Copula‐based drought severity‐duration‐frequency analysis in Iran

By J. Shiau, Reza Modarres. 2009

275 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/6c5d27e3e2cd975c04e95f1b078df8ca1e02102f

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In Ecology, Evolution, Behavior and Systematics

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Citations in the corpus

Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin (2016, methodology): “Because low flow events are multi-faceted in nature (Shiau and Modarres, 2009), simultaneous evaluation of multiple characteristics is required; researchers have attempted to characterize droughts and low flow events by their duration, severity, intensity, and spatial extent (Mishra and Singh,…”
Application of copulas for regional bivariate frequency analysis of meteorological droughts in Turkey (2016, methodology): “Among the various probability distributions used for fitting drought characteristics, Exponential distribution for drought duration and Gamma distribution for drought severity are the most common probability distributions (Shiau and Modarres 2009).”
Drought characterization using a new copula-based trivariate approach (2014, background): “Moreover, Shiau (2006), Shiau et al. (2006), Wong et al. (2008), Kao (2010), Shiau and Modarres (2009), Mirakbari et al. (2010), Wong et al. (2010), Cancelliere and Salas (2004), Kao and Govindaraju (2010), Song and Singh (2010a, b) and Liu et al. (2011) reported on the applications of copulas in…”
Spatial analysis of meteorological drought return periods in China using Copulas (2015, methodology): “employed the Clayton Copula to model the correlation between drought duration and severity in Iran, and found the difference in the return period between Abadan and Anzali (Shiau and Modarres 2009).”
Application of copulas for derivation of drought severity–duration–frequency curves (2012, methodology): “Shiau and Modarres (2009) investigated the nature of S-D-F curves of two different climatic regions in Iran using the Archimedean class of Clayton copula because of its simplified structure.”
Multivariate Drought Frequency Analysis using Four-Variate Symmetric and Asymmetric Archimedean Copula Functions (2018, methodology): “For instance in China, Shiau (2006) built a joint distribution between drought severity and duration in Southern Taiwan while Shiau and Modarres (2009) employed Clayton copula to model drought severity and duration frequency curves for two climatic regions in Iran.”
Data‐based analysis of bivariate copula tail dependence for drought duration and severity (2013, methodology): “…distribution functions have been applied for fitting drought characteristics such as gamma for drought severity and exponential, mixture exponential and geometric for drought duration (Loaiciga and Leipnik, 1996; Salas et al., 2005; Shiau, 2006; Shiau et al., 2007; Shiau and Modarres, 2009).”
Bivariate drought frequency analysis using the copula method (2012, methodology): “4.2 Univariate CDFs for drought severity and duration Drought severity and duration are commonly fitted with gamma and exponential distributions, respectively (e.g., Mathier et al. 1992; Shiau and Shen 2001; Shiau et al. 2007; Shiau and Modarres 2009).”
Frequency analysis of droughts using the Plackett copula and parameter estimation by genetic algorithm (2010, methodology): “Shiau and Modarres (2009) used copulas to construct the joint distribution function of drought severity and duration for Abadan and Anzali gauge stations in Iran.”
Multivariate modeling of droughts using copulas and meta-heuristic methods (2014, background): “Recently a few studies have investigated copulas for multi-variate statistical analysis of droughts (Shiau 2006; Shiau et al. 2007; Shiau and Modarres 2009; Laux et al. 2009; Kao and Govindaraju 2010; Janga Reddy and Ganguli 2012, 2013; Ganguli and Janga Reddy 2012).”
Multivariate drought characteristics using trivariate Gaussian and Student t copulas (2013, methodology): “Shiau and Modarres (2009) developed a drought severity-duration-frequency as the univariate distribution functions of drought severity and duration, and then applied a copula function to link the fitted univariate models.”