Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/915447
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dc.contributor.authorOLIVEIRA, B. S.pt_BR
dc.contributor.authorHAMADA, E.pt_BR
dc.contributor.authorLANA, J. T. de O.pt_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.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/915447pt_BR
dc.descriptionThe reality of global climate changes creates the necessity of predicting how will be the climatic scenario in our planet and how it will affect the economic activities in the future. For some climatic variables the global climate models projections are similar, as in the case of temperature. But in the case of rainfall it does not happen, once the global climate models show different projections. This study aims to evaluate the rainfall projections tendency for Brazil and its regions according to global climate models, using GIS Idrisi 32. Fifteen global models were performed to compare the projection of future precipitation (2071 - 2100) of the emission scenario A2 of the IPCC Fourth Assessment Report with reference period data (1961 - 1990) of the Climate Research Unit (C.R.U). The results showed global climate models behavior differently for each brazilian region, indicating a tendency of rainfall increase in certain geographic areas and decrease in others. During the winter months there is a tendency of rainfall decrease, while during summer the tendency is the increase of rainfall, according to the global models evaluated. The results can be used as a base for the knowledge of global climate models behavior in future scenarios.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectModelos climáticospt_BR
dc.subjectGeoprocessamentopt_BR
dc.subjectSIGpt_BR
dc.subjectPrecipitationpt_BR
dc.titleTendência das projeções de precipitação dos modelos climáticos globais para o Brasil utilizando SIG.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2012-02-14T11:11:11Zpt_BR
dc.subject.thesagroPrecipitação pluvialpt_BR
dc.subject.nalthesaurusGeographic information systemspt_BR
dc.subject.nalthesaurusClimate modelspt_BR
riaa.ainfo.id915447pt_BR
riaa.ainfo.lastupdate2012-02-14pt_BR
dc.contributor.institutionBRUNO SILVA OLIVEIRA, UNICAMP; EMILIA HAMADA, CNPMA; JOSE TADEU DE OLIVEIRA LANA, CNPMA.pt_BR
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