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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Samuel Atwood on behalf of the Authors (03 Apr 2019)  Author's response 
ED: Referee Nomination & Report Request started (12 Apr 2019) by S. D. Miller
RR by Anonymous Referee #2 (18 Apr 2019)
RR by Anonymous Referee #1 (25 Apr 2019)
ED: Publish as is (25 Apr 2019) by S. D. Miller
AR by Samuel Atwood on behalf of the Authors (04 May 2019)
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