Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1665-2018
https://doi.org/10.5194/gmd-11-1665-2018
Development and technical paper
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02 May 2018
Development and technical paper | Highlight paper |  | 02 May 2018

Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0

Oliver Fuhrer, Tarun Chadha, Torsten Hoefler, Grzegorz Kwasniewski, Xavier Lapillonne, David Leutwyler, Daniel Lüthi, Carlos Osuna, Christoph Schär, Thomas C. Schulthess, and Hannes Vogt

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Cited articles

Alverson, B., Froese, E., Kaplan, L., and Roweth, D.: Cray XC Series Network, Tech. Rep., available at: https://www.cray.com/sites/default/files/resources/CrayXCNetwork.pdf (last access: 3 April 2017), 2012. a
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Baldauf, M., Seifert, A., Foerstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities, Mon. Weather Rev., 139, 3887–3905, 2011. a
Ban, N., Schmidli, J., and Schär, C.: Heavy precipitation in a changing climate: Does short-term summer precipitation increase faster?, Geophys. Res. Lett., 42, 1165–1172, 2015. a, b
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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.