Fitting bivariate copulas to the dependence structure between storm characteristics: A detailed analysis based on 105 year 10 min rainfall
By Sander Vandenberghe, Niko E. C. Verhoest, B. De Baets. 2010
117 citations recorded by the source corpus.
Subfields: Finance, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/643b5ddc9e4e09e44a77ed2f97bcb7d0a66da8c5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- B. De Baets
- Niko E. C. Verhoest
- Sander Vandenberghe
- M. R. Kavianpour
- E. Buyse
- Christian Onof
- Mojca Šraj
- Yang Hong
In Global and Planetary Change
- Mojca Šraj
- Nejc Bezak
- M. Brilly
- Niko E. C. Verhoest
- Sander Vandenberghe
- B. De Baets
- Christian Onof
- Hilde Vernieuwe
Citations in the corpus
- A comparative copula‐based bivariate frequency analysis of observed and simulated storm events: A case study on Bartlett‐Lewis modeled rainfall (2011, methodology): “[26] Vandenberghe et al. [2010a] provide an in‐depth overview of the different steps necessary for the fitting of bivariate copulas to the dependence structure between storm characteristics.”
- Uncertainty analysis of bias from satellite rainfall estimates using copula method (2014, background): “…families of copula in hydrological and meteorological processes have been reported by Grimaldi and Serinaldi (2006), Renard and Lang (2007), Zhang and Singh (2007), Evin and Favre (2008), Serinaldi (2009a,b), Wang et al. (2010), Aghakouchak et al. (2010a,b,c), and Vandenberghe et al. (2010).”
- Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River (2015, background): “…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, 2011; Ariff et al., 2012), assessing the risk of dam overtopping (De Michele et al., 2005),…”
- A continuous rainfall model based on vine copulas (2015, methodology): “Vandenberghe et al. (2010b) asserted that the hypothesis of stationarity of storms on the Uccle time series is fulfilled through seasonally sub-dividing the storms allowing copulas to be fitted per season.”
- A stochastic design rainfall generator based on copulas and mass curves (2010, background): “For more details on the fitting process and the goodness-of-fit evaluation, the reader is referred to Vandenberghe et al. (2010a). As stated before, seasons are treated separately to comply with the assumption of non-stationarity, which is needed because of the underlying copula theory.”