Articles | Volume 21, issue 21
https://doi.org/10.5194/acp-21-16203-2021
https://doi.org/10.5194/acp-21-16203-2021
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

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Latest update: 24 Jun 2025
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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.
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