4.4 Article

Analysis of Seasonal Signal in GPS Short-Baseline Time Series

Journal

PURE AND APPLIED GEOPHYSICS
Volume 175, Issue 10, Pages 3485-3509

Publisher

SPRINGER BASEL AG
DOI: 10.1007/s00024-018-1871-4

Keywords

Monument thermal expansion; seasonal signal; GPS short-baseline; noise characteristic

Funding

  1. National Science Foundation for Distinguished Young Scholars of China [41525014]
  2. National Natural Science Foundation of China [41374033, 41210006]
  3. Program for Changjiang Scholars of the Ministry of Education of China
  4. project of Wuhan University

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Proper modeling of seasonal signals and their quantitative analysis are of interest in geoscience applications, which are based on position time series of permanent GPS stations. Seasonal signals in GPS short-baseline (<2km) time series, if they exist, are mainly related to site-specific effects, such as thermal expansion of the monument (TEM). However, only part of the seasonal signal can be explained by known factors due to the limited data span, the GPS processing strategy and/or the adoption of an imperfect TEM model. In this paper, to better understand the seasonal signal in GPS short-baseline time series, we adopted and processed six different short-baselines with data span that varies from 2 to 14years and baseline length that varies from 6 to 1100m. To avoid seasonal signals that are overwhelmed by noise, each of the station pairs is chosen with significant differences in their height (>5m) or type of the monument. For comparison, we also processed an approximately zero baseline with a distance of<1m and identical monuments. The daily solutions show that there are apparent annual signals with annual amplitude of similar to 1mm (maximum amplitude of 1.86 +/- 0.17mm) on almost all of the components, which are consistent with the results from previous studies. Semi-annual signal with a maximum amplitude of 0.97 +/- 0.25mm is also present. The analysis of time-correlated noise indicates that instead of flicker (FL) or random walk (RW) noise, band-pass-filtered (BP) noise is valid for approximately 40% of the baseline components, and another 20% of the components can be best modeled by a combination of the first-order Gauss-Markov (FOGM) process plus white noise (WN). The TEM displacements are then modeled by considering the monument height of the building structure beneath the GPS antenna. The median contributions of TEM to the annual amplitude in the vertical direction are 84% and 46% with and without additional parts of the monument, respectively. Obvious annual signals with amplitude>0.4mm in the horizontal direction are observed in five short-baselines, and the amplitudes exceed 1mm in four of them. These horizontal seasonal signals are likely related to the propagation of daily/sub-daily TEM displacement or other signals related to the site environment. Mismodeling of the tropospheric delay may also introduce spurious seasonal signals with annual amplitudes of similar to 5 and similar to 2mm, respectively, for two short-baselines with elevation differences greater than 100m. The results suggest that the monument height of the additional part of a typical GPS station should be considered when estimating the TEM displacement and that the tropospheric delay should be modeled cautiously, especially with station pairs with apparent elevation differences. The scheme adopted in this paper is expected to explicate more seasonal signals in GPS coordinate time series, particularly in the vertical direction.

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