@InProceedings{MattosMach:2011:MoClLi,
               author = "Mattos, Enrique Vieira and Machado, Luiz Augusto Toledo de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "A Model for Cloud-to-Ground Lightning Nowcasting Using Infrared 
                         Satellite Images",
            booktitle = "Anais...",
                 year = "2011",
         organization = "International Conference on Atmospheric Electricity, 14.",
             abstract = "This work evaluates and characterizes some physical properties of 
                         Mesoscale Convective System (MCS) associate the cloud-to-ground 
                         (CG) lightning occurrence and proper an electrical activity 
                         nowcasting method. Satellite data from the GOES-10 infrared 
                         channel and CG lightning information from the BrasilDat were 
                         utilized for the period from 2007 to 2009 over an area centered in 
                         the S{\~a}o Paulo state. The brightness temperature was 
                         assimilated by ForTracCC model whose determined the MCS physical 
                         properties and later were coupled with CG lightning information. 
                         MCS 16,520 was tracking and identified through this method and it 
                         was associated with 951,359 CG lightning occurrences. The 
                         multivariate analyses and dispersion relation showed that MCS 
                         size, minimum temperature and normalized expansion rate (with 
                         Pearsons correlation of the 0.97, 0.78 and 0.31, respectively for 
                         a significance level of 0.01) are proprieties most strongly 
                         correlated with CG lightning occurrence. These results suggest 
                         that stronger max flux combined with lowers temperature during 
                         system maturation period are important factors for clouds 
                         electrification. Therefore was obtained a multiple regression 
                         parameterization that combined these three variables. The 
                         validation statistics showed high detection probability above 95 % 
                         and false alarm rate below 43 % in order to diagnostic and 
                         nowcasting until 120 minutes. In other hand, the nowcasting tends 
                         sub-estimate the CG lighting occurrence within of reasonable 
                         range.",
  conference-location = "Rio de Janeiro",
      conference-year = "08-12 Aug",
                label = "lattes: 8010078550088178 1 MattosMach:2011:AMoFo",
             language = "pt",
           targetfile = "Mattos_A Model for.pdf",
        urlaccessdate = "27 abr. 2024"
}