Spatio-temporal analysis and derivation of copula-based intensity–area–frequency curves for droughts in western Rajasthan (India)

By M. Janga Reddy, Poulomi Ganguli. Stochastic environmental research and risk assessment (Print), 2013

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Multivariate modeling of droughts using copulas and meta-heuristic methods (2014, methodology): “This study adopted the elitist-mutated PSO method (Nagesh Kumar and Janga Reddy 2007) for estimating parameters of copula models and solving the nonlinear function of return periods for deriving SDF curves.”
Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques (2014, background): “Moreover, hydrological extremes are described by several mutually correlated characteristics; such as peak flow, volume and duration (Zhang and Singh, 2007) for floods and severity, duration, intensity and spatial extent for droughts (Reddy and Ganguli, 2013; Song and Singh, 2010).”
Copula-based risk assessment of drought in Yunnan province, China (2015, background): “Drought is a multivariate phenomenon characterized by the severity, duration and geographic extent which is a challenge for people to understand the spatial and temporal nature of droughts in different regional scale (Reddy and Ganguli 2013).”