A copula‐based nonstationary frequency analysis for the 2012–2015 drought in California

Using a multicentury reconstruction of drought, we investigate how rare the 2012–2015 California drought is. A Bayesian approach to a nonstationary, bivariate probabilistic model, including the estimation of copula parameters is used to assess the time‐varying return period of the current drought. B...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Water resources research 2016-07, Vol.52 (7), p.5662-5675
Hauptverfasser:	Kwon, Hyun‐Han, Lall, Upmanu
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Bayesian modeling Bivariate analysis Drought Duration extreme analysis Fines & penalties Frequency analysis joint return period Parameter estimation Parameters Probabilistic models Probability theory uncertainty
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!