@Article{VendrascoMacAraRibFer:2020:PoUsGL,
author = "Vendrasco, {\'E}der Paulo and Machado, Luiz Augusto Toledo and
Ara{\'u}jo, Carolina S. and Ribaud, Jean-Fran{\c{c}}ois and
Ferreira, Rute Costa",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and Laboratoire de
M{\'e}t{\'e}orologie Dynamique, {\'E}cole Polytechnique and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Potential use of the GLM for nowcasting and data assimilation",
journal = "Atmospheric Research",
year = "2020",
volume = "242",
pages = "e105019",
month = "Sept.",
abstract = "Based on the relationship between lightning and thunderstorm
microphysics, this paper aims to determine the averaged vertical
profiles of polarimetric variables for different classes of
lightning density according to the GLM grid and then evaluate the
potential use of these profiles for data assimilation in models
with high spatial and temporal resolutions. Polarimetric variables
from an X-band radar located in Campinas-SP and data from the
Brazilian Network were used to detect the microphysics properties
and atmospheric discharges of clouds (GLM proxy). The main
differences between the lightning density class-averaged profiles
for the four variables of ZH, ZDR, KDP and \ρHV were
observed in the region above the melting layer. For the most
intense lightning classes, the signatures associated with high
concentrations of ice particles at high altitudes, the presence of
supercooled drops above the freezing level and the occurrence of
large and more oblate raindrops were observed. To analyze the
possible use of reflectivity profiles as a way to indirectly
assimilate GLM information into forecast models, two case studies
were conducted using the Weather Research and Forecasting model.
The analyses and forecasts obtained with the assimilation of radar
data (reflectivity factor and Doppler winds) and with the indirect
assimilation of GLM lightning density rates through mean
reflectivity profiles were evaluated against a control run
assimilating no data. Overall, the two assimilation experiments
offered substantial improvements over the control run in terms of
short-term forecasts of reflectivity patterns and storm motion.
These encouraging results supports the ability of the GLM data to
positively contribute to nowcasting and forecasting of
convective-scale systems, especially over the vast regions of the
South American continent currently suffering from limited and,
even, an utter lack of observations.",
doi = "10.1016/j.atmosres.2020.105019",
url = "http://dx.doi.org/10.1016/j.atmosres.2020.105019",
issn = "0169-8095",
language = "en",
targetfile = "vendrasco_potential.pdf",
urlaccessdate = "09 maio 2024"
}