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  • Citation
    27 janvier 2020, par Médéric Gravelle

    Heflin, M., Donnellan, A., Parker, J., Lyzenga, G., Moore, A., Ludwig, L. G., et al. (2020). Automated estimation and tools to extract positions, velocities, breaks, and seasonal terms from daily GNSS measurements : illuminating nonlinear Salton Trough deformation. Earth and Space Science, 7, e2019EA000644. https://doi.org/10.1029/2019EA000644

  • Citation
    21 October 2022, by Médéric Gravelle

    Männel, B., Schöne, T., Bradke, M., Schuh, H. (2022). Vertical Land Motion at Tide Gauges Observed by GNSS: A New GFZ-TIGA Solution. In: International Association of Geodesy Symposia. Springer, Berlin, Heidelberg. https://doi.org/10.1007/1345_2022_150

  • Citation
    14 novembre 2022, par Médéric Gravelle

    Gravelle, M., G. Wöppelmann, K. Gobron, Z. Altamimi, M. Guichard, T. Herring, P. Rebischung (2023). The ULR-repro3 GPS data reanalysis and its estimates of vertical land motion at tide gauges for sea level science. Earth System Science Data, doi:10.5194/essd-2022-235, accepted 10 January 2023.

  • Citation
    3 novembre 2020, par Médéric Gravelle

    Santamaría-Gómez A., M. Gravelle, S. Dangendorf, M. Marcos, G. Spada, G. Wöppelmann (2017). Uncertainty of the 20th century sea-level rise due to vertical land motion errors. Earth and Planetary Science Letters, 473, 24-32.

  • Citation
    28 août 2020, par Médéric Gravelle

    Deng Z., Gendt G., Schöne T. (2015) Status of the IGS-TIGA Tide Gauge Data Reprocessing at GFZ. In : Rizos C., Willis P. (eds) IAG 150 Years. International Association of Geodesy Symposia, vol 143. Springer, Cham https://link.springer.com/chapter/10.1007%2F1345_2015_156

  • Citation
    20 February 2017, by Guy Woppelmann

    G. Wöppelmannn & M. Marcos (2016) : Vertical land motion as a key to understanding sea level change and variability. Reviews of Geophysics, 54, pp. 64-92.

  • Citation
    27 janvier 2020, par Médéric Gravelle

    Pour les séries temporelles :
    Blewitt G., W. C. Hammond, C. Kreemer (2018). Harnessing the GPS data explosion for interdisciplinary science. Eos, 99, doi:10.1029/2018EO104623.
    Pour les vitesses :
    Blewitt G., C. Kreemer, W.C. Hammond, J. Gazeaux (2016). MIDAS robust trend estimator for accurate GPS station velocities without step detection. Journal of Geophysical Research, 121, 2054-2068, doi:10.1002/2015JB012552.