Climate projections for the fourth assessment report1 (AR4) of the Intergovernmental Panel on Climate Change (IPCC) were based on scenarios from the Special Report on Emissions Scenarios2 (SRES) and simulations of the third phase of the Coupled Model Intercomparison Project3 (CMIP3). Since then, a new set of four scenarios (the representative concentration pathways or RCPs) was designed4. Climate projections in the IPCC fifth assessment report (AR5) will be based on the fifth phase of the Coupled Model Intercomparison Project5 (CMIP5), which incorporates the latest versions of climate models and focuses on RCPs. This implies that by AR5 both models and scenarios will have changed, making a comparison with earlier literature challenging. To facilitate this comparison, we provide probabilistic climate projections of both SRES scenarios and RCPs in a single consistent framework. These estimates are based on a model set-up that probabilistically takes into account the overall consensus understanding of climate sensitivity uncertainty, synthesizes the understanding of climate system and carbon-cycle behaviour, and is at the same time constrained by the observed historical warming.
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IPCC Climate Change 2007: The Physical Science Basis (eds Solomon, S. et al.) (Cambridge Univ. Press, 2007).
IPCC Special Report on Emissions Scenarios (eds Nakicenovic, N. & Swart, R.) (Cambridge Univ. Press, 2000).
Meehl, G. A., Covey, C., McAvaney, B., Latif, M. & Stouffer, R. J. Overview of the coupled model intercomparison project. Bull. Am. Meteorol. Soc. 86, 89–93 (2005).
Moss, R. H. et al. The next generation of scenarios for climate change research and assessment. Nature 463, 747–756 (2010).
Taylor, K. E., Stouffer, R. J. & Meehl, G. A. A Summary of the CMIP5 Experiment Design (Program for Climate Model Diagnosis and Intercomparison (PCMDI), 2011); available at http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf.
Meinshausen, M., Raper, S. C. B. & Wigley, T. M. L. Emulating coupled atmosphere–ocean and carbon cycle models with a simpler model, MAGICC6– Part 1: Model description and calibration. Atmos. Chem. Phys. 11, 1417–1456 (2011).
Meinshausen, M., Wigley, T. M. L. & Raper, S. C. B. Emulating atmosphere–ocean and carbon cycle models with a simpler model, MAGICC6– Part 2: Applications. Atmos. Chem. Phys. 11, 1457–1471 (2011).
Brohan, P., Kennedy, J. J., Harris, I., Tett, S. F. B. & Jones, P. D. Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850. J. Geophys. Res. 111, D12106 (2006).
Domingues, C. M. et al. Improved estimates of upper-ocean warming and multi-decadal sea-level rise. Nature 453, 1090–U1096 (2008).
Meinshausen, M. et al. Greenhouse-gas emission targets for limiting global warming to 2 °C. Nature 458, 1158–1162 (2009).
Knutti, R. & Hegerl, G. C. The equilibrium sensitivity of the Earth’s temperature to radiation changes. Nature Geosci. 1, 735–743 (2008).
IPCC Guidance Notes for Lead Authors of the IPCC Fourth Assessment Report on Addressing Uncertainties 5 (2005); available at http://www.ipcc.ch/pdf/supporting-material/uncertainty-guidance-note.pdf.
Roe, G. H. & Baker, M. B. Why is climate sensitivity so unpredictable? Science 318, 629–632 (2007).
Tomassini, L., Reichert, P., Knutti, R., Stocker, T. F. & Borsuk, M. E. Robust Bayesian uncertainty analysis of climate system properties using Markov chain Monte Carlo methods. J. Clim. 20, 1239–1254 (2007).
Royer, D. L., Berner, R. A. & Park, J. Climate sensitivity constrained by CO2 concentrations over the past 420 million years. Nature 446, 530–532 (2007).
Mastrandrea, M. D. et al. Guidance Notes for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties 5 (2010); available at http://www.ipcc.ch/pdf/supporting-material/uncertainty-guidance-note.pdf.
Socolow, R. High-consequence outcomes and internal disagreements: Tell us more, please. Climatic Change 108, 775–790 (2011).
Wigley, T. M. L. & Raper, S. C. B. Interpretation of high projections for global-mean warming. Science 293, 451–454 (2001).
Knutti, R., Joos, F., Müller, S. A., Plattner, G-K. & Stocker, T. F. Probabilistic climate change projections for CO2 stabilization profiles. Geophys. Res. Lett. 32, L20707 (2005).
Meinshausen, M. in Avoiding Dangerous Climate Change (eds Schellnhuber, J. S. et al.) (Cambridge Univ. Press, 2006).
Meehl, G. A. et al. in IPCC Climate Change 2007: The Physical Science Basis (eds Solomon, S. et al.) (Cambridge Univ. Press, 2007).
UNFCCC FCCC/CP/2010/7/Add.1 Decision 1/CP.16 31 (UNFCCC, 2010).
Knutti, R. et al. A review of uncertainties in global temperature projections over the twenty-first century. J. Clim. 21, 2651–2663 (2008).
Tebaldi, C. & Knutti, R. The use of the multi-model ensemble in probabilistic climate projections. Phil. Trans. R. Soc. A 365, 2053–2075 (2007).
Meinshausen, M. et al. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change 109, 213–241 (2011).
van Vuuren, D. P. et al. Stabilizing greenhouse gas concentrations at low levels: An assessment of reduction strategies and costs. Climatic Change 81, 119–159 (2007).
Riahi, K., Gruebler, A. & Nakicenovic, N. Scenarios of long-term socio-economic and environmental development under climate stabilization. Technol. Forecasting Soc. Change (Special Issue: Greenhouse Gases—Integrated Assessment) 74, 887–935 (2007).
Gregory, J. M. & Forster, P. M. Transient climate response estimated from radiative forcing and observed temperature change. J. Geophys. Res. 113, D23105 (2008).
Knutti, R. & Tomassini, L. Constraints on the transient climate response from observed global temperature and ocean heat uptake. Geophys. Res. Lett. 35, L09701 (2008).
Forster, P. et al. in IPCC Climate Change 2007: The Physical Science Basis (eds Solomon, S. et al.) 129–234 (Cambridge Univ. Press, 2007).
UNEP The Emissions Gap Report—Are the Copenhagen Accord Pledges Sufficient to Limit Global Warming to 2 °C or 1.5 °C? (UNEP, 2010).
Rogelj, J. et al. Copenhagen Accord pledges are paltry. Nature 464, 1126–1128 (2010).
Hegerl, G. C., Crowley, T. J., Hyde, W. T. & Frame, D. J. Climate sensitivity constrained by temperature reconstructions over the past seven centuries. Nature 440, 1029–1032 (2006).
Forster, P. M. D. & Gregory, J. M. The climate sensitivity and its components diagnosed from Earth radiation budget data. J. Clim. 19, 39–52 (2006).
Annan, J. D. & Hargreaves, J. C. Using multiple observationally-based constraints to estimate climate sensitivity. Geophys. Res. Lett. 33, L06704 (2006).
Forest, C. E., Stone, P. H. & Sokolov, A. P. Estimated PDFs of climate system properties including natural and anthropogenic forcings. Geophys. Res. Lett. 33, L01705 (2006).
Knutti, R., Meehl, G. A., Allen, M. R. & Stainforth, D. A. Constraining climate sensitivity from the seasonal cycle in surface temperature. J. Clim. 19, 4224–4233 (2006).
Murphy, J. M. et al. Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature 430, 768–772 (2004).
Piani, C., Frame, D. J., Stainforth, D. A. & Allen, M. R. Constraints on climate change from a multi-thousand member ensemble of simulations. Geophy. Res. Lett. 32, L23825 (2005).
Frame, D. J., Stone, D. A., Stott, P. A. & Allen, M. R. Alternatives to stabilization scenarios. Geophys. Res. Lett. 33, L14707 (2006).
IPCC Scientific Assessment of Climate Change: Report of Working Group I (eds Houghton, J. T., Jenkins, G. J. & Ephraums, J. J.) (Cambridge Univ. Press, 1990).
IPCC Climate Change 1995: The Science of Climate Change 572 (eds Houghton. J. T. et al.) (Cambridge Univ. Press, 1996).
IPCC Climate Change 2001: The Scientific Basis (eds Houghton. J. T. et al.) (Cambridge Univ. Press, 2001).
Frame, D. J. et al. Constraining climate forecasts: The role of prior assumptions. Geophys. Res. Lett. 32, L09702 (2005).
Andronova, N. G. & Schlesinger, M. E. Objective estimation of the probability density function for climate sensitivity. J. Geophys. Res. Atmos. 106, 22605–22611 (2001).
Forest, C. E., Stone, P. H., Sokolov, A., Allen, M. R. & Webster, M. D. Quantifying uncertainties in climate system properties with the use of recent climate observations. Science 295, 113–117 (2002).
Gregory, J. M., Stouffer, R. J., Raper, S. C. B., Stott, P. A. & Rayner, N. A. An observationally based estimate of the climate sensitivity. J. Clim. 15, 3117–3121 (2002).
Knutti, R., Stocker, T. F., Joos, F. & Plattner, G. K. Constraints on radiative forcing and future climate change from observations and climate model ensembles. Nature 416, 719–723 (2002).
J.R. was supported by the Swiss National Science Foundation (project 200021-135067).
The authors declare no competing financial interests.
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Rogelj, J., Meinshausen, M. & Knutti, R. Global warming under old and new scenarios using IPCC climate sensitivity range estimates. Nature Clim Change 2, 248–253 (2012). https://doi.org/10.1038/nclimate1385
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