An enhanced tropospheric fusion model based on China’s National continuously operating reference stations

This study introduces a multi-source data fusion model of the tropospheric delay over China and uses GNSS data, meteorological data, and Global Pressure and Temperature 2 wet (GPT2w) model data to derive the model coefficients. Fifty-one nationwide GNSS stations were selected to evaluate the accurac...

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Main Authors: Chaoqian Xu, Lihong Li, Junbo Shi, Ming Chen, Yibin Yao
Format: Article
Language:English
Published: Taylor & Francis Group 2025-01-01
Series:Geo-spatial Information Science
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2446309
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author Chaoqian Xu
Lihong Li
Junbo Shi
Ming Chen
Yibin Yao
author_facet Chaoqian Xu
Lihong Li
Junbo Shi
Ming Chen
Yibin Yao
author_sort Chaoqian Xu
collection DOAJ
description This study introduces a multi-source data fusion model of the tropospheric delay over China and uses GNSS data, meteorological data, and Global Pressure and Temperature 2 wet (GPT2w) model data to derive the model coefficients. Fifty-one nationwide GNSS stations were selected to evaluate the accuracy of the fusion model through a detailed analysis of the model performance based on factors including the overall accuracy, seasonal accuracy, and impact of the station location. The results show that the multi-source data fusion model integrates the advantages of various individual models and thus has a higher accuracy and stability despite the occurrence of a certain degree of decline in accuracy in the individual models under certain conditions. A comparison with previous models developed using only GNSS data demonstrates that this fusion model improves the overall accuracy by 17.7%.
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institution Kabale University
issn 1009-5020
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language English
publishDate 2025-01-01
publisher Taylor & Francis Group
record_format Article
series Geo-spatial Information Science
spelling doaj-art-b19f5d708c3443c390cdda08632316792025-01-17T14:34:21ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532025-01-0111310.1080/10095020.2024.2446309An enhanced tropospheric fusion model based on China’s National continuously operating reference stationsChaoqian Xu0Lihong Li1Junbo Shi2Ming Chen3Yibin Yao4Hubei LuoJia Laboratory, Wuhan University, Wuhan, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaNational Geomatics Center of China, Ministry of Natural Resources, Beijing, ChinaHubei LuoJia Laboratory, Wuhan University, Wuhan, ChinaThis study introduces a multi-source data fusion model of the tropospheric delay over China and uses GNSS data, meteorological data, and Global Pressure and Temperature 2 wet (GPT2w) model data to derive the model coefficients. Fifty-one nationwide GNSS stations were selected to evaluate the accuracy of the fusion model through a detailed analysis of the model performance based on factors including the overall accuracy, seasonal accuracy, and impact of the station location. The results show that the multi-source data fusion model integrates the advantages of various individual models and thus has a higher accuracy and stability despite the occurrence of a certain degree of decline in accuracy in the individual models under certain conditions. A comparison with previous models developed using only GNSS data demonstrates that this fusion model improves the overall accuracy by 17.7%.https://www.tandfonline.com/doi/10.1080/10095020.2024.2446309Tropospheric delayglobal navigation satellite system (GNSS)fusion modelcontinuously operating reference stations (CORS)precise point positioning (PPP)
spellingShingle Chaoqian Xu
Lihong Li
Junbo Shi
Ming Chen
Yibin Yao
An enhanced tropospheric fusion model based on China’s National continuously operating reference stations
Geo-spatial Information Science
Tropospheric delay
global navigation satellite system (GNSS)
fusion model
continuously operating reference stations (CORS)
precise point positioning (PPP)
title An enhanced tropospheric fusion model based on China’s National continuously operating reference stations
title_full An enhanced tropospheric fusion model based on China’s National continuously operating reference stations
title_fullStr An enhanced tropospheric fusion model based on China’s National continuously operating reference stations
title_full_unstemmed An enhanced tropospheric fusion model based on China’s National continuously operating reference stations
title_short An enhanced tropospheric fusion model based on China’s National continuously operating reference stations
title_sort enhanced tropospheric fusion model based on china s national continuously operating reference stations
topic Tropospheric delay
global navigation satellite system (GNSS)
fusion model
continuously operating reference stations (CORS)
precise point positioning (PPP)
url https://www.tandfonline.com/doi/10.1080/10095020.2024.2446309
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