Articles | Volume 12, issue 8
https://doi.org/10.5194/amt-12-4277-2019
https://doi.org/10.5194/amt-12-4277-2019
Research article
 | 
08 Aug 2019
Research article |  | 08 Aug 2019

External and internal cloud condensation nuclei (CCN) mixtures: controlled laboratory studies of varying mixing states

Diep Vu, Shaokai Gao, Tyler Berte, Mary Kacarab, Qi Yao, Kambiz Vafai, and Akua Asa-Awuku

Related authors

Biomass-burning smoke's properties and its interactions with marine stratocumulus clouds in WRF-CAM5 and southeastern Atlantic field campaigns
Calvin Howes, Pablo E. Saide, Hugh Coe, Amie Dobracki, Steffen Freitag, Jim M. Haywood, Steven G. Howell, Siddhant Gupta, Janek Uin, Mary Kacarab, Chongai Kuang, L. Ruby Leung, Athanasios Nenes, Greg M. McFarquhar, James Podolske, Jens Redemann, Arthur J. Sedlacek, Kenneth L. Thornhill, Jenny P. S. Wong, Robert Wood, Huihui Wu, Yang Zhang, Jianhao Zhang, and Paquita Zuidema
Atmos. Chem. Phys., 23, 13911–13940, https://doi.org/10.5194/acp-23-13911-2023,https://doi.org/10.5194/acp-23-13911-2023, 2023
Short summary
Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic
Emily D. Lenhardt, Lan Gao, Jens Redemann, Feng Xu, Sharon P. Burton, Brian Cairns, Ian Chang, Richard A. Ferrare, Chris A. Hostetler, Pablo E. Saide, Calvin Howes, Yohei Shinozuka, Snorre Stamnes, Mary Kacarab, Amie Dobracki, Jenny Wong, Steffen Freitag, and Athanasios Nenes
Atmos. Meas. Tech., 16, 2037–2054, https://doi.org/10.5194/amt-16-2037-2023,https://doi.org/10.5194/amt-16-2037-2023, 2023
Short summary
A single-parameter hygroscopicity model for functionalized insoluble aerosol surfaces
Chun-Ning Mao, Kanishk Gohil, and Akua A. Asa-Awuku
Atmos. Chem. Phys., 22, 13219–13228, https://doi.org/10.5194/acp-22-13219-2022,https://doi.org/10.5194/acp-22-13219-2022, 2022
Short summary
Hybrid water adsorption and solubility partitioning for aerosol hygroscopicity and droplet growth
Kanishk Gohil, Chun-Ning Mao, Dewansh Rastogi, Chao Peng, Mingjin Tang, and Akua Asa-Awuku
Atmos. Chem. Phys., 22, 12769–12787, https://doi.org/10.5194/acp-22-12769-2022,https://doi.org/10.5194/acp-22-12769-2022, 2022
Short summary
Cloud condensation nuclei (CCN) activity analysis of low-hygroscopicity aerosols using the aerodynamic aerosol classifier (AAC)
Kanishk Gohil and Akua A. Asa-Awuku
Atmos. Meas. Tech., 15, 1007–1019, https://doi.org/10.5194/amt-15-1007-2022,https://doi.org/10.5194/amt-15-1007-2022, 2022
Short summary

Related subject area

Subject: Aerosols | Technique: Laboratory Measurement | Topic: Data Processing and Information Retrieval
Theoretical derivation of aerosol lidar ratio using Mie theory for CALIOP-CALIPSO and OPAC aerosol models
Radhika A. Chipade and Mehul R. Pandya
Atmos. Meas. Tech., 16, 5443–5459, https://doi.org/10.5194/amt-16-5443-2023,https://doi.org/10.5194/amt-16-5443-2023, 2023
Short summary
An extraction method for nitrogen isotope measurement of ammonium in a low-concentration environment
Alexis Lamothe, Joel Savarino, Patrick Ginot, Lison Soussaintjean, Elsa Gautier, Pete D. Akers, Nicolas Caillon, and Joseph Erbland
Atmos. Meas. Tech., 16, 4015–4030, https://doi.org/10.5194/amt-16-4015-2023,https://doi.org/10.5194/amt-16-4015-2023, 2023
Short summary
Estimation of secondary organic aerosol formation parameters for the volatility basis set combining thermodenuder, isothermal dilution, and yield measurements
Petro Uruci, Dontavious Sippial, Anthoula Drosatou, and Spyros N. Pandis
Atmos. Meas. Tech., 16, 3155–3172, https://doi.org/10.5194/amt-16-3155-2023,https://doi.org/10.5194/amt-16-3155-2023, 2023
Short summary
Characterization of offline analysis of particulate matter with FIGAERO-CIMS
Jing Cai, Kaspar R. Daellenbach, Cheng Wu, Yan Zheng, Feixue Zheng, Wei Du, Sophie L. Haslett, Qi Chen, Markku Kulmala, and Claudia Mohr
Atmos. Meas. Tech., 16, 1147–1165, https://doi.org/10.5194/amt-16-1147-2023,https://doi.org/10.5194/amt-16-1147-2023, 2023
Short summary
Mass spectrometry-based Aerosolomics: a new approach to resolve sources, composition, and partitioning of secondary organic aerosol
Markus Thoma, Franziska Bachmeier, Felix Leonard Gottwald, Mario Simon, and Alexander Lucas Vogel
Atmos. Meas. Tech., 15, 7137–7154, https://doi.org/10.5194/amt-15-7137-2022,https://doi.org/10.5194/amt-15-7137-2022, 2022
Short summary

Cited articles

Abbatt, J. P. D., Broekhuizen, K., and Kumar, P. P.: Cloud condensation nucleus activity of internally mixed ammonium sulfate/organic acid aerosol particles, Atmos. Environ., 39, 4767–4778, 2005. 
Almeida, G. P., Brito, J., Morales, C. A., Andrade, M. F., and Artaxo, P.: Measured and modelled cloud condensation nuclei (CCN) concentration in São Paulo, Brazil: the importance of aerosol size-resolved chemical composition on CCN concentration prediction, Atmos. Chem. Phys., 14, 7559–7572, https://doi.org/10.5194/acp-14-7559-2014, 2014. 
Altaf, M. B. Dutcher, D. D. Raymond, T. M., and Freedman, M. A.: Effect of Particle Morphology on Cloud Condensation Nuclei Activity, ACS Earth and Space Chem., 8, 3613–3618, https://doi.org/10.1021/acsearthspacechem.7b00146 2018. 
Asa-Awuku, A., Moore, R., Nenes, A., Bahreini, R., Brock, C. A., Middlebrook, A., Holloway, J., Ryerson, T., Jimenez, J., DeCarlo, P., Hecobian, A., Weber, R., Tanner, D., Stickel, R., and Huey L. G.: Airborne Cloud Condensation Nuclei Measurements during the 2006 Texas Air Quality Study, J. Geophys. Res., 116, D11201, https://doi.org/10.1029/2010JD014874 2011. 
Bhattu, D. and Tripathi, S. N.: CCN closure study: Effects of aerosol chemical composition and mixing state, J. Geophys. Res.-Atmos., 120, 766–783, https://doi.org/10.1002/2014JD021978, 2015. 
Download
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.