@InProceedings{InouyeGNDHCMBVG:2017:ImRaDa,
author = "Inouye, Rafael Toshio and Gon{\c{c}}alves, J. E. and Neundorf, R.
L. and Diniz, F{\'a}bio Luiz Rodrigues and Herdies, Dirceu Luis
and Calvetti, Leonardo and Maske, Bianca B. and Beneti, Cesar and
Vendrasco, {\'E}der Paulo and Gon{\c{c}}alves, Luis Gustavo
Gon{\c{c}}alves de",
affiliation = "{Instituto Tecnol{\'o}gico SIMEPAR} and {} and {} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Tecnol{\'o}gico
SIMEPAR} and {} and {Instituto Tecnol{\'o}gico SIMEPAR} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Impact of radar data assimilation on a severe storm study in
Brazil",
year = "2017",
organization = "American Meteorological Society Annual Meeting, 97.",
abstract = "The west of Parana state of Brazil is a region which has a
propitious environment to develop severe weather conditions with
strong winds, heavy rainfall, lightning and flooding due to the
influences of low level jets that bring humidity from tropical
region, mainly. Every year wind gusts cause damages on many high
structures such as power transmission lines and towers. To measure
these severe weather conditions, the Paran{\'a} Meteorological
System (SIMEPAR) operates a dual polarization S-Band weather radar
in Cascavel city and since December 2015 a series of anemometers
were installed in four energy towers within the weather radar
range to study the behaviour of wind gusts around and in these
structures. On July 13th, 2016 at 00 UTC was reported that a
transmission tower was toppled by wind. A sonic anemometer near
the tower at 44m high recorded a gust of 32m/s. To understanding
the thermodynamics of the storm it had been run simulations with
WRF numerical model at a high-resolution framework. This study
used the model Weather Research Forecasting (WRF) with four nested
grids 9, 3, 1 and 0.33 km horizontal resolution centered on the
radar site. It was used the GFS external boundary conditions that
run with 0.25 degree horizontal resolution. The simulations were
set with Lin et al. microphysics, RRTM for longwave radiation,
Dhudia shortwave radiation scheme and surface physics of Revised
Monin-Obukhov scheme. This set of physics parameterizations was
chosen among four other based on a previous study on february
18th, 2016. The assimilation was performed over the 0.33km and 1km
grids only. Nested feedback carried out information throughout the
domain. While the model without assimilation was not able to
generate the convection as observed with radar data, the
high-resolution simulation with radar data assimilation yield a
development of the convection cells compared to the observations,
although in some areas the reflectivity simulated were
overestimated. The spatial distribution of reflectivity, and the
magnitude of the wind forecasted by the model were similar to
those observed, although the reflectivity amplitude were again
overestimated in some areas. These preliminary results encourage
further investigations in radar data assimilation for short-range
forecast. Quality control is a major issue that should be
investigated thoroughly, and in particular when regarding radial
velocity. Using polarimetric variables can improve the quality
control and is already in the process of analysis of this project.
The simulations show encourageous results to improve model skill
in short-range forecasts (about 1 hour) by assimilation of radar
reflectivity, radial velocity along with automatic surface
meteorological stations.",
conference-location = "Seattle",
conference-year = "21-26 jan.",
language = "en",
targetfile = "inouye_impact-compactado.pdf",
urlaccessdate = "21 maio 2024"
}