Statistical characterization of temporal structure of storms

By G. Salvadori, Carlo De Michele. 2006

142 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/0943ff411f44ffd956ea5f6f56e4a6154e6d861a

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In Global and Planetary Change

In Ocean Engineering

In Water Science and Technology

Citations in the corpus

A continuous rainfall model based on vine copulas (2015, unknown): “Some applications can be found in the modelling of trivariate rainfall (Zhang and Singh, 2007; Kao and Govindaraju, 2008; Salvadori and De Michele, 2006; Grimaldi and Serinaldi, 2006), trivariate ﬂoods (Serinaldi et al. (2010).”
Meta-elliptical copulas for drought frequency analysis of periodic hydrologic data (2010, background): “In recent years considerable attention has been focused on the use of copulas for multivariate hydrologic analyses (De Michele and Salvadori 2003; Shiau 2003; Favre et al. 2004; Salvadori and De Michele 2004, 2006, 2007; De Michele et al. 2005 ;B ardossy 2006 ;B a´rdossy and Li 2008; Grimaldi and ”
A comparative copula‐based bivariate frequency analysis of observed and simulated storm events: A case study on Bartlett‐Lewis modeled rainfall (2011, methodology): “Some useful contributions in this direction are provided by Salvadori and De Michele [2006] , Grimaldi and Serinaldi [2006b], Kao and Govindaraju [2008], Lennartsson et al. [2008], Sun [2008], Bardossy and Pegram [2009], and Serinaldi [2009] and will be the subject of future research.”
Trivariate statistical analysis of extreme rainfall events via the Plackett family of copulas (2008, methodology): “ Salvadori and De Michele [2006] adopted one trivariate model that passed statistical examinations in their study, but the ramifications of other choices of trivariate models were not addressed.”
A bivariate frequency analysis of extreme rainfall with implications for design (2007, methodology): “Salvadori, 2003; Grimaldi and Serinaldi, 2006b; Salvadori and De Michele, 2006; Zhang and Singh, 2007] advocated the use of copula techniques for studying extreme rainfall, several questions remain.”
Analysis of inter-gauge dependence by Kendall’s τK, upper tail dependence coefficient, and 2-copulas with application to rainfall fields (2008, methodology): “A useful introduction to this tool can be found in Genest and Favre (2007), while for hydrological applications we refer the reader to some recent works and references therein, such as Favre et al. (2004), De Michele et al. (2005), Salvadori and De Michele (2004, 2006) , Grimaldi and Serinaldi (200”