Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/gmd-17-261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Development and technical paper
 | 
12 Jan 2024
Development and technical paper |  | 12 Jan 2024

Earth system modeling on modular supercomputing architecture: coupled atmosphere–ocean simulations with ICON 2.6.6-rc

Abhiraj Bishnoi, Olaf Stein, Catrin I. Meyer, René Redler, Norbert Eicker, Helmuth Haak, Lars Hoffmann, Daniel Klocke, Luis Kornblueh, and Estela Suarez

Viewed

Total article views: 4,018 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,932 947 139 4,018 196 271
  • HTML: 2,932
  • PDF: 947
  • XML: 139
  • Total: 4,018
  • BibTeX: 196
  • EndNote: 271
Views and downloads (calculated since 17 Aug 2023)
Cumulative views and downloads (calculated since 17 Aug 2023)

Viewed (geographical distribution)

Total article views: 4,018 (including HTML, PDF, and XML) Thereof 3,941 with geography defined and 77 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 May 2026
Download
Short summary
We enabled the weather and climate model ICON to run in a high-resolution coupled atmosphere–ocean setup on the JUWELS supercomputer, where the ocean and the model I/O runs on the CPU Cluster, while the atmosphere is running simultaneously on GPUs. Compared to a simulation performed on CPUs only, our approach reduces energy consumption by 45 % with comparable runtimes. The experiments serve as preparation for efficient computing of kilometer-scale climate models on future supercomputing systems.
Read more
Share