Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 21, issue 21
Articles | Volume 21, issue 21
https://doi.org/10.5194/acp-21-16203-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-16203-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 21
Research article
 | 
04 Nov 2021
Research article |  | 04 Nov 2021

Revisiting adiabatic fraction estimations in cumulus clouds: high-resolution simulations with a passive tracer

Eshkol Eytan, Ilan Koren, Orit Altaratz, Mark Pinsky, and Alexander Khain

Viewed

Total article views: 3,280 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,077 1,104 99 3,280 94 105
  • HTML: 2,077
  • PDF: 1,104
  • XML: 99
  • Total: 3,280
  • BibTeX: 94
  • EndNote: 105
Views and downloads (calculated since 30 Apr 2021)
Cumulative views and downloads (calculated since 30 Apr 2021)

Viewed (geographical distribution)

Total article views: 3,280 (including HTML, PDF, and XML) Thereof 3,250 with geography defined and 30 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
Describing cloud mixing processes is among the most challenging fronts in cloud physics. Therefore, the adiabatic fraction (AF) that serves as a mixing measure is a valuable metric. We use high-resolution (10 m) simulations of single clouds with a passive tracer to test the skill of different methods used to derive AF. We highlight a method that is insensitive to the available cloud samples and allows considering microphysical effects on AF estimations in different environmental conditions.
Read more
Share
Altmetrics
Final-revised paper
Preprint