Evaluation of cluster-based rectangular pulses point process modes for rainfall

Cluster-based point rainfall models were compared using hourly rainfall data from Denver, Colo., for the period 1949-1976. Three classes of model, the Bartlett-Lewis model, the geometric Neyman-Scott model, and the Poisson Neyman-Scott model, were compared, both with respect to the original formulation of the structure of each model and in the case of the modified description developed to improve the zero-depth probability. The geometric Neyman-Scott model gave better results than the Poisson Neyman-Scott model. In addition, the Bartlett-Lewis model was very sensitive to the sets of moment equations used in parameter estimation, while no such sensitivity was seen with the Neyman-Scott model.