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Journal article

Remote and local influences in forecasting Pacific SST: a linear inverse model and a multimodel ensemble study

Abstract:

A suite of statistical linear inverse models (LIMs) are used to understand the remote and local SST variability that influences SST predictions over the North Pacific region. Observed monthly SST anomalies in the Pacific are used to construct different regional LIMs for seasonal to decadal predictions. The seasonal forecast skills of the LIMs are compared to that from three operational forecast systems in the North American Multi-Model Ensemble (NMME), revealing that the LIM has better skill ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s00382-018-4323-z

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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Oxford college:
St Cross College
Role:
Author
ORCID:
0000-0002-8472-4828
Publisher:
Springer Berlin Heidelberg Publisher's website
Journal:
Climate Dynamics Journal website
Volume:
52
Issue:
5-6
Pages:
3183–3201
Publication date:
2018-06-26
Acceptance date:
2018-06-18
DOI:
EISSN:
1432-0894
ISSN:
0930-7575
Source identifiers:
867537
Keywords:
Pubs id:
pubs:867537
UUID:
uuid:47a4c653-1865-48e1-967c-32d170d0f750
Local pid:
pubs:867537
Deposit date:
2018-07-14

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