EGU24-21138, updated on 11 Mar 2024
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Digital Twining of Geophysical Extremes

Ramon Carbonell1, Arnau Folch1, Antonio Costa2, Beata Orlecka-Sikora3, Piero Lanucara4, Finn Løvholt5, Jorge Macías6, Sascha Brune7, Alice-Agnes Gabriel8, Sara Barsotti9, Joern Behrens10, Jorge Gomez11, Jean Schmittbuhl12, Carmela Freda13, Joanna Kocot14, Domenico Giardini15, Michael Afanasiev16, Helen Glaves17, and Rosa Badía18
Ramon Carbonell et al.
  • 1Geosciences Barcelona, GEO3BCN-CSIC, Barcelona, Spain
  • 2Istituto Nazionale di Geofisica e Vulcanologia, Palermo, Italy
  • 3Institute of Geophysics Polish Academy of Sciences, Warsaw, Poland
  • 4CINECA, Rome, Italy
  • 5Norwegian Geotechnical Institute, Oslo, Norway
  • 6University of Malaga, Malaga, Spain
  • 7GeoForschungsZentrum GFZ Potsdam, Germany
  • 8Ludwig-Maximilians-Universität, Munich, Germany
  • 9Icelandic Meteorological Office, Reykjavik, Iceland
  • 10University of Hamburg, Hamburg, Germany
  • 11Laboratorio Fisica Experimental de Partículas, Lisboa, Portugal
  • 12University of Strasbourg/CNRS, Strasbourg Cedex, France
  • 13European Plate Observing System, EPOS, Rome, Italy
  • 14Akademia Gorniczo-Hunticza CYFRONET, Warsaw, Poland
  • 15ETH Zurich, Zurich, Switzerland
  • 16Mondaic AG, Zurich, Switzerland
  • 17British Geological Survey, Nottingham, United Kingdom
  • 18Barcelona Supercomputing Center, Barcelona, Spain

The geophysical research community has developed a relatively large amount of numerical codes and scientific methodologies which are able to numerically simulate through physics the extreme behavior of the Earth systems (for example: volcanoes, tsunamis earthquakes, etc). Furthermore,
nowadays, large volumes of data have been acquired and, even near real-time data streams are accessible. Therefore, Earth scientist currently have on their hands the possibility of monitoring these events through sophisticated approaches using the current leading edge computational capabilities provided by pre-exascale computing infrastructures. The implementation and deployments of 12 Digital Twin Components (DTCs), addressing different aspects of geophysical extreme events is being carried out by DT-GEO, a project funded under the Horizon Europe programme (2022-2025). Each DTC is intended as self-contained entity embedding flagship simulation codes, Artificial Intelligence layers, large volumes of (real-time) data streams from and into data-lakes, data assimilation methodologies, and overarching workflows which will are executed independently or coupled DTCs in a centralized HPC and/or virtual cloud computing research infrastructure.

How to cite: Carbonell, R., Folch, A., Costa, A., Orlecka-Sikora, B., Lanucara, P., Løvholt, F., Macías, J., Brune, S., Gabriel, A.-A., Barsotti, S., Behrens, J., Gomez, J., Schmittbuhl, J., Freda, C., Kocot, J., Giardini, D., Afanasiev, M., Glaves, H., and Badía, R.: Digital Twining of Geophysical Extremes, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-21138,, 2024.