Climate change
; Degrees of freedom (mechanics)
; HTTP
; Pareto principle
; Time series
; Time series analysis
; Value engineering
; Water levels
; Environmental variables
; Extreme value analysis
; Extreme value distributions
; Generalized extreme value
; Generalized Pareto distribution
; Non-stationary time series
; Significant wave height
; Statistical techniques
; Low pass filters
; climate change
; extreme event
; methodology
; river discharge
; seasonal variation
; software
; temporal variation
; time series
; time series analysis
; water level
; wave height
European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Climate Risk Management Unit, via Enrico Fermi 2749, Ispra, Italy; Università di Genova, Dipartimento di Ingegneria Chimica, Civile Ed Ambientale, via Montallegro 1, Genova, Italy; Ifremer, Unité de Recherche Recherches et Développements Technologiques, Laboratoire Comportement des Structures en Mer (CSM), Pointe du Diable, Plouzané, France; Department of Marine Sciences, University of the Aegean, University Hill, Mytilene, Lesbos, Greece
Recommended Citation:
Mentaschi L,, Vousdoukas M,, Voukouvalas E,et al. The transformed-stationary approach: A generic and simplified methodology for non-stationary extreme value analysis[J]. Hydrology and Earth System Sciences,2016-01-01,20(9)