Hierarchical Bayesian clustering for nonstationary flood frequency analysis: Application to trends of annual maximum flow in Germany

Water Resources Research

Volumn 51, Issue 8, 2015, Pages 6586-6601

  Sun, Xun ^a   Lall, Upmanu ^a,b   Merz, Bruno ^c,d   Dung, Nguyen Viet ^c  

^a Center for International Forestry Research   (United States)

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

^c GFZ GERMAN RESEARCH CENTRE FOR GEOSCIENCES   (Germany)

^d UNIVERSITY OF POTSDAM   (Germany)

Author keywords

annual maximum; Germany; hierarchical Bayesian clustering; nonstationary; stream flow; trends

Indexed keywords

BAYESIAN NETWORKS; FLOOD CONTROL; FLOODS; GAGES; PRECIPITATION (METEOROLOGY); STREAM FLOW;

ANNUAL MAXIMA; GERMANY; HIERARCHICAL BAYESIAN; NONSTATIONARY; TRENDS;

CLIMATE MODELS;

ANNUAL VARIATION; BAYESIAN ANALYSIS; CLUSTER ANALYSIS; FLOOD FREQUENCY; HIERARCHICAL SYSTEM; SPATIOTEMPORAL ANALYSIS; STREAMFLOW; TIME SERIES;

GERMANY;

EID: 84941978827     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017117     Document Type: Article

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