Quantifying uncertainty in aggregated climate change risk assessments
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Published version
Author(s)
Harrington, Luke
Schleussner, Carl Friedrich
Otto, Friederike
Type
Journal Article
Abstract
High-level assessments of climate change impacts aggregate multiple perils into a common framework. This requires incorporating multiple dimensions of uncertainty. Here we propose a methodology to transparently assess these uncertainties within the ‘Reasons for Concern’ framework, using extreme heat as a case study. We quantitatively discriminate multiple dimensions of uncertainty, including future vulnerability and exposure to changing climate hazards. High risks from extreme heat materialise after 1.5–2 °C and very high risks between 2–3.5 °C of warming. Risks emerge earlier if global assessments were based on national risk thresholds, underscoring the need for stringent mitigation to limit future extreme heat risks.
Date Issued
2021-12-08
Date Acceptance
2021-11-17
Citation
Nature Communications, 2021, 12 (7140), pp.1-10
ISSN
2041-1723
Publisher
Nature Research
Start Page
1
End Page
10
Journal / Book Title
Nature Communications
Volume
12
Issue
7140
Copyright Statement
© The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
https://www.nature.com/articles/s41467-021-27491-2
Publication Status
Published
Date Publish Online
2021-12-08