Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 4285-4305, 2017
https://doi.org/10.5194/gmd-10-4285-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
27 Nov 2017
The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models
Yoko Tsushima et al.
Download
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'gmd-2017-69: Referee Comment', Anonymous Referee #1, 21 Jun 2017 Printer-friendly Version 
AC1: 'Response to comments from Referee #1', YOKO TSUSHIMA, 28 Jul 2017 Printer-friendly Version 
 
RC2: 'The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models by tsushima et al.', Anonymous Referee #2, 01 Jul 2017 Printer-friendly Version 
AC2: 'Response to Comments from Referee #2', YOKO TSUSHIMA, 28 Jul 2017 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (31 Jul 2017)  Author's response  Manuscript
ED: Publish subject to minor revisions (Editor review) (05 Sep 2017) by Simon Unterstrasser  
AR by Anna Wenzel on behalf of the Authors (19 Sep 2017)  Author's response  Manuscript
ED: Publish as is (21 Sep 2017) by Simon Unterstrasser  
CC BY 4.0
Publications Copernicus
Download
Short summary
Cloud feedback is the largest uncertainty associated with estimates of climate sensitivity. Diagnostics have been developed to evaluate cloud processes in climate models. For this understanding to be reflected in better estimates of cloud feedbacks, it is vital to continue to develop such tools and to exploit them fully during the model development process. Code repositories have been created to store and document the programs which will allow climate modellers to compute these diagnostics.
Cloud feedback is the largest uncertainty associated with estimates of climate sensitivity....
Share