Reference : A continuous GPS coordinate time series analysis strategy for high-accuracy vertical ...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
Physics and Materials Science
http://hdl.handle.net/10993/26688
A continuous GPS coordinate time series analysis strategy for high-accuracy vertical land movements
English
Teferle, Felix Norman mailto [Institute of Engineering Surveying and Space Geodesy, University of Nottingham, Nottingham, UK]
Williams, S. D. P. [Proudman Oceanographic Laboratory, Joseph Proudman Building, Liverpool, UK]
Kierulf, H. P. [Norwegian Mapping Authority, Geodetic Institute, H√łnefoss, Norway]
Bingley, R. M. [Institute of Engineering Surveying and Space Geodesy, University of Nottingham, Nottingham, UK]
Plag, H.-P. [Nevada Bureau of Mines and Geology and Seismological Laboratory, University of Nevada, Reno, USA]
2008
Physics and chemistry of the earth
Elsevier Science
33
3-4
205-216
Yes (verified by ORBilu)
International
1474-7065
1873-5193
Oxford
United Kingdom
[en] Global Positioning system ; Coordinate Time Series ; Maximum Likelihood Estimation ; Empirical Oorthogonal Function Analysis ; Common Mode
[en] A CGPS coordinate time series analysis strategy was evaluated to determine highly accurate vertical station velocity estimates with realistic uncertainties. This strategy uses a combination of techniques to 1) obtain the most accurate parameter estimates of the station motion model, 2) infer the stochastic properties of the time series in order to compute more realistic error bounds for all parameter estimates, and 3) improve the understanding of apparent common systematic variations in the CGPS coordinate time series, which are believed to be of geophysical and/or technical origin. The strategy provided a pre-processing of the coordinate time series in which outliers and discontinuities were identified. Subsequent parameterization included a mean value, a constant rate, periodic terms with annual and semi-annual frequencies, and offset magnitudes for identified discontinuities. All parameters plus the magnitudes of different stochastic noise were determined using Maximum Likelihood Estimation (MLE). Empirical Orthogonal Function (EOF) analysis was used to study both the temporal and spatial variability of the common modes determined by this technique. After outlining the CGPS coordinate time series analysis strategy this paper shows initial results for coordinate time series for a four year (2000-2003) period from a selection of CGPS stations in Europe that are part of the European Sea Level Service (ESEAS) CGPS network.
EU FP6
http://hdl.handle.net/10993/26688
10.1016/j.pce.2006.11.002

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