The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2

Swales, Dustin J.; Pincus, Robert; Bodas-Salcedo, Alejandro

doi:https://doi.org/10.5194/gmd-11-77-2018

Articles | Volume 11, issue 1

https://doi.org/10.5194/gmd-11-77-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-11-77-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 1

Development and technical paper

|

09 Jan 2018

Development and technical paper |

| 09 Jan 2018

The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2

Dustin J. Swales, Robert Pincus, and Alejandro Bodas-Salcedo

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Final revised paper (published on 09 Jan 2018)
Preprint (discussion started on 08 Aug 2017)

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'Links to the COSP source code', Bastian Kern, 09 Aug 2017
- SC2: 'Re: Links to the COSP source code', Dustin Swales, 09 Aug 2017
RC1: 'Excellent article, very minor corrections', Anonymous Referee #1, 13 Sep 2017
- AC2: 'Response to RC #1', Dustin Swales, 06 Nov 2017
RC2: 'Well written manuscript, some minor comments', Bastian Kern, 14 Sep 2017
- AC3: 'Response to RC #2', Dustin Swales, 06 Nov 2017
SC3: 'Code Access using DOI', Lutz Gross, 11 Oct 2017
- AC1: 'Re: Code Access using DOI', Dustin Swales, 06 Nov 2017

Peer-review completion

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

AR by Dustin Swales on behalf of the Authors (06 Nov 2017) Manuscript

ED: Publish as is (23 Nov 2017) by Klaus Gierens

AR by Dustin Swales on behalf of the Authors (29 Nov 2017)

Short summary

This paper introduces a new version of diagnostic software (COSP2) intended to facilitate more straightforward comparisons between climate models and observational cloud datasets. This version allows users to more closely incorporate their own models assumptions within COSP, while also being computationally more efficient and straightforward for users to extend and build upon.