EGU23-3842, updated on 24 Apr 2023
https://doi.org/10.5194/egusphere-egu23-3842
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

TREAD daTa and pRocesses in sEismic hAzarD: a MSCA-Doctoral Networks project 2023-2027

Bruno Pace1, Lucilla Benedetti2, Ylona Van Dinther3, Marco Pagani4, David Marsan5, Alice Gabriel6, Maria Ortuno7, Giulio Di Toro8, Men-Andrin Meier9, and the TREAD working group*
Bruno Pace et al.
  • 1Università degli Studi di Chieti-Pescara (Ud’A), Italy (bruno.pace@unich.it)
  • 2Centre National de la Recherche Scientifique (CNRS), France (benedetti@cerege.fr)
  • 3Universiteit Utrecht (UU), Netherlands (y.vandinther@uu.nl)
  • 4Fondazione GEM (GEM), Italy (marco.pagani@globalquakemodel.org)
  • 5Université Grenoble-Alpes (UGA), France (david.marsan@univ-smb.fr)
  • 6Ludwig-Maximilians-Universität München (LMU), Germany (gabriel@geophysik.uni-muenchen.de)
  • 7Universitat de Barcelona (UB), Spain (maria.ortuno@ub.edu)
  • 8Università degli Studi di Padova (UNIPD), Italy (giulio.ditoro@unipd.it)
  • 9Swiss Federal Institute of Technology (ETH), Switzerland (menandrin.meier@erdw.ethz.ch)
  • *A full list of authors appears at the end of the abstract

TREAD is a new project funded by the European Commission in the framework of Marie Sklodowska-Curie actions, Horizon Europe Doctoral Networks.

The aim of TREAD is to train a new generation of researchers to tackle the challenges of earthquake forecasting in complex tectonic settings using integrated observations and physics. The TREAD objectives are: (i) to develop a novel integrative approach to seismic hazard analysis in Europe and the Mediterranean from small-scale laboratory experiments to large-scale observations. (ii) to establish physics-based earthquake modelling bridging time scales from millions of years to fractions of a second in complex tectonic settings. (iii) to improve the link between earthquake geology, computational modelling and hazard and risk assessment with a focus on the needs of governments, industry and scientific stakeholders.

To reach these objectives the TREAD consortium comprises 14 academic and 8 non-academic institutions, of which 8 private partners, of high scientific level, from 7 European countries, covering cutting-edge knowledge and expertise in observational, experimental and modelling fields. 11 PhD positions will be available soon.

TREAD working group:

Andrè Niemeijer, Vitor Silva, Erwan Pathier, Oona, Scotti, Laura Peruzza, Francesco Visini, Alessandro Verdecchia, Yann Klinger, Moritz Kirsch, Stuart Calam, Fadi Nader, Kevin Manchuel, Federico Agliardi, Martin Kaser, Jan-Diederik van Wees, Marco Bianchi, Anne Socquet, Hans de Bresser, Telemaco Tesei, Manuele Faccenda, Taras Gerya, Sebastien Hok, Celine Beauval, Paolo Boncio

How to cite: Pace, B., Benedetti, L., Van Dinther, Y., Pagani, M., Marsan, D., Gabriel, A., Ortuno, M., Di Toro, G., and Meier, M.-A. and the TREAD working group: TREAD daTa and pRocesses in sEismic hAzarD: a MSCA-Doctoral Networks project 2023-2027, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-3842, https://doi.org/10.5194/egusphere-egu23-3842, 2023.