CV

Research experience

• October 2022 - September 2024: Postdoc
  • Institut de Physique du Globe de Paris (IPGP), Paris, France
  • Goal: Developping a realistic spatio-temporal modelling of GNSS position time series
  • Supervisor: Paul Rebischung
  • Funding: Centre National d’Études Spatiales (CNES) postdoctoral research grant
• February 2021 - July 2022: Postdoc
  • Royal Observeatory of Belgium, Uccle, Belgium
  • Goal: Statistical modelling of GNSS and InSAR-based position time series applied to the monitoring of groundwater-induced deformation
  • Supervisor: Michel Van Camp
  • Funding: Belgian Science Policy (BELSPO)
• November 2020 - December 2020: Research Engineer
  • University of La Rochelle, La Rochelle, France
  • Goal: Statistical modelling of the GNSS position time series made available by the SONEL service
  • Supervisor: Guy Woppelmann
  • Funding: Centre National de la Recherche Scientifique (CNRS)
• November 2017 - October 2020: Ph.D. Candidate
  • University of La Rochelle, University of Liege, Royal Observeatory of Belgium
  • Ph.D Thesis: Statistical analysis of vertical land motions and sea level measurements at the coast
  • Supervisors: Olivier de Viron, Michel Van Camp, Alain Demoulin
  • Funding: Agence Innovation Défense & Région Nouvelle-Aquitaine

Education

• M.S. in Land Surveying & Geodesy, École Supérieure des Géomètres et Topographes (ESGT), (2017)
• Ph.D. in Geodesy, University of La Rochelle, University of Liege, (2021)

Skills

• Data analysis
  • Time series analysis
  • Stochastic process modelling
  • Estimation theory
  • Testing theory
• Geodesy
  • Global Naviguation Satellite Systems
  • Terrestrial geodesy
  • Sea-level measurement
• Programming
  • Python 3

Publications

Assessment of tide gauge biases and precision by the combination of multiple collocated time series

Gobron, K., de Viron, O., Woppelmann, G., Poirier, E., Ballu, V., & Van Camp, M. (2019)."Assessment of Tide Gauge Biases and Precision by the Combination of Multiple Collocated Time Series." Journal of Atmospheric and Oceanic Technology. 36(10).

Influence of aperiodic non-tidal atmospheric and oceanic loading deformations on the stochastic properties of global GNSS vertical land motion time series

Gobron, K., Rebischung, P., Van Camp, M., Demoulin, A., & de Viron, O. (2021)."Influence of Aperiodic Non-Tidal Atmospheric and Oceanic Loading Deformations on the Stochastic Properties of Global GNSS Vertical Land Motion Time Series." Journal of Geophysical Research: Solid Earth. 126(9).

Extreme hydrometeorological events, a challenge for gravimetric and seismology networks

Van Camp, M., de Viron, O., Dassargues, A., Delobbe, L., Chanard, K., & Gobron, K. (2022). "Extreme hydrometeorological events, a challenge for gravimetric and seismology networks." Earth's Future. 10(4).

Impact of offsets on assessing the low-frequency stochastic properties of geodetic time series

Gobron, K., Rebischung, P., de Viron, O., Demoulin, A., & Van Camp, M. (2022). "Impact of offsets on assessing the low-frequency stochastic properties of geodetic time series." Journal of Geodesy. 96(7).

Stress transmission along mid-crustal faults highlighted by the 2021 Mw 6.5 San Juan (Argentina) earthquake

Ammirati, J. B., Mackaman-Lofland, C., Zeckra, M., & Gobron, K. (2022). "Stress transmission along mid-crustal faults highlighted by the 2021 Mw 6.5 San Juan (Argentina) earthquake." Scientific Reports. 12(1).