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

机译:使用多模型和单个成员集合的极端温度和降水事件归因的方法

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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.
机译:澳大利亚出现的极端温度和降水事件近几十年来造成了重大的社会经济和环境影响,从而确定对这些极端的因素是一个积极的研究领域。现在已经从极端事件归因(EEA)的角度来看了许多最近发生的录制温度和降雨事件。本文介绍了一系列研究,这些研究已经使用各种一般循环模型(GCMS)检查了极端气候事件的原因,提出了在澳大利亚大型空间和时间秤上观察到的基于GCM的极端和降水的基于GCM的归因的综合方法。首先,我们审查了耦合型号互通项目阶段5(CMIP5)模型的模型用于检查观察到的极端的变化。其次,我们审查了单一气候模型(CESM)的大型扰动初始条件如何集合已被用于定量检查澳大利亚热极端的变化特性。对于每种方法,提供了方法的细节和应用程序并突出显示的限制。这种方法论审查的结论讨论了与这种方法相关的局限性和不确定性,并确定了基于GCM的极端归属的关键申请。理想情况下,此信息对于在其他地方的应用程序应用程序的应用将是有用的。

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