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Maximum hurricane intensity preceded by increase in lightning frequency

An Erratum to this article was published on 21 May 2009


Hurricanes are the Earth’s most deadly storms, causing tremendous devastation around the globe every year. Forecasters are quite successful in predicting the pathways of hurricanes days in advance1, but hurricane intensification is less accurately predicted. Here we analyse the evolution of maximum winds and total lightning frequency every 6 h during the entire lifetime of 56 hurricanes around the globe. We find that in all of these hurricanes, lightning frequency and maximum sustained winds are significantly correlated (mean correlation coefficient of 0.82), where the maximum sustained winds and minimum pressures in hurricanes are preceded by increases in lightning activity approximately one day before the peak winds. We suggest that increases in lightning activity in hurricanes are related to enhanced convection that increases the rate of moistening of the lower troposphere, which in turn leads to the intensification of hurricanes2. As lightning activity can now be monitored continuously in hurricanes at any location around the globe3, lightning data may contribute to better hurricane forecasts in the future.

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Figure 1: Global distribution and paths of the 58 hurricanes used in this study.
Figure 2: Hurricane Dennis 5–14 July 2005.
Figure 3: Lag times between the maximum lightning activity and the maximum sustained winds in 56 hurricanes.
Figure 4: The correlation coefficients (r) between maximum sustained winds and lightning activity.


  1. 1

    Shen, B. W. et al. Hurricane forecasts with a global mesoscale-resolving model: Preliminary results with Hurricane Katrina (2005). Geophys. Res. Lett. 33, L13813 (2006).

    Article  Google Scholar 

  2. 2

    Emanuel, K. The behavior of a simple hurricane model using a convective scheme based on subcloud-layer entropy equilibrium. J. Atmos. Sci. 52, 3960–3968 (1995).

    Article  Google Scholar 

  3. 3

    Lay, E. H., Jacobson, A. R., Holzworth, R. H., Rodger, C. J. & Dowden, R. L. Local time variation in land/ocean lightning flash density as measured by the World Wide Lightning Location Network. J. Geophys. Res. 112, D13111 (2007).

    Article  Google Scholar 

  4. 4

    Emanuel, K. Increasing destructiveness of tropical cyclones over the past 30 years. Nature 436, 686–688 (2005).

    Article  Google Scholar 

  5. 5

    Webster, P. J., Holland, G. J., Curry, J. A. & Chang, H. R. Changes in tropical cyclone number, duration, and intensity in a warming environment. Science 309, 1844–1846 (2005).

    Article  Google Scholar 

  6. 6

    MacGorman, D. & Rust, D. The Electrical Nature of Storms (Oxford Univ. Press, 1998).

    Google Scholar 

  7. 7

    Sherwood, S. C., Phillips, V. T. J. & Wettlaufer, J. S. Small ice crystals and the climatology of lightning. Geophys. Res. Lett. 33, L05804 (2006).

    Article  Google Scholar 

  8. 8

    Black, R. A., Bluestein, H. B. & Black, M. L. Unusually strong vertical motions in a Caribbean hurricane. Mon. Weath. Rev. 122, 2722–2739 (1994).

    Article  Google Scholar 

  9. 9

    Lyons, W. A. & Keen, C. S. Observations of lightning in convective supercells within tropical storms and hurricanes. Mon. Weath. Rev. 122, 1897–1916 (1994).

    Article  Google Scholar 

  10. 10

    Molinari, J., Moore, P. K., Idone, V. P., Henderson, R. W. & Saljoughy, A. B. Cloud-to-ground lightning in Hurricane Andrew. J. Geophys. Res. 99, 16665–16676 (1994).

    Article  Google Scholar 

  11. 11

    Samsury, C. E. & Orville, R. E. Cloud-to-ground lightning in tropical cyclones: A study of Hurricanes Hugo (1989) and Jerry (1989). Mon. Weath. Rev. 122, 1887–1896 (1994).

    Article  Google Scholar 

  12. 12

    Molinari, J., Moore, P. K. & Idone, V. P. Convective structure of hurricanes as revealed by lightning locations. Mon. Weath. Rev. 127, 520–534 (1999).

    Article  Google Scholar 

  13. 13

    Black, R. A. & Hallet, J. Electrification of the hurricane. J. Atmos. Sci. 56, 2004–2028 (1999).

    Article  Google Scholar 

  14. 14

    Shoa, X. M. et al. Katrina and Rita were lit up with lightning. EOS 86, 398–399 (2005).

    Article  Google Scholar 

  15. 15

    Ludlum, D. M. Early American Hurricanes, 1492–1870 (American Meteorological Society, 1963).

    Google Scholar 

  16. 16

    Price, C., Yair, Y. & Asfur, M. East African lightning as a precursor of Atlantic hurricane activity. Geophys. Res. Lett. 34, L09805 (2007).

    Article  Google Scholar 

  17. 17

    Christian, H. J. et al. Global frequency and distribution of lightning as observed from space by the Optical Transient Detector. J. Geophys. Res. 108, 4005 (2003).

    Article  Google Scholar 

  18. 18

    Rodger, C. J. et al. Detection efficiency of the VLF World-Wide Lightning Location Network (WWLLN): Initial case study. Annal. Geophys. 24, 3197–3214 (2006).

    Article  Google Scholar 

  19. 19

    Montgomery, M. & Enagonio, J. Tropical cyclogenesis via convectively forced vortex Rossby waves in a three-dimensional quasigeostrophic model. J. Atmos. Sci. 55, 3176–3207 (1998).

    Article  Google Scholar 

  20. 20

    Papadopoulos, T., Chronis, G. & Anagnostou, E. N. Improving convective precipitation forecasting through assimilation of regional lightning measurements in a mesoscale model. Mon. Weath. Rev. 133, 1961–1977 (2005).

    Article  Google Scholar 

  21. 21

    Rodger, C. J., Brundell, J. B., Holzworth, R. H. & Lay, E. H. Growing detection efficiency of the World Wide Lightning Location Network. Am. Inst. Phys. Conf. Proc. (in the press).

  22. 22

    Jacobson, A. R., Holzworth, R., Harlin, J., Dowden, D. & Lay, E. Performance assessment of the World Wide Lightning Location Network (WWLLN), using the Los Alamos Sferic Array (LASA) as ground truth. J. Atm. Oceanic Tech. 23, 1082–1092 (2006).

    Google Scholar 

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This research was financially supported in part by the Research Authority of the Open University of Israel. WWLLN data were kindly made available by R. Dowden (University of Otago, New Zealand) and R. Holzworth (University of Washington, USA).

Author information




C.P. instigated and directed the research, analysed the hurricane data and wrote the manuscript. M.A. analysed the lightning data and was involved in the data interpretation. Y.Y. was involved in the project planning and data interpretation.

Corresponding author

Correspondence to Colin Price.

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Price, C., Asfur, M. & Yair, Y. Maximum hurricane intensity preceded by increase in lightning frequency. Nature Geosci 2, 329–332 (2009).

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