Articles | Volume 18, issue 1
https://doi.org/10.5194/amt-18-197-2025
https://doi.org/10.5194/amt-18-197-2025
Research article
 | 
15 Jan 2025
Research article |  | 15 Jan 2025

Fast and sensitive measurements of sub-3 nm particles using Condensation Particle Counters For Atmospheric Rapid Measurements (CPC FARM)

Darren Cheng, Stavros Amanatidis, Gregory S. Lewis, and Coty N. Jen

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Cited articles

Brock, C. A., Williamson, C., Kupc, A., Froyd, K. D., Erdesz, F., Wagner, N., Richardson, M., Schwarz, J. P., Gao, R.-S., Katich, J. M., Campuzano-Jost, P., Nault, B. A., Schroder, J. C., Jimenez, J. L., Weinzierl, B., Dollner, M., Bui, T., and Murphy, D. M.: Aerosol size distributions during the Atmospheric Tomography Mission (ATom): methods, uncertainties, and data products, Atmos. Meas. Tech., 12, 3081–3099, https://doi.org/10.5194/amt-12-3081-2019, 2019. 
Chan, T., Cai, R., Ahonen, L. R., Liu, Y., Zhou, Y., Vanhanen, J., Dada, L., Chao, Y., Liu, Y., Wang, L., Kulmala, M., and Kangasluoma, J.: Assessment of particle size magnifier inversion methods to obtain the particle size distribution from atmospheric measurements, Atmos. Meas. Tech., 13, 4885–4898, https://doi.org/10.5194/amt-13-4885-2020, 2020. 
Chen, D.-R., Pui, D. Y. H., Hummes, D., Fissan, H., Quant, F. R., and Sem, G. J.: Design and evaluation of a nanometer aerosol differential mobility analyzer (Nano-DMA), J. Aerosol Sci., 29, 497–509, https://doi.org/10.1016/S0021-8502(97)10018-0, 1998. 
Chen, H., Hodshire, A. L., Ortega, J., Greenberg, J., McMurry, P. H., Carlton, A. G., Pierce, J. R., Hanson, D. R., and Smith, J. N.: Vertically resolved concentration and liquid water content of atmospheric nanoparticles at the US DOE Southern Great Plains site, Atmos. Chem. Phys., 18, 311–326, https://doi.org/10.5194/acp-18-311-2018, 2018. 
Cheng, D., Amanatidis, S., Lewis, G. S., and Jen, C. N.: CPC FARM Data and Inversion Code, Kilthub [code, data set], https://doi.org/10.1184/R1/26748244.v1, 2024. 
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Short summary
This study describes a new method, the Condensation Particle Counters For Atmospheric Rapid Measurements (CPC FARM), to measure sub-3 nm size distribution at high time resolution and sensitivity. The CPC FARM is compared to traditionally used particle mobility sizers during a new particle formation campaign to study rapidly changing sub-3 nm particles in Pittsburgh, PA. 
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