Processes and principles for producing credible climate change attribution messages: lessons from Australia and New Zealand

M. Grose, P. Hope, J. Risbey, Camille Mora, S. Perkins‐Kirkpatrick, A. King, L. Harrington, S. Rosier, R. Matear, Mitchell Black, Dáithí Stone, David J. Frame, R. McKay, Hamish Ramsay, Linjing Zhou, G. Tolhurst
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Abstract

Extreme event attribution (EEA) information is increasingly in demand from climate services. EEA messages can: raise awareness about the effect climate change has already imposed, inform climate change liability conversations, and be combined with climate projections to inform adaptation. However, due to limitations in observations, models and methods, there are barriers towards operationalising EEA in practice. Operational services will need EEA to be done transparently and using preset formats. Here we review recent experience and practice in EEA in Australia and New Zealand with a view to inform the design of an EEA component of climate services. We present a flow chart of the processes involved, noting particular care is needed on the trigger, event definition, and climate model evaluation, with effective stage gates. We also promote the use of tailored causal network diagrams as a standard tool to inform an EEA study and communicate results, with particular care needed for messages on events with lower confidence or complex sets of influences, including tropical cyclones and extratropical cyclones. We suggest that extending EEA to impact attribution is essential for making EEA messages salient but requires an uplift in forming interdisciplinary teams and in granular exposure and vulnerability datasets and is likely to raise new interdisciplinary methodological questions. Finally, we suggest communication of EEA messages can learn more from its origins in medical epidemiology.
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制作可信的气候变化归因信息的程序和原则:澳大利亚和新西兰的经验教训
气候服务机构对极端事件归因(EEA)信息的需求与日俱增。极端事件归因信息可以:提高人们对气候变化已经造成的影响的认识,为气候变化责任对话提供信息,并与气候预测相结合,为适应气候变化提供信息。然而,由于观测、模型和方法的局限性,EEA 的实际操作存在障碍。业务服务将需要以透明的方式并使用预设的格式完成 EEA。在此,我们回顾了澳大利亚和新西兰最近在环境影响评估方面的经验和做法,以期为气候服务中环境影响评估部分的设计提供参考。我们提供了一个流程图,指出在触发、事件定义和气候模型评估方面需要特别注意有效的阶段关口。我们还提倡使用量身定制的因果网络图作为标准工具,为环境影响评估研究提供信息并交流结果,对于置信度较低或影响因素复杂的事件,包括热带气旋和外热带气旋,需要特别注意信息的传递。我们建议将 EEA 扩展到影响归因方面,这对突出 EEA 信息至关重要,但需要组建跨学科团队、建立精细的暴露和脆弱性数据集,并有可能提出新的跨学科方法问题。最后,我们建议 EEA 信息的传播可以更多地借鉴医学流行病学的起源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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