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Amplified mid-latitude planetary waves favour particular regional weather extremes


There has been an ostensibly large number of extreme weather events in the Northern Hemisphere mid-latitudes during the past decade1. An open question that is critically important for scientists and policy makers is whether any such increase in weather extremes is natural or anthropogenic in origin2,3,4,5,6,7,8,9,10,11,12,13. One mechanism proposed to explain the increased frequency of extreme weather events is the amplification of mid-latitude atmospheric planetary waves14,15,16,17. Disproportionately large warming in the northern polar regions compared with mid-latitudes—and associated weakening of the north–south temperature gradient—may favour larger amplitude planetary waves14,15,16,17, although observational evidence for this remains inconclusive18,19,20,21. A better understanding of the role of planetary waves in causing mid-latitude weather extremes is essential for assessing the potential environmental and socio-economic impacts of future planetary wave changes. Here we show that months of extreme weather over mid-latitudes are commonly accompanied by significantly amplified quasi-stationary mid-tropospheric planetary waves. Conversely, months of near-average weather over mid-latitudes are often accompanied by significantly attenuated waves. Depending on geographical region, certain types of extreme weather (for example, hot, cold, wet, dry) are more strongly related to wave amplitude changes than others. The findings suggest that amplification of quasi-stationary waves preferentially increases the probabilities of heat waves in western North America and central Asia, cold outbreaks in eastern North America, droughts in central North America, Europe and central Asia, and wet spells in western Asia.

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Figure 1: Planetary-wave amplitude anomalies during months of extreme weather.
Figure 2: The geographical regions used in this study.
Figure 3: Frequency distributions of planetary-wave amplitude anomalies during months of extreme weather.
Figure 4: Frequency distributions of planetary-wave amplitude anomalies during months of near-average weather.


  1. 1

    Coumou, D. & Rahmstorf, S. A decade of weather extremes. Nature Clim. Change 2, 491–496 (2012).

    Article  Google Scholar 

  2. 2

    Rahmstorf, S. & Coumou, D. Increase of extreme events in a warming world. Proc. Natl Acad. Sci. USA 108, 17905–17909 (2011).

    CAS  Article  Google Scholar 

  3. 3

    Dole, R. et al. Was there a basis for anticipating the 2010 Russian heat wave? Geophys. Res. Lett. 38, L06702 (2011).

    Article  Google Scholar 

  4. 4

    Otto, F. E. L., Massey, N., van Oldenborgh, G. J., Jones, R. G. & Allen, M. R. Reconciling two approaches to attribution of the 2010 Russian heat wave. Geophys. Res. Lett. 39, L04702 (2012).

    Article  Google Scholar 

  5. 5

    Trenberth, K. E. & Fasullo, J. Climate extremes and climate change: The Russian heat wave and other climate extremes of 2010. J. Geophys. Res. 117, D17103 (2012).

    Article  Google Scholar 

  6. 6

    Peterson, T. C., Stott, P. A. & Herring, S. Explaining extreme events of 2011 from a climate perspective. Bull. Am. Meteorol. Soc. 93, 1041–1067 (2012).

    Article  Google Scholar 

  7. 7

    Peterson, T. C., Hoerling, M. P., Stott, P. A. & Herring, S. C. Explaining extreme events of 2012 from a climate perspective. Bull. Am. Meteorol. Soc. 94, S1–S74 (2013).

    Article  Google Scholar 

  8. 8

    Stott, P. A., Stone, D. A. & Allen, M. R. Human contribution to the European heatwave of 2003. Nature 432, 610–614 (2004).

    CAS  Article  Google Scholar 

  9. 9

    Zwiers, F. W., Zhang, X. & Feng, Y. Anthropogenic influence on long return period daily temperature extremes at regional scales. J. Clim. 24, 881–892 (2011).

    Article  Google Scholar 

  10. 10

    Pall, P. et al. Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000. Nature 470, 382–385 (2011).

    CAS  Article  Google Scholar 

  11. 11

    Min, S-K., Zhang, X., Zwiers, F. W. & Hegerl, G. C. Human contribution to more-intense precipitation extremes. Nature 470, 378–381 (2011).

    CAS  Article  Google Scholar 

  12. 12

    Hansen, J., Sato, M. & Ruedy, R. Perception of climate change. Proc. Natl Acad. Sci. USA 109, 14726–14727 (2012).

    CAS  Article  Google Scholar 

  13. 13

    Field, C. al. (eds) Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (Cambridge Univ. Press, 2012).

  14. 14

    Francis, J. A. & Vavrus, S. J. Evidence linking Arctic amplification to extreme weather in mid-latitudes. Geophys. Res. Lett. 39, L06801 (2012).

    Article  Google Scholar 

  15. 15

    Tang, Q., Zhang, X. & Francis, J. A. Extreme summer weather in northern mid-latitudes linked to a vanishing cryosphere. Nature Clim. Change 4, 45–50 (2014).

    Article  Google Scholar 

  16. 16

    Liu, J., Curry, J. A., Wang, H., Song, M. & Horton, R. M. Impact of declining Arctic sea ice on winter snowfall. Proc. Natl Acad. Sci. USA 109, 4074–4079 (2012).

    CAS  Article  Google Scholar 

  17. 17

    Petoukhov, V., Rahmstorf, S., Petri, S. & Schellnhuber, H. J. Quasiresonant amplification of planetary waves and recent Northern Hemisphere weather extremes. Proc. Natl Acad. Sci. USA 110, 5336–5341 (2013).

    CAS  Article  Google Scholar 

  18. 18

    Screen, J. A. & Simmonds, I. Exploring links between Arctic amplification and mid-latitude weather. Geophys. Res. Lett. 40, 959–964 (2013).

    Article  Google Scholar 

  19. 19

    Screen, J. A. & Simmonds, I. Caution needed when linking weather extremes to amplified planetary waves. Proc. Natl Acad. Sci. USA 110, E2327 (2013).

    CAS  Article  Google Scholar 

  20. 20

    Barnes, E. A. Revisiting the evidence linking Arctic amplification to extreme weather in midlatitudes. Geophys. Res. Lett. 40, 4728–4733 (2013).

    Article  Google Scholar 

  21. 21

    Wallace, J. M., Held, I. M., Thompson, D. W. J., Trenberth, K. E. & Walsh, J. E. Global warming and winter weather. Science 343, 729–730 (2014).

    CAS  Article  Google Scholar 

  22. 22

    Leiserowitz, A., Maibach, E., Roser-Renouf, C., Feinberg, G. & Howe, P. Extreme Weather and Climate Change in the American Mind (Yale Univ. and George Mason Univ., 2012).

    Google Scholar 

  23. 23

    Screen, J. A. & Simmonds, I. The central role of diminishing sea ice in recent Arctic temperature amplification. Nature 464, 1334–1337 (2010).

    CAS  Article  Google Scholar 

  24. 24

    Serreze, M. C. & Barry, R. G. Processes and impacts of arctic amplification: A research synthesis. Glob. Planet. Change 77, 85–96 (2011).

    Article  Google Scholar 

  25. 25

    Hoskins, B. J. & Karoly, D. J. The steady linear response of a spherical atmosphere to thermal and orographic forcing. J. Atmos. Sci. 38, 1179–1196 (1981).

    Article  Google Scholar 

  26. 26

    Teng, H., Branstator, G., Wang, H., Meehl, G. A. & Washington, W. M. Probability of US heat waves affected by a subseasonal planetary wave pattern. Nature Geosci. 6, 1056–1061 (2013).

    CAS  Article  Google Scholar 

  27. 27

    Jones, P. D. et al. Hemispheric and large-scale land surface air temperature variations: An extensive revision and an update to 2010. J. Geophys. Res. 117, D05127 (2012).

    Google Scholar 

  28. 28

    Adler, R. F. et al. The Version 2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–Present). J. Hydrometeor. 4, 1147–1167 (2003).

    Article  Google Scholar 

  29. 29

    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 

  30. 30

    Moser, B. K. & Stevens, G. R. Homogeneity of variance in the two-sample means test. Am. Stat. 46, 19–21 (1992).

    Google Scholar 

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CRUTEM4 data were provided by the UK Met Office Hadley Centre (; GPCP data by the NOAA Earth System Research Laboratory (; and ERA-Interim data by the ECMWF ( This research was funded by UK Natural Environment Research Council grant NE/J019585/1 awarded to J.A.S.

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J.A.S. designed and performed the research, analysed data and wrote the paper. I.S. discussed the results and commented on the manuscript.

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Correspondence to James A. Screen.

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Screen, J., Simmonds, I. Amplified mid-latitude planetary waves favour particular regional weather extremes. Nature Clim Change 4, 704–709 (2014).

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