Accessibility navigation

Modelling climate change: the role of unresolved processes

Williams, P. D. (2005) Modelling climate change: the role of unresolved processes. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 363 (1837). pp. 2931-2946. ISSN 1364-503X

Full text not archived in this repository.

To link to this article DOI: 10.1098/rsta.2005.1676


Our understanding of the climate system has been revolutionized recently, by the development of sophisticated computer models. The predictions of such models are used to formulate international protocols, intended to mitigate the severity of global warming and its impacts. Yet, these models are not perfect representations of reality, because they remove from explicit consideration many physical processes which are known to be key aspects of the climate system, but which are too small or fast to be modelled. The purpose of this paper is to give a personal perspective of the current state of knowledge regarding the problem of unresolved scales in climate models. A recent novel solution to the problem is discussed, in which it is proposed, somewhat counter-intuitively, that the performance of models may be improved by adding random noise to represent the unresolved processes.

Item Type:Article
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:1918
Uncontrolled Keywords:climate change; global warming; meteorology; oceanography; stochastic modelling
Publisher:Royal Society Publishing

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation