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Attribution of polar warming to human influence


The polar regions have long been expected to warm strongly as a result of anthropogenic climate change, because of the positive feedbacks associated with melting ice and snow1,2. Several studies have noted a rise in Arctic temperatures over recent decades2,3,4, but have not formally attributed the changes to human influence, owing to sparse observations and large natural variability5,6. Both warming and cooling trends have been observed in Antarctica7, which the Intergovernmental Panel on Climate Change Fourth Assessment Report concludes is the only continent where anthropogenic temperature changes have not been detected so far, possibly as a result of insufficient observational coverage8. Here we use an up-to-date gridded data set of land surface temperatures9,10 and simulations from four coupled climate models to assess the causes of the observed polar temperature changes. We find that the observed changes in Arctic and Antarctic temperatures are not consistent with internal climate variability or natural climate drivers alone, and are directly attributable to human influence. Our results demonstrate that human activities have already caused significant warming in both polar regions, with likely impacts on polar biology, indigenous communities2, ice-sheet mass balance and global sea level11.

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Figure 1: Simulated and observed Arctic and Antarctic mean temperature anomalies.
Figure 2: Simulated and observed grid cell temperature trends.
Figure 3: Observed and simulated SAM-congruent and SAM-residual temperature trends over the period 1950–1999.
Figure 4: Regression coefficients of observed polar temperature anomalies against the simulated response to anthropogenic (x axis) and natural (y axis) forcing.

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  1. Meehl, G. A. et al. in The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds Solomon, S. et al.) (Cambridge Univ. Press, 2007).

    Google Scholar 

  2. Symon, C., Arris, L. & Heal, B. (eds) Arctic Climate Impact Assessment (Cambridge Univ. Press, 2004).

  3. Johannessen, O. M. et al. Arctic climate change: Observed and modelled temperature and sea-ice variability. Tellus A 56, 328–341 (2004).

    Article  Google Scholar 

  4. Wang, M. Y. et al. Intrinsic versus forced variation in coupled climate model simulations over the Arctic during the twentieth century. J. Clim. 20, 1093–1107 (2007).

    Article  Google Scholar 

  5. Polyakov, I. V. et al. Variability and trends of air temperature and pressure in the maritime Arctic, 1875–2000. J. Clim. 16, 2067–2077 (2003).

    Article  Google Scholar 

  6. Overland, J. et al. The Arctic and Antarctic: Two faces of climate change. Eos Trans. AGU 89, 177–178 (2008).

    Article  Google Scholar 

  7. Turner, J. et al. Antarctic climate change during the last 50 years. Int. J. Climatol. 25, 279–294 (2005).

    Article  Google Scholar 

  8. Hegerl, G. C. et al. in The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds Solomon, S. et al.) (Cambridge Univ. Press, 2007).

    Google Scholar 

  9. Brohan, P. et al. Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850. J. Geophys. Res. 111, D12106 (2006).

    Article  Google Scholar 

  10. Jones, P. D. et al. Surface air temperature and its changes over the past 150 years. Rev. Geophys. 37, 173–199 (1999).

    Article  Google Scholar 

  11. Lemke, P. et al. in The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds Solomon, S. et al.) (Cambridge Univ. Press, 2007).

    Google Scholar 

  12. Jones, P. D. Antarctic temperatures over the present century—a study of the early expedition record. J. Clim. 3, 1193–1203 (1990).

    Article  Google Scholar 

  13. Trenberth, K. E. et al. in The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds Solomon, S. et al.) (Cambridge Univ. Press, 2007).

    Google Scholar 

  14. Connolley, W. M. & Bracegirdle, T. J. An Antarctic assessment of IPCC AR4 coupled models. Geophys. Res. Lett. 34, L22505 (2007).

    Article  Google Scholar 

  15. Gleckler, P. J., Taylor, K. E. & Doutriaux, C. Performance metrics for climate models. J. Geophys. Res. 113, D06104 (2008).

    Article  Google Scholar 

  16. Monaghan, A. J., Bromwich, D. H., Chapman, W. & Comiso, J. C. Recent variability and trends of Antarctic near-surface temperature. J. Geophys. Res. 113, D04105 (2008).

    Article  Google Scholar 

  17. Monaghan, A. J., Bromwich, D. H. & Schneider, D. P. Twentieth century Antarctic air temperature and snowfall simulations by IPCC climate models. Geophys. Res. Lett. 35, L07502 (2008).

    Article  Google Scholar 

  18. Stott, P. A. & Tett, S. F. B. Scale-dependent detection of climate change. J. Clim. 11, 3282–3294 (1998).

    Article  Google Scholar 

  19. Marshall, G. J., Orr, A., van Lipzig, N. P. M. & King, J. C. The impact of a changing Southern Hemisphere Annular Mode on Antarctic Peninsula summer temperatures. J. Clim. 19, 5388–5404 (2006).

    Article  Google Scholar 

  20. Chapman, W. L. & Walsh, J. E. A synthesis of Antarctic temperatures. J. Clim. 20, 4096–4117 (2007).

    Article  Google Scholar 

  21. Thompson, D. W. J. & Solomon, S. Interpretation of recent Southern Hemisphere climate change. Science 296, 895–899 (2002).

    Article  Google Scholar 

  22. Marshall, G. J. Trends in the Southern Annular Mode from observations and reanalyses. J. Clim. 16, 4134–4143 (2003).

    Article  Google Scholar 

  23. Stott, P. A. et al. External control of 20th century temperature by natural and anthropogenic forcings. Science 290, 2133–2137 (2000).

    Article  Google Scholar 

  24. Allen, M. R. & Stott, P. A. Estimating signal amplitudes in optimal fingerprinting, part I: theory. Clim. Dyn. 21, 477–491 (2003).

    Article  Google Scholar 

  25. Gillett, N. P. et al. Detecting anthropogenic influence with a multi-model ensemble. Geophys. Res. Lett. 29, 1970 (2002).

    Google Scholar 

  26. Allen, M. R. & Tett, S. F. B. Checking for model consistency in optimal fingerprinting. Clim. Dyn. 15, 419–434 (1999).

    Article  Google Scholar 

  27. Przybylak, R. Temporal and spatial variation of surface air temperature over the period of instrumental observations in the Arctic. Int. J. Climatol. 20, 587–614 (2000).

    Article  Google Scholar 

  28. Przybylak, R. Changes in seasonal and annual high-frequency air temperature variability in the Arctic from 1951 to 1990. Int. J. Climatol. 22, 1017–1032 (2002).

    Article  Google Scholar 

  29. Polyakov, I. V. et al. Observationally based assessment of polar amplification of global warming. Geophys. Res. Lett. 29, 1878 (2002).

    Article  Google Scholar 

  30. Stroeve, J. et al. Arctic sea ice decline: Faster than forecast. Geophys. Res. Lett. 34, L09501 (2007).

    Article  Google Scholar 

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We thank S. Solomon, G. Marshall and H. Melling for useful advice and discussion; M. Allen for his optimal detection and attribution code; and G. Jones for assistance with the provision of model output. This work was supported in part by the Climate Change Detection and Attribution Project, jointly funded by NOAA’s Office of Global Programs and the US Department of Energy. N.P.G. and A.Y.K. were also supported by NERC grant NE/E006787/1, and N.P.G. acknowledges support from the Leverhulme Trust. P.A.S. was supported by the Joint Defra and MoD Programme, (Defra) GA01101 (MoD) CBC/2B/0417 Annex C5.

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N.P.G. carried out most of the analysis and wrote the paper. D.A.S., P.A.S., T.N. and M.F.W. assisted with the provision of model data. A.Y.K. calculated SAM trends and regression patterns. G.C.H. proposed the study. P.D.J. provided advice on observations.

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Correspondence to Nathan P. Gillett.

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Gillett, N., Stone, D., Stott, P. et al. Attribution of polar warming to human influence. Nature Geosci 1, 750–754 (2008).

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