EGU26-13691, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-13691
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
GITpy: An open-source, data-driven framework for robust ground-motion parameter estimation across tectonic settings
Maria D'Amico1, Paola Morasca1, Spallarossa Daniele2, Bindi Dino3, Picozzi Matteo4, Oth Adrien5, and Pacor Francesca1
Maria D'Amico et al.
  • 1INGV, Istituto Nazionale di Geofisica e Vulcanologia, Italy
  • 2University of Genoa, Dipartimento di Scienze della Terra dell'Ambiente e della Vita, Italy
  • 3German Research Centre for Geosciences GFZ, Potsdam, Germany
  • 4National Institute of Oceanography and Applied Geophysics - OGS, Udine, Italy
  • 5European Center for Geodynamics and Seismology, Luxembourg

How to cite: D'Amico, M., Morasca, P., Daniele, S., Dino, B., Matteo, P., Adrien, O., and Francesca, P.: GITpy: An open-source, data-driven framework for robust ground-motion parameter estimation across tectonic settings, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13691, https://doi.org/10.5194/egusphere-egu26-13691, 2026.

This abstract has been withdrawn on 20 Apr 2026.