Introduction. Stochastic physics and climate modelling

Palmer, T.N. and Williams, P. D. ORCID: https://orcid.org/0000-0002-9713-9820 (2008) Introduction. Stochastic physics and climate modelling. Philosophical Transactions of the Royal Society. Part A, 366 (1875). pp. 2421-2427. ISSN 1364-503X doi: 10.1098/rsta.2008.0059

Abstract/Summary

Finite computing resources limit the spatial resolution of state-of-the-art global climate simulations to hundreds of kilometres. In neither the atmosphere nor the ocean are small-scale processes such as convection, clouds and ocean eddies properly represented. Climate simulations are known to depend, sometimes quite strongly, on the resulting bulk-formula representation of unresolved processes. Stochastic physics schemes within weather and climate models have the potential to represent the dynamical effects of unresolved scales in ways which conventional bulk-formula representations are incapable of so doing. The application of stochastic physics to climate modelling is a rapidly advancing, important and innovative topic. The latest research findings are gathered together in the Theme Issue for which this paper serves as the introduction.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/1357
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Uncontrolled Keywords	climate modelling; stochastic physics; parametrization
Publisher	The Royal Society
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