@InProceedings{FonsecaAndAraShiAra:2017:AcAsNe,
               author = "Fonseca, Marisa Gesteira and Anderson, Liana Oighenstein and Arai, 
                         Egidio and Shimabukuro, Yosio Edemir and Arag{\~a}o, Luiz Eduardo 
                         Oliveira e Cruz de",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Accuracy assessment of the near-real-time rainfall data from the 
                         Integrated Multisatellite Retrievals for GPM (IMERG) in the 
                         Roraima State",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4056--4062",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The strong El Niņo Southern Oscillation event that occurred in 
                         2015/2016 caused extreme drought in the northern Brazilian Amazon, 
                         especially in the Roraima state, increasing fire occurrence. In 
                         order to assess the adequacy of the recently released IMERG 
                         (Integrated Multi-satellite Retrievals for GPM) precipitation data 
                         to be used in fire modelling, we estimate the accuracy of the 
                         late-run near-real-time IMERG product compared to the 3B43 product 
                         of the Tropical Rainfall Measuring Mission and to rain gauge data 
                         in Roraima. The IMERG precipitation data showed high accuracy when 
                         compared with rain gauge measurements. During the dry season, 
                         monthly precipitation estimated using IMERG showed a difference 
                         from -10 mm up to +30 mm compared to 3B43 data over ~75% of the 
                         Roraima state. During the rainy season, 49.9% of the grid cells 
                         (186) showed from -30 to +30 mm difference between IMERG and 3B43 
                         monthly precipitation and negative differences (IMERG < 3B43) were 
                         found in a larger area of the state compared to the dry season. We 
                         found a systematic underestimation of precipitation up to 120 mm 
                         month-1 in the late-run near-real-time IMERG data compared to 3B43 
                         in the region of Roraima state located south of equator in both 
                         dry and rainy seasons. We conclude that the late-run 
                         near-real-time IMERG product is suitable for our purpose of 
                         modelling fire probability in Roraima, although careful should be 
                         taken in interpreting the results from south of the equator. As 
                         more IMERG data become available, further studies should 
                         investigate whether the patterns we observed are consistent over 
                         time.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60098",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM2EB",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM2EB",
           targetfile = "60098.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "27 abr. 2024"
}