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Association of parameter, software, and hardware variation with large-scale behavior across 57,000 climate models

Abstract:

In complex spatial models, as used to predict the climate response to greenhouse gas emissions, parameter variation within plausible bounds has major effects on model behavior of interest. Here, we present an unprecedentedly large ensemble of > 57,000 climate model runs in which 10 parameters, initial conditions, hardware and software used to run the model all have been varied. We relate information about the model runs to large-scale model behavior (equilibrium sensitivity of global mean ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1073/pnas.0608144104

Authors


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Institution:
University of Manchester
Department:
Manchester Interdisciplinary Biocentre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
Department for Environment, Food and Rural Affairs More from this funder
Department of Trade and Industry More from this funder
Natural Environment Research Council More from this funder
Publisher:
National Academy of Science of the USA Publisher's website
Journal:
Proceedings of the National Academy of Science (PNAS) Journal website
Volume:
104
Issue:
30
Pages:
12259-12264
Publication date:
2007-07-01
DOI:
ISSN:
0027-8424
Language:
English
Keywords:
Subjects:
UUID:
uuid:7b3629ee-c2e2-43b0-8637-7956271938da
Local pid:
ora:4500
Deposit date:
2010-11-24

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