A copula-based joint deficit index for droughts.
By Shih-Chieh Kao, Rao S. Govindaraju. 2010
602 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/af7a3e98c4650c57c7400c201d468608fc15733a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- M. Janga Reddy
- Mojca Šraj
- Nejc Bezak
- Vijay P. Singh
- Shenglian Guo
- Poulomi Ganguli
- R. Palmer
- Kuk‐Hyun Ahn
In Ocean Engineering
- Lu Chen
- Vijay P. Singh
- Shenglian Guo
- M. Janga Reddy
- A. Fakheri‐Fard
- Y. Dinpashoh
- Rasoul Mirabbasi
- Shengzhi Huang
Citations in the corpus
- Agricultural Drought Prediction Based on Conditional Distributions of Vine Copulas (2021, methodology): “…et al., 2017; Liu et al., 2015, 2018; Zhang & Singh, 2019), change-point detection (Xiong et al., 2015), drought indicator construction (Feng et al., 2020; Kao & Govindaraju, 2010; Liu et al., 2019; Mirabbasi et al., 2013; Van de Vyver & Van den Bergh, 2018), drought risk assessment (Hao…”
- Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River (2015, methodology): “Among other applications, copula functions have been used for modelling droughts (Kao and Govindaraju, 2010; Wong et al., 2010; Liu et al., 2011; Reddy and Ganguli, 2012a; Lee et al., 2013; Ma et al., 2013; Wong et al., 2013), rainfall analysis (Singh and Zhang, 2007; Zhang and Singh, 2007a;…”
- A generalized framework for deriving nonparametric standardized drought indicators (2015, neutral): “and termination [4,15,23,30].”
- Copula based analysis of rainfall severity and duration: a case study (2013, background): “These standard multivariate distributions are associated with specific marginal distribution (normal or exponential), and therefore are not generally suitable for general applications (c.f. Kao and Govindaraju 2008; Kao and Govindaraju 2010).”
- Measure of Correlation between River Flows Using the Copula-Entropy Method (2013, background): “2010), drought frequency analysis (Shiau 2006; Kao and Govindaraju 2010; Song and Singh 2010; Chen et al. 2013), rainfall and flood events analysis (Singh and Zhang 2007; Xiao et al.”
- Bivariate Flood Frequency Analysis of Upper Godavari River Flows Using Archimedean Copulas (2012, background): “2011), for drought analysis (Kao and Govindaraju 2010; Song and Singh 2010; Janga Reddy and Ganguli 2012a), for groundwater analysis (Bárdossy 2006; Janga Reddy and Ganguli 2012b), and hydroclimatic variable analysis (Maity and Kumar 2008; Janga Reddy and Ganguli 2012b) etc.”