Articles | Volume 21, issue 16
Atmos. Chem. Phys., 21, 12273–12290, 2021
https://doi.org/10.5194/acp-21-12273-2021
Atmos. Chem. Phys., 21, 12273–12290, 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 et al.

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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
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
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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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