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Arctic sea-ice variability is primarily driven by atmospheric temperature fluctuations


The anthropogenically forced decline of Arctic sea ice is superimposed on strong internal variability. Possible drivers for this variability include fluctuations in surface albedo, clouds and water vapour, surface winds and poleward atmospheric and oceanic energy transport, but their relative contributions have not been quantified. By isolating the impact of the individual drivers in an Earth system model, we here demonstrate that internal variability of sea ice is primarily caused directly by atmospheric temperature fluctuations. The other drivers together explain only 25% of sea-ice variability. The dominating impact of atmospheric temperature fluctuations on sea ice is consistent across observations, reanalyses and simulations from global climate models. Such atmospheric temperature fluctuations occur due to variations in moist-static energy transport or local ocean heat release to the atmosphere. The fact that atmospheric temperature fluctuations are the key driver for sea-ice variability limits prospects of interannual predictions of sea ice, and suggests that observed record lows in Arctic sea-ice area are a direct response to an unusually warm atmosphere.

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Fig. 1: Evolution of Arctic sea-ice area, mid-troposphere air temperature and sub-thermocline ocean temperature from 1979 to 2016.
Fig. 2: Impact of decoupled mechanisms on the variability of the Arctic sea-ice area.
Fig. 3: Regional impact of decoupled mechanisms on Arctic sea-ice variability.
Fig. 4: Linking sea-ice variability with atmospheric and oceanic temperature fluctuations.

Data availability

Passive microwave sea-ice concentration data were obtained from; atmospheric temperature data from ERA-Interim and ocean temperature data from ORAS4 are available from CMIP5 model outputs were obtained from and

Code availability

The MPI-ESM1.2-LR coupled climate model is distributed via The code changes to allow for non-interactive radiative feedbacks and non-radiative forcings (revision 8932) are available on request from All figures were generated using the NCAR Command Language34, available at Plotting scripts and relevant model output used in this study are available on request from


  1. Fang, Z. & Wallace, J. M. Arctic sea ice variability on a timescale of weeks and its relation to atmospheric forcing. J. Clim. 7, 1897–1914 (1994).

    Article  Google Scholar 

  2. Ding, Q. et al. Influence of high-latitude atmospheric circulation changes on summertime Arctic sea ice. Nat. Clim. Change 7, 289–295 (2017).

    Article  Google Scholar 

  3. Ukita, J. et al. Northern hemisphere sea ice variability: lag structure and its implications. Tellus A 59, 261–272 (2007).

    Article  Google Scholar 

  4. Deser, C., Walsh, J. E. & Timlin, M. S. Arctic sea ice variability in the context of recent atmospheric circulation trends. J. Clim. 13, 617–633 (2000).

    Article  Google Scholar 

  5. Hall, A. The role of surface albedo feedback in climate. J. Clim. 17, 1550–1568 (2004).

    Article  Google Scholar 

  6. Kashiwase, H., Ohshima, K. I., Nihashi, S. & Eicken, H. Evidence for ice-ocean albedo feedback in the Arctic Ocean shifting to a seasonal ice zone. Sci. Rep. 7, 8170 (2017).

    Article  Google Scholar 

  7. Letterly, A., Key, J. & Liu, Y. The influence of winter cloud on summer sea ice in the arctic, 1983–2013. J. Geophys. Res. 121, 2178–2187 (2016).

    Google Scholar 

  8. Curry, J. A., Schramm, J. L., Serreze, M. C. & Ebert, E. E. Water vapor feedback over the Arctic Ocean. J. Geophys. Res. 100, 14223–14229 (1995).

    Article  Google Scholar 

  9. Lee, S., Gong, T., Feldstein, S. B., Screen, J. A. & Simmonds, I. Revisiting the cause of the 1989–2009 arctic surface warming using the surface energy budget: downward infrared radiation dominates the surface fluxes. Geophys. Res. Lett. 44, 10654–10661 (2017).

    Article  Google Scholar 

  10. Ogi, M., Yamazaki, K. & Wallace, J. M. Influence of winter and summer surface wind anomalies on summer arctic sea ice extent. Geophys. Res. Lett. 37, L07701 (2016).

    Google Scholar 

  11. Årthun, M., Eldevik, T., Smedsrud, L. H., Skagseth, Ø. & Ingvaldsen, R. B. Quantifying the influence of atlantic heat on barents sea ice variability and retreat. J. Clim. 25, 4736–4743 (2012).

    Article  Google Scholar 

  12. Årthun, M. & Eldevik, T. On anomalous ocean heat transport toward the arctic and associated climate predictability. J. Clim. 29, 689–704 (2016).

    Article  Google Scholar 

  13. Zhang, R. Mechanisms for low-frequency variability of summer arctic sea ice extent. Proc. Natl Acad. Sci. USA 112, 4570–4575 (2015).

    Article  Google Scholar 

  14. Miles, M. W. et al. A signal of persistent atlantic multidecadal variability in arctic sea ice. Geophys. Res. Lett. 41, 463–469 (2014).

    Article  Google Scholar 

  15. Luo, D. et al. Winter eurasian cooling linked with the atlantic multidecadal oscillation. Environ. Res. Lett. 12, 125002 (2017).

    Article  Google Scholar 

  16. Mauritsen, T. et al. Climate feedback efficiency and synergy. Clim. Dynam. 41, 2539–2554 (2013).

    Article  Google Scholar 

  17. Luo, B., Luo, D., Wu, L., Zhong, L. & Simmonds, I. Atmospheric circulation patterns which promote winter Arctic sea ice decline. Environ. Res. Lett. 12, 054017 (2017).

    Article  Google Scholar 

  18. Pavelsky, T. M., Boé, J., Hall, A. & Fetzer, E. J. Atmospheric inversion strength over polar oceans in winter regulated by sea ice. Clim. Dynam. 36, 945–955 (2011).

    Article  Google Scholar 

  19. Graversen, R. G., Mauritsen, T., Drijfhout, S., Tjernström, M. & Mårtensson, S. Warm winds from the Pacific caused extensive Arctic sea-ice melt in summer 2007. Clim. Dynam. 36, 2103–2112 (2011).

    Article  Google Scholar 

  20. Screen, J. A., Deser, C. & Simmonds, I. Local and remote controls on observed Arctic warming. Geophys. Res. Lett. 39, L10709 (2012).

    Article  Google Scholar 

  21. Yang, X.-Y., Fyfe, J. C. & Flato, G. M. The role of poleward energy transport in Arctic temperature evolution. Geophys. Res. Lett. 37, L14803 (2010).

    Google Scholar 

  22. Messori, G., Woods, C. & Caballero, R. On the drivers of wintertime temperature extremes in the high arctic. J. Clim. 31, 1597–1618 (2018).

    Article  Google Scholar 

  23. Wernli, H. & Papritz, L. Role of polar anticyclones and mid-latitude cyclones for Arctic summertime sea-ice melting. Nat. Geosci. 11, 108–113 (2018).

    Article  Google Scholar 

  24. Graversen, R. G. & Burtu, M. Arctic amplification enhanced by latent energy transport of atmospheric planetary waves. Q. J. R. Meteorol. Soc. 142, 2046–2054 (2016).

    Article  Google Scholar 

  25. Kapsch, M.-L., Skific, N., Graversen, R. G., Tjernström, M. & Francis, J. A. Summers with low Arctic sea ice linked to persistence of spring atmospheric circulation patterns. Clim. Dynam. 52, 2497–2512 (2019).

    Article  Google Scholar 

  26. Guemas, V. et al. A review on Arctic sea-ice predictability and prediction on seasonal to decadal time-scales. Q. J. R. Meteorol. Soc. 142, 546–561 (2016).

    Article  Google Scholar 

  27. Kirtman, B. et al. Near-term Climate Change: Projections and Predictability in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) 953–1028 (IPCC, Cambridge Univ. Press, 2013).

  28. Serreze, M. C. & Stroeve, J. Arctic sea ice trends, variability and implications for seasonal ice forecasting. Phil. Trans. R. Soc. A 373, 20140159 (2015).

    Article  Google Scholar 

  29. Fetterer, F., Knowles, K., Meier, W., Savoie, M. & Windnagel, A. K. Sea Ice Index Version 3 (NSIDC, accessed 28 November 2017).

  30. 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).

    Article  Google Scholar 

  31. Balmaseda, M. A., Mogensen, K. & Weaver, A. T. Evaluation of the ECMWF ocean reanalysis system ORAS4. Q. J. R. Meteorol. Soc. 139, 1132–1161 (2013).

    Article  Google Scholar 

  32. Rädel, G. et al. Amplification of El Niño by cloud longwave coupling to atmospheric circulation. Nat. Geosci. 9, 106–110 (2016).

    Article  Google Scholar 

  33. Keith, D. W. Meridional energy transport: uncertainty in zonal means. Tellus A 47, 30–44 (1995).

    Article  Google Scholar 

  34. NCAR Command Language v.6.3.0 (UCAR/NCAR/CISL/TDD, 2016).

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We thank M.-L. Kapsch for helpful comments on an earlier version of this manuscript. This work was funded by the Max Planck Society. Extensive computational resources were made available by the German Climate Computing Centre. We thank PCMDI for their management of CMIP5, and the various modelling groups for carrying out the simulations used here.

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D.O., T.M. and D.N. designed this study. D.O. and T.M. developed the methodology and D.O. conducted and analysed the experiments. All authors contributed to the interpretation of the results. D.O. wrote the manuscript with contributions and input from all authors.

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Correspondence to Dirk Olonscheck.

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The authors declare no competing interests.

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Olonscheck, D., Mauritsen, T. & Notz, D. Arctic sea-ice variability is primarily driven by atmospheric temperature fluctuations. Nat. Geosci. 12, 430–434 (2019).

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