Articles | Volume 10, issue 2
Geosci. Model Dev., 10, 945–958, 2017
https://doi.org/10.5194/gmd-10-945-2017
Geosci. Model Dev., 10, 945–958, 2017
https://doi.org/10.5194/gmd-10-945-2017

Development and technical paper 23 Feb 2017

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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - 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 Klaus Gierens
Download
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.