Bivariate drought frequency analysis using the copula method

By Rasoul Mirabbasi, A. Fakheri‐Fard, Y. Dinpashoh. Theoretical and Applied Climatology, 2012

233 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/44753ef4502aa920f5ec00991d9079fdddf26966

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In Ecology, Evolution, Behavior and Systematics

In Global and Planetary Change

Citations in the corpus

Copula-based risk assessment of drought in Yunnan province, China (2015, methodology): “Since the droughts are closely related to the stochastic phenomena including precipitation and temperature, evaluation of their probability characteristic in terms of duration and severity is of great significance for water resources planning and management (Mirabbasi et al. 2012).”
Application of copulas for regional bivariate frequency analysis of meteorological droughts in Turkey (2016, methodology): “Mirabbasi et al. (2012) used two-dimensional copulas in the analysis of meteorological drought characteristics of the Sharafkhaneh gauge station located in the northwest of Iran.”
Copula based analysis of rainfall severity and duration: a case study (2013, methodology): “There are three Archimedean copulas in common use in hydrology research namely, the Clayton, Frank and Gumbel-Hougard copulas (c.f. Mirabbasi et al. 2012; Reddy and Ganguli 2012; Serinaldi et al. 2009; Shiau 2006; Zhang and Singh 2007).”
Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin (2016, methodology): “The parameters of Archimedean copula families are estimated by the inference function margins (IFM) method proposed by Joe (1997) because it is commonly applied to hydrologic variables (Shiau, 2006; Shiau and Modarres, 2009; Mirabbasi et al., 2012; Lee et al., 2013).”
Spatial analysis of meteorological drought return periods in China using Copulas (2015, background): “Mirabbasi et al. (2012) found that the Galambos Copula provided the best fitness for the observed drought data at the Sharafkhaneh Station in Iran.”
Spatio-temporal analysis and derivation of copula-based intensity–area–frequency curves for droughts in western Rajasthan (India) (2013, methodology): “Mir Abbasi et al. (2012) employed bivariate copulas to model meteorological drought properties—severity and duration of northwestern Iran.”