Earth Virtualization Engines -- A Technical Perspective

• URL: http://arxiv.org/abs/2309.09002v1
• Date: Sat, 16 Sep 2023 14:14:39 GMT
• Title: Earth Virtualization Engines -- A Technical Perspective
• Authors: Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, Johanna Baehr, Thomas Schulthess, Thomas F. Stocker, John Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias K\"olling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Florian Ziemen, Milan Kl\"ower, Karthik Kashinath, Christoph Sch\"ar, Oliver Fuhrer, Bryan N. Lawrence
• Abstract summary: 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.
• Score: 11.370541118978181
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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