Modeling of daily rainfall sequence and extremes based on a semiparametric Pareto tail approach at multiple locations

Journal of Hydrology

Volumn 529, Issue , 2015, Pages 1442-1450

  So, Byung Jin ^a   Kwon, Hyun Han ^a   Kim, Dongkyun ^b   Lee, Seung Oh ^b  

^a Chonbuk National University   (South Korea)

^b Hong Ik University   (South Korea)

Author keywords

Daily rainfall; Extreme rainfall; Markov chain; Multi site; Piecewise Kernel Pareto distribution

Indexed keywords

CHAINS; HIGHER ORDER STATISTICS; MARKOV PROCESSES; PARETO PRINCIPLE; STATISTICAL METHODS; STOCHASTIC SYSTEMS; WATER RESOURCES;

DAILY RAINFALL; EXTREME RAINFALL; KERNEL DENSITY ESTIMATION METHODS; MULTI-SITE; PARETO DISTRIBUTIONS; SEMI-PARAMETRIC MODELING; SPATIAL CORRELATIONS; STOCHASTIC GENERATION;

RAIN;

ALGORITHM; CORRELATION; EXTREME EVENT; MARKOV CHAIN; PARAMETERIZATION; PRECIPITATION INTENSITY; SKEWNESS; STOCHASTICITY; UNCERTAINTY ANALYSIS; WATER RESOURCE;

EID: 84945495710     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2015.08.037     Document Type: Article

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