EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Digital Twinning of Geophysical Extreme Phenomena (DT-GEO)

Ramon Carbonell1, Arnau Folch1, Antonio Costa2, Beata Orlecka-Sikora3, Piero Lanucara4, Finn Løvholt5, Jorge Macias6, Sascha Brune7, Alice-Agnes Gabriel8, Sara Barsotti9, Joern Behrens10, Jorge Gomes11, Jean Schmittbuhl12, Carmela Freda13, Joanna Kocot14, Domenico Giardini15, Michael Afanasiev16, Helen Galves17, and Rosa Badia18
Ramon Carbonell et al.
  • 1CSIC-GEO3BCN Geosciences Barcelona (Spanish National Research Council), Barcelona, Spain (
  • 2Istituto Nazionale di Geofisica e Vulcanologia, Palermo, Italy,
  • 3Institute of Geophysics Polish Academy of Sciences, Seismology, Warsaw, Poland,
  • 4CINECA, Rome, Italy,
  • 5Norwegian Geotechnical Institute, Oslo, Norway,
  • 6University of Malaga, Applied Mathematics, Malaga, Spain,
  • 7GFZ, Potsdam, Germany
  • 8Ludwig-Maximilians-Universität, Munich, Germany,
  • 9Icelandic Meteorological Office, Monitoring and forecasting, 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, Rome, Italy
  • 14Akademia Gorniczo-Hunticza CYFRONET, Warsaw, Poland,
  • 15Federal Institute of Technology ETH, Zurich, Switzerland
  • 16Mondaic AG, Zurich, Switzerland,
  • 17British Geological Survey (UKRI), United Kingdom
  • 18Barcelona Supercomputing Center, Spain

Destination Earth initiative pursues the implementation of a digital model of the Earth. With the aim to help understand and simulate the evolution and behavior of the Earth system components, to aid in better forecasting the impacts on human system processes, ecosystem processes and their interaction. The current state of the art technologies in numerical computations (HPC), data infrastructures (involving data storage, data access, data analysis), enable the possibility of developing numerical clones mimicking Earth’s geophysical extreme phenomena.A Digital Twin for GEOphysical extremes (DT-GEO),is a new EU project funded under the Horizon Europe programme (2022-2025), with the objective of developing a prototype for a digital twin on geophysical extremes including earthquakes, volcanoes, tsunamis, and anthropogenic-induced extreme events. It will enable analyses, forecasts, and responses to “what if” scenarios for natural hazards from their genesis phases and across their temporal and spatial scales. The project consortium brings together world-class computational and data Research Infrastructures (RIs), operational monitoring networks, and leading-edge research and academia partnerships in various fields of geophysics. It mergesthe latest outcomes from other European projects and, Centers of Excellence. DT-GEO will deploy and test 12 Digital Twin Components (DTCs). These will be self-contained entities 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 for deployment and execution of single or coupled DTCs in centralized HPC and virtual cloud computing Ris. (DT-GEO: A Digital Twin for GEOphysical extremes, project ID 101058129)

How to cite: Carbonell, R., Folch, A., Costa, A., Orlecka-Sikora, B., Lanucara, P., Løvholt, F., Macias, J., Brune, S., Gabriel, A.-A., Barsotti, S., Behrens, J., Gomes, J., Schmittbuhl, J., Freda, C., Kocot, J., Giardini, D., Afanasiev, M., Galves, H., and Badia, R.: Digital Twinning of Geophysical Extreme Phenomena (DT-GEO), EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-5674,, 2023.