Articles | Volume 12, issue 8
https://doi.org/10.5194/amt-12-4277-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-4277-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Aug 2019
Research article |
| 08 Aug 2019
| 08 Aug 2019
External and internal cloud condensation nuclei (CCN) mixtures: controlled laboratory studies of varying mixing states
Diep Vu
Department of Chemical and Environmental Engineering, Bourns College of
Engineering, University of California, Riverside, CA 92521, USA
Bourns College of Engineering, Center for Environmental Research and
Technology (CE-CERT), Riverside, CA 92507, USA
currently at: Ford Motor Company, Research & Innovation
Center, Dearborn, MI 48124, USA
Shaokai Gao
Department of Chemical and Environmental Engineering, Bourns College of
Engineering, University of California, Riverside, CA 92521, USA
currently at: Phillips 66 Research Center, Research and
Development, Bartlesville, OK 74004, USA
Tyler Berte
Department of Chemical and Environmental Engineering, Bourns College of
Engineering, University of California, Riverside, CA 92521, USA
Bourns College of Engineering, Center for Environmental Research and
Technology (CE-CERT), Riverside, CA 92507, USA
Mary Kacarab
Department of Chemical and Environmental Engineering, Bourns College of
Engineering, University of California, Riverside, CA 92521, USA
Bourns College of Engineering, Center for Environmental Research and
Technology (CE-CERT), Riverside, CA 92507, USA
Qi Yao
Department of Chemical and Biomolecular Engineering, A. James Clark
School of Engineering, University of Maryland, College Park, MD 20742, USA
Kambiz Vafai
Department of Mechanical Engineering, Bourns College of Engineering,
University of California, Riverside, CA 92521, USA
Department of Chemical and Environmental Engineering, Bourns College of
Engineering, University of California, Riverside, CA 92521, USA
Bourns College of Engineering, Center for Environmental Research and
Technology (CE-CERT), Riverside, CA 92507, USA
Department of Chemical and Biomolecular Engineering, A. James Clark
School of Engineering, University of Maryland, College Park, MD 20742, USA
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- Hybrid water adsorption and solubility partitioning for aerosol hygroscopicity and droplet growth K. Gohil et al. 10.5194/acp-22-12769-2022
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- Microfluidic platform for coupled studies of freezing behavior and final effloresced particle morphology in Snomax ® containing aqueous droplets M. House & C. Dutcher 10.1080/02786826.2023.2233574
17 citations as recorded by crossref.
- Hygroscopicity and the water-polymer interaction parameter of nano-sized biodegradable hydrophilic substances C. Mao et al. 10.1080/02786826.2021.1931012
- Enhancement of secondary aerosol formation by reduced anthropogenic emissions during Spring Festival 2019 and enlightenment for regional PM<sub>2.5</sub> control in Beijing Y. Wang et al. 10.5194/acp-21-915-2021
- Contrasting aerosol growth potential in the northern and central-southern regions of the North China Plain: Implications for combating regional pollution Y. Wang et al. 10.1016/j.atmosenv.2021.118723
- Evidence of Surface-Tension Lowering of Atmospheric Aerosols by Organics from Field Observations in an Urban Atmosphere: Relation to Particle Size and Chemical Composition T. Fan et al. 10.1021/acs.est.4c03141
- Aerosol–stratocumulus interactions: towards a better process understanding using closures between observations and large eddy simulations S. Calderón et al. 10.5194/acp-22-12417-2022
- Solubility Considerations for Cloud Condensation Nuclei (CCN) Activity Analysis of Pure and Mixed Black Carbon Species K. Gohil et al. 10.1021/acs.jpca.2c08585
- Particle Number Size Distribution of Wintertime Alpine Aerosols and Their Activation as Cloud Condensation Nuclei in the Guanzhong Plain, Northwest China Y. Chen et al. 10.1029/2022JD037877
- Using particle-resolved aerosol model simulations to guide the interpretations of cloud condensation nuclei experimental data P. Razafindrambinina et al. 10.1080/02786826.2023.2202741
- The Role of Organic Vapor in the Water Uptake of Organic Aerosols K. Malek et al. 10.1021/acsearthspacechem.4c00017
- Effects of mixing state on water-uptake properties of ammonium sulfate – Organic mixtures P. Razafindrambinina et al. 10.1080/02786826.2022.2114313
- Investigation of condensation prevention and thermal comfort of convection-radiation cooling system C. Tang et al. 10.1016/j.icheatmasstransfer.2024.107736
- Hygroscopicity of polycatechol and polyguaiacol secondary organic aerosol in sub- and supersaturated water vapor environments K. Malek et al. 10.1039/D1EA00063B
- Liquid–Liquid Phase Separation Can Drive Aerosol Droplet Growth in Supersaturated Regimes K. Malek et al. 10.1021/acsenvironau.3c00015
- Aircraft measurements of single particle size and composition reveal aerosol size and mixing state dictate their activation into cloud droplets G. Saliba et al. 10.1039/D3EA00052D
- Hybrid water adsorption and solubility partitioning for aerosol hygroscopicity and droplet growth K. Gohil et al. 10.5194/acp-22-12769-2022
- Cloud condensation nuclei (CCN) activity analysis of low-hygroscopicity aerosols using the aerodynamic aerosol classifier (AAC) K. Gohil & A. Asa-Awuku 10.5194/amt-15-1007-2022
- Microfluidic platform for coupled studies of freezing behavior and final effloresced particle morphology in Snomax ® containing aqueous droplets M. House & C. Dutcher 10.1080/02786826.2023.2233574
Latest update: 20 Nov 2024
Short summary
Aerosol–cloud interactions contribute the greatest uncertainty to cloud formation. Aerosol composition is complex and can change quickly in the atmosphere. In this work, we recreate a transition in aerosol mixing state in the laboratory, which (to date) has only been observed in the ambient state. We then report the subsequent changes on cloud condensation nuclei (CCN) activation.
Aerosol–cloud interactions contribute the greatest uncertainty to cloud formation. Aerosol...
