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Research on GNSS-R Storm Surge Monitoring Based on Non-Linear Fitting Method
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Guangji ZHANG1, Cuilin KUANG1, Chunhua CHEN2
Journal of Geodesy and Geodynamics | 2025, 45(5) : 500 - 505, 531
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Journal of Geodesy and Geodynamics | 2025, 45(5): 500-505, 531
Research on GNSS-R Storm Surge Monitoring Based on Non-Linear Fitting Method
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Guangji ZHANG1, Cuilin KUANG1, Chunhua CHEN2
Affiliations
  • 1 School of Geosciences and Info-physics, Central South University, 932 South-Lushan Road, Changsha 410083, China
  • 2 Hunan Institute of Surveying and Mapping Technology, 693 Mid-Shaoshan, Changsha 410007, China

    • ZHANG Guangji, postgraduate, majors in GNSS-R water level monitoring,E-mail:

About Author:

ZHANG Guangji, postgraduate, majors in GNSS-R water level monitoring,E-mail:

Published: 2025-05-15 doi: 10.14075/j.jgg.2024.05.251
Outline
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GNSS-R(global navigation satellite system-reflectometry) technology has been widely verified as an effective means of monitoring ocean tide levels, but the commonly used LSP(lomb-scargle periodogram) spectral analysis method still has issues with low precision and time resolution in storm surge monitoring. This paper, based on observational data from the HKQT station in Hong Kong, China, uses a non-linear fitting method to conduct inversion studies on the storm surge event of Typhoon "Mangkhut" in 2018. By combining wind speed change data during the storm surge period, the paper compares the performance of spectral analysis and non-linear fitting methods in tide level inversion. The results show that the measurement accuracy using the non-linear fitting method is better than 8 cm, with a correlation coefficient of 0.99 compared to the observational data from tide gauge stations. The tide level representation is smoother and more continuous than that of the spectral analysis method, effectively improving monitoring accuracy and time resolution, and providing more reliable technical support for storm surge disaster monitoring.

GNSS-R  /  storm surge  /  tide level measurement  /  non-linear fitting method
张光霁, 匡翠林, 陈春花. 基于非线性拟合法的GNSS-R风暴潮监测. 大地测量与地球动力学, 2025 , 45 (5) : 500 -505, 531 . DOI: 10.14075/j.jgg.2024.05.251
Guangji ZHANG, Cuilin KUANG, Chunhua CHEN. Research on GNSS-R Storm Surge Monitoring Based on Non-Linear Fitting Method[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (5) : 500 -505, 531 . DOI: 10.14075/j.jgg.2024.05.251
Funding
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  • Open Biddling and Leading Project Foundation ofIWHR(9002241)
  • Key Research and Development Program of Hunan Province(2023GK2056)
  • Project of Department of Natural Resources of Hunan Province(HNGTCH-2023-05)
Appendix
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Year 2025 volume 45 Issue 5
21
8
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Article Info
doi: 10.14075/j.jgg.2024.05.251
  • Receive Date：2024-05-24
  • Online Date：2026-10-30
  • Published：2025-05-15
Article Data
Affiliations
History
  • Received：2024-05-24
Funding
Open Biddling and Leading Project Foundation ofIWHR(9002241)
Key Research and Development Program of Hunan Province(2023GK2056)
Project of Department of Natural Resources of Hunan Province(HNGTCH-2023-05)
Affiliations
    1 School of Geosciences and Info-physics, Central South University, 932 South-Lushan Road, Changsha 410083, China
    2 Hunan Institute of Surveying and Mapping Technology, 693 Mid-Shaoshan, Changsha 410007, China
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https://castjournals.cast.org.cn/joweb/ddcl/EN/10.14075/j.jgg.2024.05.251
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