Articles | Volume 9, issue 3
Solid Earth, 9, 777–795, 2018
https://doi.org/10.5194/se-9-777-2018
Solid Earth, 9, 777–795, 2018
https://doi.org/10.5194/se-9-777-2018
Research article
15 Jun 2018
Research article | 15 Jun 2018

The glacial isostatic adjustment signal at present day in northern Europe and the British Isles estimated from geodetic observations and geophysical models

Karen M. Simon et al.

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Cited articles

Altamimi, Z., Collilieux, X., and Métivier, L.: ITRF2008: an improved solution of the international terrestrial reference frame, J. Geodesy., 85, 457–473, https://doi.org/10.1007/s00190-011-0444-4, 2011.
Argus, D. F., Peltier, W. R., Drummond, R., and Moore, A. W.: The Antarctica component of postglacial rebound model ICE-6G_C (VM5a) based on GPS positioning, exposure age dating of ice thicknesses, and relative sea level histories, Geophys. J. Int., 198, 537–563, https://doi.org/10.1093/gji/ggu140, 2014.
Auriac, A., Whitehouse, P. L., Bentley, M. J., Patton, H., Lloyd, J. M., and Hubbard, A.: Glacial isostatic adjustment associated with the Barents Sea ice sheet: A modelling inter-comparison, Quaternary Sci. Rev., 147, 122–135, https://doi.org/10.1016/j.quascirev.2016.02.011, 2016.
Blewitt, G., Kreemer, C., Hammond, W. C., and Gazeaux, J.: MIDAS robust trend estimator for accurate GPS station velocities without step detection, J. Geophys. Res.-Sol. Ea., 121, 2054–2068, https://doi.org/10.1002/2015JB012552, 2016.
Bradley, S. L., Milne, G. A., Shennan, I., and Edwards, R.: An improved glacial isostatic adjustment model for the British Isles, J. Quaternary Sci., 26, 541–552, https://doi.org/10.1002/jqs.1481, 2011.
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Short summary
This study constrains the post-glacial rebound signal in Scandinavia and northern Europe via the combined inversion of prior forward model information with GPS-measured vertical land motion data and GRACE gravity data. The best-fit model for vertical motion rates has a χ2 value of ~ 1 and a maximum uncertainty of 0.3–0.4 mm yr−1. An advantage of inverse models relative to forward models is their ability to estimate formal uncertainties associated with the post-glacial rebound process.