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Simulating weather regimes: impact of stochastic and perturbed parameter schemes in a simple atmospheric model

Abstract:

Representing model uncertainty is important for both numerical weather and climate prediction. Stochastic parametrisation schemes are commonly used for this purpose in weather prediction, while perturbed parameter approaches are widely used in the climate community. The performance of these two representations of model uncertainty is considered in the context of the idealised Lorenz '96 system, in terms of their ability to capture the observed regime behaviour of the system. These results are...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s00382-014-2239-9

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Physics, Atmos Ocean and Planet Physics
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Physics, Atmos Ocean and Planet Physics
Role:
Author
Publisher:
Springer Berlin Heidelberg Publisher's website
Journal:
Climate Dynamics Journal website
Volume:
44
Issue:
7-8
Pages:
2195-2214
Publication date:
2015-04-05
DOI:
EISSN:
1432-0894
ISSN:
0930-7575
URN:
uuid:94958fca-b614-4ec7-81d4-496f954fcfbf
Source identifiers:
478237
Local pid:
pubs:478237

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