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本文引用的文献

1
A new global mode of Earth deformation: seasonal cycle detected.地球变形的一种新的全球模式:检测到季节性周期。
Science. 2001 Dec 14;294(5550):2342-5. doi: 10.1126/science.1065328.

基于奇异谱分析的LAGEOS地球质心运动中地球物理信号的分离

Separation of geophysical signals in the LAGEOS geocentre motion based on singular spectrum analysis.

作者信息

Yu Hongjuan, Sośnica Krzysztof, Shen Yunzhong

机构信息

College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China.

Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, Grunwaldzka 53, 50-357 Wrocław, Poland.

出版信息

Geophys J Int. 2021 Feb 18;225(3):1755-1770. doi: 10.1093/gji/ggab063. eCollection 2021 Jun.

DOI:10.1093/gji/ggab063
PMID:33746559
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7954530/
Abstract

We recompute the 26-yr weekly Geocentre Motion (GCM) time-series from 1994 to 2020 through the network shift approach using Satellite Laser Ranging (SLR) observations to LAGEOS1/2. Then the Singular Spectrum Analysis (SSA) is applied for the first time to separate and investigate the geophysical signals from the GCM time-series. The Principal Components (PCs) of the embedded covariance matrix of SSA from the GCM time-series are determined based on the w-correlation criterion and two PCs with large w-correlation are regarded as one periodic signal pair. The results indicate that the annual signal in all three coordinate components and semi-annual signal in both and components are detected. The annual signal from this study agrees well in both amplitude and phase with those derived by the Astronomical Institute of the University of Bern and the Center for Space Research, especially for the and components. Besides, the other periodic signals with the periods of (1043.6, 85, 28), (570, 280, 222.7) and (14.1, 15.3) days are also quantitatively explored for the first time from the GCM time-series by using SSA, interpreting the corresponding geophysical and astrodynamic sources of aliasing effects of K/O, T and M tides, draconitic effects, and overlapping effects of the ground-track repeatability of LAGEOS1/2.

摘要

我们通过网络偏移方法,利用对LAGEOS1/2的卫星激光测距(SLR)观测,重新计算了1994年至2020年26年的每周地心运动(GCM)时间序列。然后,首次应用奇异谱分析(SSA)从GCM时间序列中分离并研究地球物理信号。基于w相关准则确定GCM时间序列的SSA嵌入协方差矩阵的主成分(PC),两个具有大w相关性的PC被视为一个周期信号对。结果表明,检测到了所有三个坐标分量中的年信号以及 和 分量中的半年信号。本研究中的年信号在幅度和相位上与伯尔尼大学天文研究所和空间研究中心得出的结果非常吻合,特别是对于 和 分量。此外,还首次利用SSA从GCM时间序列中定量探索了周期为(1043.6、85、28)天、(570、280、222.7)天和(14.1、15.3)天的其他周期信号,解释了K/O、T和M潮汐的混叠效应、交点月效应以及LAGEOS1/2地面轨迹重复性的重叠效应的相应地球物理和天体动力学来源。