Abstract
The performance of a stochastic model, in which Poisson cluster processes represent the arrival of rain cells within a rainstorm, is assessed for hourly point rainfall data from Birmingham, UK. The Bartlett-Lewis Rectangular Pulse Model is extended to include random cell duration, and its performance is compared with that of the basic model analysed previously. Both models perform well in reproducing statistics of the rainfall depth distribution at different time-scales for individual months, but the randomised model also enables a good reproduction of the proportions of dry periods of different durations. Performance is improved by an optimisation method which addresses issues of parameter identification. However, some deficiencies remain with respect to extreme values. Finally, the seasonal variability of parameters is represented on a daily, rather than monthly basis, with comparable results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
