Articles | Volume 17, issue 2
https://doi.org/10.5194/gmd-17-685-2024
https://doi.org/10.5194/gmd-17-685-2024
Model evaluation paper
 | 
26 Jan 2024
Model evaluation paper |  | 26 Jan 2024

Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1

Roya Ghahreman, Wanmin Gong, Paul A. Makar, Alexandru Lupu, Amanda Cole, Kulbir Banwait, Colin Lee, and Ayodeji Akingunola

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-86', Anonymous Referee #1, 20 Jul 2023
  • RC2: 'Comment on gmd-2023-86', Anonymous Referee #2, 24 Oct 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Roya Ghahreman on behalf of the Authors (06 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (10 Nov 2023) by Samuel Remy
RR by Anonymous Referee #2 (27 Nov 2023)
ED: Publish subject to minor revisions (review by editor) (06 Dec 2023) by Samuel Remy
AR by Roya Ghahreman on behalf of the Authors (07 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (19 Dec 2023) by Samuel Remy
AR by Roya Ghahreman on behalf of the Authors (19 Dec 2023)  Manuscript 
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Short summary
The article explores the impact of different representations of below-cloud scavenging on model biases. A new scavenging scheme and precipitation-phase partitioning improve the model's performance, with better SO42- scavenging and wet deposition of NO3- and NH4+.