@InProceedings{NaccaratoPint:2011:SpAn,
author = "Naccarato, Kleber Pinheiro and Pinto Junior, Osmar",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Cloud-to-ground lightning characteristics in Southern and
Southeastern Brazil: spatial analysis",
booktitle = "Proceedings...",
year = "2011",
organization = "International Conference on Atmospheric Electricity, 14.",
keywords = "Lightning Image Sensor (LIS).",
abstract = "After the integration of three regional lightning detection
networks (SIDDEM and RINDAT) in June 2005, the Brazilian lightning
detection network (BrasilDAT) covered almost 50% of Brazil except
to the Amazon basin and the Northeastern Brazil. For the last 6
years (2005-2010), the BrasilDAT network has been detecting
cloud-to-ground (CG) lightning flashes over the mid-southern part
of Brazil with relative high accuracy (estimated average detection
efficiency of 80% and average location accuracy of less than 1km).
In this paper, the CG lightning distribution in Southern and
Southeastern Brazil will be presented based on the 6-year data
from BrasilDAT. Furthermore, detection efficiency (DE) corrections
were provided to compensate variations due to sensor faults or
changes in network geometry. There is evidences that the
topography and the occurrence of frontal systems (which are common
in the Southeastern Brazil) are responsible for the spatial
distribution of the CG flashes observed. The increase in the
number of CG flashes observed in the central-southern Paran{\'a}
and western Rio Grande do Sul might be related to the occurrence
of Mesoscale Convective Systems (MCS) which are very large
time-persistent meteorological systems characterized by high CG
flash rates.",
conference-location = "Rio de Janeiro",
conference-year = "08-12 Aug",
label = "self-archiving-INPE-MCTI-GOV-BR",
language = "en",
targetfile = "K.Naccarato - Cloud-to-ground lightning characteristics in
Southern and Southeastern Brazil spatial analysis.pdf",
urlaccessdate = "11 maio 2024"
}