Articles | Volume 15, issue 4
https://doi.org/10.5194/amt-15-1007-2022
https://doi.org/10.5194/amt-15-1007-2022
Research article
 | 
25 Feb 2022
Research article |  | 25 Feb 2022

Cloud condensation nuclei (CCN) activity analysis of low-hygroscopicity aerosols using the aerodynamic aerosol classifier (AAC)

Kanishk Gohil and Akua A. Asa-Awuku

Related authors

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

Related subject area

Subject: Aerosols | Technique: Laboratory Measurement | Topic: Instruments and Platforms
Determining optimal sampling conditions in the TSI Nanometer Aerosol Sampler 3089
Behnaz Alinaghipour, Sadegh Niazi, Robert Groth, Branka Miljevic, and Zoran Ristovski
Atmos. Meas. Tech., 18, 1063–1071, https://doi.org/10.5194/amt-18-1063-2025,https://doi.org/10.5194/amt-18-1063-2025, 2025
Short summary
Characterization of filter photometer artefacts in soot and dust measurements – laboratory and ambient experiments using a traceably-calibrated aerosol absorption reference
Jesús Yus-Díez, Luka Drinovec, Lucas Alados-Arboledas, Gloria Titos, Elena Bazo, Andrea Casans, Diego Patrón, Xavier Querol, Adolfo Gonzalez-Romero, Carlos Perez García-Pando, and Griša Močnik
EGUsphere, https://doi.org/10.5194/egusphere-2024-3995,https://doi.org/10.5194/egusphere-2024-3995, 2025
Short summary
A novel methodology for assessing the hygroscopicity of aerosol filter samples
Nagendra Raparthi, Anthony S. Wexler, and Ann M. Dillner
Atmos. Meas. Tech., 18, 603–618, https://doi.org/10.5194/amt-18-603-2025,https://doi.org/10.5194/amt-18-603-2025, 2025
Short summary
Direct calibration using atmospheric particles and performance evaluation of Particle Size Magnifier (PSM) 2.0 for sub-10 nm particle measurements
Yiliang Liu, Arttu Yli-Kujala, Fabian Schmidt-Ott, Sebastian Holm, Lauri Ahonen, Tommy Chan, Joonas Enroth, Joonas Vanhanen, Runlong Cai, Tuukka Petäjä, Markku Kulmala, Yang Chen, and Juha Kangasluoma
Atmos. Meas. Tech., 18, 431–442, https://doi.org/10.5194/amt-18-431-2025,https://doi.org/10.5194/amt-18-431-2025, 2025
Short summary
The Coupling of a High-efficiency Aerosol Collector with Electrospray Ionisation/Orbitrap Mass Spectrometry as a novel tool for Real-time Chemical Characterisation of Fine and Ultrafine Particles
Yik-Sze Lau, Zoran Ristovski, and Branka Miljevic
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-192,https://doi.org/10.5194/amt-2024-192, 2025
Revised manuscript accepted for AMT
Short summary

Cited articles

Barati, F., Yao, Q., and Asa-Awuku, A. A.: Insight into the Role of Water-Soluble Organic Solvents for the Cloud Condensation Nuclei Activation of Cholesterol, ACS Earth and Space Chemistry, 3, 1697–1705, 2019. a, b, c, d
Chein, H. and Lundgren, D. A.: A virtual impactor with clean air core for the generation of aerosols with narrow size distributions, Aerosol Sci. Tech., 18, 376–388, 1993. a
Conner, W. D.: An inertial-type particle separator for collecting large samples, JAPCA J. Air Waste Ma., 16, 35–38, 1966. a
Dawson, J. N., Malek, K. A., Razafindrambinina, P. N., Raymond, T. M., Dutcher, D. D., Asa-Awuku, A. A., and Freedman, M. A.: Direct Comparison of the Submicron Aerosol Hygroscopicity of Water-Soluble Sugars, ACS Earth and Space Chemistry, 4, 2215–2226, 2020. a, b, c, d, e
Flagan, R. C.: Opposed migration aerosol classifier (OMAC), Aerosol Sci. Tech., 38, 890–899, 2004. a
Download
Short summary
This work develops a methodology and software to study and analyze the cloud-droplet-forming ability of aerosols with an aerodynamic aerosol classifier (AAC). This work quantifies the uncertainties in size-resolved measurements and subsequent uncertainties propagated to cloud droplet parameterizations. Lastly, we present the best practices for AAC cloud droplet measurement.
Share