Articles | Volume 16, issue 22
https://doi.org/10.5194/acp-16-14775-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-16-14775-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Nov 2016
Research article |
| 28 Nov 2016
Modeling investigation of light-absorbing aerosols in the Amazon Basin during the wet season
Qiaoqiao Wang
CORRESPONDING AUTHOR
Biogeochemistry Department, Max Planck Institute for Chemistry, 55131
Mainz, Germany
Jorge Saturno
Biogeochemistry Department, Max Planck Institute for Chemistry, 55131
Mainz, Germany
Xuguang Chi
Biogeochemistry Department, Max Planck Institute for Chemistry, 55131
Mainz, Germany
now at: School of Atmospheric Sciences, Nanjing University, Jiangsu,
China
David Walter
Biogeochemistry Department, Max Planck Institute for Chemistry, 55131
Mainz, Germany
Jost V. Lavric
Department of Biogeochemical Systems, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
ICOS ERIC Head Office, Helsinki, Finland
Daniel Moran-Zuloaga
Biogeochemistry Department, Max Planck Institute for Chemistry, 55131
Mainz, Germany
Florian Ditas
Biogeochemistry Department, Max Planck Institute for Chemistry, 55131
Mainz, Germany
Christopher Pöhlker
Biogeochemistry Department, Max Planck Institute for Chemistry, 55131
Mainz, Germany
Joel Brito
Department of Applied Physics, University of São Paulo, São
Paulo 05508, Brazil
now at: Laboratory for Meteorological Physics, University Blaise
Pascal, Aubière, France
Samara Carbone
Department of Applied Physics, University of São Paulo, São
Paulo 05508, Brazil
now at: Institute of Agrarian Sciences, Federal University of Uberlandia, Uberlandia, Brazil
Paulo Artaxo
Department of Applied Physics, University of São Paulo, São
Paulo 05508, Brazil
Meinrat O. Andreae
Biogeochemistry Department, Max Planck Institute for Chemistry, 55131
Mainz, Germany
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36 citations as recorded by crossref.
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- Source identification and global implications of black carbon E. Blanco-Donado et al. 10.1016/j.gsf.2021.101149
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- Modeling Investigation of Brown Carbon Aerosol and Its Light Absorption in China Y. Zhu et al. 10.3390/atmos12070892
- From Measurements to Models: Toward Accurate Representation of Brown Carbon in Climate Calculations R. Saleh 10.1007/s40726-020-00139-3
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- Influx of African biomass burning aerosol during the Amazonian dry season through layered transatlantic transport of black carbon-rich smoke B. Holanda et al. 10.5194/acp-20-4757-2020
- Long-term study on coarse mode aerosols in the Amazon rain forest with the frequent intrusion of Saharan dust plumes D. Moran-Zuloaga et al. 10.5194/acp-18-10055-2018
- Aerosol Absorption: Progress Towards Global and Regional Constraints B. Samset et al. 10.1007/s40641-018-0091-4
- The export of African mineral dust across the Atlantic and its impact over the Amazon Basin X. Wang et al. 10.5194/acp-23-9993-2023
- Nonlinear behavior of organic aerosol in biomass burning plumes: a microphysical model analysis I. Konovalov et al. 10.5194/acp-19-12091-2019
- The impact of Sahara dust on air quality and public health in European countries Q. Wang et al. 10.1016/j.atmosenv.2020.117771
- No evidence for brown carbon formation in ambient particles undergoing atmospherically relevant drying V. Pratap et al. 10.1039/C9EM00457B
- Source apportionment of black carbon and the impact of COVID-19 lockdown over a semi-urban location in India M. Chandrakala et al. 10.1016/j.aeaoa.2024.100243
- Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory C. Pöhlker et al. 10.5194/acp-19-8425-2019
- Concentrations and biosphere–atmosphere fluxes of inorganic trace gases and associated ionic aerosol counterparts over the Amazon rainforest R. Ramsay et al. 10.5194/acp-20-15551-2020
- Absorbing aerosols over Asia – an inter-model and model-observation comparison study using CAM5.3-Oslo L. Frey et al. 10.1080/16000889.2021.1909815
- Avaliação sazonal do aerossol e suas propriedades ópticas na Zona Leste de São Paulo B. Ramos & R. Miranda 10.55761/abclima.v33i19.16957
- The Brown–Black Continuum of Light-Absorbing Combustion Aerosols R. Saleh et al. 10.1021/acs.estlett.8b00305
- Black and brown carbon over central Amazonia: long-term aerosol measurements at the ATTO site J. Saturno et al. 10.5194/acp-18-12817-2018
- Ozone deterioration over North China plain caused by light absorption of black carbon and organic carbon J. Li & Y. Li 10.1016/j.atmosenv.2023.120048
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- Exploring the observational constraints on the simulation of brown carbon X. Wang et al. 10.5194/acp-18-635-2018
- Review of Brown Carbon Aerosols in China: Pollution Level, Optical Properties, and Emissions Q. Wang et al. 10.1029/2021JD035473
- Mixing states of Amazon basin aerosol particles transported over long distances using transmission electron microscopy K. Adachi et al. 10.5194/acp-20-11923-2020
- African biomass burning affects aerosol cycling over the Amazon B. Holanda et al. 10.1038/s43247-023-00795-5
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- African volcanic emissions influencing atmospheric aerosols over the Amazon rain forest J. Saturno et al. 10.5194/acp-18-10391-2018
- Tropical and Boreal Forest – Atmosphere Interactions: A Review P. Artaxo et al. 10.16993/tellusb.34
- Long-range transport and microscopy analysis of Sangay volcanic ashes in Ecuador D. Moran-Zuloaga et al. 10.1007/s11869-023-01434-w
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Latest update: 20 Nov 2024
Short summary
We use a chemical transport model to interpret observed aerosol concentrations and absorption over the Amazon Basin during the wet season. With daily temporal resolution for open fire emissions and modified aerosol optical properties, our model successfully captures the observed variation in aerosol concentrations and absorption over the Amazon Basin. The simulation indicates the important influence of open fire mainly from northern South America and from northern Africa in the wet season.
We use a chemical transport model to interpret observed aerosol concentrations and absorption...
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