Spatial and temporal variability of rainfall related to a third-order Markov model

Many types of analysis require rainfall data, which must often be generated to overcome limitations in the historical record. The ability to model outlying rainfall years satisfactorily is particularly important in risk studies. We describe a rainfall generator with this ability, based on a third-or...

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Detalles Bibliográficos
Autores principales: Jones, Peter G., Thornton, Philip K.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 1997
Materias:
Acceso en línea:https://hdl.handle.net/10568/28069
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author Jones, Peter G.
Thornton, Philip K.
author_browse Jones, Peter G.
Thornton, Philip K.
author_facet Jones, Peter G.
Thornton, Philip K.
author_sort Jones, Peter G.
collection Repository of Agricultural Research Outputs (CGSpace)
description Many types of analysis require rainfall data, which must often be generated to overcome limitations in the historical record. The ability to model outlying rainfall years satisfactorily is particularly important in risk studies. We describe a rainfall generator with this ability, based on a third-order Markov process, and we show how the fitted parameters of the model vary for an illustrative sample of 18 sites with highly contrasting climates. Some of the parameters of the model show patterns that are characteristic of the climate type. The model should thus be suitable for interpolating rainfall data where they do not exist. We also fitted the model to subsets of some long data records to illustrate the marked changes in rainfall characteristics that have occurred in some locations over the last 70 years, and to help understand the nature of these changes.
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spelling CGSpace280692024-05-01T08:17:29Z Spatial and temporal variability of rainfall related to a third-order Markov model Jones, Peter G. Thornton, Philip K. rain models seasonal variation Many types of analysis require rainfall data, which must often be generated to overcome limitations in the historical record. The ability to model outlying rainfall years satisfactorily is particularly important in risk studies. We describe a rainfall generator with this ability, based on a third-order Markov process, and we show how the fitted parameters of the model vary for an illustrative sample of 18 sites with highly contrasting climates. Some of the parameters of the model show patterns that are characteristic of the climate type. The model should thus be suitable for interpolating rainfall data where they do not exist. We also fitted the model to subsets of some long data records to illustrate the marked changes in rainfall characteristics that have occurred in some locations over the last 70 years, and to help understand the nature of these changes. 1997-08 2013-05-06T06:59:51Z 2013-05-06T06:59:51Z Journal Article https://hdl.handle.net/10568/28069 en Limited Access Elsevier Agricultural and Forest Meteorology;86(1-2): 127-138
spellingShingle rain
models
seasonal variation
Jones, Peter G.
Thornton, Philip K.
Spatial and temporal variability of rainfall related to a third-order Markov model
title Spatial and temporal variability of rainfall related to a third-order Markov model
title_full Spatial and temporal variability of rainfall related to a third-order Markov model
title_fullStr Spatial and temporal variability of rainfall related to a third-order Markov model
title_full_unstemmed Spatial and temporal variability of rainfall related to a third-order Markov model
title_short Spatial and temporal variability of rainfall related to a third-order Markov model
title_sort spatial and temporal variability of rainfall related to a third order markov model
topic rain
models
seasonal variation
url https://hdl.handle.net/10568/28069
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AT thorntonphilipk spatialandtemporalvariabilityofrainfallrelatedtoathirdordermarkovmodel