Onof, C., Yameundjeu, B., Paoli, J.-P. and Ramesh, N. ORCID: https://orcid.org/0000-0001-6373-2557 (2002) A Markov modulated Poisson process model for rainfall increments. Water Science and Technology, 45 (2). pp. 91-97. ISSN 0273-1223

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Abstract

The problems encountered when using traditional rectangular pulse hierarchical point processmodels for fine temporal resolution and the growing number of available tip-time records suggest that rainfall increments from tipping-bucket gauges be modelled directly. Poisson processes are used with an arrival rate modulated by a Markov chain in Continuous time. The paper shows how, by using two or three states for this chain, much of the structure of the rainfall intensity distribution and the wet/dry sequences can be represented for time-scales as small as 5 minutes.

Item Type:	Article
Uncontrolled Keywords:	stochastic modelling, rainfall, tipping-bucket
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > QA Mathematics > QA76 Computer software T Technology > TC Hydraulic engineering. Ocean engineering
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Mathematical Sciences School of Computing & Mathematical Sciences > Statistics & Operational Research Group
Related URLs:	Publisher Publisher Organisation
Last Modified:	27 Oct 2020 14:50
URI:	http://gala.gre.ac.uk/id/eprint/571

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