@InProceedings{QuirinoCasPerOliAlm:2015:AvEsPr,
               author = "Quirino, Dayanna Teodoro and Casaroli, Derblai and Pereira, 
                         Rodrigo Moura and Oliveira, R{\^o}mulo Augusto Juc{\'a} and 
                         Almeira, Rherison Tyrone Silva",
          affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Avalia{\c{c}}{\~a}o das estimativas de precipita{\c{c}}{\~a}o 
                         do sat{\'e}lite TRMM (algoritmo 3B42 Vers{\~a}o 7 e Real Time) 
                         utilizadas no balan{\c{c}}o h{\'{\i}}drico climatol{\'o}gico 
                         no Estado de Goi{\'a}s",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5094--5101",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The knowledge of the water balance is crucial in agricultural 
                         production, as it allows to determine the hydrological regime of a 
                         site and monitor the change in water storage in the soil. One of 
                         the most important factors in the water balance is rainfall and 
                         this variable has a very wide variation timeline. Another factor 
                         accentuates this problem is the lack of adequate rainfall network. 
                         An alternative to solve these problems is the use of remote 
                         sensing data. The Tropical Rainfall Measuring Mission satellite 
                         has TRMM instruments for rainfall estimates, but studies are 
                         needed to validate these data are. Given the circumstances this 
                         study sought to examine the quality of data from TRMM satellite, 
                         apply them in water balance to determine their behavior in 
                         relation to the acquired data on rainfall station in the cities of 
                         Aragar{\c{c}}as, Catalan and Formosa in the state of Goi{\'a}s 
                         from January to December 2013 data from the rainfall station along 
                         with the satellite data TRMM 3B42 products V_7 and real time 
                         statistical calculations were submitted by the linear correlation 
                         coefficient, average error, root mean square error and index of 
                         agreement and calculating the climatic water balance proposed by 
                         Thornthwaite and Mather method was used. After statistical 
                         analysis of the data we can see that the products of the TRMM 
                         satellite provided a satisfactory estimate in the application of 
                         water balance in the city studied the state of Goi{\'a}s.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1000",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4DK7",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4DK7",
           targetfile = "p1000.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "27 abr. 2024"
}