Articles | Volume 24, issue 14
https://doi.org/10.5194/acp-24-8085-2024
https://doi.org/10.5194/acp-24-8085-2024
Research article
 | 
17 Jul 2024
Research article |  | 17 Jul 2024

Evaluating the representation of Arctic cirrus solar radiative effects in the Integrated Forecasting System with airborne measurements

Johannes Röttenbacher, André Ehrlich, Hanno Müller, Florian Ewald, Anna E. Luebke, Benjamin Kirbus, Robin J. Hogan, and Manfred Wendisch

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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-2024-281', Anonymous Referee #1, 03 Apr 2024
    • AC1: 'Reply on RC1', Johannes Röttenbacher, 17 May 2024
  • RC2: 'Comment on egusphere-2024-281', Anonymous Referee #2, 17 Apr 2024
    • AC2: 'Reply on RC2', Johannes Röttenbacher, 17 May 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Johannes Röttenbacher on behalf of the Authors (17 May 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (17 May 2024) by Martina Krämer
RR by Anonymous Referee #1 (29 May 2024)
ED: Publish as is (03 Jun 2024) by Martina Krämer
AR by Johannes Röttenbacher on behalf of the Authors (04 Jun 2024)  Manuscript 
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Short summary
Weather prediction models simplify the physical processes related to light scattering by clouds consisting of complex ice crystals. Whether these simplifications are the cause for uncertainties in their prediction can be evaluated by comparing them with measurement data. Here we do this for Arctic ice clouds over sea ice using airborne measurements from two case studies. The model performs well for thick ice clouds but not so well for thin ones. This work can be used to improve the model.
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