@InProceedings{OliveiraHamaLana:2011:TePrPr,
               author = "Oliveira, Bruno Silva and Hamada, Emilia and Lana, Jos{\'e} Tadeu 
                         de Oliveira",
          affiliation = "{Universidade Estadual de Campinas – UNICAMP/FEAGRI} and {Embrapa 
                         Meio Ambiente} and {Embrapa Meio Ambiente}",
                title = "Tend{\^e}ncia das proje{\c{c}}{\~o}es de 
                         precipita{\c{c}}{\~a}o dos modelos clim{\'a}ticos globais para 
                         o Brasil utilizando SIG",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3788--3795",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "climate models, geoprocessing, rainfall, modelos clim{\'a}ticos, 
                         geoprocessamento, precipita{\c{c}}{\~a}o pluvial.",
             abstract = "The 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.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A5HMEE",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A5HMEE",
           targetfile = "p1013.pdf",
                 type = "Geoprocessamento",
        urlaccessdate = "20 maio 2024"
}