Abstract
Anthropogenically driven climate changes, which are expected to impact human and natural systems, are often expressed in terms of global-mean temperature1. The rate of climate change over multi-decadal scales is also important, with faster rates of change resulting in less time for human and natural systems to adapt2. We find that present trends in greenhouse-gas and aerosol emissions are now moving the Earth system into a regime in terms of multi-decadal rates of change that are unprecedented for at least the past 1,000 years. The rate of global-mean temperature increase in the CMIP5 (ref. 3) archive over 40-year periods increases to 0.25 ± 0.05 °C (1σ) per decade by 2020, an average greater than peak rates of change during the previous one to two millennia. Regional rates of change in Europe, North America and the Arctic are higher than the global average. Research on the impacts of such near-term rates of change is urgently needed.
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References
Smith, J. B. et al. Assessing dangerous climate change through an update of the Intergovernmental Panel on Climate Change (IPCC) “reasons for concern”. Proc. Natl Acad. Sci. USA 106, 4133–4137 (2009).
O’Neill, B. C. & Oppenheimer, M. Climate change impacts are sensitive to the concentration stabilization path. Proc. Natl Acad. Sci. USA 101, 16411–16416 (2004).
Taylor, K. E., Stouffer, R. J. & Meehl, G. A. An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93, 485–498 (2011).
Ross, A., Matthews, H. D., Schmittner, A. & Kothavala, Z. Assessing the effects of ocean diffusivity and climate sensitivity on the rate of global climate change. Tellus B 64 (2012).
Jungclaus, J. H. et al. Climate and carbon-cycle variability over the last millennium. Clim. Past 6, 723–737 (2010).
Pages 2k Consortium, Continental-scale temperature variability during the past two millennia. Nature Geosci. 6, 339–346 (2013).
Tingley, M. P. & Huybers, P. Recent temperature extremes at high northern latitudes unprecedented in the past 600 years. Nature 496, 201–205 (2013).
Collins, M. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) Ch. 12, 1029–1136 (IPCC, Cambridge Univ. Press, 2013).
Smith, S. J. et al. Anthropogenic sulfur dioxide emissions: 1850–2005. Atmos. Chem. Phys. 11, 1101–1116 (2011).
Klimont, Z., Smith, S. J. & Cofala, J. The last decade of global anthropogenic sulfur dioxide: 2000–2011 emissions. Environ. Res. Lett. 8, 014003 (2013).
Thomson, A. M. et al. RCP4.5: A pathway for stabilization of radiative forcing by 2100. Climatic Change 109, 77–94 (2011).
Riahi, K. et al. RCP 8.5—A scenario of comparatively high greenhouse gas emissions. Climatic Change 109, 33–57 (2011).
Morice, C. P., Kennedy, J. J., Rayner, N. A. & Jones, P. D. Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset. J. Geophys. Res. 117, D08101 (2012).
Smith, S. J. & Bond, T. C. Two hundred fifty years of aerosols and climate: The end of the age of aerosols. Atmos. Chem. Phys. 14, 537–549 (2014).
Smith, S. J., Pitcher, H. & Wigley, T. M. L. Future sulfur dioxide emissions. Climatic Change 73, 267–318 (2005).
Van Vuuren, D. P. et al. Temperature increase of 21st century mitigation scenarios. Proc. Natl Acad. Sci. USA 105, 15258–15262 (2008).
Stott, P. et al. The upper end of climate model temperature projections is inconsistent with past warming. Environ. Res. Lett. 8, 014024 (2013).
Meehl, G. A., Arblaster, J. M., Fasullo, J. T., Hu, A. & Trenberth, K. E. Model-based evidence of deep-ocean heat uptake during surface-temperature hiatus periods. Nature Clim. Change 1, 360–364 (2011).
Easterling, D. R. & Wehner, M. F. Is the climate warming or cooling? Geophys. Res. Lett. 36, L08706 (2009).
Balmaseda, M. A., Trenberth, K. E. & Källén, E. Distinctive climate signals in reanalysis of global ocean heat content. Geophys. Res. Lett. 40, 1754–1759 (2013).
Guemas, V., Doblas-Reyes, F. J., Andreu-Burillo, I. & Asif, M. Retrospective prediction of the global warming slowdown in the past decade. Nature Clim. Change 3, 649–653 (2013).
Rahmstorf, S., Foster, G. & Cazenave, A. Comparing climate projections to observations up to 2011. Environ. Res. Lett. 7, 044035 (2012).
Meehl, G. A. et al. Decadal prediction—can it be skillful? Bull. Am. Meteorol. Soc. 90, 1467–1485 (2009).
Hawkins, E. & Sutton, R. The potential to narrow uncertainty in regional climate predictions. Bull. Am. Meteorol. Soc. 90, 1095–1107 (2009).
Schurer, A. P., Hegerl, G. C., Mann, M. E., Tett, S. F. B. & Phipps, S. J. Separating forced from chaotic climate variability over the past millennium. J. Clim. 26, 6954–6973 (2013).
Rosenzweig, C. & Neofotis, P. Detection and attribution of anthropogenic climate change impacts. WIREs Clim. Change 4, 121–150 (2013).
Wigley, T. M. L. & Raper, S. C. B. Reasons for larger warming projections in the IPCC Third Assessment Report. J. Clim. 15, 2945–2952 (2002).
Raper, S. C. B. & Cubasch, U. Emulation of the results from a coupled general circulation model using a simple climate model. Geophys. Res. Lett. 23, 1107–1110 (1996).
Raper, S. C. B., Gregory, J. M. & Osborn, T. J. Use of an upwelling-diffusion energy balance climate model to simulate and diagnose A/OGCM results. Clim. Dynam. 17, 601–613 (2001).
Acknowledgements
The authors are grateful for research support provided by the Integrated Assessment Research Program in the Office of Science of the US Department of Energy and the PNNL Global Technology Strategy Program. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modeling and the climate modelling groups (Supplementary Table 2) for producing and making available their model output. The US Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating support for CMIP. The views and opinions expressed in this paper are those of the authors. The authors would like to thank J. Dooley and P. Applegate for helpful comments and J. Seibert for data analysis.
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S.J.S., J.E. and K.C. designed research. S.J.S., C.A.H. and A.M. conducted research. All authors wrote paper.
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Smith, S., Edmonds, J., Hartin, C. et al. Near-term acceleration in the rate of temperature change. Nature Clim Change 5, 333–336 (2015). https://doi.org/10.1038/nclimate2552
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DOI: https://doi.org/10.1038/nclimate2552