DOI: 10.1007/s00382-014-2238-x
Scopus记录号: 2-s2.0-84939895712
论文题名: Simulating weather regimes: impact of model resolution and stochastic parameterization
作者: Dawson A. ; Palmer T.N.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 44, 期: 2017-07-08 起始页码: 2177
结束页码: 2193
语种: 英语
英文关键词: Circulation regimes
; Cluster analysis
; European weather regimes
; GCM
; Horizontal resolution
; Stochastic physics
英文摘要: The simulation of quasi-persistent regime structures in an atmospheric model with horizontal resolution typical of the Intergovernmental Panel on Climate Change fifth assessment report simulations, is shown to be unrealistic. A higher resolution configuration of the same model, with horizontal resolution typical of that used in operational numerical weather prediction, is able to simulate these regime structures realistically. The spatial patterns of the simulated regimes are remarkably accurate at high resolution. A model configuration at intermediate resolution shows a marked improvement over the low-resolution configuration, particularly in terms of the temporal characteristics of the regimes, but does not produce a simulation as accurate as the very-high-resolution configuration. It is demonstrated that the simulation of regimes can be significantly improved, even at low resolution, by the introduction of a stochastic physics scheme. At low resolution the stochastic physics scheme drastically improves both the spatial and temporal aspects of the regimes simulation. These results highlight the importance of small-scale processes on large-scale climate variability, and indicate that although simulating variability at small scales is a necessity, it may not be necessary to represent the small-scales accurately, or even explicitly, in order to improve the simulation of large-scale climate. It is argued that these results could have important implications for improving both global climate simulations, and the ability of high-resolution limited-area models, forced by low-resolution global models, to reliably simulate regional climate change signals. © 2014, Springer-Verlag Berlin Heidelberg.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54165
Appears in Collections: 过去全球变化的重建
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作者单位: Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, United Kingdom
Recommended Citation:
Dawson A.,Palmer T.N.. Simulating weather regimes: impact of model resolution and stochastic parameterization[J]. Climate Dynamics,2015-01-01,44(2017-07-08)