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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 20, issue 9
Hydrol. Earth Syst. Sci., 20, 3527-3547, 2016
https://doi.org/10.5194/hess-20-3527-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 3527-3547, 2016
https://doi.org/10.5194/hess-20-3527-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.
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Cited articles  
Akaike, H.: Information theory and an extension of the maximum likelihood principle, Selected Papers of Hirotugu Akaike, Springer New York, 199–213, https://doi.org/10.1007/978-1-4612-1694-0_15, 1973.
Alfieri, L., Burek, P., Feyen, L., and Forzieri, G.: Global warming increases the frequency of river floods in Europe, Hydrol. Earth Syst. Sci., 19, 2247–2260, https://doi.org/10.5194/hess-19-2247-2015, 2015.
Arguez, A. and Vose, R. S.: The definition of the standard WMO climate normal: The key to deriving alternative climate normals, B. Am. Meteorol. Soc., 92, 699–704, 2011.
Boccotti, P.: Wave mechanics for ocean engineering, Elsevier Oceanography Series, Vol. 64, Elsevier, Amsterdam, 2000.
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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.
The climate is subject to variations which must be considered studying the intensity and...
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