Articles | Volume 21, issue 8
https://doi.org/10.5194/nhess-21-2277-2021
https://doi.org/10.5194/nhess-21-2277-2021
Research article
 | 
02 Aug 2021
Research article |  | 02 Aug 2021

Space-time clustering of climate extremes amplify global climate impacts, leading to fat-tailed risk

Luc Bonnafous and Upmanu Lall

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (02 Nov 2020) by Kai Schröter
AR by Luc Bonnafous on behalf of the Authors (15 Mar 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (01 Apr 2021) by Kai Schröter
AR by Luc Bonnafous on behalf of the Authors (12 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (20 Apr 2021) by Kai Schröter
AR by Luc Bonnafous on behalf of the Authors (28 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (03 May 2021) by Kai Schröter
AR by Luc Bonnafous on behalf of the Authors (11 May 2021)  Manuscript 
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Short summary
Extreme climate events can cause human and economic catastrophe at the global scale. For specific sectors, such as humanitarian aid or insurance, being able to understand how (i.e., with which frequency and intensity) these events can occur simultaneously at different locations or several times in a given amount of time and hit critical assets is all-important to design contingency plans. Here we develop an indicator to study co-occurence in space and time of wet and dry extremes.
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