1College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331 USA
anow at: Northland College, Ashland, WI, USA
Received: 20 Aug 2016 – Discussion started: 26 Sep 2016
Abstract. The dominant source of inter-model differences in comprehensive global climate models (GCMs) are cloud radiative effects on Earth's energy budget. Intermediate complexity models, while able to run more efficiently, often lack cloud feedbacks. Here, we describe and evaluate a method for applying GCM-derived shortwave and longwave cloud feedbacks from 4 × CO2 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.
Revised: 18 Jan 2017 – Accepted: 27 Jan 2017 – Published: 23 Feb 2017
Ullman, D. J. and Schmittner, A.: A cloud feedback emulator (CFE, version 1.0) for an intermediate complexity model, Geosci. Model Dev., 10, 945-958, doi:10.5194/gmd-10-945-2017, 2017.