DOI: 10.1007/s00382-016-3249-6
Scopus记录号: 2-s2.0-84982980730
论文题名: The influence of model resolution on temperature variability
作者: Klavans J.M. ; Poppick A. ; Sun S. ; Moyer E.J.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2017
卷: 48, 期: 2017-09-10 起始页码: 3035
结束页码: 3045
语种: 英语
英文关键词: CCSM3
; Climate variability
; Model resolution
; Spectral analysis
; Variability
英文摘要: Understanding future changes in climate variability, which can impact human activities, is a current research priority. It is often assumed that a key part of this effort involves improving the spatial resolution of climate models; however, few previous studies comprehensively evaluate the effects of model resolution on variability. In this study, we systematically examine the sensitivity of temperature variability to horizontal atmospheric resolution in a single model (CCSM3, the Community Climate System Model 3) at three different resolutions (T85, T42, and T31), using spectral analysis to describe the frequency dependence of differences. We find that in these runs, increased model resolution is associated with reduced temperature variability at all but the highest frequencies (2–5 day periods), though with strong regional differences. (In the tropics, where temperature fluctuations are smallest, increased resolution is associated with increased variability.) At all resolutions, temperature fluctuations in CCSM3 are highly spatially correlated, implying that the changes in variability with model resolution are driven by alterations in large-scale phenomena. Because CCSM3 generally overestimates temperature variability relative to reanalysis output, the reductions in variability associated with increased resolution tend to improve model fidelity. However, the resolution-related variability differences are relatively uniform with frequency, whereas the sign of model bias changes at interannual frequencies. This discrepancy raises questions about the mechanisms underlying the improvement at subannual frequencies. The consistent response across frequencies also implies that the atmosphere plays a significant role in interannual variability. © 2016, Springer-Verlag Berlin Heidelberg. 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/53260
Appears in Collections: 过去全球变化的重建
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作者单位: Center for Robust Decision-making on Climate and Energy Policy, University of Chicago, Chicago, IL, United States; Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL, United States; Department of Statistics, University of Chicago, Chicago, IL, United States; Department of the Geophysical Sciences, University of Chicago, Chicago, IL, United States
Recommended Citation:
Klavans J.M.,Poppick A.,Sun S.,et al. The influence of model resolution on temperature variability[J]. Climate Dynamics,2017-01-01,48(2017-09-10)