Global Tropical Cyclone Damage Potential

  • Greg J. HollandEmail author
  • James M. Done
  • Rowan Douglas
  • Geoffrey R. Saville
  • Ming Ge
Part of the Hurricane Risk book series (HR, volume 1)


An approach to assessing the damage potential of tropical cyclones (TCs) is developed using a combination of physical reasoning and results of previous studies. The key TC damage parameters of intensity, size, and translational speed are incorporated into a single index of Cyclone Damage Potential (CDP). The CDP is developed to represent offshore wind, wave, and current damage. Further testing is needed to establish the importance of each TC parameter for onshore wind and coastal surge damage. The CDP is applicable to individual TCs and to seasonal, global, and climatological assessments. Global climatological summaries reveal high damage potential pathways and the dominant contribution of the Northwest Pacific to total global damage potential. Assessing actual impact requires an additional step of combining the CDP with an exposure and vulnerability assessment derived from a range of local factors.


Tropical cyclones Impact indices Potential damage 



NCAR is funded by the National Science Foundation and this work was partially supported by NSF Award 1048829, the Willis Research Network, the Research Partnership to Secure Energy for America, and the Climatology and Simulation of Eddies/Eddies Joint Industry Project.


  1. Allen JT, Tippett MK, Sobel AH (2015) An empirical model relating U.S. monthly hail occurrence to large-scale meteorological environment. J Adv Model Earth Syst 7:226–243. CrossRefGoogle Scholar
  2. Arnold TH, Chiltern CH (1963) New index shows plant cost trends. Chem Eng 70:143–148Google Scholar
  3. Bell GD, Halpert MS, Schnell RC, Higgins RW, Lawrimore J, Kousky VE, Tinker R, Thiaw W, Chelliah M, Artusa A (2000) Climate Assessment for 1999. Bull Am Meteorol Soc 81:1328–1132CrossRefGoogle Scholar
  4. BOM (2017) Tropical cyclone severity categories. Bureau of Meteorology. Accessed 1 Oct 2017
  5. Chavas DR, Yonekura E, Karamperidou C, Cavanaugh N, Serafin K (2013) U.S. hurricanes and economic damage: extreme value perspective. Nat Hazards Rev 14(4):237–246CrossRefGoogle Scholar
  6. Czajkowski J, Done JM (2014) As the wind blows? Understanding hurricane damages at the local level through a case study analysis. Weather Clim Soc 6:202–217CrossRefGoogle Scholar
  7. Davenport AG (1967) Gust loading factors. J Struct Div 93:11–34Google Scholar
  8. Davis C, Wang W, Chen SS, Chen Y, Corbosiero K, DeMaria M, Dudhia J, Holland G, Klemp J, Michalakes J, Reeves H, Rotunno R, Snyder C, Xiao Q (2008) Prediction of land falling hurricanes with the advanced hurricane WRF model. Mon Weather Rev 136:1990–2005. CrossRefGoogle Scholar
  9. Demuth J, DeMaria M, Knaff JA (2006) Improvement of advanced microwave sounder unit tropical cyclone intensity and size estimation algorithms. J Appl Meteor Climatol 45:1573–1581CrossRefGoogle Scholar
  10. Done JM, PaiMazumder D, Towler E, Kishtawal D (2015) Estimating tropical cyclone impacts using an index of damage potential. Clim Chang. CrossRefGoogle Scholar
  11. Done JM, Simmons KS, Czajkowski J (2018) Relationship between residential losses and hurricane winds: role of the Florida building code. ASCE-ASME J Risk Uncertainty Eng Syst Part A 4(1). CrossRefGoogle Scholar
  12. Elsner JB, Hodges RE, Jagger TH (2012) Spatial grids for hurricane climate research. Clim Dyn 39:21–36CrossRefGoogle Scholar
  13. Emanuel KA (2005) Increasing destructiveness of tropical cyclones over the past 30 years. Nature 436:686–688CrossRefGoogle Scholar
  14. Emanuel KA (2011) Global warming effects on U.S. hurricane damage. Weather Clim Soc 3:261–268CrossRefGoogle Scholar
  15. Geiger T, Frieler K, Levermann A (2016) High-income does not protect against hurricane losses. Environ Res Lett 11:084012. CrossRefGoogle Scholar
  16. Gray WM, Landsea CW (1992) African rainfall as a precursor of hurricane-related destruction on the U.S. east coast. Bull Am Meteorol Soc 73:1352–1364CrossRefGoogle Scholar
  17. Grinsted A, Moore JC, Jevrejeva S (2012) Homogeneous record of Atlantic hurricane surge threat since 1923. Proc Natl Acad Sci 109:19601–19605CrossRefGoogle Scholar
  18. Hebert C, Weinzapfel R (2006) The hurricane severity index. Impact Weather. Accessed 1 Oct 2017
  19. Holland GJ (1983) Tropical cyclone motion: environmental interaction plus a beta effect. J Atmos Sci 40:328–342CrossRefGoogle Scholar
  20. Holland GJ (2012) Hurricanes and rising global temperatures. Proc Natl Acad Sci 109(48):19513–19514CrossRefGoogle Scholar
  21. Irish JL, Resio DT, Ratcliff JJ (2008) The influence of storm size on hurricane surge. J Phys Oceanogr 38:2003–2013CrossRefGoogle Scholar
  22. Jain V (2010) The role of wind duration in damage estimation. AIR currents. Accessed 1 Oct 2017
  23. Kantha L (2006) Time to replace the saffir-simpson hurricane scale? EOS Trans AGU 87(1):3CrossRefGoogle Scholar
  24. Knapp KR, Kruk MC, Levinson DH, Diamond HJ, Neumann CJ (2010) The international best track archive for climate stewardship (IBTrACS): unifying tropical cyclone best track data. Bull Am Meteorol Soc 91:363–376CrossRefGoogle Scholar
  25. Kozar ME, Misra V (2014) Statistical prediction of integrated kinetic energy in North Atlantic tropical cyclones. Mon Weather Rev 142:4646–4657CrossRefGoogle Scholar
  26. Lin N, Emanuel K, Oppenheimer M, Vanmarcke E (2012) Physically based assessment of hurricane surge threat under climate change. Nat Clim Chang 2(6):462–467CrossRefGoogle Scholar
  27. Matyas CJ (2010) Associations between the size of hurricane rain fields at landfall and their surrounding environments. Meteorog Atmos Phys 106:135–148CrossRefGoogle Scholar
  28. Miller C, Gibbons M, Beatty K, Boissonnade A (2013) Topographic speed-up effects and observed roof damage on Bermuda following hurricane Fabian (2003). Weather Forecast 28:159–174CrossRefGoogle Scholar
  29. Murnane RJ, Elsner JB (2012) Maximum wind speeds and US hurricane losses. Geophys Res Lett 39:L16707CrossRefGoogle Scholar
  30. Needham HF, Keim BD, Sathiaraj D (2015) A review of tropical cyclone-generated storm surges: global data sources, observations, and impacts. Rev Geophys 53:545–591. CrossRefGoogle Scholar
  31. NHC (2017) The saffir-simpson hurricane wind scale. National Hurricane Center. Accessed 1 Oct 2017
  32. Olsen A, Porter K (2011) What we know about demand surge: brief summary. Nat Hazards Rev 12(2):62–71CrossRefGoogle Scholar
  33. Pielke RA (2007) Future economic damage from tropical cyclones: sensitivities to societal and climate changes. Phil Trans R Soc A 365:1–13CrossRefGoogle Scholar
  34. Pita G, de Schwarzkopf MLA (2016) Urban downburst vulnerability and damage assessment from a case study in Argentina. Nat Hazards 83(1):445–463. CrossRefGoogle Scholar
  35. Pita G, Pinelli J, Gurley K, Mitrani-Reiser J (2015) State of the art of hurricane vulnerability estimation methods: a review. Nat Hazards Rev 16(2). CrossRefGoogle Scholar
  36. Powell MD, Reinhold TA (2007) Tropical cyclone destructive potential by integrated kinetic energy. Bull Am Meteor Soc 88:513–526CrossRefGoogle Scholar
  37. Proudman J (1953) Dynamical oceanography. Methuen, London Wiley, New YorkGoogle Scholar
  38. Rego JL, Li C (2009) On the importance of the forward speed of hurricanes in storm surge forecasting: a numerical study. Geophys Res Lett 36:L07609CrossRefGoogle Scholar
  39. Schmidt S, Kemfert C, Hoppe P (2010) The impact of socio-economics and climate change on tropical cyclone losses in the USA. Reg Environ Chang 10:13–26CrossRefGoogle Scholar
  40. Simpson RH, Riehl H (1981) The hurricane and its impact. Louisiana State Univ Press, Baton RougeGoogle Scholar
  41. Smith SE (2010) Managing catastrophic risk: beyond cat bonds. In: Tang K (ed) Weather risk management: a guide for corporations, hedge funds and investors. Incisive financial publishing ltd, p 199–213Google Scholar
  42. Tippett MK, Sobel AH, Camargo SJ (2012) Association of U.S. tornado occurrence with monthly environmental parameters. Geophys Res Lett 39:L02801. CrossRefGoogle Scholar
  43. Tippett MK, Sobel AH, Camargo SJ, Allen JT (2014) An empirical relation between U.S. tornado activity and monthly environmental parameters. J Clim 27:2983–2999. CrossRefGoogle Scholar
  44. Vatavuk WM (2002) Updating the plant cost index. Chem Eng 109(1):62–70Google Scholar
  45. Walker G, Reardon G, Jancauskas E (1988) Observed effects of topography on the wind field of cyclone Winifred. J Wind Eng Ind Aerod 28:79–88CrossRefGoogle Scholar
  46. Yu J-Y, Chou C, Chiu P–G (2009) A revised accumulated cyclone energy index. Geophys Res Lett 36:L14710CrossRefGoogle Scholar
  47. Zhai AR, Jiang JH (2014) Dependence of US hurricane economic loss on maximum wind speed and storm size. Environ Res Lett 9:064019CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Greg J. Holland
    • 1
    • 2
    Email author
  • James M. Done
    • 1
    • 2
  • Rowan Douglas
    • 3
  • Geoffrey R. Saville
    • 3
  • Ming Ge
    • 1
  1. 1.National Center for Atmospheric ResearchBoulderUSA
  2. 2.Willis Research NetworkLondonUK
  3. 3.Willis Towers WatsonLondonUK

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