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A reconciled estimate of the influence of Arctic sea-ice loss on recent Eurasian cooling

Nature Climate Changevolume 9pages123129 (2019) | Download Citation


Northern midlatitudes, over central Eurasia in particular, have experienced frequent severe winters in recent decades1,2,3. A remote influence of Arctic sea-ice loss has been suggested4,5,6,7,8,9,10,11,12,13,14; however, the importance of this connection remains controversial because of discrepancies among modelling and between modelling and observational studies15,16,17. Here, using a hybrid analysis of observations and multi-model large ensembles from seven atmospheric general circulation models, we examine the cause of these differences. While all models capture the observed structure of the forced surface temperature response to sea-ice loss in the Barents–Kara Seas—including Eurasian cooling—we show that its magnitude is systematically underestimated. Owing to the varying degrees of this underestimation of sea-ice-forced signal, the signal-to-noise ratio differs markedly. Correcting this underestimation reconciles the discrepancy between models and observations, leading to the conclusion that ~44% of the central Eurasian cooling trend for 1995–2014 is attributable to sea-ice loss in the Barents–Kara Seas. Our results strongly suggest that anthropogenic forcing has significantly amplified the probability of severe winter occurrence in central Eurasia via enhanced melting of the Barents–Kara sea ice. The difference in underestimation of signal-to-noise ratio between models therefore calls for careful experimental design and interpretation for regional climate change attribution.

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Data availability

The monthly SST and SIC in HadISST33 are available from the Met Office website (www.metoffice.gov.uk/hadobs/hadisst/). The ERA-Interim reanalysis data sets44 are available from the ECMWF website (http://apps.ecmwf.int/datasets/). The six additional AGCM outputs analysed are freely available from the NOAA FACTS website (https://www.esrl.noaa.gov/psd/repository/alias/facts/). The MIROC4 AGCM output generated and analysed in this study is available from the corresponding author upon reasonable request.

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  1. 1.

    Horton, D. E. et al. Contribution of changes in atmospheric circulation patterns to extreme temperature trends. Nature 522, 465–469 (2015).

  2. 2.

    Johnson, N. C., Xie, S. P., Kosaka, Y. & Li, X. Increasing occurrence of cold and warm extremes during the recent global warming slowdown. Nat. Commun. 9, 1724 (2018).

  3. 3.

    Cohen, J. et al. Recent Arctic amplification and extreme mid-latitude weather. Nat. Geosci. 7, 627–637 (2014).

  4. 4.

    Mori, M., Watanabe, M., Shiogama, H., Inoue, J. & Kimoto, M. Robust Arctic sea-ice influence on the frequent Eurasian cold winters in past decades. Nat. Geosci. 7, 869–873 (2014).

  5. 5.

    Inoue, J., Hori, M. E. & Takaya, K. The role of Barents Sea ice in the wintertime cyclone track and emergence of a warm-Arctic cold-Siberian anomaly. J. Clim. 25, 2561–2568 (2012).

  6. 6.

    Chen, H. W., Alley, R. B. & Zhang, F. Interannual Arctic sea ice variability and associated winter weather patterns: a regional perspective for 1979–2014. J. Geophys. Res. 121, 14433–14455 (2016).

  7. 7.

    Tang, Q., Zhang, X., Yang, X. & Francis, J. A. Cold winter extremes in northern continents linked to Arctic sea ice loss. Environ. Res. Lett. 8, 014036 (2013).

  8. 8.

    Honda, M., Inoue, J. & Yamane, S. Influence of low Arctic sea-ice minima on anomalously cold Eurasian winters. Geophys. Res. Lett. 36, L08707 (2009).

  9. 9.

    Kug, J.-S. et al. Two distinct influences of Arctic warming on cold winters over North America and East Asia. Nat. Geosci. 8, 759–762 (2015).

  10. 10.

    Petoukhov, V. & Semenov, V. A. A link between reduced Barents-Kara sea ice and cold winter extremes over northern continents. J. Geophys. Res. 115, D21111 (2010).

  11. 11.

    Semenov, V. A. & Latif, M. Nonlinear winter atmospheric circulation response to Arctic sea ice concentration anomalies for different periods during 1966–2012. Environ. Res. Lett. 10, 054020 (2015).

  12. 12.

    Kim, B.-M. et al. Weakening of the stratospheric polar vortex by Arctic sea-ice loss. Nat. Commun. 5, 4646 (2014).

  13. 13.

    Peings, Y. & Magnusdottir, G. Response of the wintertime northern hemisphere atmospheric circulation to current and projected Arctic sea ice decline: a numerical study with CAM5. J. Clim. 27, 244–264 (2014).

  14. 14.

    Nakamura, T. et al. A negative phase shift of the winter AO/NAO due to the recent Arctic sea-ice reduction in late autumn. J. Geophys. Res. 120, 3209–3227 (2015).

  15. 15.

    Screen, J. A. Far-flung effects of Arctic warming. Nat. Geosci. 10, 253–254 (2017).

  16. 16.

    Screen, J. A. et al. Consistency and discrepancy in the atmospheric response to Arctic sea-ice loss across climate models. Nat. Geosci. 11, 155–163 (2018).

  17. 17.

    Shepherd, T. G. Effects of a warming Arctic. Science 353, 989–990 (2016).

  18. 18.

    IPCC Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, Cambridge, 2013).

  19. 19.

    Perovich, D. et al. Sea ice cover. Bull. Am. Meteorol. Soc. 98, S131–S133 (2017).

  20. 20.

    Chen, H. W., Zhang, F. & Alley, R. B. The robustness of midlatitude weather pattern changes due to Arctic sea ice loss. J. Clim. 29, 7831–7849 (2016).

  21. 21.

    Sun, L., Perlwitz, J. & Hoerling, M. What caused the recent “Warm Arctic, Cold Continents” trend pattern in winter temperatures? Geophys. Res. Lett. 43, 5345–5352 (2016).

  22. 22.

    McCusker, K. E., Fyfe, J. C. & Sigmond, M. Twenty-five winters of unexpected Eurasian cooling unlikely due to Arctic sea-ice loss. Nat. Geosci. 9, 838–842 (2016).

  23. 23.

    Ogawa, F. et al. Evaluating impacts of recent Arctic sea ice loss on the northern hemisphere winter climate change. Geophys. Res. Lett. 45, 3255–3263 (2018).

  24. 24.

    Barnes, E. A. & Screen, J. A. The impact of Arctic warming on the midlatitude jet-stream: Can it? Has it? Will it? WIREs Clim. Change 6, 277–286 (2015).

  25. 25.

    Hoskins, B. & Woollings, T. Persistent extratropical regimes and climate extremes. Curr. Clim. Change Rep. 1, 115–124 (2015).

  26. 26.

    Overland, J. E. et al. Nonlinear response of mid-latitude weather to the changing Arctic. Nat. Clim. Change 6, 992–999 (2016).

  27. 27.

    Smith, D. M. The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification. Geosci. Model Dev. (in the press).

  28. 28.

    Palmer, T. N. A nonlinear dynamical perspective on climate prediction. J. Clim. 12, 575–591 (1999).

  29. 29.

    Deser, C., Sun, L., Tomas, R. A. & Screen, J. Does ocean coupling matter for the northern extratropical response to projected Arctic sea ice loss? Geophys. Res. Lett. 43, 2149–2157 (2016).

  30. 30.

    Sorokina, S. A., Li, C., Wettstein, J. J. & Kvamstø, N. G. Observed atmospheric coupling between Barents Sea ice and the warm-Arctic cold-Siberian anomaly pattern. J. Clim. 29, 495–511 (2016).

  31. 31.

    Eade, R. et al. Do seasonal-to-decadal climate predictions underestimate the predictability of the real world? Geophys. Res. Lett. 41, 5620–5628 (2014).

  32. 32.

    Sakamoto, T. T. et al. MIROC4h: a new high-resolution atmosphere-ocean coupled general circulation model. J. Meteor. Soc. Japan. 90, 325–359 (2012).

  33. 33.

    Rayner, N. A. et al. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res. 108, D144407 (2003).

  34. 34.

    Screen, J. A., Simmonds, I., Deser, C. & Tomas, R. The atmospheric response to three decades of observed Arctic sea ice loss. J. Clim. 26, 1230–1248 (2013).

  35. 35.

    Donner, L. J. et al. The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3. J. Clim. 24, 3484–3519 (2011).

  36. 36.

    Neale, R. B. et al. The mean climate of the Community Atmosphere Model (CAM4) in forced SST and fully coupled experiments. J. Clim. 26, 5150–5168 (2013).

  37. 37.

    Neale, R. B. et al. Description of the NCAR Community Atmosphere Model (CAM 5.0) NCAR Technical Note NCAR/TN-486+STR (NCAR, 2012).

  38. 38.

    Roeckner, E. et al. The Atmospheric General Circulation Model ECHAM 5. Part I: Model Description Techical Report 349 (Max-Planck-Institut für Meteorologie, 2003).

  39. 39.

    Molod, A. et al. The GEOS-5 Atmospheric General Circulation Model: Mean Climate And Development from MERRA to Fortuna NASA Technical Report Series on Global Modeling and Data Assimilation NASA/TM-2012-104606-VOL-28, GSFC.TM.01153.2012 (NASA, 2012).

  40. 40.

    Saha, S. et al. The NCEP climate forecast system version 2. J. Clim. 27, 2185–2208 (2014).

  41. 41.

    Hurrell, J. W., Hack, J. J., Shea, D., Caron, J. M. & Rosinski, J. A new sea surface temperature and sea ice boundary dataset for the Community Atmosphere Model. J. Clim. 21, 5145–5153 (2008).

  42. 42.

    Wallace, J. M., Smith, C. & Bretherton, C. S. Singular value decomposition of wintertime sea surface temperature and 500-mb height anomalies. J. Clim. 5, 561–576 (1992).

  43. 43.

    Bretherton, C. S., Smith, C. & Wallace, J. M. An intercomparison of methods for finding coupled patterns in climate data. J. Clim. 5, 541–560 (1992).

  44. 44.

    Dee, D. P. et al. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137, 553–597 (2011).

  45. 45.

    Ward, M. N. & Navarra, A. Pattern analysis of SST-forced variability in ensemble GCM simulations: examples over Europe and the tropical Pacific. J. Clim. 10, 2210–2220 (1997).

  46. 46.

    Smoliak, B. V. & Wallace, J. M. On the leading patterns of northern hemisphere sea level pressure variability. J. Atmos. Sci. 72, 3469–3486 (2015).

  47. 47.

    Luo, D. et al. Impact of ural blocking on winter warm Arctic-cold Eurasian anomalies. Part I: blocking-induced amplification. J. Clim. 29, 3925–3947 (2016).

  48. 48.

    Crasemann, B. et al. Can preferred atmospheric circulation patterns over the North-Atlantic-Eurasian region be associated with arctic sea ice loss? Polar Sci. 14, 9–20 (2017).

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We acknowledge the modelling groups and their members who generated the FACTS climate model simulation data provided by NOAA/ESRL/PSD. We are grateful for the stimulating discussions with B. Taguchi. This work is supported in part by the Integrated Research Program for Advancing Climate Models from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan, by the Arctic Challenge for Sustainability (ArCS) Program from MEXT, Japan, and by the Japan Science and Technology Agency through the Belmont Forum Collaborative Research Action ‘InterDec’ project.

Author information


  1. Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan

    • Masato Mori
    • , Yu Kosaka
    •  & Hisashi Nakamura
  2. Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan

    • Masahiro Watanabe
    •  & Masahide Kimoto


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M.M. designed the research and performed the numerical experiments and analyses. M.M., Y.K. and M.W. wrote the manuscript with discussion and feedback from H.N. and M.K.

Competing interests

The authors declare no competing interests.

Corresponding author

Correspondence to Masato Mori.

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