Articles | Volume 17, issue 3
https://doi.org/10.5194/acp-17-2373-2017
© Author(s) 2017. 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-17-2373-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Feb 2017
Research article |
| 15 Feb 2017
Impact of mixing state and hygroscopicity on CCN activity of biomass burning aerosol in Amazonia
Madeleine Sánchez Gácita
CORRESPONDING AUTHOR
Center for Weather Forecasting and Climate Research, INPE, Cachoeira Paulista, SP, Brazil
Karla M. Longo
Center for Weather Forecasting and Climate Research, INPE, Cachoeira Paulista, SP, Brazil
now at: Universities Space Research Association/Goddard Earth Sciences Technology and
Research (USRA/GESTAR) at Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Julliana L. M. Freire
Center for Weather Forecasting and Climate Research, INPE, Cachoeira Paulista, SP, Brazil
Saulo R. Freitas
Center for Weather Forecasting and Climate Research, INPE, Cachoeira Paulista, SP, Brazil
now at: Universities Space Research Association/Goddard Earth Sciences Technology and
Research (USRA/GESTAR) at Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Scot T. Martin
School of Engineering and Applied Science, Harvard University, Cambridge, MA, USA
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Cited
19 citations as recorded by crossref.
- Influence of Common Assumptions Regarding Aerosol Composition and Mixing State on Predicted CCN Concentration M. Mahish et al. 10.3390/atmos9020054
- Land–atmosphere interactions in the tropics – a review P. Gentine et al. 10.5194/hess-23-4171-2019
- Impact of urban aerosol properties on cloud condensation nuclei (CCN) activity during the KORUS-AQ field campaign N. Kim et al. 10.1016/j.atmosenv.2018.05.019
- Disentangling the Microphysical Effects of Fire Particles on Convective Clouds Through A Case Study A. Takeishi et al. 10.1029/2019JD031890
- Key challenges for tropospheric chemistry in the Southern Hemisphere C. Paton-Walsh et al. 10.1525/elementa.2021.00050
- Hybrid water adsorption and solubility partitioning for aerosol hygroscopicity and droplet growth K. Gohil et al. 10.5194/acp-22-12769-2022
- Characterization of Aerosol Hygroscopicity Over the Northeast Pacific Ocean: Impacts on Prediction of CCN and Stratocumulus Cloud Droplet Number Concentrations B. Schulze et al. 10.1029/2020EA001098
- Forests, atmospheric water and an uncertain future: the new biology of the global water cycle D. Sheil 10.1186/s40663-018-0138-y
- Dark air–liquid interfacial chemistry of glyoxal and hydrogen peroxide F. Zhang et al. 10.1038/s41612-019-0085-5
- Composition, size and cloud condensation nuclei activity of biomass burning aerosol from northern Australian savannah fires M. Mallet et al. 10.5194/acp-17-3605-2017
- Size distribution and chemical composition of primary particles emitted during open biomass burning processes: Impacts on cloud condensation nuclei activation L. Chen et al. 10.1016/j.scitotenv.2019.03.419
- Effects of Aerosols on the Precipitation of Convective Clouds: A Case Study in the Yangtze River Delta of China C. Liu et al. 10.1029/2018JD029924
- Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM) G. Pereira et al. 10.1016/j.atmosenv.2022.118954
- Cloud condensation nuclei activity of internally mixed particle populations at a remote marine free troposphere site in the North Atlantic Ocean Z. Cheng et al. 10.1016/j.scitotenv.2023.166865
- Quantifying the aerosol effect on droplet size distribution at cloud top L. Hernández Pardo et al. 10.5194/acp-19-7839-2019
- External and internal cloud condensation nuclei (CCN) mixtures: controlled laboratory studies of varying mixing states D. Vu et al. 10.5194/amt-12-4277-2019
- First surface measurement of variation of Cloud Condensation Nuclei (CCN) concentration over the Pristine Himalayan region of Garhwal, Uttarakhand, India A. Gautam et al. 10.1016/j.atmosenv.2020.118123
- The size-resolved cloud condensation nuclei (CCN) activity and its prediction based on aerosol hygroscopicity and composition in the Pearl Delta River (PRD) region during wintertime 2014 M. Cai et al. 10.5194/acp-18-16419-2018
- The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas S. Freitas et al. 10.5194/gmd-10-189-2017
18 citations as recorded by crossref.
- Influence of Common Assumptions Regarding Aerosol Composition and Mixing State on Predicted CCN Concentration M. Mahish et al. 10.3390/atmos9020054
- Land–atmosphere interactions in the tropics – a review P. Gentine et al. 10.5194/hess-23-4171-2019
- Impact of urban aerosol properties on cloud condensation nuclei (CCN) activity during the KORUS-AQ field campaign N. Kim et al. 10.1016/j.atmosenv.2018.05.019
- Disentangling the Microphysical Effects of Fire Particles on Convective Clouds Through A Case Study A. Takeishi et al. 10.1029/2019JD031890
- Key challenges for tropospheric chemistry in the Southern Hemisphere C. Paton-Walsh et al. 10.1525/elementa.2021.00050
- Hybrid water adsorption and solubility partitioning for aerosol hygroscopicity and droplet growth K. Gohil et al. 10.5194/acp-22-12769-2022
- Characterization of Aerosol Hygroscopicity Over the Northeast Pacific Ocean: Impacts on Prediction of CCN and Stratocumulus Cloud Droplet Number Concentrations B. Schulze et al. 10.1029/2020EA001098
- Forests, atmospheric water and an uncertain future: the new biology of the global water cycle D. Sheil 10.1186/s40663-018-0138-y
- Dark air–liquid interfacial chemistry of glyoxal and hydrogen peroxide F. Zhang et al. 10.1038/s41612-019-0085-5
- Composition, size and cloud condensation nuclei activity of biomass burning aerosol from northern Australian savannah fires M. Mallet et al. 10.5194/acp-17-3605-2017
- Size distribution and chemical composition of primary particles emitted during open biomass burning processes: Impacts on cloud condensation nuclei activation L. Chen et al. 10.1016/j.scitotenv.2019.03.419
- Effects of Aerosols on the Precipitation of Convective Clouds: A Case Study in the Yangtze River Delta of China C. Liu et al. 10.1029/2018JD029924
- Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM) G. Pereira et al. 10.1016/j.atmosenv.2022.118954
- Cloud condensation nuclei activity of internally mixed particle populations at a remote marine free troposphere site in the North Atlantic Ocean Z. Cheng et al. 10.1016/j.scitotenv.2023.166865
- Quantifying the aerosol effect on droplet size distribution at cloud top L. Hernández Pardo et al. 10.5194/acp-19-7839-2019
- External and internal cloud condensation nuclei (CCN) mixtures: controlled laboratory studies of varying mixing states D. Vu et al. 10.5194/amt-12-4277-2019
- First surface measurement of variation of Cloud Condensation Nuclei (CCN) concentration over the Pristine Himalayan region of Garhwal, Uttarakhand, India A. Gautam et al. 10.1016/j.atmosenv.2020.118123
- The size-resolved cloud condensation nuclei (CCN) activity and its prediction based on aerosol hygroscopicity and composition in the Pearl Delta River (PRD) region during wintertime 2014 M. Cai et al. 10.5194/acp-18-16419-2018
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Latest update: 24 Apr 2024
Short summary
This study uses an adiabatic cloud model to simulate the activation of smoke aerosol particles in the Amazon region as cloud condensation nuclei (CCN). The relative importance of variability in hygroscopicity, mixing state, and activation kinetics for the activated fraction and maximum supersaturation is assessed. Our findings on uncertainties and sensitivities provide guidance on appropriate simplifications that can be used for modeling of smoke aerosols within general circulation models.
This study uses an adiabatic cloud model to simulate the activation of smoke aerosol particles...
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