@InProceedings{SantosRoliRibeSant:2015:AvUsDa,
               author = "Santos, Fl{\'a}vio Augusto Altieri dos and Rolim, Pedro Alberto 
                         Moura and Ribeiro, Nath{\'a}lia Caroline Cordovil and Santos, 
                         Erika Maia",
                title = "Avalia{\c{c}}{\~a}o do uso de dados de precipita{\c{c}}{\~a}o 
                         gerados pelo CPC/NCEP na modelagem hidrol{\'o}gica em uma 
                         regi{\~a}o hidrogr{\'a}fica do rio Araguaia",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1601--1608",
         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 = "Hydrological models are essential for management actions and 
                         planning of water resources. The process of transformation of 
                         rainfall flow in a simplified form and is widely used to model the 
                         behavior of the hydrological basin. The lack of data in many 
                         regions of the country, especially in the Amazon, limits the 
                         development of study for this purpose. Thus, the use of rainfall 
                         data provided by the Climate Prediction Center (CPC) / National 
                         Centers for Environmental Prediction (NCEP) may become an 
                         alternative for the hydrological modeling of watersheds. In this 
                         study, we sought to evaluate through statistical analysis the 
                         correlation between the data of monthly flows observed and 
                         calculated from the rains of CPC / NCEP and application in a 
                         hydrological model of the empirical kind for a sub-basin of the 
                         Araguaia River. The results showed that the hydrological model 
                         evaluated performed well for calibration and validation, thus 
                         validating the use of data from CPC / NCEP in hydrologic 
                         forecasting.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "302",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM495F",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM495F",
           targetfile = "p0302.pdf",
                 type = "Hidrologia",
        urlaccessdate = "04 jun. 2024"
}