Design hyetograph analysis with 3-copula function

By Salvatore Grimaldi, F. Serinaldi. 2006

158 citations recorded by the source corpus.

Subfields: Finance, Global and Planetary Change, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8e6c6be3ba4feea323e49960a89f674835966842

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Citations in the corpus

Bivariate drought frequency analysis using the copula method (2012, methodology): “…have been adopted for hydrological studies of multivariate flood frequency analysis (Favre et al. 2004; Zhang and Singh 2006; Shiau et al. 2006; Grimaldi and Serinaldi 2006a; Kao and Govindaraju 2007), for rainfall frequency analysis (De Michele and Salvadori 2003; Grimaldi and Serinaldi…”
The distribution of Kendall's tau for testing the significance of cross-correlation in persistent data (2011, methodology): “It has been recently shown that many natural data do not follow the MVG temporal dependence model (e.g. Grimaldi and Serinaldi 2006, Salvadori et al. 2007, Schölzel and Friederichs 2008).”
Copulas and Its Application in Hydrology and Water Resources (2018, methodology): “To model the different dependence structures, Grimaldi and Serinaldi (2006) applied nested classes of the Archimedean copulas. Following Joe (1997), Nelsen (1999), Embrechts et al.”
A new rainfall model based on the Neyman‐Scott process using cubic copulas (2008, background): “Recently, copulas appeared in hydrology [e.g., De Michele and Salvadori, 2003; Favre et al., 2004a; Grimaldi and Serinaldi, 2006; Genest and Favre, 2007; Renard and Lang, 2007].”
Measure of Correlation between River Flows Using the Copula-Entropy Method (2013, background): “One is a linear relation which mainly exists in regression models measured by the covariance and the correlation coefficient, and it is based on the multivariate normal distribution (Xu 2005; Zhao and Lin 2011). Calsaverini and Vicente (2009) clarified the danger of using linear correlation as a mea”
A copula-based joint deficit index for droughts. (2010, background): “…for constructing 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…”
Fitting bivariate copulas to the dependence structure between storm characteristics: A detailed analysis based on 105 year 10 min rainfall (2010, methodology): “Some contributions to this topic have already been made: the use of fully nested Archimedean copulas [Grimaldi and Serinaldi, 2006b; Serinaldi and Grimaldi, 2007], multivariate metaelliptical copulas [Genest et al., 2007], and conditional mixtures [De Michele et al., 2007; Salvadori and De Michele,…”
A simulation experiment for optimal design hyetograph selection (2008, background): “Recently, Grimaldi and Serinaldi (2006) developed a multivariate approach to define design rainfall patterns in a probabilistic way, and Lin et al. (2005) proposed a procedure to evaluate design hyetographs at ungauged sites.”
Drought characterization using a new copula-based trivariate approach (2014, background): “…Singh 2006; Renard and Lang 2007), probabilistic structure of storm surface runoff (Kao and Govindaraju 2007b), trivariate flood frequency analysis (Grimaldi and Serinaldi 2006a), trivariate analysis of statistical characterization of temporal structure of storms (Salvadori and De Michele 2006),…”