DOI: 10.1007/s00382-014-2390-3
Scopus记录号: 2-s2.0-84940718139
论文题名: Coupled atmosphere–ocean data assimilation experiments with a low-order model and CMIP5 model data
作者: Tardif R. ; Hakim G.J. ; Snyder C.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 45, 期: 2017-05-06 起始页码: 1415
结束页码: 1427
语种: 英语
英文关键词: Atlantic meridional overturning circulation
; Cost-effective
; Coupled atmosphere–ocean data assimilation
; Estimation
英文摘要: Coupled atmosphere–ocean data assimilation (DA) experiments are performed for estimating the Atlantic meridional overturning circulation (AMOC). Recovery of the AMOC with an ensemble Kalman filter is assessed for a range of experiments over observation availability (atmosphere, upper and deep ocean) and for assimilating high-frequency observations compared to time averages. For an idealised low-order coupled climate model, the traditional DA approach using an ensemble of model trajectories to estimate covariances is compared to a simplified “no-cycling” approach involving climatological covariances derived from a single long model integration. Robustness of the no-cycling method is also tested on data from a millennial-scale simulation of a comprehensive coupled atmosphere–ocean climate model. Results show that the no-cycling approach provides a good approximation to the traditional approach, and that assimilation of time-averaged observations improves AMOC recovery using drastically smaller ensembles than would be required for the case of instantaneous observations. Even in the limit of no ocean observations, the no-cycling approach is capable of recovering the low-frequency AMOC with time-averaged observations; assimilation of noisy instantaneous atmospheric observations fails to recover decadal-scale AMOC variability. © 2014, The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54042
Appears in Collections: 过去全球变化的重建
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作者单位: Department of Atmospheric Sciences, University of Washington, Box 351640, Seattle, WA, United States; National Center for Atmospheric Research, Boulder, CO, United States
Recommended Citation:
Tardif R.,Hakim G.J.,Snyder C.. Coupled atmosphere–ocean data assimilation experiments with a low-order model and CMIP5 model data[J]. Climate Dynamics,2015-01-01,45(2017-05-06)