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Journal article

Constraints on model response to greenhouse gas forcing and the role of subgrid-scale processes

Abstract:

A climate model emulator is developed using neural network techniques and trained with the data from the multithousand-member climateprediction.net perturbed physics GCM ensemble. The method recreates nonlinear interactions between model parameters, allowing a simulation of a much larger ensemble that explores model parameter space more fully. The emulated ensemble is used to search for models closest to observations over a wide range of equilibrium response to greenhouse gas forcing. The rel...

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Publication status:
Published

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Publisher copy:
10.1175/2008JCLI1869.1

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Journal:
JOURNAL OF CLIMATE
Volume:
21
Issue:
11
Pages:
2384-2400
Publication date:
2008-06-01
DOI:
EISSN:
1520-0442
ISSN:
0894-8755
Source identifiers:
15227
Language:
English
Pubs id:
pubs:15227
UUID:
uuid:82ebfbdc-5502-42b3-8554-56d084524016
Local pid:
pubs:15227
Deposit date:
2012-12-19

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