A space‐time Neyman‐Scott model of rainfall: Empirical analysis of extremes

By P. Cowpertwait, Chris G. Kilsby, P. O'Connell. 2002

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A daily weather generator for use in climate change studies (2007, background): “It has been shown to realistically reproduce extreme values for engineering impact studies, most recently using multi-site data of intense events from Italy (Cowpertwait et al., 2002) and for UK single-site data under present and future climates (Kilsby et al., 2004).”
Probabilistic Quantitative Precipitation Estimation in Complex Terrain (2005, unknown): “Prior work has focused on generating synthetic weather sequences (e.g., Cowpertwait et al. 2002) or stochastic rainfall simulations only for individual storms (e.g., Shah et al. 1996a,b).”
A comparative copula‐based bivariate frequency analysis of observed and simulated storm events: A case study on Bartlett‐Lewis modeled rainfall (2011, methodology): “…in point process modeling of rainfall in the direction of an incorporation of the third‐order moment of rainfall in the fitting procedure in order to better reproduce extremes [see, e.g., Cowpertwait, 1998; Cowpertwait et al., 2002; Cowpertwait, 2004; Cowpertwait et al., 2007; Burton et al., 2008].”