@InProceedings{CarmoMiraSous:2017:AnCáÍn,
author = "Carmo, Luiz Rodrigues do and Miranda, Vitor Fonseca Vieira
Vasconcelos de and Sousa, Rodrigo Carvalho de",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "An{\'a}lise e C{\'a}lculo dos {\'{\I}}ndices de Instabilidade
para Eventos de Chuva de Granizo no Rio Grande do Sul",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6842--6849",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The state of Rio Grande do Sul, has a lot of rainfall problems,
the largest being related to the hailstorm. The motivation of this
work is based on the difficulty of the predictability of the event
because this may happen in micro or mesoscale. A good analysis of
this with remote sensing and in situ data is very important to
calculate the indexes of instability, which have a great
relationship not only to hail but with other phenomena. With the
values found for these cases may be established thresholds for the
same using computational techniques helping to the forecast. The
cases chosen were those that had the greatest social and economic
impact in the last six years and that occurred in the state of Rio
Grande do Sul. In order to calculate the indexes we used the data
survey of the Salgado Filho International Airport in Porto Alegre.
The indexes are calculated: SWEAT index (Severe Weather Threat)
CAPE (Convective Available Potential Energy), K (index K), TTI
(Total Totals Index), LI (Survey Index) and SI (Showalter
Index).",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59562",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMDLH",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDLH",
targetfile = "59562.pdf",
type = "Meteorologia e climatologia",
urlaccessdate = "28 abr. 2024"
}