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dc.contributor.authorGuenni, L
dc.contributor.authorHutchinson, MF
dc.contributor.authorHogarth, W
dc.contributor.authorRose, CW
dc.contributor.authorBraddock, R
dc.date.accessioned2019-05-27T03:18:40Z
dc.date.available2019-05-27T03:18:40Z
dc.date.issued1996
dc.identifier.issn0304-3800
dc.identifier.doi10.1016/0304-3800(94)00189-8
dc.identifier.urihttp://hdl.handle.net/10072/120605
dc.description.abstractA rigorous statistical methodology is given to estimate the coefficients of annually periodic functions representing the parameters of a continuous time rainfall model. The methodology is applied to the Rectangular Pulses Poisson model (RPPM) which simulates rainfall occurrences and rainfall amounts in continuous time. Two types of periodic functions, Fourier series and periodic quadratic polynomial splines, are used to represent the seasonal variation of the rainfall model parameters at two locations, Adelaide (Australia) and Turen (Venezuela). The coefficients of the periodic functions representing each model parameter are estimated by minimising a weighted residual sum of squares between observed and theoretical statistics of daily data. The numbers of coefficients of the periodic functions are selected by applying successive approximate likelihood ratio tests, by which the number of required coefficients is increased until no further improvement is gained with respect to a previous fit. Comparisons between the goodness of fit and numbers of selected coefficients show marginally superior performance of the periodic quadratic polynomial splines in comparison with Fourier Series for this particular rainfall model. The methodology is intended to provide an efficient procedure to parameterize the seasonal variability of rainfall data with the smallest number of coefficients, by reducing the original number of degrees of freedom used in the estimation procedure. The coefficients of the periodic functions are amenable to spatial interpolation and interpolated values can be used to simulate rainfall at any point of a particular region, for more detailed climatic impact assessment analyses.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier Science
dc.publisher.placeNetherlands
dc.relation.ispartofpagefrom203
dc.relation.ispartofpageto217
dc.relation.ispartofissue2-3
dc.relation.ispartofjournalEcological Modelling: International Journal on Ecological Modelling and Systems Ecology
dc.relation.ispartofvolume85
dc.titleA Model for Seasonal Variation of Rainfall at Adelaide and Turen
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith Institute for Drug Discovery
gro.hasfulltextNo Full Text
gro.griffith.authorRose, Calvin W.
gro.griffith.authorHogarth, William L.
gro.griffith.authorBraddock, Roger D.


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