Articles | Volume 10, issue 6
https://doi.org/10.5194/se-10-1905-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-10-1905-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Nov 2019
Research article |
| 08 Nov 2019
| 08 Nov 2019
Extracting small deformation beyond individual station precision from dense Global Navigation Satellite System (GNSS) networks in France and western Europe
Christine Masson
CORRESPONDING AUTHOR
Géosciences Montpellier, CNRS, University of Montpellier,
Université des Antilles, Montpellier, 34000, France
Stephane Mazzotti
Géosciences Montpellier, CNRS, University of Montpellier,
Université des Antilles, Montpellier, 34000, France
Philippe Vernant
Géosciences Montpellier, CNRS, University of Montpellier,
Université des Antilles, Montpellier, 34000, France
Erik Doerflinger
Géosciences Montpellier, CNRS, University of Montpellier,
Université des Antilles, Montpellier, 34000, France
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Short summary
In using dense geodetic networks and large GPS datasets, we are able to extract regionally coherent velocities and deformation rates in France and neighboring western European countries. This analysis is combined with statistical tests on synthetic data to quantify the deformation detection thresholds and significance levels.
In using dense geodetic networks and large GPS datasets, we are able to extract regionally...
