Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1048254
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dc.contributor.authorCARVALHO, J. R. P. dept_BR
dc.contributor.authorNAKAI, A. M.pt_BR
dc.contributor.authorMONTEIRO, J. E. B. A.pt_BR
dc.date.accessioned2016-07-05T11:11:11Zpt_BR
dc.date.available2016-07-05T11:11:11Zpt_BR
dc.date.created2016-07-05pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationRevista Brasileira de Meteorologia, São Paulo, v. 31, n. 2, p. 196-201, Apr./June 2016.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1048254pt_BR
dc.descriptionSpatio-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.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectModelos espaço-temporalpt_BR
dc.subjectDados de precipitaçãopt_BR
dc.subjectKrigagem ordináriapt_BR
dc.subjectCokrigagem ordináriapt_BR
dc.subjectZonas homogêneaspt_BR
dc.subjectSistema Agritempopt_BR
dc.subjectSpatio-temporal modelpt_BR
dc.subjectRainfall datapt_BR
dc.subjectOrdinary krigingpt_BR
dc.subjectOrdinary cokrigingpt_BR
dc.subjectHomogeneous zonespt_BR
dc.titleSpatio-temporal modeling of data imputation for daily rainfall series in homogeneous zones.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-03-17T11:11:11Zpt_BR
dc.subject.nalthesaurusModelspt_BR
dc.subject.nalthesaurusMeteorological datapt_BR
dc.subject.nalthesaurusKrigingpt_BR
riaa.ainfo.id1048254pt_BR
riaa.ainfo.lastupdate2017-03-17pt_BR
dc.identifier.doihttp://dx.doi.org/10.1590/0102-778631220150025pt_BR
dc.contributor.institutionJOSÉ RUY PORTO DE CARVALHO, CNPTIA; ALAN MASSARU NAKAI, CNPTIA; JOSE EDUARDO B DE ALMEIDA MONTEIRO, CNPTIA.pt_BR
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