Spatio-temporal modeling of data imputation for daily rainfall series in homogeneous zones.

• Autor(a) principal: CARVALHO, J. R. P. de
• Data de Publicação: 2016
• Outros Autores: NAKAI, A. M., MONTEIRO, J. E. B. A.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
• Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1048254; http://dx.doi.org/10.1590/0102-778631220150025
• topic: 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; Models; Meteorological data; Kriging

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.