Obtaining daily precipitation parameters from meteorological yearbooks

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dc.contributor.authorMeza, Francisco J.
dc.date.accessioned2024-01-10T13:15:41Z
dc.date.available2024-01-10T13:15:41Z
dc.date.issued2006
dc.description.abstractThis study compares the performance of two different methods, one based on the method of moments and the other based on maximum likelihood, in their assessment of the main statistical features of daily precipitation using censored information found in meteorological yearbooks. A Monte Carlo simulation was performed to generate series of daily rainfall and summarize them in the same format meteorological yearbooks report precipitation. While the method of moments for censored data (c-Mo) is a good alternative for the estimation of the parameters of precipitation occurrence due to its simplicity, the method of maximum likelihood for censored data (c-MLE) shows better results in estimating the parameters and quantiles of daily precipitation intensities. The c-MLE method is a good alternative even in situations in which the wrong candidate distribution is fit. The precision of the estimates obtained using both methods is increased when larger sample sizes are used, however c-MLE shows better results than c-Mo method for small sample sizes. (c) 2006 Elsevier B.V. All rights reserved.
dc.fechaingreso.objetodigital2024-03-19
dc.format.extent15 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.agrformet.2006.04.007
dc.identifier.issn0168-1923
dc.identifier.urihttps://doi.org/10.1016/j.agrformet.2006.04.007
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/78522
dc.identifier.wosidWOS:000240216800018
dc.information.autorucAgronomía e Ing. Forestal;Meza F;S/I;86534
dc.issue.numero1-4
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final230
dc.pagina.inicio216
dc.publisherELSEVIER SCIENCE BV
dc.revistaAGRICULTURAL AND FOREST METEOROLOGY
dc.rightsacceso restringido
dc.subjectdaily rainfall
dc.subjectcensored information
dc.subjectmeteorological yearbooks
dc.subjectINTERANNUAL VARIABILITY
dc.subjectWEATHER VARIABLES
dc.subjectENSO PHASE
dc.subjectMODELS
dc.subjectTEMPERATURE
dc.subjectFORECASTS
dc.subjectSERIES
dc.subjectCHILE
dc.subject.ods13 Climate Action
dc.subject.ods06 Clean Water and Sanitation
dc.subject.odspa13 Acción por el clima
dc.subject.odspa06 Agua limpia y saneamiento
dc.titleObtaining daily precipitation parameters from meteorological yearbooks
dc.typeartículo
dc.volumen138
sipa.codpersvinculados86534
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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