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@InProceedings{AlvesSarCamPinAnt:2014:LoAcEv,
               author = "Alves, J{\'e}ferson and Saraiva, Antonio Carlos Varela and 
                         Campos, Leandro Zanella de Souza and Pinto Jr., Osmar and Antunes, 
                         Larissa",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Location accuracy evaluation of lightning location systems using 
                         natural lightning flashes recorded by a network of high-speed 
                         cameras",
            booktitle = "Proceedings...",
                 year = "2014",
         organization = "International Conference on Atmospheric Electricity, 15. (ICAE).",
                 note = "Informa{\c{c}}{\~o}es Adicionais: This work presents a 
                         preliminary method for the evaluation of location accuracy of all 
                         Lightning Location System (LLS) in operation in southeastern 
                         Brazil (e.g. BrasilDAT, RINDAT, StarNet, WWLLN, GLD360), using 
                         natural cloud-to-ground (CG) lightning flashes. This can be done 
                         through a multiple high-speed cameras network (RAMMER network) 
                         installed in the Paraiba Valley region SP Brazil. The RAMMER 
                         network (Automated Multi-camera Network for Monitoring and Study 
                         of Lightning) is composed by four high-speed cameras operating at 
                         2,500 frames per second. Three stationary black-and-white (B\&W) 
                         cameras were situated in the cities of S{\~a}o Jos{\'e} dos 
                         Campos and Ca{\c{c}}apava. A fourth color camera was mobile 
                         (installed in a car), but operated in a fixed location during the 
                         observation period, within the city of S{\~a}o Jos{\'e} dos 
                         Campos. The average distance among cameras was 13 kilometers. Each 
                         RAMMER sensor position was determined so that the network can 
                         observe the same lightning flash from different angles and all 
                         recorded videos were GPS (Global Position System) time stamped, 
                         allowing comparisons of events between cameras and the LLS. The 
                         RAMMER sensor is basically composed by a computer, a Phantom 
                         high-speed camera version 9.1 and a GPS unit. The lightning cases 
                         analyzed in the present work were observed by at least two 
                         cameras, their position was visually triangulated and the results 
                         compared with BrasilDAT network, during the summer seasons of 
                         2011/2012 and 2012/2013. The visual triangulation method is 
                         presented in details. The calibration procedure showed an accuracy 
                         of 9 meters between the accurate GPS position of the object 
                         triangulated and the result from the visual triangulation method. 
                         Lightning return stroke positions, estimated with the visual 
                         triangulation method, were compared with LLS locations. 
                         Differences between solutions were not greater than 1.8 km..",
             keywords = "Lightning, High-speed video, Lightning Location System, 
                         Atmospheric Electricity.",
             abstract = "This work presents a preliminary method for the evaluation of 
                         location accuracy of all Lightning Location System (LLS) in 
                         operation in southeastern Brazil (e.g. BrasilDAT, RINDAT, StarNet, 
                         WWLLN, GLD360), using natural cloud-to-ground (CG) lightning 
                         flashes. This can be done through a multiple high-speed cameras 
                         network (RAMMER network) installed in the Paraiba Valley region SP 
                         Brazil. The RAMMER network (Automated Multi-camera Network for 
                         Monitoring and Study of Lightning) is composed by four high-speed 
                         cameras operating at 2,500 frames per second. Three stationary 
                         black-and-white (B\&W) cameras were situated in the cities of 
                         S{\~a}o Jos{\'e} dos Campos and Ca{\c{c}}apava. A fourth color 
                         camera was mobile (installed in a car), but operated in a fixed 
                         location during the observation period, within the city of 
                         S{\~a}o Jos{\'e} dos Campos. The average distance among cameras 
                         was 13 kilometers. Each RAMMER sensor position was determined so 
                         that the network can observe the same lightning flash from 
                         different angles and all recorded videos were GPS (Global Position 
                         System) time stamped, allowing comparisons of events between 
                         cameras and the LLS. The RAMMER sensor is basically composed by a 
                         computer, a Phantom high-speed camera version 9.1 and a GPS unit. 
                         The lightning cases analyzed in the present work were observed by 
                         at least two cameras, their position was visually triangulated and 
                         the results compared with BrasilDAT network, during the summer 
                         seasons of 2011/2012 and 2012/2013. The visual triangulation 
                         method is presented in details. The calibration procedure showed 
                         an accuracy of 9 meters between the accurate GPS position of the 
                         object triangulated and the result from the visual triangulation 
                         method. Lightning return stroke positions, estimated with the 
                         visual triangulation method, were compared with LLS locations. 
                         Differences between solutions were not greater than 1.8 km.",
  conference-location = "Norman",
      conference-year = "15-20 jun. 2014",
                label = "lattes: 4161737266837399 3 AlvesSarCamPinAnt:2014:LoAcEv",
             language = "en",
           targetfile = "Alves_8alves.pdf",
                  url = "http://www.nssl.noaa.gov/users/mansell/icae2014/preprints/Alves_8.pdf",
        urlaccessdate = "18 jan. 2021"
}


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