The precise correction of atmospheric zenith tropospheric delay(ZTD)is significant for the Global Navigation Satellite System(GNSS)performance regarding positioning accuracy and convergence time.In the past decades,ma...The precise correction of atmospheric zenith tropospheric delay(ZTD)is significant for the Global Navigation Satellite System(GNSS)performance regarding positioning accuracy and convergence time.In the past decades,many empirical ZTD models based on whether the gridded or scattered ZTD products have been proposed and widely used in the GNSS positioning applications.But there is no comprehensive evaluation of these models for the whole China region,which features complicated topography and climate.In this study,we completely assess the typical empirical models,the IGGtropSH model(gridded,non-meteorology),the SHAtropE model(scattered,non-meteorology),and the GPT3 model(gridded,meteorology)using the Crustal Movement Observation Network of China(CMONOC)network.In general,the results show that the three models share consistent performance with RMSE/bias of 37.45/1.63,37.13/2.20,and 38.27/1.34 mm for the GPT3,SHAtropE and IGGtropSH model,respectively.However,the models had a distinct performance regarding geographical distribution,elevation,seasonal variations,and daily variation.In the southeastern region of China,RMSE values are around 50 mm,which are much higher than that in the western region,approximately 20 mm.The SHAtropE model exhibits better performance for areas with large variations in elevation.The GPT3 model and the IGGtropSH model are more stable across different months,and the SHAtropE model based on the GNSS data exhibits superior performance across various UTC epochs.展开更多
可降水汽PWV一直是GPS气象学中的重点研究方向,欧洲中期天气预报中心（ECMWF）也提供其全球格网数值。本文利用全球大地测量观测系统（GGOS）和欧洲中期天气预报中心（ECMWF）提供的2005年-2006年的Zenith Total Delay（ZTD）、Zenith W...可降水汽PWV一直是GPS气象学中的重点研究方向,欧洲中期天气预报中心（ECMWF）也提供其全球格网数值。本文利用全球大地测量观测系统（GGOS）和欧洲中期天气预报中心（ECMWF）提供的2005年-2006年的Zenith Total Delay（ZTD）、Zenith Wet Delay（ZWD）、Mean Temperature（Tm）、Precipitation Water Vapor（PWV）,时间分辨率为6 h,探讨了ZTD-PWV全球统计线性关系,得出了有益结论,为建立ZTD-PWV区域模型提供参考。展开更多
基金supported by the National Natural Science Foundation of China(42204022,52174160,52274169)Open Fund of Hubei Luojia Laboratory(230100031)+2 种基金the Open Fund of State Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University(23P02)the Fundamental Research Funds for the Central Universities(2023ZKPYDC10)China University of Mining and Technology-Beijing Innovation Training Program for College Students(202302014,202202023)。
文摘The precise correction of atmospheric zenith tropospheric delay(ZTD)is significant for the Global Navigation Satellite System(GNSS)performance regarding positioning accuracy and convergence time.In the past decades,many empirical ZTD models based on whether the gridded or scattered ZTD products have been proposed and widely used in the GNSS positioning applications.But there is no comprehensive evaluation of these models for the whole China region,which features complicated topography and climate.In this study,we completely assess the typical empirical models,the IGGtropSH model(gridded,non-meteorology),the SHAtropE model(scattered,non-meteorology),and the GPT3 model(gridded,meteorology)using the Crustal Movement Observation Network of China(CMONOC)network.In general,the results show that the three models share consistent performance with RMSE/bias of 37.45/1.63,37.13/2.20,and 38.27/1.34 mm for the GPT3,SHAtropE and IGGtropSH model,respectively.However,the models had a distinct performance regarding geographical distribution,elevation,seasonal variations,and daily variation.In the southeastern region of China,RMSE values are around 50 mm,which are much higher than that in the western region,approximately 20 mm.The SHAtropE model exhibits better performance for areas with large variations in elevation.The GPT3 model and the IGGtropSH model are more stable across different months,and the SHAtropE model based on the GNSS data exhibits superior performance across various UTC epochs.
文摘可降水汽PWV一直是GPS气象学中的重点研究方向,欧洲中期天气预报中心（ECMWF）也提供其全球格网数值。本文利用全球大地测量观测系统（GGOS）和欧洲中期天气预报中心（ECMWF）提供的2005年-2006年的Zenith Total Delay（ZTD）、Zenith Wet Delay（ZWD）、Mean Temperature（Tm）、Precipitation Water Vapor（PWV）,时间分辨率为6 h,探讨了ZTD-PWV全球统计线性关系,得出了有益结论,为建立ZTD-PWV区域模型提供参考。
