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

Data sets

TS EVA: a generic and simplified methodology for non-stationary extreme value analysis. Code and Examples, 2016 L. Mentaschi, M. Vousdoukas, and E. Voukouvalas https://github.com/menta78/tsEva/

Download
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.