@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 = "26 abr. 2024"
}