Articles | Volume 19, issue 10
Atmos. Chem. Phys., 19, 6931–6947, 2019
https://doi.org/10.5194/acp-19-6931-2019

Special issue: Holistic Analysis of Aerosol in Littoral Environments - A...

Atmos. Chem. Phys., 19, 6931–6947, 2019
https://doi.org/10.5194/acp-19-6931-2019

Research article 23 May 2019

Research article | 23 May 2019

Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model

Samuel A. Atwood et al.

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Cited articles

Andreae, M. O. and Rosenfeld, D.: Aerosol–cloud–precipitation interactions, Part 1. The nature and sources of cloud-active aerosols, Earth-Sci. Rev., 89, 13–41, https://doi.org/10.1016/j.earscirev.2008.03.001, 2008. 
Baarsch, J. and Celebi, M. E.: Investigation of internal validity measures for K-means clustering, in: Proceedings of the International MultiConference of Engineers and Computer Scientists, 1, 14–16, available at: http://www.iaeng.org/publication/IMECS2012/IMECS2012_pp471-476.pdf (last access: 19 November 2015), 2012. 
Bates, T. S., Quinn, P. K., Covert, D. S., Coffman, D. J., Johnson, J. E., and Wiedensohler, A.: Aerosol physical properties and processes in the lower marine boundary layer: a comparison of shipboard sub-micron data from ACE-1 and ACE-2, Tellus B, 52, 258–272, https://doi.org/10.1034/j.1600-0889.2000.00021.x, 2000. 
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This paper presents measurements of aerosol particles at a coastal location. The particles were classified into distinct aerosol types using both microphysical measurements and meteorological information, allowing rapid changes between the aerosol types to be reliably identified. These particles can alter cloud and precipitation processes, and inclusion of the differences between types can improve atmospheric models and remote sensing retrievals in littoral zones.
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