An Extended Version of the Richardson Model for Simulating Daily Weather Variables

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Global crop yield response to extreme heat stress under multiple climate change futures (2014, methodology): “Then, PEGASUS uses monthly mean climate input of total precipitation, wet day frequency, fraction of sunshine hours and minimum, maximum and mean temperatures to feed into an extended version of the Richardson weather generator [55, 56].”
Hydrological extremes in a southwestern Ontario river basin under future climate conditions/Extrêmes hydrologiques dans un basin versant du sud-ouest de l'Ontario sous conditions climatiques futures (2005, unknown): “They can be parametric (Katz, 1977; Buishand, 1978; Woolhiser & Roldan, 1982; Richardson & Wright, 1984; Wilks, 1992; Semenov & Barrow, 1997; Parlange & Katz, 2000) and nonparametric (Young, 1994; Lall et al., 1996; Buishand & Brandsma, 2001; Yates et al., 2003).”
A method for statistical downscaling of seasonal ensemble predictions (2005, background): “Details can be found in, e.g., Katz (1996) and Parlange and Katz (2000) .”
Simulation of the entire range of daily precipitation using a hybrid probability distribution (2012, methodology): “Over the past decades, many simulation techniques have been developed [e.g., Gabriel and Neumann, 1962; Katz, 1974, 1977; Todorovic and Woolhiser, 1975; Richardson, 1981; Stern and Coe, 1984; Lall and Sharma, 1996; Wilks, 1998; Rajagopalan and Lall, 1999; Parlange and Katz, 2000; Yan et al., 2002; H”