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Doubly stochastic Poisson process models for precipitation at fine time-scales

Doubly stochastic Poisson process models for precipitation at fine time-scales

Ramesh, Nadarajah I., Onof, Christian and Xie, Dichao (2011) Doubly stochastic Poisson process models for precipitation at fine time-scales. Advances in Water Resources, 45. pp. 58-64. ISSN 0309-1708 (doi:10.1016/j.advwatres.2011.09.017)

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Abstract

This paper considers a class of stochastic point process models, based on doubly stochastic Poisson processes, in the modelling of rainfall. We examine the application of this class of models, a neglected alternative to the widely-known Poisson cluster models, in the analysis of fine time-scale rainfall intensity. These models are mainly used to analyse tipping-bucket raingauge data from a single site but an extension to multiple sites is illustrated which reveals the potential of this class of models to study the temporal and spatial variability of precipitation at fine time-scales.

Item Type: Article
Additional Information: [1] Available online 19 October 2011.
Uncontrolled Keywords: precipitation, doubly stochastic, tip-times, rainfall intensity, fine-time scale
Subjects: Q Science > QA Mathematics
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:18
URI: http://gala.gre.ac.uk/id/eprint/7369

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