# A Markov modulated Poisson process model for rainfall increments

Onof, C., Yameundjeu, B., Paoli, J.-P. and Ramesh, N.
(2002)
*A Markov modulated Poisson process model for rainfall increments.*
Water Science and Technology, 45 (2).
pp. 91-97.
ISSN 0273-1223

## 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 |
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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: | |

Last Modified: | 14 Oct 2016 09:01 |

URI: | http://gala.gre.ac.uk/id/eprint/571 |

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