@InProceedings{MiguelRennBert:2017:AnCoEs,
               author = "Miguel, Barbara Hass and Renn{\'o}, Camilo Daleles and 
                         Bertoncini, Andr{\'e} Luis da Silva",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise comparativa entre estimativas de 
                         precipita{\c{c}}{\~a}o do GPM e de esta{\c{c}}{\~o}es 
                         pluviom{\'e}tricas no Vale do Itaja{\'{\i}}- Santa 
                         Catarina/Brasil",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3130--3137",
         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 = "Rainfall is one of the main components of the hydrological cycle, 
                         and most of the activities related to water management need 
                         assessments of the amount of rainfall that occurred on the 
                         watersheds. However, rainfall is the weather variable that has the 
                         greatest spatiotemporal variability among other variables 
                         considered in hydrological studies. In recent decades, there has 
                         been an increase of remote sensing use for estimating rainfall in 
                         a given area, allowing the calculation of rainfall estimates in 
                         areas where the data from the rainfall stations are scarce or 
                         unevenly distributed. This study evaluates interpolation methods 
                         for precipitation recorded by rainfall gauges in the 
                         Itaja{\'{\i}} Mirim and Itaja{\'{\i}} do Sul watersheds, in 
                         Santa Catarina State, Brazil, basins known to the high rainfall 
                         rates. In addition, it analyzes the GPM product behavior in 
                         relation to measurements recorded by rain gauges in the same study 
                         area, for October 2015. This analysis was the inference of 
                         systematic error (bias) of rainfall interpolated from gauge 
                         stations based on GPM estimates. The results indicate that 
                         estimates of rainfall provided by GPM are consistent both in 
                         spatial and temporal scale. The combination of the two approachs 
                         of estimating rainfall can assist in the generation of consisted 
                         and reliable rainfall database for future studies.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59277",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLSB9",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSB9",
           targetfile = "59277.pdf",
                 type = "Hidrologia",
        urlaccessdate = "28 abr. 2024"
}