Articles | Volume 26, issue 10
https://doi.org/10.5194/acp-26-7407-2026
https://doi.org/10.5194/acp-26-7407-2026
Research article
 | 
29 May 2026
Research article |  | 29 May 2026

A modified stratiform cloud microphysics parameterization: evaluation using the Community Atmosphere Model version 6 single-column model

Chandra Shekhar Pant, Deepak Waman, Sachin Patade, Akash Deshmukh, Niharika Singh, Vaughan Phillips, and Aaron Bansemer

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Chandra Shekhar Pant on behalf of the Authors (26 Jan 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (18 Feb 2026) by Simone Tilmes
RR by Anonymous Referee #2 (06 Mar 2026)
RR by Anonymous Referee #1 (15 Mar 2026)
ED: Publish subject to technical corrections (07 Apr 2026) by Simone Tilmes
AR by Chandra Shekhar Pant on behalf of the Authors (15 Apr 2026)  Author's response   Manuscript 

Post-review adjustments

AA – Author's adjustment | EA – Editor approval
AA by Chandra Shekhar Pant on behalf of the Authors (04 May 2026)   Author's adjustment   Manuscript
EA: Adjustments approved (07 May 2026) by Simone Tilmes
AA by Chandra Shekhar Pant on behalf of the Authors (18 May 2026)   Author's adjustment   Manuscript
EA: Adjustments approved (26 May 2026) by Simone Tilmes
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Short summary
Large-scale stratiform clouds play a decisive role in the Earth's radiation budget and precipitation patterns, yet global models historically exhibit major biases in their simulations. Our study addresses these gaps by implementing physically-based representations of secondary ice production pathways and advanced aerosol activation schemes, including bin-bulk microphysics. These improvements enable the robust simulation of both cloud droplet and ice formation.
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