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Harnessing the potential of digital twins in seismology

Digital twins — virtual replicas of natural systems — are emerging as promising tools for assessing seismic hazard and for aiding disaster decision-making and earthquake rapid response. However, to truly harness their potential, the challenges of exascale computing must be tackled to create systems that are capable of adapting to ever-evolving earthquake dynamics.

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Fig. 1: Digital Twin Components in seismology.

References

  1. Mohammadi, N. & Taylor, J. E. Thinking fast and slow in disaster decision-making with Smart City Digital Twins. Nat. Comput. Sci. 1, 771–773 (2021).

    Article  Google Scholar 

  2. Tao, F. & Qi, Q. Make more digital twins. Nature 573, 490–491 (2019).

    Article  Google Scholar 

  3. Bauer, P., Stevens, B. & Hazeleger, W. A digital twin of Earth for the green transition. Nat. Clim. Chang. 11, 80–83 (2021).

    Article  Google Scholar 

  4. A Digital Twin for Geophysical Extremes. DT-GEO https://dtgeo.eu/ (2022).

  5. Destination Earth. European Commission https://digital-strategy.ec.europa.eu/en/policies/destination-earth (2020).

  6. Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3, 1–9 (2016).

    Article  Google Scholar 

  7. Fault Activation and Earthquake Rupture. European Research Council https://doi.org/10.3030/856559 (2020).

  8. Dal Zilio, L. & Ampuero, J.-P. Earthquake doublet in Turkey and Syria. Commun. Earth Environ. 4, 71 (2023).

    Article  Google Scholar 

Download references

Acknowledgements

This contribution was supported by the EU project “A Digital Twin for Geophysical Extremes” (DT-GEO) (No: 101058129) and the European Research Council (ERC) Synergy Grant “Fault Activation and Earthquake Rupture” (FEAR) (No 856559). The authors gratefully acknowledge John Clinton for comments and suggestions.

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L.D.Z. and D.G. conceived the Comment and wrote the manuscript. All authors contributed substantially to discussion of the content, reviewed and edited the manuscript before submission.

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Correspondence to Luca Dal Zilio.

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Related links

A Digital Twin for Geophysical Extremes (DT-GEO): https://dtgeo.eu

Destination Earth (DestinE) initiative of the European Commission: https://ec.europa.eu/digital-single-market/en/destination-earth-destine

EU project “Fault Activation and Earthquake Rupture” (FEAR): http://fear-earthquake-research.org

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Dal Zilio, L., Giardini, D., Carbonell, R. et al. Harnessing the potential of digital twins in seismology. Nat Rev Earth Environ 4, 510–512 (2023). https://doi.org/10.1038/s43017-023-00469-y

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