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Comparison of stochastic parametrization approaches in a single-column model

Ball, M. A. and Plant, R. S. ORCID: (2008) Comparison of stochastic parametrization approaches in a single-column model. Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 366 (1875). pp. 2605-2623. ISSN 1364-503X

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To link to this item DOI: 10.1098/rsta.2008.0050


We discuss and test the potential usefulness of single-column models (SCMs) for the testing of stchastic physics schemes that have been proposed for use in general circulation models (GCMs). We argue that although single column tests cannot be definitive in exposing the full behaviour of a stochastic method in the full GCM, and although there are differences between SCM testing of deterministic and stochastic methods, nonetheless SCM testing remains a useful tool. It is necessary to consider an ensemble of SCM runs produced by the stochastic method. These can be usefully compared to deterministic ensembles describing initial condition uncertainty and also to combinations of these (with structural model changes) into poor man's ensembles. The proposed methodology is demonstrated using an SCM experiment recently developed by the GCSS community, simulating the transitions between active and suppressed periods of tropical convection.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:1169
Additional Information:Also to appear as a slightly-different version in a Cambridge University Press book, based on the special journal issue.
Publisher:Royal Society

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