Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1048254
Research center of Embrapa/Collection: Embrapa Informática Agropecuária - Artigo em periódico indexado (ALICE)
Date Issued: 2016
Type of Material: Artigo em periódico indexado (ALICE)
Authors: CARVALHO, J. R. P. de
NAKAI, A. M.
MONTEIRO, J. E. B. A.
Additional Information: JOSÉ RUY PORTO DE CARVALHO, CNPTIA; ALAN MASSARU NAKAI, CNPTIA; JOSE EDUARDO B DE ALMEIDA MONTEIRO, CNPTIA.
Title: Spatio-temporal modeling of data imputation for daily rainfall series in homogeneous zones.
Publisher: Revista Brasileira de Meteorologia, São Paulo, v. 31, n. 2, p. 196-201, Apr./June 2016.
Language: en
Keywords: Modelos espaço-temporal
Dados de precipitação
Krigagem ordinária
Cokrigagem ordinária
Zonas homogêneas
Sistema Agritempo
Spatio-temporal model
Rainfall data
Ordinary kriging
Ordinary cokriging
Homogeneous zones
Description: Spatio-temporal modelling is an area of increasing importance in which models and methods have often been developed to deal with specific applications. In this study, a spatio-temporal model was used to estimate daily rainfall data. Rainfall records from several weather stations, obtained from the Agritempo system for two climatic homogeneous zones, were used. Rainfall values obtained for two fixed dates (January 1 and May 1, 2012) using the spatio-temporal model were compared with the geostatisticals techniques of ordinary kriging and ordinary cokriging with altitude as auxiliary variable. The spatio-temporal model was more than 17% better at producing estimates of daily precipitation compared to kriging and cokriging in the first zone and more than 18% in the second zone. The spatio-temporal model proved to be a versatile technique, adapting to different seasons and dates.
NAL Thesaurus: Models
Meteorological data
Kriging
Data Created: 2016-07-05
Appears in Collections:Artigo em periódico indexado (CNPTIA)

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