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Extreme precipitation events over the east coast of northeast Brazil: Synoptic study and MPAS simulation

Authors :
Matheus José Arruda Lyra
Helber Barros Gomes
Dirceu Luís Herdies
Enver Ramirez
Lucas Carvalho Vieira Cavalcante
Ismael Guidson Farias de Freitas
José Antonio Aravéquia
Silvio Nilo Figueroa
Maria Cristina Lemos da Silva
Fabricio Daniel dos Santos Silva
Heliofábio Barros Gomes
Eder Paulo Vendrasco
Leonardo Calvetti
José Antonio Mantovani, Jr.
Jayant Pendharkar
William Coelho
Mário Francisco Leal de Quadro
Débora Regina Roberti
César Augusto Assis Beneti
Source :
Weather and Climate Extremes, Vol 45, Iss , Pp 100711- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

In the present study two extreme events that occurred in the East Coast of Northeast Brazil (ENEB) during 2022 and 2023 were evaluated. These events are becoming increasingly frequent in all regions of Brazil, associated with significant material and human losses, emphasizing the significance of a deeper comprehension of these events. ERA5 global reanalysis data, GOES-16 satellite imagery and pluviometric stations were used for the analysis. Model simulations were also conducted using the Model for Prediction Across Scales (MPAS) with variable resolution (60–3 km). Both events corresponded to Easterly Wave Disturbances (EWDs) that occurred under opposite large-scale conditions of the ENSO cycle, since extreme events are becoming increasingly frequent in all regions of Brazil and could be responsible for significant material and human losses. Thus, an emphasis was given to characterize the synoptic conditions. Both analyzed cases occurred along the ENEB, specifically over the Alagoas state. The trough axis penetrating the studied area was observed on both examined dates, with a very characteristic relative vorticity of this tropical disturbance. In general, moisture convergence resulted from the high flow of moisture prevailing over the region combined with upward movements caused by the trough present at low levels, which combined with local factors in the region such as topography, contributed to the increase in rainfall over the study area in both analyzed cases. The MPAS showed excellent spatial representation when compared to station data, highlighting intense precipitation over parts of Alagoas.

Details

Language :
English
ISSN :
22120947
Volume :
45
Issue :
100711-
Database :
Directory of Open Access Journals
Journal :
Weather and Climate Extremes
Publication Type :
Academic Journal
Accession number :
edsdoj.ff742ed272484f7983a0deb65babceb9
Document Type :
article
Full Text :
https://doi.org/10.1016/j.wace.2024.100711