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Accuracy Analysis and PWV Conversion of Three Tropospheric Delay Models in Antarctica
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Huafeng MA1, 2, Li LI1, 2, *, Chuang MEI3, Zehua MENG1, 2, Zhijie ZHANG1, 2, Mingsong ZHANG4
Journal of Geodesy and Geodynamics | 2025, 45(11) : 1192 - 1199
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Journal of Geodesy and Geodynamics | 2025, 45(11): 1192-1199
Accuracy Analysis and PWV Conversion of Three Tropospheric Delay Models in Antarctica
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Huafeng MA1, 2, Li LI1, 2, *, Chuang MEI3, Zehua MENG1, 2, Zhijie ZHANG1, 2, Mingsong ZHANG4
Affiliations
  • 1 School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, 99 Xuefu Road, Suzhou 215009, China
  • 2 Research Center of Beidou Navigation and Environmental Remote Sensing, Suzhou University of Science and Technology, 99 Xuefu Road, Suzhou 215009, China
  • 3 Shanghai Baosteel Engineering Consulting Co Ltd, 361 Meipu Road, Shanghai 201999, China
  • 4 Guangzhou iM-Droid Electronic Technology Co Ltd, 1 Hanjing Road, Guangzhou 510635, China
  • MA Huafeng, postgraduate, majors in surveying data processing and GNSS meteorology, E-mail: .

About Author:

MA Huafeng, postgraduate, majors in surveying data processing and GNSS meteorology, E-mail: .

Published: 2025-11-15 doi: 10.14075/j.jgg.2024.10.488
Outline
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To address the low accuracy of zenith tropospheric delay(ZTD) models and the scarcity of water vapor data in Antarctica, we use ZTD data from six global navigation satellite system(GNSS) stations in Antarctica, ECMWF reanalysis v5(ERA5) data, and radiosonde(RS) data from 2018 to 2021. First, the ZTD accuracy of UNB3m, EGNOS, and GPT3 models in Antarctica is analyzed. Then, the ZTD correction and PWV conversion models are constructed separately based on extreme gradient boosting(XGBoost). The results show that the average root mean square errors(RMSEs) of UNB3m-ZTD, EGNOS-ZTD, and GPT3-ZTD of six GNSS stations in Antarctica are 98.12 mm, 116.13 mm, and 24.31 mm, respectively. After correction using XGBoost, the average RMSEs of UNB3m-ZTD, EGNOS-ZTD, and GPT3-ZTD from 2020 to 2021 are 10.46 mm, 10.50 mm, and 10.60 mm, respectively, demonstrating higher accuracy and closeness between the models. The average RMSEs of PWV converted from the corrected UNB3m-ZTD, EGNOS-ZTD, and GPT3-ZTD using XGBoost are 1.71 mm, indicating high accuracy.

Antarctica  /  ZTD  /  PWV  /  XGBoost
马华锋, 李黎, 梅闯, 蒙泽华, 张志杰, 张明松. 三种对流层延迟模型在南极洲的精度分析及PWV转换. 大地测量与地球动力学, 2025 , 45 (11) : 1192 -1199 . DOI: 10.14075/j.jgg.2024.10.488
Huafeng MA, Li LI, Chuang MEI, Zehua MENG, Zhijie ZHANG, Mingsong ZHANG. Accuracy Analysis and PWV Conversion of Three Tropospheric Delay Models in Antarctica[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (11) : 1192 -1199 . DOI: 10.14075/j.jgg.2024.10.488
  • National Natural Science Foundation of China(42204014)
  • Science and Technology Program of Jiangsu Province(BK20230660)
  • Open Fund of State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, CAS(SKLGED2024-2-3)
  • Research and Practice Innovation Program for Graduate Students of Jiangsu Province(SJCX23_1718)
  • Research and Practice Innovation Program for Graduate Students of Jiangsu Province(SJCX24_1901)
Year 2025 volume 45 Issue 11
28
10
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Article Info
doi: 10.14075/j.jgg.2024.10.488
  • Receive Date:2024-10-25
  • Online Date:2026-10-29
  • Published:2025-11-15
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  • Received:2024-10-25
Funding
National Natural Science Foundation of China(42204014)
Science and Technology Program of Jiangsu Province(BK20230660)
Open Fund of State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, CAS(SKLGED2024-2-3)
Research and Practice Innovation Program for Graduate Students of Jiangsu Province(SJCX23_1718)
Research and Practice Innovation Program for Graduate Students of Jiangsu Province(SJCX24_1901)
Affiliations
    1 School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, 99 Xuefu Road, Suzhou 215009, China
    2 Research Center of Beidou Navigation and Environmental Remote Sensing, Suzhou University of Science and Technology, 99 Xuefu Road, Suzhou 215009, China
    3 Shanghai Baosteel Engineering Consulting Co Ltd, 361 Meipu Road, Shanghai 201999, China
    4 Guangzhou iM-Droid Electronic Technology Co Ltd, 1 Hanjing Road, Guangzhou 510635, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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