Articles | Volume 14, issue 6
Geosci. Model Dev., 14, 3663–3682, 2021
https://doi.org/10.5194/gmd-14-3663-2021
Geosci. Model Dev., 14, 3663–3682, 2021
https://doi.org/10.5194/gmd-14-3663-2021

Development and technical paper 22 Jun 2021

Development and technical paper | 22 Jun 2021

Towards an improved treatment of cloud–radiation interaction in weather and climate models: exploring the potential of the Tripleclouds method for various cloud types using libRadtran 2.0.4

Nina Črnivec and Bernhard Mayer

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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 gmd-2020-297', Hartwig Deneke, 22 Feb 2021
  • RC2: 'Comment on gmd-2020-297', Robin Hogan, 16 Mar 2021
  • AC1: 'Comment on gmd-2020-297', Nina Crnivec, 13 Apr 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Nina Crnivec on behalf of the Authors (13 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (14 Apr 2021) by Sylwester Arabas
RR by Robin Hogan (11 May 2021)
ED: Publish as is (18 May 2021) by Sylwester Arabas
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Short summary
This study aims to advance the cloud–radiation interplay treatment in global weather and climate prediction, focusing on cloud horizontal inhomogeneity misrepresentation. We explore the potential of the Tripleclouds method for diverse cloud types, namely the stratocumulus, cirrus and cumulonimbus. The validity of global cloud variability estimate with various condensate distribution assumptions is assessed. Optimizations for overcast and extremely heterogeneous cloudiness are further endorsed.