Improving atmospheric pressure vertical correction model using Gaussian function
The Zenith Hydrostatic Delay (ZHD) is essential for high-precision Global Navigation Satellite System (GNSS) and Very Long Baseline Interferometry (VLBI) data processing. Accurate estimation of ZHD relies on in situ atmospheric pressure, which is primarily variable in the vertical direction. Current...
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| Language: | English |
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KeAi Communications Co., Ltd.
2025-01-01
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| Series: | Geodesy and Geodynamics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674984724000661 |
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| author | Baoshuang Zhang Junyu Li Lilong Liu Yibin Yao Liangke Huang Chao Ren Hongchang He Tengxu Zhang Yuxin Wang |
| author_facet | Baoshuang Zhang Junyu Li Lilong Liu Yibin Yao Liangke Huang Chao Ren Hongchang He Tengxu Zhang Yuxin Wang |
| author_sort | Baoshuang Zhang |
| collection | DOAJ |
| description | The Zenith Hydrostatic Delay (ZHD) is essential for high-precision Global Navigation Satellite System (GNSS) and Very Long Baseline Interferometry (VLBI) data processing. Accurate estimation of ZHD relies on in situ atmospheric pressure, which is primarily variable in the vertical direction. Current atmospheric pressure is either site-specific or has limited spatial coverage, necessitating vertical corrections for broader applicability. This study introduces a model that uses a Gaussian function for the vertical correction of atmospheric pressure when in situ meteorological observations are unavailable. Validation with the fifth-generation European Centre for Medium-Range Weather Forecasts reanalysis (ERA5) reveals an average Bias and RMS for the new model of 0.31 hPa and 2.96 hPa, respectively. This corresponds to improvements of 37.5% and 80.3% in terms of RMS compared to two commonly used models (T0 and Tv models) that require in situ meteorological observations, respectively. Additional validation with radiosonde data shows an average Bias and RMS of 1.85 hPa and 4.87 hPa, corresponding to the improvement of 42.8% and 71.1% in RMS compared with T0 and Tv models, respectively. These accuracies are sufficient for calculating ZHD to an accuracy of 1 mm by performing atmospheric pressure vertical correction. The new model can correct atmospheric pressure from meteorological stations or numerical weather forecasts to different heights of the troposphere. |
| format | Article |
| id | doaj-art-ba802b7909ed4e84a641e9234110b4a8 |
| institution | Kabale University |
| issn | 1674-9847 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Geodesy and Geodynamics |
| spelling | doaj-art-ba802b7909ed4e84a641e9234110b4a82025-01-13T04:18:35ZengKeAi Communications Co., Ltd.Geodesy and Geodynamics1674-98472025-01-011616774Improving atmospheric pressure vertical correction model using Gaussian functionBaoshuang Zhang0Junyu Li1Lilong Liu2Yibin Yao3Liangke Huang4Chao Ren5Hongchang He6Tengxu Zhang7Yuxin Wang8College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China; Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China; Corresponding author. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China.College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaSchool of Resources and Environmental Science and Engineering, Hubei University of Science and Technology, Xianning 437100, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaThe Zenith Hydrostatic Delay (ZHD) is essential for high-precision Global Navigation Satellite System (GNSS) and Very Long Baseline Interferometry (VLBI) data processing. Accurate estimation of ZHD relies on in situ atmospheric pressure, which is primarily variable in the vertical direction. Current atmospheric pressure is either site-specific or has limited spatial coverage, necessitating vertical corrections for broader applicability. This study introduces a model that uses a Gaussian function for the vertical correction of atmospheric pressure when in situ meteorological observations are unavailable. Validation with the fifth-generation European Centre for Medium-Range Weather Forecasts reanalysis (ERA5) reveals an average Bias and RMS for the new model of 0.31 hPa and 2.96 hPa, respectively. This corresponds to improvements of 37.5% and 80.3% in terms of RMS compared to two commonly used models (T0 and Tv models) that require in situ meteorological observations, respectively. Additional validation with radiosonde data shows an average Bias and RMS of 1.85 hPa and 4.87 hPa, corresponding to the improvement of 42.8% and 71.1% in RMS compared with T0 and Tv models, respectively. These accuracies are sufficient for calculating ZHD to an accuracy of 1 mm by performing atmospheric pressure vertical correction. The new model can correct atmospheric pressure from meteorological stations or numerical weather forecasts to different heights of the troposphere.http://www.sciencedirect.com/science/article/pii/S1674984724000661Atmospheric pressureVertical correctionZenith hydrostatic delay (ZHD)Gauss functionERA5 |
| spellingShingle | Baoshuang Zhang Junyu Li Lilong Liu Yibin Yao Liangke Huang Chao Ren Hongchang He Tengxu Zhang Yuxin Wang Improving atmospheric pressure vertical correction model using Gaussian function Geodesy and Geodynamics Atmospheric pressure Vertical correction Zenith hydrostatic delay (ZHD) Gauss function ERA5 |
| title | Improving atmospheric pressure vertical correction model using Gaussian function |
| title_full | Improving atmospheric pressure vertical correction model using Gaussian function |
| title_fullStr | Improving atmospheric pressure vertical correction model using Gaussian function |
| title_full_unstemmed | Improving atmospheric pressure vertical correction model using Gaussian function |
| title_short | Improving atmospheric pressure vertical correction model using Gaussian function |
| title_sort | improving atmospheric pressure vertical correction model using gaussian function |
| topic | Atmospheric pressure Vertical correction Zenith hydrostatic delay (ZHD) Gauss function ERA5 |
| url | http://www.sciencedirect.com/science/article/pii/S1674984724000661 |
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