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

• Published in: Hydrology and earth system sciences Vol. 20; no. 9; pp. 3527 - 3547
• Main Authors: Mentaschi, Lorenzo, Vousdoukas, Michalis, Voukouvalas, Evangelos, Sartini, Ludovica, Feyen, Luc, Besio, Giovanni, Alfieri, Lorenzo
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 05.09.2016; European Geosciences Union; Copernicus Publications
• Subjects: Analysis; Climate change; Confidence intervals; Detection; Distribution; Extreme value distribution; Extreme value theory; Extreme values; Filters; Genetic transformation; Low pass filters; Methodology; Methods; Normal distribution; River discharge; River flow; Rivers; Sciences of the Universe; Seasonal variability; Seasonal variation; Seasonal variations; Significant wave height; Significant waves; Source code; Statistical analysis; Statistical methods; Theory; Time series; Trends; Value analysis; Water discharge; Water levels; Wave height

Statistical approaches to study extreme events require, by definition, long time series of data. In many scientific disciplines, these series are often subject to variations at different temporal scales that affect the frequency and intensity of their extremes. Therefore, the assumption of stationar...