Assessment of tomographic window and sampling rate efects on GNSS water vapor tomography

作     者：Fei Yang Yilin Sun Xiaolin Meng Jiming Guo Xu Gong 

作者机构：College of Geoscience and Surveying EngineeringChina University of Mining and Technology-BeijingBeijing 100083China College of Architecture and Civil EngineeringBeijing University of TechnologyBeijing 100124China School of Geodesy and GeomaticsWuhan UniversityWuhan 430079China 

出 版 物：《Satellite Navigation》 (卫星导航（英文）)

年 卷 期：2023年第4卷第1期

页      面：155-166,I0005页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：Beijing Natural Science Foundation(No.8224093) China Postdoctoral Science Foundation(No.2021M703510) Fundamental Research Funds for the Central Universities(No.2021XJDC01) Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province(No.SCSF202109) Open Fund of State Key Laboratory of Geodesy and Earth’s Dynamics Innovation Academy for Precision Measurement Science and Technology(No.SKLGED2022-3-1) Beijing Key Laboratory of Urban Spatial Information Engineering(No.20220117) the National Natural Science Foundation of China(No.42204022) 

主　　题：GNSS meteorology Water vapor Tomography 

摘      要：The ground-based Global Navigation Satellite System(GNSS)water vapor tomography is increasingly important in GNSS *** the multi-GNSS and more ground-based GNSS sites can be incorporated into the regional water vapor tomographic model,determining the tomographic window and sampling rate is crucial for the modelling of the water vapor *** two factors afect not only the number of available signal rays from the satellites,but also the number of tomographic voxels crossed by the signal *** study uses Hong Kong as the research area to explore the impact of 12 schemes with diferent tomographic window and sampling rate on the three water vapor tomography methods,including Least squares,Kalman fltering,and Multiplicative Algebraic Reconstruction Technique(MART).Numerical results show that the tomographic results with the three methods get better as the width of the tomographic window decreases and the sampling rate increases in these 12 schemes,and it is found that the Least squares method is most afected by the two factors,followed by Kalman fltering and MART *** is recommended to set a tomographic window width of 10 min and a sampling rate of 300 s in a GNSS water vapor tomographic experiment with dense GNSS site like Hong Kong.