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Projected increase in tropical cyclones near Hawaii



Projections of the potential impacts of global warming on regional tropical cyclone activity are challenging owing to multiple sources of uncertainty in model physical schemes and different assumptions for future sea surface temperatures1. A key factor in projecting climate change is to derive robust signals of future changes in tropical cyclone activity across different model physical schemes and different future patterns in sea surface temperature. A suite of future warming experiments (2075–2099), using a state-of-the-art high-resolution global climate model1,2,3, robustly predicts an increase in tropical cyclone frequency of occurrence around the Hawaiian Islands. A physically based empirical model analysis3,4 reveals that the substantial increase in the likelihood of tropical cyclone frequency is primarily associated with a northwestward shifting of the tropical cyclone track in the open ocean southeast of the islands. Moreover, significant and robust changes in large-scale environmental conditions strengthen in situ tropical cyclone activity in the subtropical central Pacific. These results highlight possible future increases in storm-related socio-economic and ecosystem damage for the Hawaiian Islands.

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Figure 1: Annual mean of TCF (number per year, colour scale) counted at every 5°×5° grid cell.
Figure 2: Ensemble mean contribution of each term to changes in TCF (colour scale) calculated by the empirical statistical analysis.
Figure 3: Simulated mean steering flow during July–October.
Figure 4: July–October mean large-scale variables.

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  1. Murakami, H., Mizuta, R. & Shindo, E. Future changes in tropical cyclone activity projected by multi-physics and multi-SST ensemble experiments using the 60-km-mesh MRI-AGCM. Clim. Dynam. 39, 2569–2584 (2012).

    Article  Google Scholar 

  2. Murakami, H. et al. Future changes in tropical cyclone activity projected by the new high-resolution MRI-AGCM. J. Clim. 25, 3237–3260 (2012).

    Article  Google Scholar 

  3. Murakami, H., Sugi, M. & Kitoh, A. Future changes in tropical cyclone activity in the North Indian Ocean projected by high-resolution MRI-AGCMs. Clim. Dynam. 40, 1949–1968 (2013).

    Article  Google Scholar 

  4. Yokoi, S. & Takayabu, Y. N. Attribution of decadal variability in tropical cyclone passage frequency over the Western North Pacific: A new approach emphasizing the genesis location of cyclones. J. Clim. 26, 973–987 (2013).

    Article  Google Scholar 

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

    Article  CAS  Google Scholar 

  6. 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  CAS  Google Scholar 

  7. Landsea, C. W., Harper, B. A., Hoarau, K. & Knaff, J. A. Can we detect trends in extreme tropical cyclones? Science 313, 452–454 (2006).

    Article  CAS  Google Scholar 

  8. Knutson, T. et al. Tropical cyclones and climate change. Nature Geosci. 3, 157–163 (2010).

    Article  CAS  Google Scholar 

  9. Oouchi, K. et al. Tropical cyclone climatology in a global-warming climate as simulated in a 20 km-mesh global atmospheric model: Frequency and wind intensity analysis. J. Meteorol. Soc. Jpn 84, 259–276 (2006).

    Article  Google Scholar 

  10. Bengtsson, L. et al. How may tropical cyclones change in a warmer climate? Tellus 59A, 539–561 (2007).

    Article  Google Scholar 

  11. Emanuel, K., Sundararajan, R. & Williams, J. Hurricanes and global warming: Results from downscaling IPCC AR4 simulations. Bull. Am. Meteorol. Soc. 89, 347–367 (2008).

    Article  Google Scholar 

  12. Zhao, M., Held, I., Lin, S-J. & Vecchi, G. A. Simulations of global hurricane climatology, interannual variability, and response to global warming using a 50 km resolution GCM. J. Clim. 22, 6653–6678 (2009).

    Article  Google Scholar 

  13. Zhao, M. & Held, I. M. Tropical cyclone-permitting GCM simulations of hurricane frequency response to sea surface temperature anomalies projected for the late-twenty-first century. J. Clim. 25, 2995–3009 (2012).

    Article  Google Scholar 

  14. Solomon, S. et al. (eds) IPCC Climate Change 2007: The Physical Science Basis (Cambridge Univ. Press, 2007).

  15. Vecchi, G. A. & Soden, B. J. Global warming and the weakening of the tropical circulation. J. Clim. 20, 4316–4340 (2007).

    Article  Google Scholar 

  16. Xie, S-P. et al. Global warming pattern formation: Sea surface temperature and rainfall. J. Clim. 23, 966–986 (2010).

    Article  Google Scholar 

  17. Li, T. et al. Global warming shifts Pacific tropical cyclone location. Geophys. Res. Lett. 37, L21804 (2010).

    Google Scholar 

  18. Landsea, C. W. et al. in Hurricanes and Typhoons: Past, Present and Future (eds Murname, R. J. & Liu, K-B.) 177–221 (Columbia Univ. Press, 2004).

    Google Scholar 

  19. Murakami, H. & Sugi, M. Effect of model resolution on tropical cyclone climate projections. SOLA 6, 73–76 (2010).

    Article  Google Scholar 

  20. Murakami, H. & Wang, B. Future change of North Atlantic tropical cyclone tracks: Projection by a 20-km-mesh global atmospheric model. J. Clim. 23, 2699–2721 (2010).

    Article  Google Scholar 

  21. Murakami, H., Wang, B. & Kitoh, A. Future change of western North Pacific typhoons: Projections by a 20-km-mesh global atmospheric model. J. Clim. 24, 1154–1169 (2011).

    Article  Google Scholar 

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

    Article  Google Scholar 

  23. Unisys weather hurricane/tropical data (Unisys); available at

  24. Rossby, C. G. On displacement and intensity changes of atmospheric vortices. J. Mar. Res. 7, 175–196 (1948).

    Google Scholar 

  25. Holland, G. J. Tropical cyclone motion: Environmental interaction plus a beta effect. J. Atmos. Sci. 40, 328–342 (1983).

    Article  Google Scholar 

  26. Wang, B. & Li, X. The beta drift of three-dimensional vortices: A numerical study. Mon. Weath. Rev. 120, 579–593 (1992).

    Article  Google Scholar 

  27. Bister, M. & Emanuel, K. A. Dissipative heating and hurricane intensity. Meteorol. Atmos. Phys. 65, 233–240 (1998).

    Article  Google Scholar 

  28. Large, W. G. & Danabasoglu, G. Attribution and impacts of upper-ocean biases in CCSM3. J. Clim. 19, 2325–2346 (2006).

    Article  Google Scholar 

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This work was conducted under the framework of the ‘Projection of the Change in Future Weather Extremes Using Super-High-Resolution Atmospheric Models’ supported by the KAKUSHIN and SOUSEI programmes of the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan. H.M. was supported by the ‘Research on Prediction of Climate and Environmental Change to Contribute to Mitigation Plan Decision Against Climate Change’ of the MRI of Japan. B.W. acknowledges the support from the Global Research Laboratory (GRL) Program of the Korean Ministry of Education, Science and Technology (MEST, 2011-0021927). Calculations were performed on the Earth Simulator. This contribution is School of Ocean and Earth Science and Technology publication No. 8917 and International Pacific Research Center publication No. 975.

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H.M. designed this study, carried out the experiments and analysed the results. B.W. initiated this study and H.M. was the lead writer of the manuscript. Other authors made comments on and revised the initial manuscript.

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Correspondence to Hiroyuki Murakami.

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Murakami, H., Wang, B., Li, T. et al. Projected increase in tropical cyclones near Hawaii. Nature Clim Change 3, 749–754 (2013).

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