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Constraining climate model properties using optimal fingerprint detection methods

Abstract:

We present a method for constraining key properties of the climate system that are important for climate prediction (climate sensitivity and rate of heat penetration into the deep ocean) by comparing a model's response to known forcings over the twentieth century against climate observations for that period. We use the MIT 2D climate model in conjunction with results from the Hadley Centre's coupled atmosphere-ocean general circulation model (AOGCM) to determine these constraints. The MIT 2D ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s003820100175

Authors


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Institution:
Massachusetts Institute of Technology, Cambridge, MA, USA
Department:
Joint Program on the Science and Policy of Global Change
Role:
Author
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Institution:
"Rutherford Appleton Laboratory, Chilton, Didcot, UK", "University of Oxford"
Department:
Mathematical,Physical & Life Sciences Division - Physics
Role:
Author
More by this author
Institution:
Massachusetts Institute of Technology, Cambridge, MA, USA
Department:
Joint Program on the Science and Policy of Global Change
Role:
Author
More by this author
Institution:
Massachusetts Institute of Technology, Cambridge, MA, USA
Department:
Joint Program on the Science and Policy of Global Change
Role:
Author
Publisher:
Springer Publisher's website
Journal:
Climate Dynamics Journal website
Volume:
18
Issue:
3-4
Pages:
277-295
Publication date:
2001-12-01
DOI:
EISSN:
1432-0894
ISSN:
0930-7575
Language:
English
Keywords:
Subjects:
UUID:
uuid:219649ab-9b5b-4f5f-b23e-244b6bc1feee
Local pid:
ora:4463
Deposit date:
2010-11-18

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