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Intensification of winter transatlantic aviation turbulence in response to climate change


Atmospheric turbulence causes most weather-related aircraft incidents1. Commercial aircraft encounter moderate-or-greater turbulence tens of thousands of times each year worldwide, injuring probably hundreds of passengers (occasionally fatally), costing airlines tens of millions of dollars and causing structural damage to planes1,2,3. Clear-air turbulence is especially difficult to avoid, because it cannot be seen by pilots or detected by satellites or on-board radar4,5. Clear-air turbulence is linked to atmospheric jet streams6,7, which are projected to be strengthened by anthropogenic climate change8. However, the response of clear-air turbulence to projected climate change has not previously been studied. Here we show using climate model simulations that clear-air turbulence changes significantly within the transatlantic flight corridor when the concentration of carbon dioxide in the atmosphere is doubled. At cruise altitudes within 50–75° N and 10–60° W in winter, most clear-air turbulence measures show a 10–40% increase in the median strength of turbulence and a 40–170% increase in the frequency of occurrence of moderate-or-greater turbulence. Our results suggest that climate change will lead to bumpier transatlantic flights by the middle of this century. Journey times may lengthen and fuel consumption and emissions may increase. Aviation is partly responsible for changing the climate9, but our findings show for the first time how climate change could affect aviation.

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Figure 1: Spatial patterns of North Atlantic flight-level winter clear-air turbulence in a changing climate.
Figure 2: Probability distributions of northern North Atlantic flight-level winter clear-air turbulence in a changing climate.
Figure 3: Will North Atlantic flight-level winter clear-air turbulence increase or decrease in a warmer climate?


  1. 1

    Sharman, R., Tebaldi, C., Wiener, G. & Wolff, J. An integrated approach to mid- and upper-level turbulence forecasting. Weather Forecast. 21, 268–287 (2006).

    Article  Google Scholar 

  2. 2

    Clark, T. L. et al. Origins of aircraft-damaging clear-air turbulence during the 9 December 1992 Colorado downslope windstorm: Numerical simulations and comparison with observations. J. Atmos. Sci. 57, 1105–1131 (2000).

    Article  Google Scholar 

  3. 3

    Sharman, R. D., Trier, S. B., Lane, T. P. & Doyle, J. D. Sources and dynamics of turbulence in the upper troposphere and lower stratosphere: A review. Geophys. Res. Lett. 39, L12803 (2012).

    Article  Google Scholar 

  4. 4

    Kennedy, P. J. & Shapiro, M. A. Further encounters with clear air turbulence in research aircraft. J. Atmos. Sci. 37, 986–993 (1980).

    Article  Google Scholar 

  5. 5

    Knox, J. A. Possible mechanisms of clear-air turbulence in strongly anticyclonic flows. Mon. Weath. Rev. 125, 1251–1259 (1997).

    Article  Google Scholar 

  6. 6

    Reiter, E. R. & Nania, A. Jet-stream structure and clear-air turbulence (CAT). J. Appl. Meteorol. 3, 247–260 (1964).

    Article  Google Scholar 

  7. 7

    Koch, S. E. et al. Turbulence and gravity waves within an upper-level front. J. Atmos. Sci. 62, 3885–3908 (2005).

    Article  Google Scholar 

  8. 8

    Lorenz, D. J. & DeWeaver, E. T. Tropopause height and zonal wind response to global warming in the IPCC scenario integrations. J. Geophys. Res. 112, D10119 (2007).

    Article  Google Scholar 

  9. 9

    Stuber, N., Forster, P., Rädel, G. & Shine, K. The importance of the diurnal and annual cycle of air traffic for contrail radiative forcing. Nature 441, 864–867 (2006).

    CAS  Article  Google Scholar 

  10. 10

    Lane, T. P., Sharman, R. D., Trier, S. B., Fovell, R. G. & Williams, J. K. Recent advances in the understanding of near-cloud turbulence. Bull. Am. Meteorol. Soc. 93, 499–515 (2012).

    Google Scholar 

  11. 11

    Watkins, C. D. & Browning, K. A. The detection of clear air turbulence by radar. Phys. Technol. 4, 28–61 (1973).

    Article  Google Scholar 

  12. 12

    Harrison, R. G., Heath, A. M., Hogan, R. J. & Rogers, G. W. Comparison of balloon-carried atmospheric motion sensors with Doppler lidar turbulence measurements. Rev. Scient. Inst. 80, 026108 (2009).

    CAS  Article  Google Scholar 

  13. 13

    McCann, D. W. Gravity waves, unbalanced flow, and clear air turbulence. Natl Weath. Digest. 25, 3–14 (2001).

    Google Scholar 

  14. 14

    Colson, D. & Panofsky, H. A. An index of clear-air turbulence. Q. J. R. Meteorol. Soc. 91, 507–513 (1965).

    Article  Google Scholar 

  15. 15

    Brown, R. New indices to locate clear-air turbulence. Meteorol. Mag. 102, 347–360 (1973).

    Google Scholar 

  16. 16

    Ellrod, G. P. & Knapp, D. L. An objective clear-air turbulence forecasting technique: Verification and operational use. Weather Forecast. 7, 150–165 (1992).

    Article  Google Scholar 

  17. 17

    Jaeger, E. B. & Sprenger, M. A Northern Hemispheric climatology of indices for clear air turbulence in the tropopause region derived from ERA40 reanalysis data. J. Geophys. Res. 112, D20106 (2007).

    Article  Google Scholar 

  18. 18

    Williams, P. D., Haine, T. W. N & Read, P. L. On the generation mechanisms of short-scale unbalanced modes in rotating two-layer flows with vertical shear. J. Fluid Mech. 528, 1–22 (2005).

    Article  Google Scholar 

  19. 19

    Williams, P. D., Haine, T. W. N. & Read, P. L. Inertia–gravity waves emitted from balanced flow: Observations, properties, and consequences. J. Atmos. Sci. 65, 3543–3556 (2008).

    Article  Google Scholar 

  20. 20

    Knox, J. A., McCann, D. W. & Williams, P. D. Application of the Lighthill–Ford theory of spontaneous imbalance to clear-air turbulence forecasting. J. Atmos. Sci. 65, 3292–3304 (2008).

    Article  Google Scholar 

  21. 21

    McCann, D. W., Knox, J. A. & Williams, P. D. An improvement in clear-air turbulence forecasting based on spontaneous imbalance theory: the ULTURB algorithm. Meteorol. Appl. 19, 71–78 (2012).

    Article  Google Scholar 

  22. 22

    Gill, P. G. Objective verification of World Area Forecast Centre clear-air turbulence forecasts. Meteorol. Appl. (2012).

  23. 23

    Wolff, J. K. & Sharman, R. D. Climatology of upper-level turbulence over the contiguous United States. J. Appl. Meteorol. Climatol. 47, 2198–2214 (2008).

    Article  Google Scholar 

  24. 24

    Delworth, T. L. et al. GFDL’s CM2 global coupled climate models. Part I: Formulation and simulation characteristics. J. Clim. 19, 643–674 (2006).

    Article  Google Scholar 

  25. 25

    Gnanadesikan, A. et al. GFDL’s CM2 global coupled climate models. Part II: The baseline ocean simulation. J. Clim. 19, 675–697 (2006).

    Article  Google Scholar 

  26. 26

    Meehl, G. A. et al. in IPCC Climate Change 2007: The Physical Science Basis (eds Solomon, S. et al.) Ch. 10, 747–846 (Cambridge Univ. Press, 2007).

    Google Scholar 

  27. 27

    Irvine, E. A., Hoskins, B. J., Shine, K. P., Lunnon, R. W. & Froemming, C. Characterizing North Atlantic weather patterns for climate-optimal aircraft routing. Meteorol. Appl. 20, 80–93 (2013).

    Article  Google Scholar 

  28. 28

    Stouffer, R. J. et al. GFDL’s CM2 global coupled climate models. Part IV: Idealized climate response. J. Clim. 19, 723–740 (2006).

    Article  Google Scholar 

  29. 29

    Meehl, G. A. et al. The WCRP CMIP3 multi-model dataset: A new era in climate change research. Bull. Am. Meteorol. Soc. 88, 1383–1394 (2007).

    Article  Google Scholar 

  30. 30

    Reichler, T. & Kim, J. Uncertainties in the climate mean state of global observations, reanalyses, and the GFDL climate model. J. Geophys. Res. 113, D05106 (2008).

    Article  Google Scholar 

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P.D.W. is financially supported through a University Research Fellowship from the Royal Society (reference: UF080256). The authors acknowledge the modelling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP’s Working Group on Coupled Modelling (WGCM) for their roles in making available the WCRP CMIP3 multi-model data set. Support of this data set is provided by the Office of Science, US Department of Energy. The authors thank A. Turner for facilitating access to the data set. The authors thank E. Irvine and L. Wilcox for supplying information about flight routes, which were calculated using the Aviation Environmental Design Tool (AEDT) from the US Federal Aviation Administration (FAA).

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P.D.W. and M.M.J. jointly conceived the study. P.D.W. computed the turbulence diagnostics, produced the figures and wrote the paper with input from M.M.J. The authors discussed the results and implications with each other at all stages.

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Correspondence to Paul D. Williams.

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The authors declare no competing financial interests.

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Williams, P., Joshi, M. Intensification of winter transatlantic aviation turbulence in response to climate change. Nature Clim Change 3, 644–648 (2013).

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