Articles | Volume 19, issue 10
https://doi.org/10.5194/acp-19-6931-2019
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, Sonia M. Kreidenweis, Paul J. DeMott, Markus D. Petters, Gavin C. Cornwell, Andrew C. Martin, and Kathryn A. Moore

Viewed

Total article views: 2,361 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,572 725 64 2,361 301 58 63
  • HTML: 1,572
  • PDF: 725
  • XML: 64
  • Total: 2,361
  • Supplement: 301
  • BibTeX: 58
  • EndNote: 63
Views and downloads (calculated since 03 Jan 2019)
Cumulative views and downloads (calculated since 03 Jan 2019)

Viewed (geographical distribution)

Total article views: 2,361 (including HTML, PDF, and XML) Thereof 2,092 with geography defined and 269 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Jul 2024
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.
Altmetrics
Final-revised paper
Preprint