Articles | Volume 17, issue 21
https://doi.org/10.5194/gmd-17-7867-2024
https://doi.org/10.5194/gmd-17-7867-2024
Development and technical paper
 | 
07 Nov 2024
Development and technical paper |  | 07 Nov 2024

Exploring ship track spreading rates with a physics-informed Langevin particle parameterization

Lucas A. McMichael, Michael J. Schmidt, Robert Wood, Peter N. Blossey, and Lekha Patel

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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 egusphere-2024-235', Anonymous Referee #1, 05 May 2024
    • AC1: 'Reply on RC1', Lucas McMichael, 23 Jun 2024
  • RC2: 'Comment on egusphere-2024-235', Anonymous Referee #2, 27 May 2024
    • AC2: 'Reply on RC2', Lucas McMichael, 23 Jun 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Lucas McMichael on behalf of the Authors (24 Jun 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (22 Jul 2024) by Simon Unterstrasser
RR by Anonymous Referee #2 (09 Sep 2024)
ED: Publish as is (09 Sep 2024) by Simon Unterstrasser
AR by Lucas McMichael on behalf of the Authors (11 Sep 2024)  Manuscript 
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Short summary
Marine cloud brightening (MCB) is a climate intervention technique to potentially cool the climate. Climate models used to gauge regional climate impacts associated with MCB often assume large areas of the ocean are uniformly perturbed. However, a more realistic representation of MCB application would require information about how an injected particle plume spreads. This work aims to develop such a plume-spreading model.