Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 19, issue 10
Articles | Volume 19, issue 10
https://doi.org/10.5194/acp-19-6931-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-19-6931-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 10
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, Sonia M. Kreidenweis, Paul J. DeMott, Markus D. Petters, Gavin C. Cornwell, Andrew C. Martin, and Kathryn A. Moore

Viewed

Total article views: 3,040 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,051 903 86 3,040 406 115 132
  • HTML: 2,051
  • PDF: 903
  • XML: 86
  • Total: 3,040
  • Supplement: 406
  • BibTeX: 115
  • EndNote: 132
Views and downloads (calculated since 03 Jan 2019)
Cumulative views and downloads (calculated since 03 Jan 2019)

Viewed (geographical distribution)

Total article views: 3,040 (including HTML, PDF, and XML) Thereof 2,770 with geography defined and 270 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download
Short summary
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.
Read more
Share
Special issue
Holistic Analysis of Aerosol in Littoral Environments - A...
Altmetrics
Final-revised paper
Preprint