Articles | Volume 21, issue 16
https://doi.org/10.5194/acp-21-12273-2021
https://doi.org/10.5194/acp-21-12273-2021
Research article
 | 
17 Aug 2021
Research article |  | 17 Aug 2021

Understanding the model representation of clouds based on visible and infrared satellite observations

Stefan Geiss, Leonhard Scheck, Alberto de Lozar, and Martin Weissmann

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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 acp-2021-5', Anonymous Referee #1, 01 Apr 2021
    • AC1: 'Reply on RC1', Stefan Geiss, 17 Jun 2021
  • RC2: 'Comment on acp-2021-5', Matthew Igel, 09 Apr 2021
    • AC2: 'Reply on RC2', Stefan Geiss, 17 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Stefan Geiss on behalf of the Authors (17 Jun 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Jun 2021) by Philip Stier
RR by Matthew Igel (09 Jul 2021)
RR by Anonymous Referee #1 (13 Jul 2021)
ED: Publish subject to minor revisions (review by editor) (15 Jul 2021) by Philip Stier
AR by Stefan Geiss on behalf of the Authors (16 Jul 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (19 Jul 2021) by Philip Stier
AR by Stefan Geiss on behalf of the Authors (19 Jul 2021)  Manuscript 
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Short summary
This study demonstrates the benefits of using both visible and infrared satellite channels to evaluate clouds in numerical weather prediction models. Combining these highly resolved observations provides significantly more and complementary information than using only infrared observations. The visible observations are particularly sensitive to subgrid water clouds, which are not well constrained by other observations.
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