Earth Virtualization Engines: A Technical Perspective

Torsten Hoefler; Bjorn Stevens; Andreas F. Prein; J. Baehr; T. Schulthess; Thomas F. Stocker; John Taylor; Daniel Klocke; Pekka Manninen; Piers M. Forster; Tobias Kolling; Nicolas Gruber; Hartwig Anzt; Claudia Frauen; Flora Ziemen; Milan Klower; K. Kashinath; C. Schar; Oliver Fuhrer; Bryan N. Lawrence

doi:10.1109/MCSE.2023.3311148

Earth Virtualization Engines: A Technical Perspective

Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, J. Baehr, T. Schulthess, Thomas F. Stocker, John Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias Kolling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Flora Ziemen, Milan Klower, K. Kashinath, C. Schar, Oliver Fuhrer, Bryan N. Lawrence

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

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 its 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.

Original language	English
Pages (from-to)	50-59
Number of pages	10
Journal	Computing in Science and Engineering
Volume	25
Issue number	3
DOIs	https://doi.org/10.1109/MCSE.2023.3311148
State	Published - May 1 2023
Externally published	Yes

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Hoefler, T., Stevens, B., Prein, A. F., Baehr, J., Schulthess, T., Stocker, T. F., Taylor, J., Klocke, D., Manninen, P., Forster, P. M., Kolling, T., Gruber, N., Anzt, H., Frauen, C., Ziemen, F., Klower, M., Kashinath, K., Schar, C., Fuhrer, O., & Lawrence, B. N. (2023). Earth Virtualization Engines: A Technical Perspective. Computing in Science and Engineering, 25(3), 50-59. https://doi.org/10.1109/MCSE.2023.3311148

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title = "Earth Virtualization Engines: A Technical Perspective",

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 its 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.",

author = "Torsten Hoefler and Bjorn Stevens and Prein, \{Andreas F.\} and J. Baehr and T. Schulthess and Stocker, \{Thomas F.\} and John Taylor and Daniel Klocke and Pekka Manninen and Forster, \{Piers M.\} and Tobias Kolling and Nicolas Gruber and Hartwig Anzt and Claudia Frauen and Flora Ziemen and Milan Klower and K. Kashinath and C. Schar and Oliver Fuhrer and Lawrence, \{Bryan N.\}",

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year = "2023",

month = may,

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doi = "10.1109/MCSE.2023.3311148",

language = "English",

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Hoefler, T, Stevens, B, Prein, AF, Baehr, J, Schulthess, T, Stocker, TF, Taylor, J, Klocke, D, Manninen, P, Forster, PM, Kolling, T, Gruber, N, Anzt, H, Frauen, C, Ziemen, F, Klower, M, Kashinath, K, Schar, C, Fuhrer, O & Lawrence, BN 2023, 'Earth Virtualization Engines: A Technical Perspective', Computing in Science and Engineering, vol. 25, no. 3, pp. 50-59. https://doi.org/10.1109/MCSE.2023.3311148

TY - JOUR

T1 - Earth Virtualization Engines

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AU - Hoefler, Torsten

AU - Stevens, Bjorn

AU - Prein, Andreas F.

AU - Baehr, J.

AU - Schulthess, T.

AU - Stocker, Thomas F.

AU - Taylor, John

AU - Klocke, Daniel

AU - Manninen, Pekka

AU - Forster, Piers M.

AU - Kolling, Tobias

AU - Gruber, Nicolas

AU - Anzt, Hartwig

AU - Frauen, Claudia

AU - Ziemen, Flora

AU - Klower, Milan

AU - Kashinath, K.

AU - Schar, C.

AU - Fuhrer, Oliver

AU - Lawrence, Bryan N.

PY - 2023/5/1

Y1 - 2023/5/1

N2 - 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 its 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.

AB - 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 its 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.

UR - https://www.scopus.com/pages/publications/85176574443

U2 - 10.1109/MCSE.2023.3311148

DO - 10.1109/MCSE.2023.3311148

M3 - Article

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VL - 25

SP - 50

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JO - Computing in Science and Engineering

JF - Computing in Science and Engineering

IS - 3

ER -

Earth Virtualization Engines: A Technical Perspective

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