Articles | Volume 26, issue 21
https://doi.org/10.5194/acp-26-15785-2026
https://doi.org/10.5194/acp-26-15785-2026
Research article
 | 
10 Nov 2026
Research article |  | 10 Nov 2026

Explicit numerical simulations of hailstorm seeding with a three–moment microphysics cloud–resolving model: a comparison of two operational methodologies for hail suppression

Darko Savić, Vladan Vučković, and Dragana Vujović

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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 Darko Savic on behalf of the Authors (15 Jul 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Jul 2026) by Luisa Ickes
RR by Julia Kukulies (28 Jul 2026)
RR by Anonymous Referee #1 (10 Aug 2026)
ED: Reconsider after major revisions (09 Sep 2026) by Luisa Ickes
AR by Darko Savic on behalf of the Authors (22 Sep 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (13 Oct 2026) by Luisa Ickes
RR by Anonymous Referee #1 (20 Oct 2026)
ED: Publish subject to technical corrections (03 Nov 2026) by Luisa Ickes
AR by Darko Savic on behalf of the Authors (04 Nov 2026)  Manuscript 
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Short summary
Due to rising economic losses from the hailstorms, it is important to evaluate the effectiveness of hail suppression. This research examines how cloud seeding affects hail characteristics using a three-dimensional numerical model. Simulations show that both seeding methodologies significantly reduce hail kinetic energy and potential crop damage, providing a better understanding of hail suppression effectiveness.
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