Earth Virtualization Engines: a technical perspective

Hoefler, T. ORCID: https://orcid.org/0000-0002-1333-9797, Stevens, B. ORCID: https://orcid.org/0000-0003-3795-0475, Prein, A. F. ORCID: https://orcid.org/0000-0001-6250-179X, Baehr, J. ORCID: https://orcid.org/0000-0003-4696-8941, Schulthess, T., Stocker, T. F. ORCID: https://orcid.org/0000-0003-1245-2728, Taylor, J. ORCID: https://orcid.org/0000-0001-9003-4076, Klocke, D. ORCID: https://orcid.org/0000-0001-7405-013X, Manninen, P., Forster, P. M., Kölling, T., Gruber, N. ORCID: https://orcid.org/0000-0002-2085-2310, Anzt, H., Frauen, C. ORCID: https://orcid.org/0000-0002-8615-5702, Ziemen, F. ORCID: https://orcid.org/0000-0001-7095-5740, Klöwer, M. ORCID: https://orcid.org/0000-0002-3920-4356, Kashinath, K., Schär, C., Fuhrer, O. and Lawrence, B. N. ORCID: https://orcid.org/0000-0001-9262-7860 (2023) Earth Virtualization Engines: a technical perspective. Computing in Science & Engineering, 25 (3). pp. 50-59. ISSN 1521-9615 doi: 10.1109/MCSE.2023.3311148

Abstract/Summary

Participants of the Berlin Summit on Earth Virtualization Engines (EVEs) discussed ideas and concepts to improve our ability to cope with climate change. EVEs aim to provide interactive and accessible climate simulations and data for a wide range of users. They combine high-resolution physics-based models with machine learning techniques to improve the fidelity, efficiency, and interpretability of climate projections. At their core, EVEs offer a federated data layer that enables simple and fast access to exabyte-sized climate data through simple interfaces. In this article, we summarize the technical challenges and opportunities for developing EVEs, and argue that they are essential for addressing the consequences of climate change.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/114091
Identification Number/DOI	10.1109/MCSE.2023.3311148
Refereed	No
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	IEEE
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