Energy Conservation Program: Energy Conservation Standards for Commercial and Industrial Electric Motors; Notice of proposed rulemaking (NOPR) and public meeting

[1]  Reto Knutti,et al.  Energy budget constraints on climate response , 2013 .

[2]  J. Annan,et al.  On the generation and interpretation of probabilistic estimates of climate sensitivity , 2011 .

[3]  P. Guttorp,et al.  Bayesian estimation of climate sensitivity based on a simple climate model fitted to observations of hemispheric temperatures and global ocean heat content , 2012 .

[4]  Richard S. J. Tol,et al.  The Marginal Damage Costs of Different Greenhouse Gases: An Application of FUND , 2014 .

[5]  J. H. Hateren A fractal climate response function can simulate global average temperature trends of the modern era and the past millennium , 2011, 1111.5177.

[6]  R. Lindzen,et al.  On the observational determination of climate sensitivity and its implications , 2010 .

[7]  N. Lewis An Objective Bayesian Improved Approach for Applying Optimal Fingerprint Techniques to Estimate Climate Sensitivity , 2013 .

[8]  R. Pindyck Climate Change Policy: What Do the Models Tell Us? , 2013 .

[9]  S. Bony,et al.  Spread in model climate sensitivity traced to atmospheric convective mixing , 2014, Nature.

[10]  N. Mahowald,et al.  Climate Sensitivity Estimated from Temperature Reconstructions of the Last Glacial Maximum , 2011, Science.

[11]  Roy W. Spencer,et al.  The role of ENSO in global ocean temperature changes during 1955–2011 simulated with a 1D climate model , 2014, Asia-Pacific Journal of Atmospheric Sciences.

[12]  T. Masters Observational estimate of climate sensitivity from changes in the rate of ocean heat uptake and comparison to CMIP5 models , 2014, Climate Dynamics.

[13]  Michael E. Schlesinger,et al.  Causes of the Global Warming Observed since the 19th Century , 2012 .

[14]  Frank Ackerman,et al.  Climate damages in the FUND model: A disaggregated analysis , 2012 .