IDF Curves Using the Frank Archimedean Copula

By Vijay P. Singh, Lan Zhang. 2007

109 citations recorded by the source corpus.

Subfields: Finance, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/0f48de2f49f353905d5e73d2c1fdea62a020f3ed

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Citations in the corpus

Application of copulas for regional bivariate frequency analysis of meteorological droughts in Turkey (2016, methodology): “…Archimedean copulas are applied to develop bivariate probability distributions as they are more convenient and easy to construct and have been comprehensively used in hydrologic applications (Zhang and Singh 2007a, b; Singh and Zhang 2007; Zhang et al. 2012a, b; Zhao et al. 2012; Yu et al. 2014).”
IDF relationships using bivariate copula for storm events in Peninsular Malaysia (2012, methodology): “The correlation between storm intensity, I, and storm duration, D, is known to be negative (Kao and Govindaraju, 2007; Singh and Zhang, 2007; Zhang and Singh, 2007).”
A copula-based joint deficit index for droughts. (2010, background): “…runoff (Kao and Govindaraju, 2007b), multivariate L-moment homogeneity test (Chebana and Ouarda, 2007), remote sensing data (Gebremichael and Krajewski, 2007), tail dependence (Poulin et al., 2007), rainfall IDF curves (Singh and Zhang, 2007), and sea storm analysis (De Michele et al., 2007).”
Frequency analysis of droughts using the Plackett copula and parameter estimation by genetic algorithm (2010, background): “... distributions, copulas can separate the effects of dependence from the effects of marginal distributions, and construction of multivariate distributions only needs to consider the relationship among the corresponding correlated random variables (De Michele and Salvadori 2003; Favre et al. 2004; ”
Fitting bivariate copulas to the dependence structure between storm characteristics: A detailed analysis based on 105 year 10 min rainfall (2010, result): “Such negative association is also found by De Michele and Salvadori [2003], Salvadori and De Michele [2006], Zhang and Singh [2007a, 2007b], and Singh and Zhang [2007] .”
Bivariate drought frequency analysis using the copula method (2012, background): “…Kao and Govindaraju 2007), for rainfall frequency analysis (De Michele and Salvadori 2003; Grimaldi and Serinaldi 2006b; Zhang and Singh 2007; Singh and Zhang 2007), for estimating groundwater parameters (Bardossy 2006), geostatistical interpolation (Bardossy and Li 2008), and for remote…”
Drought characterization using a new copula-based trivariate approach (2014, background): “…Michele and Salvadori 2003; Grimaldi and Serinaldi 2006b; Kao and Govindaraju 2007a; Zhang and Singh 2007; Kuhn et al. 2007), rainfall IDF curves (Singh and Zhang 2007), flood frequency analysis (Favre et al. 2004; De Michele et al. 2005; Shiau et al. 2006; Zhang and Singh 2006; Renard and Lang…”
Measure of Correlation between River Flows Using the Copula-Entropy Method (2013, background): “2013), rainfall and flood events analysis (Singh and Zhang 2007; Xiao et al. 2009; Wang et al. 2010; Chen et al. 2012), sea storm analysis (De Michele et al.”
Identification of suitable copulas for bivariate frequency analysis of flood peak and flood volume data (2011, methodology): “Singh & Zhang (2007) employed the Frank copula for obtaining Downloaded from https://iwaponline.com/hr/article-pdf/42/2-3/193/371145/193.pdf by guest on 20 December 2019 intensity–duration–frequency (IDF) curves on the basis of probabilities of rainfall depth, conditioned on duration.”
Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River (2015, background): “…2010; Wong et al., 2010; Liu et al., 2011; Reddy and Ganguli, 2012a; Lee et al., 2013; Ma et al., 2013; Wong et al., 2013), rainfall analysis (Singh and Zhang, 2007; Zhang and Singh, 2007a; Gargouri-Ellouze and Chebchoub, 2008; Ghosh, 2010; Vandenberghe et al., 2010; Balistrocchi and Bacchi,…”