@Article{CominJuPeGuShFeSu:2020:NuSeSt,
author = "Comin, Alcimoni Nelci and Justino, Flavio and Pezzi, Luciano Ponzi
and Gurj{\~a}o, Carlos Diego de Sousa and Shumacher, Van{\'u}cia
and Fern{\'a}ndez, Alfonso and Sutil, Ueslei Adriano",
affiliation = "{Universidade Federal de Vi{\c{c}}osa (UFV)} and {Universidade
Federal de Vi{\c{c}}osa (UFV)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Federal de
Vi{\c{c}}osa (UFV)} and {Universidade Federal de Vi{\c{c}}osa
(UFV)} and {Universidad de Concepci{\'o}n} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Extreme rainfall event in the Northeast coast of Brazil: a
numerical sensitivity study",
journal = "Meteorology and Atmospheric Physics",
year = "2020",
volume = "20",
pages = "1",
keywords = "Regional Modeling, Extreme rainfall.",
abstract = "This study investigates an extreme rainfall event which occurred
in Northern Brazil (NEB) between 20 and 30th 2017 May causing
several deaths and making thousands homeless. Based on a suite of
microphysics and planetary boundary layer (PBL) schemes based on
the WRF model, it is demonstrated that anomalous weather
conditions are characterized by signifcant upward and eastward
wind fow. Omega diferences with respect to climatological
conditions showed values up to \− 0.04 Pa/s and wind up to
68 m/s in consonance with higher precipitation in May in the NEB
coast. The cumulative rainfall for 11 days was higher than 500 mm
in some locations, as measured by weather stations. These
conditions were simulated by the WRF model under diferent physics
parameterization schemes. In total 24 experiments with WRF were
implemented. Non-local PBL demonstrated better performance than
the local PBL. Moreover, the rainfall was concentrated in small
portions of the region, and the local scheme limited the WRF
conditions to estimate the correct maximum precipitation location.
The Morrison scheme performed better compared to the other
schemes. Results presented here show that the correct choices of
the microphysics and PBL parameterizations are fundamental to
obtain good simulation/forecast, especially for extreme rainfall
events. This study demonstrates that regional modeling is crucial
to provide accurate information to forecasters and decision makers
to plan actions which hamper catastrophic situations such as
landslides and foods in high-risk regions.",
doi = "10.1007/s00703-020-00747-0",
url = "http://dx.doi.org/10.1007/s00703-020-00747-0",
issn = "0177-7971",
label = "lattes: 9168878830863753 3 CominJuPeSoShFeSu:2020:NuSeSt",
language = "en",
targetfile = "comin_extreme.pdf",
urlaccessdate = "27 abr. 2024"
}