Initialization of unstable coupled systems by breeding ensembles

Shu Chih Yang; Ming Cai; Malaquias Peña; Eugenia Kalnay

Initialization of unstable coupled systems by breeding ensembles

Shu Chih Yang, Ming Cai, Malaquias Peña, Eugenia Kalnay

Research output: Contribution to journal › Conference article › peer-review

Abstract

The initialization of unstable coupled ocean-atmosphere data assimilation systems by breeding ensembles was analyzed. the use of some nonlinear models, including the Zebiak-Cane model and coupled Lorenz model, for isolating the slow coupled instabilities by breeding process. The results show that breeding with long rescaling intervals can be used to capture the slowly evolving ENSO component of a coupled model. The long interval for rescaling the ocean-atmosphere perturbations allows atmospheric noise to saturate.

Original language	English
Pages (from-to)	299-307
Number of pages	9
Journal	Bulletin of the American Meteorological Society
State	Published - 2004
Event	Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: 11 Jan 2004 → 15 Jan 2004

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title = "Initialization of unstable coupled systems by breeding ensembles",

abstract = "The initialization of unstable coupled ocean-atmosphere data assimilation systems by breeding ensembles was analyzed. the use of some nonlinear models, including the Zebiak-Cane model and coupled Lorenz model, for isolating the slow coupled instabilities by breeding process. The results show that breeding with long rescaling intervals can be used to capture the slowly evolving ENSO component of a coupled model. The long interval for rescaling the ocean-atmosphere perturbations allows atmospheric noise to saturate.",

author = "Yang, {Shu Chih} and Ming Cai and Malaquias Pe{\~n}a and Eugenia Kalnay",

year = "2004",

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pages = "299--307",

journal = "Bulletin of the American Meteorological Society",

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TY - JOUR

T1 - Initialization of unstable coupled systems by breeding ensembles

AU - Yang, Shu Chih

AU - Cai, Ming

AU - Peña, Malaquias

AU - Kalnay, Eugenia

PY - 2004

Y1 - 2004

N2 - The initialization of unstable coupled ocean-atmosphere data assimilation systems by breeding ensembles was analyzed. the use of some nonlinear models, including the Zebiak-Cane model and coupled Lorenz model, for isolating the slow coupled instabilities by breeding process. The results show that breeding with long rescaling intervals can be used to capture the slowly evolving ENSO component of a coupled model. The long interval for rescaling the ocean-atmosphere perturbations allows atmospheric noise to saturate.

AB - The initialization of unstable coupled ocean-atmosphere data assimilation systems by breeding ensembles was analyzed. the use of some nonlinear models, including the Zebiak-Cane model and coupled Lorenz model, for isolating the slow coupled instabilities by breeding process. The results show that breeding with long rescaling intervals can be used to capture the slowly evolving ENSO component of a coupled model. The long interval for rescaling the ocean-atmosphere perturbations allows atmospheric noise to saturate.

UR - http://www.scopus.com/inward/record.url?scp=2442615804&partnerID=8YFLogxK

M3 - 會議論文

AN - SCOPUS:2442615804

SN - 0003-0007

SP - 299

EP - 307

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

T2 - Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting

Y2 - 11 January 2004 through 15 January 2004

ER -

Initialization of unstable coupled systems by breeding ensembles

Abstract

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Cite this