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Long-term polar motion prediction using normal time-frequency transform

delete2013-11-30
delete42
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OA
AI
X
Xiaoqing Su
L
Lintao Liu *
H
Houtse Hsu
G
Guocheng Wang
DOI:10.1007/s00190-013-0675-7delete
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摘要

摘要

En 中文
This paper presents normal time-frequency transform (NTFT) application in harmonic/quasi-harmonic signal prediction. Particularly, we use the normal wavelet transform (a special NTFT) to make long-term polar motion prediction. Instantaneous frequency, phase and amplitude of Chandler wobble, prograde and retrograde annual wobbles of Earth's polar motion are analyzed via the NTFT. Results show that the three main wobbles can be treated as quasi-harmonic processes. Current instantaneous harmonic information of the three wobbles can be acquired by the NTFT that has a kernel function constructed with a normal half-window function. Based on this information, we make the polar motion predictions with lead times of 1 year and 5 years. Results show that our prediction skills are very good with long lead time. An abnormality in the predictions occurs during the second half of 2005 and first half of 2006. Finally, we provide the future (starting from 2013) polar motion predictions with 1- and 5-year leads. These predictions will be used to verify the effectiveness of the method proposed in this paper.
Keyword:
Normal time-frequency transform
Harmonic information
Normal window function
Polar motion prediction

期刊

Journal of Geodesy 封面图
Journal of Geodesy
IF:
4
论文数:
2.5K
被引数:
7.6K

机构

C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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