Mixed rectangular pulses models of rainfall
dc.contributor.author | Cowpertwait, P.S.P. | |
dc.date.accessioned | 2013-05-12T23:41:06Z | |
dc.date.available | 2013-05-12T23:41:06Z | |
dc.date.issued | 2003 | |
dc.description.abstract | In a recent paper ((3)) a fitting procedure for the Neyman-Scott rectangular pulses (NSRP) spatial-temporal model of rainfall was developed. In that paper, the NSRP third moment function was fitted to the equivalent sample value taken at one-hour time intervals. In this paper, the fitting and modelling procedure are extended to ensure a close fit is obtained to further sample properties over a range of time scales. The stochastic model is a ‘mixed’ model obtained as the superposition of two independent NSRP processes. The model is fitted to hourly data from Auckland, New Zealand, where a good fit to sample properties is obtained. It is found that a special case arises (the superposition of an NSRP process and a Poisson rectangular pulses process) for data over the summer period. A simulation study of extremes over a range of time scales supports the use of the model in hydrological applications. | en |
dc.identifier.citation | Cowperthwait, P.S.P. (2003), Mixed rectangular pulses models of rainfall, Research Letters in the Information and Mathematical Sciences, 5, 61-70 | en |
dc.identifier.issn | 1175-2777 | |
dc.identifier.uri | http://hdl.handle.net/10179/4409 | |
dc.language.iso | en | en |
dc.publisher | Massey University | en |
dc.subject | Rainfall | en |
dc.title | Mixed rectangular pulses models of rainfall | en |
dc.type | Article | en |