@InProceedings{NogueiraLopVieOliJes:2015:EsPrUt,
               author = "Nogueira, Daniele Santos and Lopes, M{\'a}rcio Nirlando and 
                         Vieira, Alen Costa and Oliveira, Rennon Gabriel Gomes de and 
                         Jesus, Nilzele de Vilhena Gomes",
                title = "Estimativa de precipita{\c{c}}{\~a}o utilizando radar 
                         meteorol{\'o}gico banda S na Amaz{\^o}nia Oriental",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4891--4897",
         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 = "More accurate estimates of precipitation using radar data are 
                         essential for the use in hydrological models and for the 
                         efficiency in the emission of weather alerts based upon 
                         nowcasting. Meteorological S-band radar data have been used to 
                         estimate precipitation in selected points of the radar area, 
                         corresponding to the locations of rain gauges, installed in the 
                         automatic meteorological stations of Camet{\'a}, 
                         Tom{\'e}-A{\c{c}}u and Soure,. This study has been developed for 
                         the period of July of 2014, which is climatologically considered a 
                         month of transition between the wet season and the dry season of 
                         the Eastern Amazon region. The comparison between radar data and 
                         rain gauge data has been carried out in order to verify the 
                         suitability of Marshall-Palmer (MP) Z-R relationship for this 
                         region and to calibrate a new Z-R relationship for this radar, 
                         considering the ones performed in previous studies, such as the 
                         one for tropical rain, for convective precipitation and for rain 
                         from a thunderstorm. It was possible to verify that the MP Z-R 
                         relationship underestimated the rain for this period. In addition, 
                         the convective Z-R relationship, which has been tested for these 
                         data, seemed to be the most suitable for this region in this time 
                         of the year.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "956",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4DCM",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4DCM",
           targetfile = "p0956.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "11 maio 2024"
}