A bivariate frequency analysis of extreme rainfall with implications for design

By Shih-Chieh Kao, Rao S. Govindaraju. 2007

150 citations recorded by the source corpus.

Subfields: Finance, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/887ea3b33b5a8f5366d10d42dd9d7d2ad06cd8c5

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Citations in the corpus

A stochastic design rainfall generator based on copulas and mass curves (2010, methodology): “annual maxima, which can be defined in several ways in a multidimensional setting ( Kao and Govindaraju, 2007), in combination with extreme value copulas.”
Measure of Correlation between River Flows Using the Copula-Entropy Method (2013, methodology): “For example, they have been used for rainfall frequency analysis (De Michele and Salvadori 2003; Grimaldi and Serinaldi 2006a; Kao and Govindaraju 2007; Zhang and Singh 2007a, b; Kuhn et al. 2007), flood frequency analysis (Favre et al.”
Fitting bivariate copulas to the dependence structure between storm characteristics: A detailed analysis based on 105 year 10 min rainfall (2010, background): “Also, the work of Kao and Govindaraju [2007a, 2007b] and Serinaldi [2008] contributes to rainfallrelated research.”
Copula‐based drought severity‐duration‐frequency analysis in Iran (2009, background): “Drought is a normal and recurrent phenomenon that affects humid as well as arid regions to some degree. Stemming from an absence of rainfall, severe droughts may lead to inadequate water supplies in urban and agricultural areas. Wilhite (2000) indicated that drought is the costliest natural hazard i”
A copula-based joint deficit index for droughts. (2010, background): “…joint distributions is evident from related studies on rainfall frequency analysis (De Michele and Salvadori, 2003; Grimaldi and Serinaldi, 2006b; Kao and Govindaraju, 2007a; Zhang and Singh, 2007; Kuhn et al., 2007), flood frequency analysis (Favre et al., 2004; De Michele et al., 2005; Shiau…”
A Bayesian Hierarchical Approach to Multivariate Nonstationary Hydrologic Frequency Analysis (2018, background): “Yue and Rasmussen (2002), Kao and Govindaraju (2007), and Vandenberghe et al. (2011) conduct bivariate frequency analysis of rainfall and streamflow extremes using copulas.”
Drought characterization using a new copula-based trivariate approach (2014, methodology): “Several illustrative and review studies on rainfall frequency analysis (De 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…”
A multivariate conditional model for streamflow prediction and spatial precipitation refinement (2015, background): “…analysis, identifying drought return periods, rainfall generator, spatial dependence modeling, and geostatistical interpolation [Favre et al., 2004; Salvadori and De Michele, 2004; Zhang and Singh, 2006; Kao and Govindaraju, 2007; Bárdossy and Li, 2008; Serinaldi, 2009; Hobæk Haff et al., 2015].”
Weighted likelihood copula modeling of extreme rainfall events in Connecticut. (2010, background): “There exists plenty of16 evidence for the dependence among these three variables (e.g., Cordova and Rodriguez-17 Iturbe, 1985; Kurothe et al., 1997; Goel et al., 2000; Kao and Govindaraju, 2007).”
Trivariate statistical analysis of extreme rainfall events via the Plackett family of copulas (2008, methodology): “…of its versatility in accommodating the entire range of dependencies and because of good performance in many applications [De Michele and Salvadori, 2003; Favre et al., 2004; Grimaldi and Serinaldi, 2006b; Salvadori and De Michele, 2006; Zhang and Singh, 2006, 2007; Kao and Govindaraju, 2007a].”
Flood Coincidence Risk Analysis Using Multivariate Copula Functions (2012, methodology): “For example, they have been used for rainfall frequency analysis (De Michele and Salvadori 2003; Grimaldi and Serinaldi 2006a; Kao and Govindaraju 2007; Zhang and Singh 2007a; and Kuhn et al. 2007), flood frequency analysis (Favre et al.”
Multivariate drought characteristics using trivariate Gaussian and Student t copulas (2013, background): “…Grimaldi and Serinaldi, 2006; Shiau et al., 2006; Zhang and Singh, 2006, 2007a, 2007b, 2007c; Genest and Favre, 2007; Genest et al., 2007a, 2007b; Kao and Govindaraju, 2007a, 2007b, 2008; Poulin et al., 2007; Renard and Lang, 2007; Serinaldi and Grimaldi, 2007; Evin and Favre, 2008; Villarini et…”
A comparative copula‐based bivariate frequency analysis of observed and simulated storm events: A case study on Bartlett‐Lewis modeled rainfall (2011, background): “Pioneering work in copula‐based bivariate frequency analysis are the studies of De Michele and Salvadori [2003] and Favre et al. [2004], followed by several other contributions [e.g., De Michele et al., 2005; Genest and Favre, 2007; Kao and Govindaraju, 2007; Zhang and Singh, 2007a].”
Drought Analysis Using Copulas (2013, methodology): “For example, they have been used for rainfall frequency analysis (De Michele and Salvadori 2003; Grimaldi and Serinaldi 2006; Kao and Govindaraju 2007; Zhang and Singh 2007; Kuhn et al. 2007), flood frequency analysis (Favre et al.”