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wg:ptof:paperseval [2018/09/06 10:42]
jules created
wg:ptof:paperseval [2018/09/13 12:23] (current)
brierley [The University of Victoria Cloud Feedback Emulator (UVic-CFE): cloud radiative feedbacks in an intermediate complexity model] Updated this reference, as it is now published
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 Chronological by publication date, most recent first: Chronological by publication date, most recent first:
  
-==== The University of Victoria Cloud Feedback Emulator ​(UVic-CFE): cloud radiative feedbacks in an intermediate complexity model ==== +==== A cloud feedback emulator ​(CFE, version 1.0for an intermediate complexity model ==== 
-In review at GMDdoi:10.5194/gmd-2016-220 +UllmanDJ. and Schmittner, A. (2017) Geosci. Model Dev., 10, 945-958. [[https://doi.org/10.5194/gmd-10-945-2017|open access]]
-http://www.geosci-model-dev-discuss.net/gmd-2016-220/ (open access)+
  
 from the abstract: ''​Here,​ we describe and evaluate a method for applying GCM-derived shortwave and longwave cloud feedbacks from 4xCO2 and Last Glacial Maximum experiments to the University of Victoria Earth System Climate Model. The method generally captures the spread in top-of-the-atmosphere radiative feedbacks between the original GCMs, which impacts the magnitude and spatial distribution of surface temperature changes and climate sensitivity. These results suggest that the method is suitable to incorporate multi-model cloud feedback uncertainties in ensemble simulations with a single intermediate complexity model.''​ from the abstract: ''​Here,​ we describe and evaluate a method for applying GCM-derived shortwave and longwave cloud feedbacks from 4xCO2 and Last Glacial Maximum experiments to the University of Victoria Earth System Climate Model. The method generally captures the spread in top-of-the-atmosphere radiative feedbacks between the original GCMs, which impacts the magnitude and spatial distribution of surface temperature changes and climate sensitivity. These results suggest that the method is suitable to incorporate multi-model cloud feedback uncertainties in ensemble simulations with a single intermediate complexity model.''​