@InProceedings{BiscaroRodr:2006:PaMiSt,
               author = "Biscaro, Thiago Souza and Rodriguez, Augusto Morales",
          affiliation = "Instituto Nacional de Pesquisas Espaciais (INPE), Centro de 
                         Previs{\~a}o de Tempo e Estudos Clim{\'a}ticos (CPTEC) and 
                         Departamento de Ci{\^e}ncias Atmosf{\'e}ricas , Instituto de 
                         Astronomia, Geof{\'{\i}}sica e Ci{\^e}ncias Atmosf{\'e}ricas 
                         da Universidade de S{\~a}o Paulo",
                title = "USPROB - a passive microwave statistical algorithm for rainfall 
                         retrieval over the Amazon basin",
            booktitle = "Proceedings...",
                 year = "2006",
         organization = "Congresso Brasileiro de Meteorologia, 14. (CBMET).",
            publisher = "SBMET",
             keywords = "USPROB, TRMM Microwave Imager (TMI).",
             abstract = "We present a new algorithm to estimate rainfall over the Amazon 
                         Basin region using the TRMM Microwave Imager (TMI). The algorithm 
                         was validated using the TRMM Precipitation Radar (PR) surface 
                         rainfall data, and comparisons with others well known methods are 
                         also presented. It is shown that the formulation proposed is more 
                         efficient and more compatible with the physics and dynamics of the 
                         observed systems over the area of interest than the other methods 
                         tested. Neste trabalho apresentamos um novo algoritmo para 
                         estimativa de precipita{\c{c}}{\~a}o sobre a Bacia 
                         Amaz{\^o}nica usando o TRMM Microwave Imager (TMI). O algoritmo 
                         foi validado usando os dados de taxa de precipita{\c{c}}{\~a}o 
                         {\`a} superf{\'{\i}}cie do TRMM Precipitation Radar (PR) e 
                         compara{\c{c}}{\~o}es com outros m{\'e}todos conhecidos 
                         tamb{\'e}m s{\~a}o apresentadas. Mostramos que a 
                         formula{\c{c}}{\~a}o proposta {\'e} mais eficiente e 
                         compat{\'{\i}}vel com a f{\'{\i}}sica e a din{\^a}mica dos 
                         sistemas observados sobre a regi{\~a}o de interesse do que os 
                         outros m{\'e}todos.",
  conference-location = "Florian{\'o}polis, SC",
      conference-year = "Nov.27 - 01 Dec.",
           copyholder = "SID/SCD",
             language = "pt",
         organisation = "Coordenadora Geral do Congresso - Maria Gertrudes Alvarez Justi 
                         (presidente da SBMET)",
           targetfile = "Biscaro.USPROB.pdf",
        urlaccessdate = "25 abr. 2024"
}