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Apparent stability of GPS monumentation from short-baseline time series


King, MA and Williams, SDP, Apparent stability of GPS monumentation from short-baseline time series, Journal of Geophysical Research B: Solid Earth, 114, (10) ISSN 0148-0227 (2009) [Refereed Article]

DOI: doi:10.1029/2009JB006319


Long-running, short (≪1 km) GPS baselines offer an insight into the accuracy budget of geophysical estimates inferred from GPS coordinate time series. In this paper, we report on analysis of 10 short baselines using data spanning several years and examine deviations from a constant baseline length. Annual signals with amplitude >0.5 mm are evident in various coordinate components at 6 of the 10 sites, with amplitudes exceeding 2.5 mm on two baselines. These signals are largely invariant to elevation cutoff angle. Multipath and phase center model errors are shown to probably have negligible effects at most sites at annual periods. They are therefore likely real monument motions, although linear thermal expansion is negligible at most sites. Linear trends >0.25 mm yr -1 are evident on four baselines in at least one coordinate component. Subdaily signals are present at all sites at ∼K1 and its higher harmonics. Time-correlated noise, possibly in the form of flicker noise, dominates despite many common signals being eliminated as a result of the small baseline lengths, although it is around 1 order of magnitude smaller than for single site PPP solutions. We constrain monument random walk motion to be no more than 0.5 mm yr -1/2. If these baseline motion results were representative of the ∼300 currently active IGS sites, 180 would have annual signals >0.5 mm in at least one coordinate component, 120 would have linear rates >0.25 mm yr -1, and almost all sites would have subdaily (K1, K2) signals of >0.1 mm, each solely due to local site effects. Copyright 2009 by the American Geophysical Union.

Item Details

Item Type:Refereed Article
Keywords:baseline survey; coordinate; elevation; estimation method; GPS; random walk method; thermal expansion; time series
Research Division:Earth Sciences
Research Group:Physical geography and environmental geoscience
Research Field:Physical geography and environmental geoscience not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:King, MA (Professor Matt King)
ID Code:82000
Year Published:2009
Web of Science® Times Cited:64
Deposited By:Geography and Environmental Studies
Deposited On:2013-01-14
Last Modified:2013-01-14

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