Approaches to attribution of extreme temperature and precipitation events using multi-model and single-member ensembles of general circulation models

S. Lewis, S. Perkins‐Kirkpatrick, A. King
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引用次数: 8

Abstract

Abstract. Extreme temperature and precipitation events occurring in Australia in recent decades have caused significant socio-economic and environmental impacts, and thus determining the factors contributing to these extremes is an active area of research. Many recently occurring record-breaking temperature and rainfall events have now been examined from an extreme event attribution (EEA) perspective. This paper describes a set of studies that have examined the causes of extreme climate events using various general circulation models (GCMs), presenting a comprehensive methodology for GCM-based attribution of extremes of temperature and precipitation observed on large spatial and temporal scales in Australia. First, we review how Coupled Model Intercomparison Project Phase 5 (CMIP5) models have been used to examine the changing odds of observed extremes. Second, we review how a large perturbed initial condition ensemble of a single climate model (CESM) has been used to quantitatively examine the changing characteristics of Australian heat extremes. For each approach, methodological details and applications are provided and limitations highlighted. The conclusions of this methodological review discuss the limitations and uncertainties associated with this approach and identify key unexplored applications of GCM-based attribution of extremes. Ideally, this information will be useful for the application of the described extreme event attribution approaches elsewhere.
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使用多模式和单成员环流模式集合对极端温度和降水事件进行归因的方法
摘要近几十年来,澳大利亚发生的极端温度和降水事件造成了重大的社会经济和环境影响,因此确定导致这些极端事件的因素是一个活跃的研究领域。最近发生的许多破纪录的温度和降雨事件现在都是从极端事件归因(EEA)的角度来研究的。本文描述了一系列利用各种大气环流模式(GCMs)研究极端气候事件原因的研究,提出了一种基于大气环流模式的综合方法,用于分析澳大利亚大时空尺度上观测到的极端温度和降水。首先,我们回顾了耦合模式比对项目第5阶段(CMIP5)模式如何被用于检验观测到的极端事件的变化几率。其次,我们回顾了如何使用单一气候模式(CESM)的大扰动初始条件集合来定量研究澳大利亚极端高温的变化特征。对于每种方法,都提供了方法细节和应用,并强调了局限性。本方法学综述的结论讨论了与该方法相关的局限性和不确定性,并确定了基于gcm的极端归因的关键未开发应用。理想情况下,这些信息将有助于在其他地方应用所描述的极端事件归因方法。
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来源期刊
Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography Earth and Planetary Sciences-Atmospheric Science
CiteScore
4.80
自引率
0.00%
发文量
9
审稿时长
26 weeks
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