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

Water Resources Research

Volumn 52, Issue 7, 2016, Pages 5662-5675

  Kwon, Hyun Han ^a,b   Lall, Upmanu ^b,c  

^a Chonbuk National University   (South Korea)

^b Center for International Forestry Research   (United States)

^c Department of Earth and Environmental Sciences   (United States)

Author keywords

Bayesian modeling; drought; extreme analysis; joint return period; uncertainty

Indexed keywords

BAYESIAN NETWORKS; DISTRIBUTION FUNCTIONS; UNCERTAINTY ANALYSIS;

BAYESIAN APPROACHES; BAYESIAN MODEL; EXTREME ANALYSIS; FREQUENCY ANALYSIS; JOINT RETURN PERIOD; MODEL PARAMETERS; PROBABILISTIC MODELING; UNCERTAINTY;

DROUGHT;

BAYESIAN ANALYSIS; DROUGHT; EXTREME EVENT; LENGTH-FREQUENCY ANALYSIS; RECONSTRUCTION; RETURN PERIOD; UNCERTAINTY ANALYSIS;

CALIFORNIA; UNITED STATES;

EID: 84979784043     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2016WR018959     Document Type: Article

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