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@Article{MaginaPintNacc:2016:AtElFi,
               author = "Magina, Fl{\'a}vio de Carvalho and Pinto J{\'u}nior, Osmar and 
                         Naccarato, Kleber Pinheiro",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Atmospheric electric field sensors network integration in Brazil",
              journal = "IEEE Latin America Transactions",
                 year = "2016",
               volume = "14",
               number = "7",
                pages = "3056--3064",
                month = "July",
             keywords = "Atmospheric electric field, EFM sensor, electric field mill 
                         sensor, lightning warning system.",
             abstract = "This paper presents the integration details of an operational 
                         Atmospheric Electric Field Mill Sensor (EFM) Network for 
                         standardized and continuous operation in the region of Sa{\~o} 
                         Jos{\'e} dos Campos, State of Sa{\~o} Paulo, Brazil, in order to 
                         collect and transmit real time data for studies of atmospheric 
                         electric field and support the development of a Lightning Warning 
                         System (LWS). Data collection equipments, including EFM sensors 
                         from different manufacturers, datalogger, telecommunication by 3G 
                         cellular modem and solar power energy subsystems and software were 
                         integrated. A set of graphs obtained by interpolating real time 
                         data collected by the integrated EFM network combined with 
                         lightning location data detected by the Brazilian Lightning 
                         Detection System (BrasilDAT) is also presented.",
                  doi = "10.1109/TLA.2016.7587602",
                  url = "http://dx.doi.org/10.1109/TLA.2016.7587602",
                 issn = "1548-0992",
             language = "en",
           targetfile = "magina_atmospheric.pdf",
        urlaccessdate = "27 nov. 2020"
}


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