Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3527-2016
https://doi.org/10.5194/hess-20-3527-2016
Research article
 | 
05 Sep 2016
Research article |  | 05 Sep 2016

The transformed-stationary approach: a generic and simplified methodology for non-stationary extreme value analysis

Lorenzo Mentaschi, Michalis Vousdoukas, Evangelos Voukouvalas, Ludovica Sartini, Luc Feyen, Giovanni Besio, and Lorenzo Alfieri

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (Editor review) (27 May 2016) by Stacey Archfield
AR by Lorenzo Mentaschi on behalf of the Authors (27 May 2016)
ED: Publish subject to minor revisions (Editor review) (17 Jun 2016) by Stacey Archfield
AR by Lorenzo Mentaschi on behalf of the Authors (27 Jun 2016)  Author's response   Manuscript 
ED: Publish subject to technical corrections (17 Jul 2016) by Stacey Archfield
AR by Lorenzo Mentaschi on behalf of the Authors (26 Jul 2016)  Author's response   Manuscript 
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Short summary
The climate is subject to variations which must be considered studying the intensity and frequency of extreme events. We introduce in this paper a new methodology for the study of variable extremes, which consists in detecting the pattern of variability of a time series, and applying these patterns to the analysis of the extreme events. This technique comes with advantages with respect to the previous ones in terms of accuracy, simplicity, and robustness.