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Normalized hurricane damage in the continental United States 1900–2017

Author

Listed:
  • Jessica Weinkle

    (University of North Carolina Wilmington)

  • Chris Landsea

    (National Oceanic and Atmospheric Administration)

  • Douglas Collins

    (Climate Index Working Group Chair, Casualty Actuarial Society)

  • Rade Musulin

    (FB Alliance Insurance)

  • Ryan P. Crompton

    (Risk Frontiers)

  • Philip J. Klotzbach

    (Colorado State University)

  • Roger Pielke

    (University of Colorado Boulder)

Abstract

Direct economic losses result when a hurricane encounters an exposed, vulnerable society. A normalization estimates direct economic losses from a historical extreme event if that same event was to occur under contemporary societal conditions. Under the global indicator framework of United Nations Sustainable Development Goals, the reduction of direct economic losses as a proportion of total economic activity is identified as a key indicator of progress in the mitigation of disaster impacts. Understanding loss trends in the context of development can therefore aid in assessing sustainable development. This analysis provides a major update to the leading dataset on normalized US hurricane losses in the continental United States from 1900 to 2017. Over this period, 197 hurricanes resulted in 206 landfalls with about US$2 trillion in normalized (2018) damage, or just under US$17 billion annually. Consistent with observed trends in the frequency and intensity of hurricane landfalls along the continental United States since 1900, the updated normalized loss estimates also show no trend. A more detailed comparison of trends in hurricanes and normalized losses over various periods in the twentieth century to 2017 demonstrates a very high degree of consistency.

Suggested Citation

  • Jessica Weinkle & Chris Landsea & Douglas Collins & Rade Musulin & Ryan P. Crompton & Philip J. Klotzbach & Roger Pielke, 2018. "Normalized hurricane damage in the continental United States 1900–2017," Nature Sustainability, Nature, vol. 1(12), pages 808-813, December.
    • Handle: RePEc:nat:natsus:v:1:y:2018:i:12:d:10.1038_s41893-018-0165-2
    DOI: 10.1038/s41893-018-0165-2
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    Cited by:

    1. Mohammad Hadavi & Lutong Sun & Djordje Romanic, 2023. "Normalized insured losses caused by windstorms in Quebec and Ontario, Canada, in the period 2008-2021," Papers 2309.16695, arXiv.org.
    2. Yi Li & Youmin Tang & Shuai Wang & Ralf Toumi & Xiangzhou Song & Qiang Wang, 2023. "Recent increases in tropical cyclone rapid intensification events in global offshore regions," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    3. Chin‐Hsien Yu & Bruce A. McCarl & Jian‐Da Zhu, 2022. "Market response to typhoons: The role of information and expectations," Southern Economic Journal, John Wiley & Sons, vol. 89(2), pages 496-521, October.
    4. Pielke, Roger Jr, 2024. "Scientific Integrity and U.S. “Billion Dollar Disasters”," SocArXiv 3yf7b, Center for Open Science.
    5. Dunning, Kelly H., 2021. "Adaptive governance of recreational ecosystem services following a major hurricane," Ecosystem Services, Elsevier, vol. 50(C).
    6. Wenchang Yang & Elizabeth Wallace & Gabriel A. Vecchi & Jeffrey P. Donnelly & Julien Emile-Geay & Gregory J. Hakim & Larry W. Horowitz & Richard M. Sullivan & Robert Tardif & Peter J. Hengstum & Tyler, 2024. "Last millennium hurricane activity linked to endogenous climate variability," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    7. Max Z. Li & Karthik Gopalakrishnan & Kristyn Pantoja & Hamsa Balakrishnan, 2021. "Graph Signal Processing Techniques for Analyzing Aviation Disruptions," Transportation Science, INFORMS, vol. 55(3), pages 553-573, May.
    8. Chi Truong & Matteo Malavasi & Han Li & Stefan Trueck & Pavel V. Shevchenko, 2024. "Optimal dynamic climate adaptation pathways: a case study of New York City," Papers 2402.02745, arXiv.org.
    9. Ben Clarke & Friederike Otto & Richard Jones, 2023. "When don’t we need a new extreme event attribution study?," Climatic Change, Springer, vol. 176(5), pages 1-19, May.
    10. Aggarwal, Divya & Kalia, Deepali, 2022. "Examining comovement and causality between producer price index for P&C insurance premium and uncertainty indices: Wavelet and non-parametric quantile causality approach," Research in Economics, Elsevier, vol. 76(2), pages 141-148.

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