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Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation

Abstract:

Understanding the unfolding challenges of climate change relies on climate models, many of which have large summer warm and dry biases over Northern Hemisphere continental midlatitudes. This work, with the example of the model used in the updated version of the weather@home distributed climate model framework, shows the potential for improving climate model simulations through a multiphased parameter refinement approach, particularly over the northwestern United States (NWUS). Each phase cons...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.5194/gmd-12-3017-2019

Authors


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Institution:
University of Oxford
Division:
Social Sciences Division
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Author
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Graduate School of Oregon State University More from this funder
Publisher:
European Geosciences Union Publisher's website
Journal:
Geoscientific Model Development Journal website
Volume:
12
Issue:
7
Pages:
3017-3043
Publication date:
2019-07-17
Acceptance date:
2019-05-07
DOI:
EISSN:
1991-9603
ISSN:
1991-959X
Source identifiers:
1035046
Pubs id:
pubs:1035046
UUID:
uuid:66c1049a-fbe9-4367-a347-41a98d505cbb
Local pid:
pubs:1035046
Deposit date:
2019-08-08

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