Modeling of daily precipitation at multiple locations using a mixture of distributions to characterize the extremes

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Simulation of the entire range of daily precipitation using a hybrid probability distribution (2012, background): “[4] Since daily precipitation amount always shows a skewed distribution with a bias toward low values, it is usually modeled by distribution families which have right-skewed property [Hundecha et al., 2009].”
Multisite multivariate modeling of daily precipitation and temperature in the Canadian Prairie Provinces using generalized linear models (2016, background): “Elsewhere, exponential and mixed exponential distributions (Richardson 1981), as well as mixtures of different continuous distributions (Hundecha et al. 2009) have been used.”
Two‐component mixtures of normal, gamma, and Gumbel distributions for hydrological applications (2011, methodology): “[64] Recently, several mixture models with a heavytailed component have been applied in hydrology using a generalized Pareto distribution to model the upper tail [see Vrac and Naveau, 2007; Carreau et al., 2009; Hundecha et al., 2009].”