Data/hora: 04/06/2024 07:59:54

Biblioteca(s): 	Embrapa Agricultura Digital.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	B - 1	
Data corrente: 	21/12/2017	
Data da última atualização: 	21/12/2017	
Autoria: 	CARVALHO, J. R. P. de; MONTEIRO, J. E. B. de A.; NAKAI, A. M.; ASSAD, E. D.	
Afiliação: 	JOSE RUY PORTO DE CARVALHO, CNPTIA; JOSE EDUARDO B DE ALMEIDA MONTEIRO, CNPTIA; ALAN MASSARU NAKAI, CNPTIA; EDUARDO DELGADO ASSAD, CNPTIA.	
Título: 	Model for multiple imputation to estimate daily rainfall data and filling of faults.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	Revista Brasileira de Meteorologia, São Paulo, v. 32, n. 4, 575-583, Oct./Dec. 2017.	
DOI: 	http://dx.doi.org/10.1590/0102-7786324006	
Idioma: 	Inglês	
Notas: 	Na publicação: José Eduardo Boffinho Almeida Monteiro.	
Conteúdo: 	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.	
Palavras-Chave: 	Geoestatística; Homogeneous zones; Missing data; Model by multiple imputation; Modelagem por imputação múltipla; Ordinary Co-kriging; Ordinary kriging; Precipitação; Precipitation; Sistema Agritempo; Statistical inference.	
Thesaurus Nal: 	Geostatistics; Meteorological data.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/169478/1/AP-Model-rbmet.pdf	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (19540-1) - UPC - AP - DD -  -  -  - DIS