Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 23, issue 22
Articles | Volume 23, issue 22
https://doi.org/10.5194/acp-23-14293-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-14293-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 22
Research article
 | 
20 Nov 2023
Research article |  | 20 Nov 2023

Quantifying the dependence of drop spectrum width on cloud drop number concentration for cloud remote sensing

Matthew D. Lebsock and Mikael Witte

Viewed

Total article views: 2,877 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,852 843 182 2,877 363 207 310
  • HTML: 1,852
  • PDF: 843
  • XML: 182
  • Total: 2,877
  • Supplement: 363
  • BibTeX: 207
  • EndNote: 310
Views and downloads (calculated since 14 Jun 2023)
Cumulative views and downloads (calculated since 14 Jun 2023)

Viewed (geographical distribution)

Total article views: 2,877 (including HTML, PDF, and XML) Thereof 2,820 with geography defined and 57 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 02 Aug 2026
Download
Short summary
This paper evaluates measurements of cloud drop size distributions made from airplanes. We find that as the number of cloud drops increases the distribution of the cloud drop sizes narrows. The data are used to develop a simple equation that relates the drop number to the width of the drop sizes. We then use this equation to demonstrate that existing approaches to observe the drop number from satellites contain errors that can be corrected by including the new relationship.
Read more
Share
Altmetrics
Final-revised paper
Preprint