DOI: 10.1007/s00382-015-2923-4
Scopus记录号: 2-s2.0-84948690822
论文题名: Evaluating regional climate models for simulating sub-daily rainfall extremes
作者: Cortés-Hernández V.E. ; Zheng F. ; Evans J. ; Lambert M. ; Sharma A. ; Westra S.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 47, 期: 2017-05-06 起始页码: 1613
结束页码: 1628
语种: 英语
英文关键词: Climate model evaluation
; Greater Sydney region
; Regional climate models
; Sub-daily extreme rainfall
; Weather Research Forecasting (WRF) model
英文摘要: Sub-daily rainfall extremes are of significant societal interest, with implications for flash flooding and the design of urban stormwater systems. It is increasingly recognised that extreme subdaily rainfall will intensify as a result of global temperature increases, with regional climate models (RCMs) representing one of the principal lines of evidence on the likely magnitude and spatiotemporal characteristics of these changes. To evaluate the ability of RCMs to simulate subdaily extremes, it is common to compare the simulated statistical characteristics of the extreme rainfall events with those from observational records. While such analyses are important, they provide insufficient insight into whether the RCM reproduces the correct underlying physical processes; in other words, whether the model “gets the right answers for the right reasons”. This paper develops a range of metrics to assess the performance of RCMs in capturing the physical mechanisms that produce extreme rainfall. These metrics include the diurnal and seasonal cycles, relationship between rainfall intensity and temperature, temporal scaling, and the spatial structure of extreme rainfall events. We evaluate a high resolution RCM—the Weather Research Forecasting model—over the Greater Sydney region, using three alternative parametrization schemes. The model shows consistency with the observations for most of the proposed metrics. Where differences exist, these are dependent on both the rainfall duration and model parameterization strategy. The use of physically meaningful performance metrics not only enhances the confidence in model simulations, but also provides better diagnostic power to assist with future model improvement. © 2015, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53560
Appears in Collections: 过去全球变化的重建
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作者单位: School of Civil, Environmental and Mining Engineering, University of Adelaide, Adelaide, SA, Australia; College of Civil Engineering and Architecture, Zhejiang University, Anzhong Building, Zijingang Campus, 866 Yuhangtang Rd, Hangzhou, Zhejiang, China; Climate Change Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia; School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, Australia
Recommended Citation:
Cortés-Hernández V.E.,Zheng F.,Evans J.,et al. Evaluating regional climate models for simulating sub-daily rainfall extremes[J]. Climate Dynamics,2016-01-01,47(2017-05-06)