@Article{ZepkaPintSara:2014:LiFoSo,
author = "Zepka, Gisele dos Santos and Pinto Junior, Osmar and Saraiva,
Antonio Carlos Varela",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Lightning forecasting in southeastern Brazil using the WRF model",
journal = "Atmospheric Research",
year = "2014",
volume = "135-136",
pages = "344–362",
month = "Jan.",
keywords = "lightning, WRF model, forecasting, parameterization, convection,
microphysics.",
abstract = "This paper introduces a lightning forecasting method called
Potential Lightning Region (PLR), which is the probability of the
occurrence of lightning over a region of interest. The PLR was
calculated using a combination of meteorological variables
obtained from high-resolution Weather Research and Forecasting
(WRF) model simulations during the summer season in southeastern
Brazil. The model parameters used in the PLR definition were:
surface-based Convective Available Potential Energy (SBCAPE),
Lifted Index (LI), K-Index (KI), average vertical velocity between
850 and 700 hPa (w), and integrated ice-mixing ratio from 700 to
500 hPa (QICE). Short-range runs of twelve non-severe thunderstorm
cases were performed with the WRF model, using different
convective and microphysical schemes. Through statistical
evaluations, the WRF cloud parameterizations that best described
the convective thunderstorms with lightning in southeastern Brazil
were the combination of Grell-Devenyi and Thompson schemes. Two
calculation methods were proposed: the Linear PLR and Normalized
PLR. The difference between them is basically how they deal with
the influence of lightning flashes over the WRF domain's grid
points for the twelve thunderstorms analyzed. Three case studies
were used to test both methods. A statistical evaluation lowering
the spatial resolution of the WRF grid into larger areas was
performed to study the behavior and accuracy of the PLR methods.
The Normalized PLR presented the most suitable one, predicting
flash occurrence appropriately. © 2013 Elsevier B.V. All rights
reserved.",
doi = "10.1016/j.atmosres.2013.01.008",
url = "http://dx.doi.org/10.1016/j.atmosres.2013.01.008",
issn = "0169-8095",
label = "scopus",
language = "{{mtc-m16d.sid.inpe.br 806}
sid.inpe.br/mtc-m19@80/2009/08.21.17.02 USP}",
targetfile = "1-s2.0-S0169809513000458-main.pdf",
url = "http://dx.doi.org/10.1016/j.atmosres.2013.01.008",
urlaccessdate = "27 abr. 2024"
}