Computing the Full Earth System at 1 km Resolution
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866914141946511360 |
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| author | Klocke, Daniel Frauen, Claudia Engels, Jan Frederik Alexeev, Dmitry Redler, René Schnur, Reiner Haak, Helmuth Kornblueh, Luis Brüggemann, Nils Chegini, Fatemeh Römmer, Manoel Hoffmann, Lars Griessbach, Sabine Bode, Mathis Coles, Jonathan Gila, Miguel Sawyer, William Calotoiu, Alexandru Budanaz, Yakup Mazumder, Pratyai Copik, Marcin Weber, Benjamin Herten, Andreas Bockelmann, Hendryk Hoefler, Torsten Hohenegger, Cathy Stevens, Bjorn |
| author_facet | Klocke, Daniel Frauen, Claudia Engels, Jan Frederik Alexeev, Dmitry Redler, René Schnur, Reiner Haak, Helmuth Kornblueh, Luis Brüggemann, Nils Chegini, Fatemeh Römmer, Manoel Hoffmann, Lars Griessbach, Sabine Bode, Mathis Coles, Jonathan Gila, Miguel Sawyer, William Calotoiu, Alexandru Budanaz, Yakup Mazumder, Pratyai Copik, Marcin Weber, Benjamin Herten, Andreas Bockelmann, Hendryk Hoefler, Torsten Hohenegger, Cathy Stevens, Bjorn |
| contents | We present the first-ever global simulation of the full Earth system at 1.25 km grid spacing, achieving highest time compression with an unseen number of degrees of freedom. Our model captures the flow of energy, water, and carbon through key components of the Earth system: atmosphere, ocean, and land. To achieve this landmark simulation, we harness the power of 8192 GPUs on Alps and 20480 GPUs on JUPITER, two of the world's largest GH200 superchip installations. We use both the Grace CPUs and Hopper GPUs by carefully balancing Earth's components in a heterogeneous setup and optimizing acceleration techniques available in ICON's codebase. We show how separation of concerns can reduce the code complexity by half while increasing performance and portability. Our achieved time compression of 145.7 simulated days per day enables long studies including full interactions in the Earth system and even outperforms earlier atmosphere-only simulations at a similar resolution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_02021 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Computing the Full Earth System at 1 km Resolution Klocke, Daniel Frauen, Claudia Engels, Jan Frederik Alexeev, Dmitry Redler, René Schnur, Reiner Haak, Helmuth Kornblueh, Luis Brüggemann, Nils Chegini, Fatemeh Römmer, Manoel Hoffmann, Lars Griessbach, Sabine Bode, Mathis Coles, Jonathan Gila, Miguel Sawyer, William Calotoiu, Alexandru Budanaz, Yakup Mazumder, Pratyai Copik, Marcin Weber, Benjamin Herten, Andreas Bockelmann, Hendryk Hoefler, Torsten Hohenegger, Cathy Stevens, Bjorn Atmospheric and Oceanic Physics Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics We present the first-ever global simulation of the full Earth system at 1.25 km grid spacing, achieving highest time compression with an unseen number of degrees of freedom. Our model captures the flow of energy, water, and carbon through key components of the Earth system: atmosphere, ocean, and land. To achieve this landmark simulation, we harness the power of 8192 GPUs on Alps and 20480 GPUs on JUPITER, two of the world's largest GH200 superchip installations. We use both the Grace CPUs and Hopper GPUs by carefully balancing Earth's components in a heterogeneous setup and optimizing acceleration techniques available in ICON's codebase. We show how separation of concerns can reduce the code complexity by half while increasing performance and portability. Our achieved time compression of 145.7 simulated days per day enables long studies including full interactions in the Earth system and even outperforms earlier atmosphere-only simulations at a similar resolution. |
| title | Computing the Full Earth System at 1 km Resolution |
| topic | Atmospheric and Oceanic Physics Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2511.02021 |