The authors thank Ray Pierrehumbert and participants in the University of Chicago’s 2008 Workshop on Modeling Uncertainty in Integrated Climate Assessment Models for valuable discussion that helped initiate this project and Matt Huber, Lan Zhao, and Wonjun Lee for computational assistance. We also thank the reviewers for many helpful recommendations leading to improvements in the substance and presentation in this paper. This work is part of the Center for Robust Decision-making on Climate and Energy Policy (RDCEP): funding was provided by grants from the University of Chicago (UC) Energy Initiative; from the University of Chicago and the Department of Energy under section H.44 of DOE Contract DE-AC02-07CH11359 awarded to Fermi Research Alliance, LLC; from STATMOS, an NSF-funded Network (NSF-DMS Awards 1106862, 1106974, and 1107046); and from the NSF Decision Making Under Uncertainty program (NSF Grant SES-0951576). Simulations were performed on “Fusion,” a 320-node computing cluster operated by the Laboratory Computing Resource Center at Argonne National Laboratory and on TeraGrid resources operated by Purdue University. Gary Strand (NCAR) provided CCSM3 restart files. Data storage was provided by PADS (NSF Grant OCI-0821678) at the Computation Institute, a joint initiative between the UC and ANL.
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