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Prediction Method of Sea Level Change in the South China Sea Based on NTFT-WSE
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Haozhe SUN1, 2, Lintao LIU2, *, Xuepeng SUN2, Ziping LIU1, 2, Zhourun YE3, Xinghui LIANG2, Cong SHEN1, 2, Guocheng WANG2
Journal of Geodesy and Geodynamics | 2025, 45(10) : 1026 - 1032, 1100
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Journal of Geodesy and Geodynamics | 2025, 45(10): 1026-1032, 1100
Prediction Method of Sea Level Change in the South China Sea Based on NTFT-WSE
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Haozhe SUN1, 2, Lintao LIU2, *, Xuepeng SUN2, Ziping LIU1, 2, Zhourun YE3, Xinghui LIANG2, Cong SHEN1, 2, Guocheng WANG2
Affiliations
  • 1 Innovation Academy for Precision Measurement Science and Technology, CAS, 340 Xudong Street, Wuhan 430077, China
  • 2 University of Chinese Academy of Sciences, A19 Yuquan Road, Beijing 100049, China
  • 3 College of Civil Engineering, Hefei University of Technology, 193 Tunxi Road, Hefei 230009, China

    • SUN Haozhe, postgraduate, majors in geoscience signal processing, E-mail:

About Author:

SUN Haozhe, postgraduate, majors in geoscience signal processing, E-mail:

Published: 2025-10-15 doi: 10.14075/j.jgg.2024.10.485
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A wideband signal extraction method based on normal time-frequency transform(NTFT-WSE) is proposed based on standard time-frequency theory. First, the standard time-frequency transform is used to extract and model the periodic signals of sea level. Then, the NTFT-WSE method is employed to extract, model, and predict the components at different time scales, achieving accurate prediction of the periodic low-frequency signals of sea level changes. Compared with the standard Morlet wavelet transform, the NTFT-WSE method reduces the root mean square error(RMSE) and mean absolute error(MAE) in periodic signal extraction by 26.03% and 22.24%, respectively, significantly improving the extraction accuracy of mid- and low-frequency signals. Finally, based on satellite altimetry sea level anomaly data from June 1993 to May 2008, the NTFT-WSE method was used to predict the sea level changes in the South China Sea from June 2008 to May 2023. The prediction results are consistent with the overall trend of actual observations.

sea level anomaly  /  Morlet wavelet transform  /  sea level change  /  prediction  /  normal time-frequency transform  /  South China Sea
孙浩哲, 柳林涛, 孙雪鹏, 刘子平, 叶周润, 梁星辉, 沈聪, 王国成. 基于NTFT-WSE的中国南海海平面高度变化的预测方法. 大地测量与地球动力学, 2025 , 45 (10) : 1026 -1032, 1100 . DOI: 10.14075/j.jgg.2024.10.485
Haozhe SUN, Lintao LIU, Xuepeng SUN, Ziping LIU, Zhourun YE, Xinghui LIANG, Cong SHEN, Guocheng WANG. Prediction Method of Sea Level Change in the South China Sea Based on NTFT-WSE[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (10) : 1026 -1032, 1100 . DOI: 10.14075/j.jgg.2024.10.485
Funding
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  • National Natural Science Foundation of China(42074011)
Appendix
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Year 2025 volume 45 Issue 10
51
24
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Article Info
doi: 10.14075/j.jgg.2024.10.485
  • Receive Date：2024-10-23
  • Online Date：2026-10-29
  • Published：2025-10-15
Article Data
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History
  • Received：2024-10-23
Funding
National Natural Science Foundation of China(42074011)
Affiliations
    1 Innovation Academy for Precision Measurement Science and Technology, CAS, 340 Xudong Street, Wuhan 430077, China
    2 University of Chinese Academy of Sciences, A19 Yuquan Road, Beijing 100049, China
    3 College of Civil Engineering, Hefei University of Technology, 193 Tunxi Road, Hefei 230009, China
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