open Fund of Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources (Grant MEMI-2021-2022-27);funded by the National Natural Science Foundation of China (Grants 41904031,42374040,42061077);the Jiangxi Provincial Natural Science Foundation (Grants 20202BABL213033);the State Key Laboratory of Geodesy and Earth's Dynamics (Grants SKLGED2021-2-2);the Graduate Innovation Foundation of East China University of Technology (Grants YC2022-s604,YC2022-s609)。

摘　　要：The pressure and temperature significantly influence precipitable water vapor(PWV) retrieval. Global Navigation Satellite System(GNSS) PWV retrieval is limited because the GNSS stations lack meteorological sensors. First, this article evaluated the accuracy of pressure and temperature in 68 radiosonde stations in China based on ERA5 Reanalysis data from 2015 to 2019 and compared them with GPT3model. Then, the accuracy of pressure and temperature calculated by ERA5 were estimated in 5 representative IGS stations in China. And the PWV calculated by these meteorological parameters from ERA5(ERA5-PWV) were analyzed. Finally, the relation between ERA5-PWV and precipitation was deeply explored using wavelet coherence analysis in IGS stations. These results indicate that the accuracy of pressure and temperature of ERA5 is better than the GPT3 model. In radiosonde stations, the mean BIAS and MAE of pressure and temperature in ERA5 are-0.41/1.15 hpa and-0.97/2.12 K. And the mean RMSEs are 1.35 hpa and 2.87 K, which improve 74.77% and 40.58% compared with GPT3 model. The errors of pressure and temperature of ERA5 are smaller than the GPT3 model in bjfs, hksl and wuh2, and the accuracy of ERA5-PWV is improved by 18.77% compared with the GPT3 model. In addition, there is a significant positive correlation between ERA5-PWV and precipitation. And precipitation is always associated with the sharp rise of ERA5-PWV, which provides important references for rainfall prediction.

关 键 词：ERA5 GNSS Precipitable water vapor PRECIPITATION Wavelet coherence analysis 

分 类 号：P228.4[天文地球—大地测量学与测量工程] P412[天文地球—测绘科学与技术]