標題: The Quasi-Biennial Vertical Oscillations at Global GPS Stations: Identification by Ensemble Empirical Mode Decomposition
作者: Pan, Yuanjin
Shen, Wen-Bin
Ding, Hao
Hwang, Cheinway
Li, Jin
Zhang, Tengxu
土木工程學系
Department of Civil Engineering
關鍵字: GPS time series;ensemble empirical mode decomposition (EEMD);quasi-biennial vertical oscillations;loading effects
公開日期: 1-Oct-2015
摘要: Modeling nonlinear vertical components of a GPS time series is critical to separating sources contributing to mass displacements. Improved vertical precision in GPS positioning at stations for velocity fields is key to resolving the mechanism of certain geophysical phenomena. In this paper, we use ensemble empirical mode decomposition (EEMD) to analyze the daily GPS time series at 89 continuous GPS stations, spanning from 2002 to 2013. EEMD decomposes a GPS time series into different intrinsic mode functions (IMFs), which are used to identify different kinds of signals and secular terms. Our study suggests that the GPS records contain not only the well-known signals (such as semi-annual and annual signals) but also the seldom-noted quasi-biennial oscillations (QBS). The quasi-biennial signals are explained by modeled loadings of atmosphere, non-tidal and hydrology that deform the surface around the GPS stations. In addition, the loadings derived from GRACE gravity changes are also consistent with the quasi-biennial deformations derived from the GPS observations. By removing the modeled components, the weighted root-mean-square (WRMS) variation of the GPS time series is reduced by 7.1% to 42.3%, and especially, after removing the seasonal and QBO signals, the average improvement percentages for seasonal and QBO signals are 25.6% and 7.5%, respectively, suggesting that it is significant to consider the QBS signals in the GPS records to improve the observed vertical deformations.
URI: http://dx.doi.org/10.3390/s151026096
http://hdl.handle.net/11536/129424
ISSN: 1424-8220
DOI: 10.3390/s151026096
期刊: SENSORS
Volume: 15
Issue: 10
起始頁: 26096
結束頁: 26114
Appears in Collections:Articles


Files in This Item:

  1. 917542b46c44d5386e95f279ce53ff00.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.