author = "Saraiva, A. V. and Pinto, O. and Santos, H. H. and Saba, M. M.",
          affiliation = "Spacial Geophysics, INPE, Sao Jose Dos Campos, Brazil and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and Spacial 
                         Geophysics, INPE, Sao Jose Dos Campos, Brazil and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Development of a High Speed Camera Network to Monitor and Study 
                         Lightning (Project RAMMER)",
            booktitle = "Resumos...",
                 year = "2010",
         organization = "American Geophysical Union Fall Meeting.",
             keywords = "[3304] ATMOSPHERIC PROCESSES / Atmospheric electricity, [3394] 
                         ATMOSPHERIC PROCESSES / Instruments and techniques.",
             abstract = "his work proposes the development and applications of a network of 
                         high speed cameras for observation and study of lightning flashes. 
                         Four high-speed cameras are being acquired to be part of the 
                         RAMMER network. They are capable to record high resolution videos 
                         up to 1632 x 1200 pixels at 1000 frames per second. A robust 
                         system is being assembled to ensure the safe operation of the 
                         cameras in adverse weather conditions and enable the recording of 
                         a large number of lightning flashes per storm, larger than the 
                         values reported to date. As the amount of physical memory to 
                         record only 1 second of data is something like 3 - 4 GBytes, there 
                         is no way to make long recordings of thunderstorms, so a 
                         triggering system was conceived to address this problem and do the 
                         recordings of 2 seconds of data automatically for each lightning 
                         flash. The triggering system is an optical/electromagnetic system 
                         that is being tested since September/2010 and the whole system is 
                         under testing yet. This lightning information from the video 
                         recordings will be correlated with data from the sensors of the 
                         Brazilian Lightning Detection Network (BrasilDAT), from a network 
                         of electric field fast antennas, slow electric field antennas and 
                         Field-Mills, as well as with data from the LMA (Lightning Mapping 
                         Array) to be installed in 2011 in the cities of Sao Paulo and Sao 
                         Jose dos Campos. The following objectives are envisaged: a) make 
                         the first three-dimensional reconstructions of the lightning 
                         channel with high speed cameras and verify its dependence on the 
                         physical conditions associated with each storm; b) to observe 
                         almost all CG lightning flashes of a single storm cloud in order 
                         to compare the physical characteristics of the CG lightning 
                         flashes for different storms and their dependence on physical 
                         conditions associated with each storm; c) evaluate the performance 
                         of the new sensors of BrasilDAT network in different localities 
                         and simultaneously. The schematics of the sensors will be shown 
                         here, with statistics of the first results of of the triggering 
                         system accuracy, pictures and the first lightning recordings of 
                         the observation sites. The main objectives will be also discussed 
                         in more details.",
                label = "self-archiving-INPE-MCTIC-GOV-BR",
             language = "en",
           targetfile = "saraiva_development.pdf",
        urlaccessdate = "15 jan. 2021"