@InProceedings{FariasAraJúnSanBar:2013:AbCl,
               author = "Farias, Sylvia Elaine Marques de and Arantes, Arielle Elias and 
                         J{\'u}nior, Laerte Guimar{\~a}es Ferreira and Sano, Edson Eyji 
                         and Barros, Juliana Ramalho",
                title = "Avalia{\c{c}}{\~a}o das Estimativas de Precipita{\c{c}}{\~a}o 
                         do sat{\'e}lite TRMM para o Estado de Goi{\'a}s: uma abordagem 
                         climatol{\'o}gica",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "1938--1944",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Precipitation is one of the most important climatological 
                         parameters regarding the socio-economic well-being of a region, 
                         although it is one of the most difficult parameter to measure due 
                         to its high spatial-temporal variability. In fact, ground 
                         precipitation stations in Brazil are few and badly distributed, 
                         particularly in the northern and central regions of Brazil, and as 
                         such, satellite data can prove to be instrumental. Within this 
                         context, this study seeks to evaluate the accumulated monthly 
                         precipitation data obtained from the satellite TRMM (algorithm 
                         3B43), comparatively to ground station data obtained from ANA 
                         (National Water Agency) for the state of Goi{\'a}s, for the 
                         period of 2000 to 2007. For that, precipitation data from TRMM was 
                         extracted over each ground station and a mean accumulated monthly 
                         precipitation was obtained for each year from 2000 to 2007 and for 
                         each source (satellite and ground data). The analyses showed that 
                         the estimated satellite rainfall data accompanied well the 
                         variation in rainfall, according to the climate of Goi{\'a}s. The 
                         correlations between monthly precipitations were higher for the 
                         intermediary months in the rainy period (October to April) (r = 
                         0,80 for February) and for the dry period (May to September) (r = 
                         0,85 in July). An annual analysis showed that the year 2006 was 
                         atypical. For each year and for most months of the year, with the 
                         exception of January, the data from TRMM tended to superestimate 
                         the precipitation amount over Goi{\'a}s.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "1015",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GHGD",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GHGD",
           targetfile = "p1015.pdf",
                 type = "Atmosfera",
        urlaccessdate = "05 maio 2024"
}