IDEAS home Printed from https://ideas.repec.org/a/nas/journl/v116y2019p23942-23946.html
   My bibliography  Save this article

Normalized US hurricane damage estimates using area of total destruction, 1900−2018

Author

Listed:
  • Aslak Grinsted

    (Physics of Ice, Climate and Earth, Niels Bohr Institute, University of Copenhagen, Copenhagen 2200, Denmark)

  • Peter Ditlevsen

    (Physics of Ice, Climate and Earth, Niels Bohr Institute, University of Copenhagen, Copenhagen 2200, Denmark)

  • Jens Hesselbjerg Christensen

    (Physics of Ice, Climate and Earth, Niels Bohr Institute, University of Copenhagen, Copenhagen 2200, Denmark)

Abstract

Hurricanes are the most destructive natural disasters in the United States. The record of economic damage from hurricanes shows a steep positive trend dominated by increases in wealth. It is necessary to account for temporal changes in exposed wealth, in a process called normalization, before we can compare the destructiveness of recorded damaging storms from different areas and at different times. Atmospheric models predict major hurricanes to get more intense as Earth warms, and we expect this trend to eventually emerge above the natural variability in the record of normalized damage. However, the evidence for an increasing trend in normalized damage since 1900 has been controversial. In this study, we develop a record of normalized damage since 1900 based on an equivalent area of total destruction. Here, we show that this record has an improved signal-to-noise ratio over earlier normalization schemes based on calculations of present-day economic damage. Our data reveal an emergent positive trend in damage, which we attribute to a detectable change in extreme storms due to global warming. Moreover, we show that this increasing trend in damage can also be exposed in existing normalized damage records by looking at the frequency of the largest damage events. Our record of normalized damage, framed in terms of an equivalent area of total destruction, is a more reliable measure for climate-related changes in extreme weather, and can be used for better risk assessments on hurricane disasters.

Suggested Citation

  • Aslak Grinsted & Peter Ditlevsen & Jens Hesselbjerg Christensen, 2019. "Normalized US hurricane damage estimates using area of total destruction, 1900−2018," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(48), pages 23942-23946, November.
  • Handle: RePEc:nas:journl:v:116:y:2019:p:23942-23946
    as

    Download full text from publisher

    File URL: http://www.pnas.org/content/116/48/23942.full
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Franzke, Christian L.E., 2021. "Towards the development of economic damage functions for weather and climate extremes," Ecological Economics, Elsevier, vol. 189(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nas:journl:v:116:y:2019:p:23942-23946. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eric Cain (email available below). General contact details of provider: http://www.pnas.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.