Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1665-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-1665-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| Highlight paper
| 
02 May 2018
Development and technical paper | Highlight paper |
| 02 May 2018
| 02 May 2018
Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0
Oliver Fuhrer
CORRESPONDING AUTHOR
Federal Institute of Meteorology and Climatology, MeteoSwiss, Zurich, Switzerland
Tarun Chadha
ITS Research Informatics, ETH Zurich, Switzerland
Torsten Hoefler
Scalable Parallel Computing Lab, ETH Zurich, Switzerland
Grzegorz Kwasniewski
Scalable Parallel Computing Lab, ETH Zurich, Switzerland
Xavier Lapillonne
Federal Institute of Meteorology and Climatology, MeteoSwiss, Zurich, Switzerland
David Leutwyler
Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland
Daniel Lüthi
Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland
Carlos Osuna
Federal Institute of Meteorology and Climatology, MeteoSwiss, Zurich, Switzerland
Christoph Schär
Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland
Thomas C. Schulthess
Institute for Theoretical Physics, ETH Zurich, Switzerland
Swiss National Supercomputing Centre, CSCS, Lugano, Switzerland
Hannes Vogt
Swiss National Supercomputing Centre, CSCS, Lugano, Switzerland
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Latest update: 23 Apr 2024
Short summary
The best hope for reducing long-standing uncertainties in climate projections is through increasing the horizontal resolution of climate models to the kilometer scale. We establish a baseline of what it would take to do such simulations using an atmospheric model that has been adapted to run on a supercomputer accelerated with graphics processing units. To our knowledge this represents the first production-ready atmospheric model being run entirely on accelerators on this scale.
The best hope for reducing long-standing uncertainties in climate projections is through...
