Aerosol Transport from Amazon Biomass Burning to Southern Brazil: A Case Study of an Extreme Event During September 2024

Biomass burning in the Amazon region, especially during the dry season, generates aerosol dispersion events across the southern part of the continent, with impacts observable thousands of kilometers from the emission source. This study presents a long-range aerosol transport case from September 2024, in which smoke aerosols from forest fires in the central Amazon reached southeastern and southern Brazil, affecting the air quality in distant areas such as São Paulo and São Martinho. The event was simulated using the Weather Research and Forecasting model with Chemistry (WRF-Chem), configured with the MOZCART chemical mechanism, combined with MERRA-2 reanalysis data and by using the 3BEM biomass burning emission inventory. Satellite datasets from MODIS and MERRA-2 reanalysis were used to evaluate the model’s performance. The results indicate that the South American Low-Level Jet (SALLJ) played a key role in transporting carbonaceous aerosols over long distances. The model successfully captured the spatial and temporal evolution of the aerosol plume and its impacts, although it tended to underestimate aerosol optical depth (AOD) values compared with satellite observations. This study highlights the WRF-Chem’s capability to simulate extreme smoke transport events in South America and supports its potential application in forecasting and air quality assessments.

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Publication Details

Journal
Atmosphere
Published
2025-09-27
DOI
https://doi.org/10.3390/atmos16101138
Citations
1
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
1.11
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article

Aerosol Transport from Amazon Biomass Burning to Southern Brazil: A Case Study of an Extreme Event During September 2024

Gabriela V. Müller, Fabrício Daniel dos Santos Silva, Caroline Bresciani, Fernando Primo Forgioni et al.
1 citations
Atmosphere
Atmospheric aerosols and clouds
1.11
article

Aerosol Transport from Amazon Biomass Burning to Southern Brazil: A Case Study of an Extreme Event During September 2024

Gabriela V. Müller, Fabrício Daniel dos Santos Silva, Caroline Bresciani, Fernando Primo Forgioni, André Silva dos Reis, Jório Bezerra Cabral Júnior, Dirceu Luís Herdies
article en
1 citations

Abstract

Biomass burning in the Amazon region, especially during the dry season, generates aerosol dispersion events across the southern part of the continent, with impacts observable thousands of kilometers from the emission source. This study presents a long-range aerosol transport case from September 2024, in which smoke aerosols from forest fires in the central Amazon reached southeastern and southern Brazil, affecting the air quality in distant areas such as São Paulo and São Martinho. The event was simulated using the Weather Research and Forecasting model with Chemistry (WRF-Chem), configured with the MOZCART chemical mechanism, combined with MERRA-2 reanalysis data and by using the 3BEM biomass burning emission inventory. Satellite datasets from MODIS and MERRA-2 reanalysis were used to evaluate the model’s performance. The results indicate that the South American Low-Level Jet (SALLJ) played a key role in transporting carbonaceous aerosols over long distances. The model successfully captured the spatial and temporal evolution of the aerosol plume and its impacts, although it tended to underestimate aerosol optical depth (AOD) values compared with satellite observations. This study highlights the WRF-Chem’s capability to simulate extreme smoke transport events in South America and supports its potential application in forecasting and air quality assessments.

AtmosphereVol. 16(10)
Universidad Nacional del Litoral (AR), Universidade Federal de Santa Maria (BR), Centro Científico Tecnológico - San Juan (AR), Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina (BR), Universidade Federal de Alagoas (BR), Instituto Nacional de Pesquisas Espaciais (BR)
Openalex Percentile: Top 19%
Atmospheric aerosols and clouds
1.11
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