@InProceedings{FerroYamPimNacSab:2011:ElFiNe,
               author = "Ferro, Marco Antonio da Silva and Yamasaki, Jorge and Pimentel, 
                         Douglas Roberto de Matos and Naccarato, Kleber Pinheiro and Saba, 
                         Marcelo Magalh{\~a}es Fares",
          affiliation = "Institute of Aeronautics and Space (IAE) – Atmospheric Science 
                         Division S.J. Campos, S{\~a}o Paulo and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and Institute of Aeronautics and Space 
                         (IAE) – Atmospheric Science Division S.J. Campos, S{\~a}o Paulo 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An electric field-mill network in southeastern Brazil foi 
                         lightning warnings",
                 year = "2011",
         organization = "International Conference on Atmospheric Electricity, 14.",
             keywords = "Lightning, Weather radar information, Lightning warning systems.",
             abstract = "Several works deal with lightning warning methods developed from 
                         CG lightning locations systems (LLS) [Murphy and Cummins, 2000; 
                         Murphy, Demetriades and Cummins, 2002; Holle, Murphy and Lopez, 
                         2003]. Additionally, other particular works combine total 
                         lightning with weather radar information in an effort to improve 
                         the accuracy of lightning threat alarms [Murphy and Holle, 2005; 
                         2006]. Finally, some recent studies presented automated lightning 
                         warning systems as a combination of lightning detection 
                         information and data from one or more electric field mills (EFMs) 
                         [Murphy, Holle and Demetriades, 2008; Murphy and Cummins, 2000; 
                         Montanya et al., 2008; Beasley, Williams and Hyland, 2008]. These 
                         studies had shown that the EFM measurements are strongly affected 
                         by the local characteristics where it was installed (for example 
                         the cloud charge center height in that region, the topography, 
                         etc.). Thus, the effectiveness of lightning warning methods using 
                         electric field data changes from one region to another. It is 
                         important to note that all these past studies took place in the 
                         Northern hemisphere. This paper presents the characteristics of an 
                         EFM network that is being installed in the South hemisphere, 
                         particularly in Southeastern Brazil (Figure 1). It is also 
                         presented the proposed methodology to generate lightning risk 
                         warning in order to evaluate how the atmospheric electric field 
                         data can be used to support the decision-making process for 
                         issuing a lightning risk warning.",
  conference-location = "Rio de Janeiro",
      conference-year = "08-12 Aug",
                label = "self-archiving-INPE-MCTI-GOV-BR",
             language = "en",
           targetfile = "M. Ferro - An Electric Field-Mill Network in Southeastern Brazil 
                         for Lightning Warnings.pdf",
        urlaccessdate = "12 maio 2024"
}