Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/915439
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dc.contributor.authorHAMADA, E.pt_BR
dc.contributor.authorMAIA, A. de H. N.pt_BR
dc.contributor.authorGHINI, R.pt_BR
dc.contributor.authorTHOMAZ, M. C.pt_BR
dc.contributor.authorGONÇALVES, R. R. V.pt_BR
dc.contributor.authorLANA, J. T. de O.pt_BR
dc.contributor.authorALMEIDA, E. G. dept_BR
dc.date.accessioned2012-02-14T11:11:11Zpt_BR
dc.date.accessioned2012-02-14T11:11:11Zpt_BR
dc.date.available2012-02-14T11:11:11Zpt_BR
dc.date.available2012-02-14T11:11:11Zpt_BR
dc.date.created2012-02-14pt_BR
dc.date.issued2011pt_BR
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011. 1 CD ROM.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/915439pt_BR
dc.descriptionGlobal climatic models (GCM) are considered the best tool to project climate change scenarios, despite their uncertainties. Projections for each region are different and vary among seasons. The aim of this study was to evaluate projections of precipitation from 15 GCMs provided by the IPCC-AR4 at Southeastern Brazil for 2071-2100 period, scenario A2. A geographic database has been structured with projected climate data and the observed data obtained from the Climate Research Unit. Principal component and cluster analysis were applied for grouping models with similar performance, based on bias rainfall projections, after bias correction. Models were clusterd accordingly to spatial similarity of projections, for each season. Spatial similarities varied among seasons.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectSIGpt_BR
dc.subjectAnálise de agrupamento hierárquicopt_BR
dc.titleAvaliação da precipitação projetada pelos modelos climáticos globais para o Sudeste do Brasil utilizando SIG.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2012-02-14T11:11:11Zpt_BR
dc.subject.thesagroClimatologiapt_BR
dc.subject.thesagroMudança Climáticapt_BR
dc.subject.nalthesaurusClimate changept_BR
dc.subject.nalthesaurusCluster analysispt_BR
dc.subject.nalthesaurusGeographic information systemspt_BR
riaa.ainfo.id915439pt_BR
riaa.ainfo.lastupdate2012-02-14pt_BR
dc.contributor.institutionEMILIA HAMADA, CNPMA; ALINE DE HOLANDA NUNES MAIA, CNPMA; RAQUEL GHINI, CNPMA; MARÍLIA CAMPOS THOMAZ, UNICAMP; RENATA RIBEIRO DO VALLE GONÇALVES, UNICAMP; JOSE TADEU DE OLIVEIRA LANA, CNPMA; ELIAS GOMES DE ALMEIDA, CNPMA.pt_BR
Aparece nas coleções:Artigo em anais de congresso (CNPMA)

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