Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3527-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3527-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The transformed-stationary approach: a generic and simplified methodology for non-stationary extreme value analysis
Lorenzo Mentaschi
CORRESPONDING AUTHOR
European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Climate Risk Management Unit, via Enrico Fermi 2749, 21027 Ispra, Italy
Università di Genova, Dipartimento di Ingegneria Chimica, Civile ed Ambientale, via Montallegro 1, 16145 Genova, Italy
Michalis Vousdoukas
European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Climate Risk Management Unit, via Enrico Fermi 2749, 21027 Ispra, Italy
Department of Marine Sciences, University of the Aegean, University Hill, 81100 Mytilene, Lesbos, Greece
Evangelos Voukouvalas
European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Climate Risk Management Unit, via Enrico Fermi 2749, 21027 Ispra, Italy
Ludovica Sartini
Università di Genova, Dipartimento di Ingegneria Chimica, Civile ed Ambientale, via Montallegro 1, 16145 Genova, Italy
Ifremer, Unité de recherche Recherches et Développements Technologiques, Laboratoire Comportement des Structures en Mer (CSM), Pointe du Diable, 29280 Plouzané, France
Luc Feyen
European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Climate Risk Management Unit, via Enrico Fermi 2749, 21027 Ispra, Italy
Giovanni Besio
Università di Genova, Dipartimento di Ingegneria Chimica, Civile ed Ambientale, via Montallegro 1, 16145 Genova, Italy
Lorenzo Alfieri
European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Climate Risk Management Unit, via Enrico Fermi 2749, 21027 Ispra, Italy
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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.
The climate is subject to variations which must be considered
studying the intensity and...