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On predicting climate under climate change

Daron, Joseph D. and Stainforth, David A. (2013) On predicting climate under climate change. Environmental Research Letters, 8 (3). ISSN 1748-9326

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Identification Number: 10.1088/1748-9326/8/3/034021

Abstract

Can today's global climate model ensembles characterize the 21st century climate in their own 'model-worlds'? This question is at the heart of how we design and interpret climate model experiments for both science and policy support. Using a low-dimensional nonlinear system that exhibits behaviour similar to that of the atmosphere and ocean, we explore the implications of ensemble size and two methods of constructing climatic distributions, for the quantification of a model's climate. Small ensembles are shown to be misleading in non-stationary conditions analogous to externally forced climate change, and sometimes also in stationary conditions which reflect the case of an unforced climate. These results show that ensembles of several hundred members may be required to characterize a model's climate and inform robust statements about the relative roles of different sources of climate prediction uncertainty

Item Type: Article
Official URL: http://iopscience.iop.org/1748-9326/
Additional Information: © 2013 IOP Publishing
Divisions: Grantham Research Institute
Subjects: G Geography. Anthropology. Recreation > GB Physical geography
G Geography. Anthropology. Recreation > GE Environmental Sciences
Sets: Research centres and groups > Grantham Research Institute on Climate Change and the Environment
Date Deposited: 27 Sep 2013 09:54
Last Modified: 20 Sep 2019 01:44
Funders: Engineering and Physical Sciences Research Council, Economic and Social Research Council, Munich Re.
URI: http://eprints.lse.ac.uk/id/eprint/53158

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