Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 945-958, 2017
http://www.geosci-model-dev.net/10/945/2017/
doi:10.5194/gmd-10-945-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Development and technical paper
23 Feb 2017
A cloud feedback emulator (CFE, version 1.0) for an intermediate complexity model
David J. Ullman and Andreas Schmittner
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
SC1: 'Executive Editor Comment on "The University of Victoria Cloud Feedback Emulator (UVic-CFE): cloud radiative feedbacks in an intermediate complexity model"', Astrid Kerkweg, 26 Sep 2016 Printer-friendly Version 
AC1: 'Updated Title', David Ullman, 17 Jan 2017 Printer-friendly Version 
 
RC1: 'Review of “The University of Victoria Cloud Feedback Emulator (UVic-CFE): cloud radiative feedbacks in an intermediate complexity model”', Anonymous Referee #1, 11 Oct 2016 Printer-friendly Version 
AC2: 'Response to RC1', David Ullman, 18 Jan 2017 Printer-friendly Version Supplement 
 
RC2: 'Options applied to UVic runs', Anonymous Referee #2, 14 Oct 2016 Printer-friendly Version 
AC3: 'Response to RC2', David Ullman, 18 Jan 2017 Printer-friendly Version Supplement 
 
EC1: 'Editor comment', Klaus Gierens, 07 Nov 2016 Printer-friendly Version 
AC4: 'Response to EC1', David Ullman, 18 Jan 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (20 Jan 2017)  Author's response  Manuscript
ED: Publish subject to technical corrections (27 Jan 2017) by Dr Klaus Gierens  
Publications Copernicus
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Short summary
One major source of uncertainty in the prediction of climate relates to how models simulate clouds and their impact on surface temperatures. We have developed a new method for incorporating the cloud results as derived from complex climate models and applying these results to a more simplified model. The benefit with this approach is that a more simplified model is able to be run more efficiently, while still maintaining complicated cloud effects and their effect on surface temperatures.
One major source of uncertainty in the prediction of climate relates to how models simulate...
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