A comparative copula‐based bivariate frequency analysis of observed and simulated storm events: A case study on Bartlett‐Lewis modeled rainfall

By Sander Vandenberghe, Niko E. C. Verhoest, Christian Onof, B. De Baets. 2011

109 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/f9e21260f88128f2bb00569d37cb0be8e6854737

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Citations in the corpus

A continuous rainfall model based on vine copulas (2015, unknown): “…varying lengths, concerning statistical analyses (Vaes et al., 2002; De Jongh et al., 2006; Ntegeka and Willems, 2008; Vandenberghe et al., 2010b) and stochastic rainfall modelling (Verhoest et al., 1997; Vandenberghe et al., 2011; Vanhaute et al., 2012; Evin and Favre, 2013; Pham et al., 2013).”
Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River (2015, methodology): “…selection (Karmakar and Simonovic, 2009), copula parameter estimation (Salvadori et al., 2007), goodness of fit testing for copulas (Genest and Remillard, 2008; Genest et al., 2011) and multivariate return period calculation (Salvadori et al., 2011; Vandenberghe et al., 2011; Graler et al., 2013).”
Probabilistic assessment of flood risks using trivariate copulas (2012, background): “In this context, the concept of secondary return period is practically useful for design of hydraulic structures (Salvadori 2004; Vandenberghe et al. 2011).”
Copula-based risk assessment of drought in Yunnan province, China (2015, background): “2.5 Bivariate archimedean copulas Among the families of copulas, the Archimedean copula family has been widely used in the area of hydrology and, in particular, in the analysis of the characteristics of drought (Li et al. 2012; Liu et al. 2011; Zhang et al. 2012a).”
Entropy‐copula method for single‐site monthly streamflow simulation (2012, background): “One of the most common applications is frequency analysis of hydrological variables [Favre et al., 2004; Salvadori and De Michele, 2004; Genest et al., 2007; Kao and Govindaraju, 2008; Chebana and Ouarda, 2009; Salvadori and De Michele, 2010; Renard, 2011; Vandenberghe et al., 2011].”
Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin (2016, background): “…Ltd. et al. (2012), an Archimedean copula has a total of 22 copula functions as its members, thus enabling its application in the analysis of a wide range of dependence levels, from negative to positive, for various hydrologic characterist ics (Kao and Govindaraju, 2007; Vandenberghe et al., 2011).”
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.”
Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation (2012, background): “However, limited applications have been developed with more than two variables (Vandenberghe et al., 2010; Pinya et al., 2009; Kao and Govindaraju, 2008, 2007; Genest et al., 2007; Serinaldi and Grimaldi, 2007; Zhang and Singh, 2007; Grimaldi and Serinaldi, 2006a,b).”
Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice (2018, methodology): “For any given multivariate flood event, the corresponding OR exceedance probability was larger than that of AND, with the Kendall exceedance probability somewhere in between (Vandenberghe et al., 2011).”