Upper Tropospheric Cyclonic Vortex and Brazilian Northeast Jet Stream over Alagoas State: Circulation Patterns and Rainfall

Repinaldo, Henrique Fuchs Bueno; Fedorova, Natalia; Levit, Valdimir; Repinaldo, Cintia Rabelo Da Rocha

doi:10.1590/0102-7786355000003

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…In the ECNEB, precipitation values are also associated with the Intertropical Convergence Zone (ITCZ) displacement during April [30]. Additionally, the Upper Tropospheric Cyclonic Vortex (UTCV), Mesoscale Convective Complexes (MCCs), and the maximum convergence of southeast trade winds with the land breeze at different times of the year can favor significant accumulations of rain in the region [31,32]. In the autumn and winter seasons, precipitation is also induced by contrasting temperatures between the mainland and the Atlantic Ocean.…”

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Landslides Triggered by the May 2017 Extreme Rainfall Event in the East Coast Northeast of Brazil

et al. 2021

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Given the increasing occurrence of landslides on the East Coast Northeast of Brazil (ECNEB), it is essential to understand its conditions and triggering factors because meteorological anomalies triggered by a landslide will threaten life and property in the region. In this sense, this research aimed to diagnose the meteorological conditions that triggered landslides in the ECNEB in May 2017, evaluate the terrain’s intrinsic conditions using elevation, slope, and susceptibility parameters and determine critical precipitation thresholds for the city with the highest number of landslide risk areas in the region. A dynamic downscaling experiment was carried out using the Regional Climate Model (RegCM) to verify the ability of this model to represent rainfall over the ECNEB. The results from the intrinsic factors showed that the ECNEB is highly susceptible to landslides with various high-risk sectors for landslides to the population. The extreme rainfall event was associated with the convergence of humidity at low levels over the ocean, which contributed to landslides in the ECNEB, mainly in the State of Pernambuco, where 67 landslides were registered. The RegCM numerical simulation underestimated the high daily rainfall signal seen on the Tropical Rainfall Measuring Mission satellite. It is suggested that sensitivity tests can be performed using other physical parameters to find the best model configuration for the ECNEB. This work recommends that exploring the relationship between precipitation and landslides will provide objective criteria for assessing risk areas by contributing to the predictability of disasters in this region.

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confidence: 99%

Landslides Triggered by the May 2017 Extreme Rainfall Event in the East Coast Northeast of Brazil

et al. 2021

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Estudo Sinótico e da Estrutura Vertical de um Vórtice Ciclônico de Altos Níveis Ocorrido em Janeiro de 2016

Lyra

Arraut

2023

Rev. bras. meteorol.

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Resumo Os Vórtices Ciclônicos de Altos Níveis (VCAN) são um dos principais sistemas que provocam alterações no tempo durante a pré-estação chuvosa do Nordeste do Brasil (NEB). O principal objetivo deste estudo é compreender a configuração do VCAN que se desenvolveu durante 26 dias em janeiro de 2016 através da análise sinótica e termodinâmica. Além do vórtice, sistemas de diferentes escalas espaciais e temporais como a Zona de Convergência do Atlântico Sul (ZCAS), Oscilação Madden-Julian (OMJ) se configuraram simultaneamente, junto com o El Niño que se encontrava ativo desde 2015. A conexão entre os sistemas supracitados provocou um grande aumento nos índices de chuva no NEB. A configuração do VCAN em conjunto com a ZCAS sendo impulsionados pela propagação da OMJ determinaram o excesso de chuvas durante os dias analisados. A periferia oeste do vórtice se posicionou próxima à costa leste do NEB, provocando uma alteração no padrão de convergência do transporte de umidade de grande escala, que passou a convergir sobre o NEB, elevando os índices de precipitação em alguns estados. A avaliação da estrutura vertical do VCAN por meio de seções verticais indicou movimentos ascendentes somente na periferia oeste, a periferia leste foi caracterizada por forte inibição convectiva.

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Performance Assessment of Different Precipitation Databases (Gridded Analyses and Reanalyses) for the New Brazilian Agricultural Frontier: SEALBA

Silva

et al. 2022

Water

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Since the early 2000s, Brazil has been one of the world’s leading grain producers, with agribusiness accounting for around 28% of the Brazilian GDP in 2021. Substantial investments in research, coupled with the expansion of arable areas, owed to the advent of new agriculture frontiers, led the country to become the world’s greatest producer of soybean. One of the newest agricultural frontiers to be emerging in Brazil is the one known as SEALBA, an acronym that refers to the three Brazilian states whose areas it is comprised of—Sergipe, Alagoas, and Bahia—all located in the Northeast region of the country. It is an extensive area with a favorable climate for the production of grains, including soybeans, with a rainy season that takes place in autumn/winter, unlike the Brazilian regions that are currently the main producers of these kinds of crops, in which the rainfall regime has the wet period concentrated in spring/summer. Considering that precipitation is the main determinant climatic factor for crops, the scarcity of weather stations in the SEALBA region poses an obstacle to an accurate evaluation of the actual feasibility of the region to a given crop. Therefore, the aim of this work was to carry out an assessment of the performance of four different precipitation databases of alternative sources to observations: two from gridded analyses, MERGE and CHIRPS, and the other two from ECMWF reanalyses, ERA5, and ERA5Land, and by comparing them to observational records from stations along the region. The analysis was based on a comparison with data from seven weather stations located in SEALBA, in the period 2001–2020, through three dexterity indices: the mean absolute error (MAE), the root mean squared errors (RMSE), and the coefficient of Pearson’s correlation (r), showing that the gridded analyzes performed better than the reanalyses, with MERGE showing the highest correlations and the lowest errors (global average r between stations of 0.96, followed by CHIRPS with 0.85, ERA5Land with 0.83, and ERA5 with 0.70; average MAE 14.3 mm, followed by CHIRPS with 21.3 mm, ERA5Land with 42.1 mm and ERA5 with 50.1 mm; average RMSE between stations of 24.6 mm, followed by CHIRPS with 50.8 mm, ERA5Land with 62.3 mm and ERA5 with 71.4 mm). Since all databases provide up-to-date data, our findings indicate that, for any research that needs a complete daily precipitation dataset for the SEALBA region, preference should be given to use the data in the following order of priority: MERGE, CHIRPS, ERA5Land, and ERA5.

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Upper Tropospheric Cyclonic Vortex and Brazilian Northeast Jet Stream over Alagoas State: Circulation Patterns and Rainfall

Cited by 3 publications

References 28 publications

Landslides Triggered by the May 2017 Extreme Rainfall Event in the East Coast Northeast of Brazil

Landslides Triggered by the May 2017 Extreme Rainfall Event in the East Coast Northeast of Brazil

Estudo Sinótico e da Estrutura Vertical de um Vórtice Ciclônico de Altos Níveis Ocorrido em Janeiro de 2016

Performance Assessment of Different Precipitation Databases (Gridded Analyses and Reanalyses) for the New Brazilian Agricultural Frontier: SEALBA

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