Extensions of the Bartlett-Lewis model for rainfall processes

While the berlett-Lewis model has been widely used for modelling rainfall processes at a fixed point in space over time, there are observed features, such as longer-scale dependence, which are not well fitted by the model. In this paper is a study of an extension where the authors put an extra layer...

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Main Authors: Salim, A., Pawitan, Y.
Format: Journal Article
Language:Inglés
Published: 2003
Subjects:
Online Access:https://hdl.handle.net/10568/18729
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author Salim, A.
Pawitan, Y.
author_browse Pawitan, Y.
Salim, A.
author_facet Salim, A.
Pawitan, Y.
author_sort Salim, A.
collection Repository of Agricultural Research Outputs (CGSpace)
description While the berlett-Lewis model has been widely used for modelling rainfall processes at a fixed point in space over time, there are observed features, such as longer-scale dependence, which are not well fitted by the model. In this paper is a study of an extension where the authors put an extra layer in the clustered Poisson process of storm origins. They also investigate the Pareto inter-arrival time for the storm origins, which has been used to model web-traffic data. The study derives the theoritical first and second-order properties of the multi-layer clustered Poisson processes, but generally it has to rely on Monte Carlo techniques. The models are fitted to hourly rainfall data from Valentina observatory in southwest Ireland, where the extensions are shown to improve on the standards models. The authors generalize these models further by allowing some parameters of the models to be a function of some covariates. An application using data from Valentina observatory and Belmullet showes how to use this class of models to analyze the association between the rainfall pattern and the North Atlantic Oscillation (NAO) index.
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spelling CGSpace187292025-01-24T14:12:12Z Extensions of the Bartlett-Lewis model for rainfall processes Salim, A. Pawitan, Y. rain models statistics While the berlett-Lewis model has been widely used for modelling rainfall processes at a fixed point in space over time, there are observed features, such as longer-scale dependence, which are not well fitted by the model. In this paper is a study of an extension where the authors put an extra layer in the clustered Poisson process of storm origins. They also investigate the Pareto inter-arrival time for the storm origins, which has been used to model web-traffic data. The study derives the theoritical first and second-order properties of the multi-layer clustered Poisson processes, but generally it has to rely on Monte Carlo techniques. The models are fitted to hourly rainfall data from Valentina observatory in southwest Ireland, where the extensions are shown to improve on the standards models. The authors generalize these models further by allowing some parameters of the models to be a function of some covariates. An application using data from Valentina observatory and Belmullet showes how to use this class of models to analyze the association between the rainfall pattern and the North Atlantic Oscillation (NAO) index. 2003 2012-06-04T09:08:45Z 2012-06-04T09:08:45Z Journal Article https://hdl.handle.net/10568/18729 en Salim, A., Pawitan, Y. 2003. Extensions of the Bartlett-Lewis model for rainfall processes . Statistical Modelling 1 :1-20.
spellingShingle rain
models
statistics
Salim, A.
Pawitan, Y.
Extensions of the Bartlett-Lewis model for rainfall processes
title Extensions of the Bartlett-Lewis model for rainfall processes
title_full Extensions of the Bartlett-Lewis model for rainfall processes
title_fullStr Extensions of the Bartlett-Lewis model for rainfall processes
title_full_unstemmed Extensions of the Bartlett-Lewis model for rainfall processes
title_short Extensions of the Bartlett-Lewis model for rainfall processes
title_sort extensions of the bartlett lewis model for rainfall processes
topic rain
models
statistics
url https://hdl.handle.net/10568/18729
work_keys_str_mv AT salima extensionsofthebartlettlewismodelforrainfallprocesses
AT pawitany extensionsofthebartlettlewismodelforrainfallprocesses