Disaggregating daily precipitations into hourly values with a transformed censored latent Gaussian process

By Denis Allard, Marc Bourotte. Stochastic environmental research and risk assessment (Print), 2015

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A spatiotemporal precipitation generator based on a censored latent Gaussian field (2015, methodology): “…the precipitation amounts have been modeled using a Box-Cox transformation [see Box and Cox, 1964], a quadratic power transformation [see Glasbey and Nevison, 1997; Durban and Glasbey, 2001] or a power-exponential transformation of the censored Gaussian distribution [see Allard and Bourotte, 2015].”
Stochastic generation of multi-site daily precipitation focusing on extreme events (2018, background): “Meta-Gaussian models (Vischel et al., 2009; Kleiber et al., 2012; Allard and Bourotte, 2015; Baxevani and Lennartsson, 2015; Bennett et al., 2017) are based on truncated and transformed random Gaussian fields.”