Progress in fast, accurate multi-scale climate simulations

Collins, W. D. ORCID: https://orcid.org/0000-0002-4463-9848, Johansen, H., Evans, K. J., Woodward, C. S. and Caldwell, P. M. (2015) Progress in fast, accurate multi-scale climate simulations. Procedia Computer Science, 51 (1). pp. 2006-2015. ISSN 1877-0509

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Abstract

We present a survey of physical and computational techniques that have the potential to contribute to the next generation of high-fidelity, multi-scale climate simulations. Examples of the climate science problems that can be investigated with more depth with these computational improvements include the capture of remote forcings of localized hydrological extreme events, an accurate representation of cloud features over a range of spatial and temporal scales, and parallel, large ensembles of simulations to more effectively explore model sensitivities and uncertainties. Numerical techniques, such as adaptive mesh refinement, implicit time integration, and separate treatment of fast physical time scales are enabling improved accuracy and fidelity in simulation of dynamics and allowing more complete representations of climate features at the global scale. At the same time, partnerships with computer science teams have focused on taking advantage of evolving computer architectures such as many-core processors and GPUs. As a result, approaches which were previously considered prohibitively costly have become both more efficient and scalable. In combination, progress in these three critical areas is poised to transform climate modeling in the coming decades. These topics have been presented within a workshop titled, "Numerical and Computational Developments to Advance Multiscale Earth System Models (MSESM'15)," as part of the International Conference on Computational Sciences, Reykjavik, Iceland, June 1-3, 2015.

Item Type:	Article
Additional Information:	Publisher Copyright: © The Authors. Published by Elsevier B.V.
Uncontrolled Keywords:	earth system models,many-core,multi-scale climate,time integration,general computer science,sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/1700/1700
Faculty \ School:	Faculty of Science > School of Environmental Sciences
Related URLs:	https://www.scopus.com/pages/publication...
Depositing User:	LivePure Connector
Date Deposited:	06 Jul 2026 14:25
Last Modified:	12 Jul 2026 23:03
URI:	https://ueaeprints.uea.ac.uk/id/eprint/103650
DOI:	10.1016/j.procs.2015.05.465

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