Articles | Volume 16, issue 12
https://doi.org/10.5194/acp-16-7709-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-7709-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Jun 2016
Research article |
| 24 Jun 2016
The evolution of biomass-burning aerosol size distributions due to coagulation: dependence on fire and meteorological details and parameterization
Kimiko M. Sakamoto
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
James R. Laing
School of Science and Technology, University of Washington-Bothell, Bothell, WA, USA
Robin G. Stevens
School of Earth and Environment, University of Leeds, Leeds, UK
Daniel A. Jaffe
School of Science and Technology, University of Washington-Bothell, Bothell, WA, USA
Department of Atmospheric Science, University of Washington, Seattle, WA, USA
Jeffrey R. Pierce
CORRESPONDING AUTHOR
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada
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42 citations as recorded by crossref.
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- Modeling Biomass Burning Organic Aerosol Atmospheric Evolution and Chemical Aging D. Patoulias et al. 10.3390/atmos12121638
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- Dilution impacts on smoke aging: evidence in Biomass Burning Observation Project (BBOP) data A. Hodshire et al. 10.5194/acp-21-6839-2021
- Larger Submicron Particles for Emissions With Residential Burning in Wintertime San Joaquin Valley (Fresno) than for Vehicle Combustion in Summertime South Coast Air Basin (Fontana) R. Betha et al. 10.1029/2017JD026730
- Spectrally dependent linear depolarization and lidar ratios for nonspherical smoke aerosols L. Liu & M. Mishchenko 10.1016/j.jqsrt.2020.106953
- Field measurements of solid-fuel cookstove emissions from uncontrolled cooking in China, Honduras, Uganda, and India S. Rose Eilenberg et al. 10.1016/j.atmosenv.2018.06.041
- Physical and optical properties of aged biomass burning aerosol from wildfires in Siberia and the Western USA at the Mt. Bachelor Observatory J. Laing et al. 10.5194/acp-16-15185-2016
- Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data K. Baker et al. 10.1016/j.scitotenv.2018.05.048
- Overview of aerosol optical properties over southern West Africa from DACCIWA aircraft measurements C. Denjean et al. 10.5194/acp-20-4735-2020
- More Than Emissions and Chemistry: Fire Size, Dilution, and Background Aerosol Also Greatly Influence Near‐Field Biomass Burning Aerosol Aging A. Hodshire et al. 10.1029/2018JD029674
- Aging Effects on Biomass Burning Aerosol Mass and Composition: A Critical Review of Field and Laboratory Studies A. Hodshire et al. 10.1021/acs.est.9b02588
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- Primary ion diffusion charging and particle wall loss in smog chamber experiments N. Mahfouz & N. Donahue 10.1080/02786826.2020.1757032
- Simulating the forest fire plume dispersion, chemistry, and aerosol formation using SAM-ASP version 1.0 C. Lonsdale et al. 10.5194/gmd-13-4579-2020
- A traffic-induced shift of ultrafine particle sources under COVID-19 soft lockdown in a subtropical urban area T. Chen et al. 10.1016/j.envint.2024.108658
- Secondary organic aerosol formation in biomass-burning plumes: theoretical analysis of lab studies and ambient plumes Q. Bian et al. 10.5194/acp-17-5459-2017
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- Connecting smoke plumes to sources using Hazard Mapping System (HMS) smoke and fire location data over North America S. Brey et al. 10.5194/acp-18-1745-2018
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- Investigation of seasonal variation of compensation parameter and absorption Ångström Exponent of aerosol after loading correction over a remote station in north-east India N. Barman et al. 10.1016/j.atmosenv.2019.05.036
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- Ambient Particulate Matter Size Distributions Drive Regional and Global Variability in Particle Deposition in the Respiratory Tract J. Kodros et al. 10.1029/2018GH000145
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Latest update: 21 Nov 2024
Short summary
We determine how various meteorological and fire factors contribute to shaping the aged biomass-burning particle size distribution through coagulation. The mass emissions flux, fire area, and wind speed are dominant factors controlling the aged size distribution. We parameterize the aged size distribution for global/regional aerosol models. We estimate that the aged biomass-burning particle size distribution may be more sensitive to variability in coagulation than SOA formation.
We determine how various meteorological and fire factors contribute to shaping the aged...
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