Articles | Volume 21, issue 21
Atmos. Chem. Phys., 21, 16203–16217, 2021
https://doi.org/10.5194/acp-21-16203-2021
Atmos. Chem. Phys., 21, 16203–16217, 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 et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-334', Anonymous Referee #1, 15 Jun 2021
  • RC2: 'Comment on acp-2021-334', Anonymous Referee #2, 19 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ilan Koren on behalf of the Authors (24 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (29 Jul 2021) by Hang Su
RR by Anonymous Referee #2 (09 Aug 2021)
RR by Anonymous Referee #1 (31 Aug 2021)
ED: Publish subject to minor revisions (review by editor) (04 Sep 2021) by Hang Su
AR by Ilan Koren on behalf of the Authors (29 Sep 2021)  Author's response    Manuscript
ED: Publish as is (11 Oct 2021) by Hang Su
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.
Altmetrics
Final-revised paper
Preprint