DOI: 10.1175/JCLI-D-15-0746.1
Scopus记录号: 2-s2.0-85001038120
论文题名: Improved climate simulations through a stochastic parameterization of ocean eddies
作者: Williams P.D. ; Howe N.J. ; Gregory J.M. ; Smith R.S. ; Joshi M.M.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2016
卷: 29, 期: 24 起始页码: 8763
结束页码: 8781
语种: 英语
Scopus关键词: Climate change
; Climate models
; Oceanography
; Parameterization
; Stochastic systems
; Coupled atmosphere ocean general circulation model
; Coupled models
; General circulation model
; High-resolution models
; Model errors
; Model evaluation/performance
; Stochastic experiment
; Sub-grid variability
; Stochastic models
英文摘要: In climate simulations, the impacts of the subgrid scales on the resolved scales are conventionally represented using deterministic closure schemes, which assume that the impacts are uniquely determined by the resolved scales. Stochastic parameterization relaxes this assumption, by sampling the subgrid variability in a computationally inexpensive manner. This study shows that the simulated climatological state of the ocean is improved in many respects by implementing a simple stochastic parameterization of ocean eddies into a coupled atmosphere-ocean general circulation model. Simulations from a high-resolution, eddy-permitting ocean model are used to calculate the eddy statistics needed to inject realistic stochastic noise into a low-resolution, non-eddy-permitting version of the same model. A suite of four stochastic experiments is then run to test the sensitivity of the simulated climate to the noise definition by varying the noise amplitude and decorrelation time within reasonable limits. The addition of zero-mean noise to the ocean temperature tendency is found to have a nonzero effect on the mean climate. Specifically, in terms of the ocean temperature and salinity fields both at the surface and at depth, the noise reduces many of the biases in the low-resolution model and causes it to more closely resemble the high-resolution model. The variability of the strength of the global ocean thermohaline circulation is also improved. It is concluded that stochastic ocean perturbations can yield reductions in climate model error that are comparable to those obtained by refining the resolution, but without the increased computational cost. Therefore, stochastic parameterizations of ocean eddies have the potential to significantly improve climate simulations. © 2016 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50172
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Meteorology, University of Reading, Reading, United Kingdom; Risk Management Solutions, London, United Kingdom; National Centre for Atmospheric Science, University of Reading, Reading, United Kingdom; Met Office Hadley Centre, Exeter, United Kingdom; Centre for Ocean and Atmospheric Sciences, University of East Anglia, Norwich, United Kingdom
Recommended Citation:
Williams P.D.,Howe N.J.,Gregory J.M.,et al. Improved climate simulations through a stochastic parameterization of ocean eddies[J]. Journal of Climate,2016-01-01,29(24)