Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP)

Hogan, Robin J.; Matricardi, Marco

doi:https://doi.org/10.5194/gmd-13-6501-2020

Articles | Volume 13, issue 12

https://doi.org/10.5194/gmd-13-6501-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-13-6501-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 12

Model experiment description paper

|

22 Dec 2020

Model experiment description paper |

| 22 Dec 2020

Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP)

Robin J. Hogan and Marco Matricardi

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Final revised paper (published on 22 Dec 2020)
Preprint (discussion started on 09 Jun 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'General / major / minor comments re CKDMIP manuscript', Anonymous Referee #1, 12 Jul 2020
- AC1: 'Response to referee 1', Robin Hogan, 23 Sep 2020
RC2: 'Referee Comment', Anonymous Referee #2, 04 Sep 2020
- AC2: 'Response to referee 2', Robin Hogan, 23 Sep 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Robin Hogan on behalf of the Authors (15 Oct 2020) Author's response Manuscript

ED: Publish subject to technical corrections (24 Oct 2020) by Richard Neale

AR by Robin Hogan on behalf of the Authors (28 Oct 2020) Author's response Manuscript

Short summary

A key component of computer models used to predict weather and climate is the radiation scheme, which calculates how solar and infrared radiation heats and cools the atmosphere and surface, including the important role of greenhouse gases. This paper describes the experimental protocol and large datasets for a new project, CKDMIP, to evaluate and improve the accuracy of the treatment of atmospheric gases in the radiation schemes used worldwide, as well as their computational speed.