Articles | Volume 13, issue 2
https://doi.org/10.5194/gmd-13-763-2020
https://doi.org/10.5194/gmd-13-763-2020
Development and technical paper
 | 
25 Feb 2020
Development and technical paper |  | 25 Feb 2020

Simulation of extreme heat waves with empirical importance sampling

Pascal Yiou and Aglaé Jézéquel

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Pascal Yiou on behalf of the Authors (26 Nov 2019)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (13 Dec 2019) by Leena Järvi
AR by Pascal Yiou on behalf of the Authors (16 Dec 2019)  Author's response   Manuscript 
ED: Publish as is (21 Jan 2020) by Leena Järvi
AR by Pascal Yiou on behalf of the Authors (21 Jan 2020)
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Short summary
This paper presents an adaptation of a method of "importance sampling" to simulate large ensembles of extreme heat waves (i.e., the most extreme heat waves that could be), given a fixed returned period. We illustrate how this algorithm works for European heat waves and investigate the atmospheric features of such ensembles of events. We argue that such an algorithm can be used to simulate other types of events, including cold spells or prolonged episodes of precipitation.