Earth Virtualization Engines -- A Technical Perspective
Atmospheric and Oceanic Physics2023-09-19v1Artificial IntelligenceComputational Engineering, Finance, and ScienceComputers and SocietyPhysics and Society
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.
@article{arxiv.2309.09002,
title = {Earth Virtualization Engines -- A Technical Perspective},
author = {Torsten Hoefler and Bjorn Stevens and Andreas F. Prein and Johanna Baehr and Thomas Schulthess and Thomas F. Stocker and John Taylor and Daniel Klocke and Pekka Manninen and Piers M. Forster and Tobias Kölling and Nicolas Gruber and Hartwig Anzt and Claudia Frauen and Florian Ziemen and Milan Klöwer and Karthik Kashinath and Christoph Schär and Oliver Fuhrer and Bryan N. Lawrence},
journal= {arXiv preprint arXiv:2309.09002},
year = {2023}
}