DOI: 10.1007/s00382-013-1989-0
Scopus记录号: 2-s2.0-84906941480
论文题名: Coupled atmosphere-ocean data assimilation experiments with a low-order climate model
作者: Tardif R. ; Hakim G.J. ; Snyder C.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2014
卷: 43, 期: 2017-05-06 起始页码: 1631
结束页码: 1643
语种: 英语
英文关键词: Atlantic meridional overturning circulation
; Data assimilation
; Initialization
; Internal climate variability
; Predictability
英文摘要: A simple idealized atmosphere-ocean climate model and an ensemble Kalman filter are used to explore different coupled ensemble data assimilation strategies. The model is a low-dimensional analogue of the North Atlantic climate system, involving interactions between large-scale atmospheric circulation and ocean states driven by the variability of the Atlantic meridional overturning circulation (MOC). Initialization of the MOC is assessed in a range of experiments, from the simplest configuration consisting of forcing the ocean with a known atmosphere to performing fully coupled ensemble data assimilation. "Daily" assimilation (that is, at the temporal frequency of the atmospheric observations) is contrasted with less frequent assimilation of time-averaged observations. Performance is also evaluated under scenarios in which ocean observations are limited to the upper ocean or are non-existent. Results show that forcing the idealized ocean model with atmospheric analyses is inefficient at recovering the slowly evolving MOC. On the other hand, daily assimilation rapidly leads to accurate MOC analyses, provided a comprehensive set of oceanic observations is available for assimilation. In the absence of sufficient observations in the ocean, the assimilation of time-averaged atmospheric observations proves to be more effective for MOC initialization, including the case where only atmospheric observations are available. © 2013 The Author(s). 资助项目: NSF, National Science Foundation
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54521
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, 98195-1640, 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 climate model[J]. Climate Dynamics,2014-01-01,43(2017-05-06)