@InProceedings{NaccaratoAlbrPint:2011:MoVaCl,
author = "Naccarato, Kleber Pinheiro and Albrecht, Rachel Ifanger and Pinto,
Osmar",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Monthly variations of cloud-to-ground lighting in Brazil based on
high-resolution lightning image sensor (LIS) data",
booktitle = "Proceedings...",
year = "2011",
organization = "International Conference on Atmospheric Electricity, 14.",
keywords = "Lighting, Imaging Sensor Data.",
abstract = "Brazil is a very large country that extends southbound from the
equatorial to the subtropical zone (more precisely from latitude
6°N to 33°S). Thus, it is expected that different meteorological
systems act in different regions of the country affecting the
cloud-to-ground (CG) lighting activity throughout the year. Based
on 13 years of LIS measurements (1998-2010) at a 0.1º resolution,
it was assessed the monthly variation of the lightning activity
over the five macro-regions of Brazil (North, Northeast, Midwest,
Southeast and South). This CG flash rate densities (FRD) are then
associated to the frequency of occurrence of meteorological
systems and to the monthly variations of precipitation in order to
verify possible correlations between lightning and rainfall and
their association to meteorological systems. The concept of rain
yield per flash was used to assess the convection regimes. It was
found that precipitation and lightning activity at these regions
were well correlated to the known meteorological systems of each
region. Moreover, the rain yield per flash monthly variation and
overall mean were able to capture the physical nature of these
systems, such as deeper convection (like MCS) or more stratiform
precipitation (like the SACZ).",
conference-location = "Rio de Janeiro",
conference-year = "2011",
label = "lattes: 7258266163150929 2 NaccaratoAlbrPint:2011:MoVaOf",
language = "en",
targetfile = "K.Naccarato - Monthly variations of cloud-to-ground lighting
activity in Brazil based on high-resolution lightning image
sensor.pdf",
urlaccessdate = "11 maio 2024"
}