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Analysis on Noise Characteristics of Sea Surface Height Time Series and Sea Level Changes Based on Satellite Altimetry Data
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Shengbo YANG1, Xiaoxing HE1, *, Shunqiang HU2, Jiahui HUANG1, Jie WANG1
Journal of Geodesy and Geodynamics | 2025, 45(2) : 125 - 130
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Journal of Geodesy and Geodynamics | 2025, 45(2): 125-130
Analysis on Noise Characteristics of Sea Surface Height Time Series and Sea Level Changes Based on Satellite Altimetry Data
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Shengbo YANG1, Xiaoxing HE1, *, Shunqiang HU2, Jiahui HUANG1, Jie WANG1
Affiliations
  • 1 School of Civil and Surveying and Mapping Engineering, Jiangxi University of Science and Technology, 1958 Kejia Road, Ganzhou 341000, China
  • 2 Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, 99 Ziyang Road, Nanchang 330022, China

    • YANG Shengbo, postgraduate, majors in multi-source satellite ocean environment stereoscopic observation, E-mail:

About Author:

YANG Shengbo, postgraduate, majors in multi-source satellite ocean environment stereoscopic observation, E-mail:

Published: 2025-02-15 doi: 10.14075/j.jgg.2024.03.122
Outline
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Using the BIC_tp noise model identification criterion, we analyzed the temporal noise characteristics of sea surface height (SSH) and their influencing factors at 350 virtual coastal satellite altimetry stations worldwide. Furthermore, we explored the impact of environmental loads on SSH time series and the characteristics of sea level changes across different time spans. The results indicate that the assumptions of FN+WN, FN+RW+WN, and PL+WN noise models can lead to errors in estimating the velocity parameters of SSH time series. Furthermore, there is a diversity of SSH time series noise models, and the velocity uncertainties under different noise models vary significantly. Identifying their noise characteristics is crucial for accurately obtaining sea level change parameters. The average global sea level rise rates for the different time spans of 1993 to 2006, 2007 to 2020, and 1993 to 2020 are 2.59 mm/a, 4.41 mm/a, and 3.08 mm/a, respectively, indicating that sea level is accelerating its rise. The optimal noise models and velocity changes for the SSH time series before and after environmental loading correction are not significant, indicating that the load effect has a relatively minor impact on the characteristics of SSH time series.

satellite altimetry  /  sea surface height time series  /  noise characteristics  /  sea level change  /  environmental loading
杨圣博, 贺小星, 胡顺强, 黄佳慧, 王杰. 基于卫星测高数据的海面高时序噪声特性及海平面变化分析. 大地测量与地球动力学, 2025 , 45 (2) : 125 -130 . DOI: 10.14075/j.jgg.2024.03.122
Shengbo YANG, Xiaoxing HE, Shunqiang HU, Jiahui HUANG, Jie WANG. Analysis on Noise Characteristics of Sea Surface Height Time Series and Sea Level Changes Based on Satellite Altimetry Data[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (2) : 125 -130 . DOI: 10.14075/j.jgg.2024.03.122
Funding
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  • Major Discipline Academic and Technical Leaders Training Program of Jiangxi Province(20225BCJ23014)
  • National Natural Science Foundation of China(42104023)
  • National Natural Science Foundation of China(42364002)
  • Key Research and Development Program of Jiangxi Province,(20243BBI91033)
Appendix
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Year 2025 volume 45 Issue 2
25
9
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Article Info
doi: 10.14075/j.jgg.2024.03.122
  • Receive Date：2024-03-21
  • Online Date：2026-10-30
  • Published：2025-02-15
Article Data
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History
  • Received：2024-03-21
Funding
Major Discipline Academic and Technical Leaders Training Program of Jiangxi Province(20225BCJ23014)
National Natural Science Foundation of China(42104023)
National Natural Science Foundation of China(42364002)
Key Research and Development Program of Jiangxi Province,(20243BBI91033)
Affiliations
    1 School of Civil and Surveying and Mapping Engineering, Jiangxi University of Science and Technology, 1958 Kejia Road, Ganzhou 341000, China
    2 Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, 99 Ziyang Road, Nanchang 330022, China
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https://castjournals.cast.org.cn/joweb/ddcl/EN/10.14075/j.jgg.2024.03.122
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红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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