Distinct aerosol populations and their vertical gradients in central Amazonia revealed by optical properties and cluster analysis

Abstract. In central Amazonia, aerosol sources, weather, and chemical processes create a highly variable aerosol population. The aerosols' optical properties, shaped by composition and size, determine sunlight interaction and the regional radiation budget. Previous studies observed differences in the particles' physical properties during smoke events and described their vertical gradients during clean periods. However, a complete characterization of these properties at two height levels considering both seasons is still missing. This study connects aerosol optical measurements from the Amazon Tall Tower Observatory (ATTO), at 60 and 325 m heights, to particle composition and sources, characterizing different aerosol populations, assessing their vertical gradients, and associating them with the influence of various emission sources and atmospheric processes. A seasonally segregated clustering method was applied to five years of optical data (2018–2023), allowing for the identification of periods with low biomass-burning impact, long-range transport (LRT) events, and regional pollution episodes. Aerosols from Saharan dust events showed the highest real and imaginary refractive index, along with a large inorganic mass fraction (around 26 %), which differs from typical Amazonian conditions. Furthermore, regional biomass-burning emissions during the dry season promoted elevated fine-mode particle concentrations (median 2250 cm−3), dominated by absorbing carbonaceous material. These particles also showed the maximum mass scattering efficiency, which was consistently higher at the 60 m height, underscoring the importance of vertical transport and aerosol aging processes. These results indicate that the clustering method can discriminate between aerosol populations and elucidate differences between particles of different sources and processes influencing the Amazonian atmosphere.

Authors

Institutions

Publication Details

Journal
Atmospheric chemistry and physics
Published
2025-11-06
DOI
https://doi.org/10.5194/acp-25-14923-2025
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distinct aerosol populations and their vertical gradients in central Amazonia revealed by optical properties and cluster analysis

Bruna A. Holanda, Subha S. Raj, Bruno B. Meller, Leslie A. Kremper et al.
Atmospheric chemistry and physics
Atmospheric aerosols and clouds
article

Distinct aerosol populations and their vertical gradients in central Amazonia revealed by optical properties and cluster analysis

Bruna A. Holanda, Subha S. Raj, Bruno B. Meller, Leslie A. Kremper, Cléo Quaresma Dias‐Júnior, Samara Carbone, Luciana V. Rizzo, Luiz A. T. Machado, Sebastian Brill, Fernando G. Morais, Ulrich Pöschl, Marco A. Franco, Meinrat O. Andreae, Rafael Valiati, Christopher Pöhlker
article en

Abstract

Abstract. In central Amazonia, aerosol sources, weather, and chemical processes create a highly variable aerosol population. The aerosols' optical properties, shaped by composition and size, determine sunlight interaction and the regional radiation budget. Previous studies observed differences in the particles' physical properties during smoke events and described their vertical gradients during clean periods. However, a complete characterization of these properties at two height levels considering both seasons is still missing. This study connects aerosol optical measurements from the Amazon Tall Tower Observatory (ATTO), at 60 and 325 m heights, to particle composition and sources, characterizing different aerosol populations, assessing their vertical gradients, and associating them with the influence of various emission sources and atmospheric processes. A seasonally segregated clustering method was applied to five years of optical data (2018–2023), allowing for the identification of periods with low biomass-burning impact, long-range transport (LRT) events, and regional pollution episodes. Aerosols from Saharan dust events showed the highest real and imaginary refractive index, along with a large inorganic mass fraction (around 26 %), which differs from typical Amazonian conditions. Furthermore, regional biomass-burning emissions during the dry season promoted elevated fine-mode particle concentrations (median 2250 cm−3), dominated by absorbing carbonaceous material. These particles also showed the maximum mass scattering efficiency, which was consistently higher at the 60 m height, underscoring the importance of vertical transport and aerosol aging processes. These results indicate that the clustering method can discriminate between aerosol populations and elucidate differences between particles of different sources and processes influencing the Amazonian atmosphere.

Atmospheric chemistry and physicsVol. 25(21)
Scripps Institution of Oceanography (US), Universidade de São Paulo (BR), Instituto Nacional de Pesquisas da Amazônia (BR), Brookhaven National Laboratory (US), University of California San Diego (US), Instituto Federal de Educação, Ciência e Tecnologia do Pará (BR), Max Planck Institute for Chemistry (DE), Institute of Astronomy (RU), Hessian Agency for Nature Conservation, Environment and Geology (DE), Institute of Physics of the Slovak Academy of Sciences (SK), Universidade Federal de Uberlândia (BR)
Openalex Percentile: Top 70%
Atmospheric aerosols and clouds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.