T
T. van Dam
Researcher at University of Luxembourg
Publications - 30
Citations - 1737
T. van Dam is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Gravimeter & Satellite. The author has an hindex of 16, co-authored 29 publications receiving 1523 citations. Previous affiliations of T. van Dam include National Museum of Natural History & American Museum of Natural History.
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Journal ArticleDOI
Crustal displacements due to continental water loading
T. van Dam,John Wahr,Paul C.D. Milly,Paul C.D. Milly,A. B. Shmakin,Geoffrey Blewitt,Geoffrey Blewitt,David Lavallée,Kristine M. Larson +8 more
TL;DR: In this article, the effects of long-wavelength (> 100 km), seasonal variability in continental water storage on vertical crustal motions are assessed, and the modeled vertical displace-ments (ARM) have root-mean-square (RMS) values for 1994-1998 as large as 8 mm, with ranges up to 30 mm, and are predominantly annual in character.
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Anomalous harmonics in the spectra of GPS position estimates
TL;DR: In this article, the authors examined the power spectra of the GPS position time series and found pervasive seasonal signals against a power-law background of flicker noise plus white noise.
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A comparison of annual vertical crustal displacements from GPS and Gravity Recovery and Climate Experiment (GRACE) over Europe
TL;DR: In this article, the authors compare the GPS height residuals with predictions of vertical surface displacements derived from the Gravity Recovery and Climate Experiment (GRACE) gravity fields for stations in Europe.
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Singular spectrum analysis for modeling seasonal signals from GPS time series
TL;DR: Singular Spectrum Analysis is demonstrated to be a viable and complementary tool for extracting modulated oscillations from GPS time series and its results demonstrate that the value of SSA for extracting time-variable seasonal signals from GPSTime series is compared.
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Nontidal ocean loading: amplitudes and potential effects in GPS height time series
TL;DR: In this paper, the amplitude of the predicted effect of OBP on the height coordinate time series from a global distribution of GPS stations was reassessed using more recent OBP estimates from the Estimating the Circulation and Climate of the Ocean (ECCO) project.