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Model for Multiple Imputation to Estimate Daily Rainfall Data and Filling of Faults

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Resumo:Abstract Modeling by multiple enchained imputation is an area of growing importance. However, its models and methods are frequently developed for specific applications. In this study the model for multiple imputation was used to estimate daily rainfall data. Daily precipitation records from several meteorological stations were used, obtained from system AGRITEMPO for two homogenous climatic zones. The precipitation values obtained for two dates (Jan. 20th 2005 and May 2nd 2005) using the multiple imputation model were compared with geo-statistics techniques ordinary Kriging and Co-kriging with the altitude as an auxiliary variable. The multiple imputation model was 16% better for the first zone and over 23% for the second one, compared to the rainfall estimation obtained by geo-statistical techniques. The model proved to be a versatile technique, presenting coherent results with the conditions of different zones and times.
Autores principais:de Carvalho,José Ruy Porto
Outros Autores:Almeida Monteiro,José Eduardo Boffinho; Nakai,Alan Massaru; Assad,Eduardo Delgado
Assunto:model by multiple imputation chains precipitation ordinary kriging ordinary Co-kriging homogeneous zones
Ano:2017
País:Brasil
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:IBICT
Idioma:inglês
Origem:Oasisbr

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