Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1549-2017
https://doi.org/10.5194/gmd-10-1549-2017
Model description paper
 | 
13 Apr 2017
Model description paper |  | 13 Apr 2017

The COSMO-CLM 4.8 regional climate model coupled to regional ocean, land surface and global earth system models using OASIS3-MCT: description and performance

Andreas Will, Naveed Akhtar, Jennifer Brauch, Marcus Breil, Edouard Davin, Ha T. M. Ho-Hagemann, Eric Maisonnave, Markus Thürkow, and Stefan Weiher

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Cited articles

Akhtar, N., Brauch, J., Dobler, A., Béranger, K., and Ahrens, B.: Medicanes in an ocean–atmosphere coupled regional climate model, Nat. Hazards Earth Syst. Sci., 14, 2189–2201, https://doi.org/10.5194/nhess-14-2189-2014, 2014.
Alexeev, Y., Mickelson, S., Leyffer, S., Jacob, R., and Craig, A.: The Heuristic Static Load-Balancing Algorithm Applied to the Community Earth System Model, in: 28th IEEE International Parallel and Distributed Processing Symposium, no. 28 in Parallel & Distributed Processing Symposium Workshops, IEEE, 1581–1590, https://doi.org/10.1109/IPDPSW.2014.177, 2014.
Balaji, V., Maisonnave, E., Zadeh, N., Lawrence, B. N., Biercamp, J., Fladrich, U., Aloisio, G., Benson, R., Caubel, A., Durachta, J., Foujols, M.-A., Lister, G., Mocavero, S., Underwood, S., and Wright, G.: CPMIP: measurements of real computational performance of Earth system models in CMIP6, Geosci. Model Dev., 10, 19–34, https://doi.org/10.5194/gmd-10-19-2017, 2017.
Balaprakash, P., Alexeev, Y., Mickelson, S. A., Leyffer, S., Jacob, R., and Craig, A.: Machine-learning-based load balancing for Community Ice CodE component in CESM, in: International Conference on High Performance Computing for Computational Science, Springer, 79–91, 2014.
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.
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Short summary
We present a coupled regional climate system model. The COSMO CLM regional climate model is two-way coupled via OASIS3-MCT to the land surface, regional ocean for the Mediterranean Sea, North and Baltic seas and an earth system model. The direct coupling costs of communication and horizontal interpolation are shown to be negligible even for a frequent exchange of 450 2-D fields. A procedure of finding an optimum processor configuration is presented and successfully applied to all couplings.
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