Modelling bivariate rainfall distribution and generating bivariate correlated rainfall data in neighbouring meteorological subdivisions using copula
By Subimal Ghosh. 2010
62 citations recorded by the source corpus.
Subfields: Finance, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/94de70bea08e4c730989d1a98db918e3f7a3d785
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Yi‐Feng Chen
- Kok-Kwang Phoon
- A. Fakheri‐Fard
- Chuangbing Zhou
- Y. Dinpashoh
- Mojca Šraj
- Rasoul Mirabbasi
- Dianqing Li
In Global and Planetary Change
- Mojca Šraj
- Nejc Bezak
- M. Brilly
- Yi‐Feng Chen
- Kok-Kwang Phoon
- A. Fakheri‐Fard
- Chuangbing Zhou
- Y. Dinpashoh
Citations in the corpus
- Bivariate drought frequency analysis using the copula method (2012, methodology): “The second specification was based on the comparison of parametric and nonparametric values of the upper tail dependence coefficients (Ghosh 2010).”
- Bivariate simulation using copula and its application to probabilistic pile settlement analysis (2013, methodology): “Ghosh [9] used the copula approach to derive the bivariate distribution of monsoon rainfall in neighboring meteorological subdivisions.”
- Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River (2015, background): “…2013; Ma et 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.,…”