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Digital twins of Earth and the computing challenge of human interaction

Digital twins of Earth have the capability to offer versatile access to detailed information on our changing world, helping societies to adapt to climate change and to manage the effects of local impacts, globally. Nevertheless, human interaction with digital twins requires advances in computational science, particularly where complex geophysical data is turned into information to support decision making.

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Fig. 1: Conceptual view of two-layered large-pretrained data-driven modeling system for digital twins of Earth.

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Acknowledgements

Yvonne Schrader is thanked for graphical assistance. We thank our editor Fernando Chirigati for improvements of the text. The authors acknowledge the intellectual benefit of exchanges with the broader community of scientists developing EVE.

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P.B. proposed the paper and wrote the initial draft, T.H. produced the computing science input, and all authors contributed to the concepts and content of the paper.

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Correspondence to Peter Bauer or Torsten Hoefler.

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The authors declare no competing interests.

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Nature Computational Science thanks Pierre Gentine and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Bauer, P., Hoefler, T., Stevens, B. et al. Digital twins of Earth and the computing challenge of human interaction. Nat Comput Sci 4, 154–157 (2024). https://doi.org/10.1038/s43588-024-00599-3

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