Affiliation:
1. Department of Meteorology, Centre for Global Atmospheric Modelling, University of ReadingPO Box 243, Earley Gate, Reading RG6 6BB, UK
Abstract
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.
Subject
General Physics and Astronomy,General Engineering,General Mathematics
Cited by
58 articles.
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