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Projections of future tropical cyclone damage with a high-resolution global climate model

Author

Listed:
  • A. Gettelman

    (National Center for Atmospheric Research)

  • D. N. Bresch

    (Swiss Federal Institute of Technology, ETH Zurich)

  • C. C. Chen

    (National Center for Atmospheric Research)

  • J. E. Truesdale

    (National Center for Atmospheric Research)

  • J. T. Bacmeister

    (National Center for Atmospheric Research)

Abstract

High-resolution climate model simulations and a tropical cyclone damage model are used to simulate the economic damage due to tropical cyclones. The damage model produces reasonable damage estimates compared to observations. The climate model produces realistically intense tropical cyclones over a historical simulation, with significant basin scale correlation of the inter-annual variability of cyclone numbers to observed storm numbers. However, the climate model produces too many moderate tropical cyclones, particularly in the N. Pacific. Annual mean cyclone damage with simulated storms is similar to estimates with the damage model and observed storms, and with actual economic losses. Ensembles of future simulations with different mitigation scenarios and different sea surface temperatures (SSTs), as well as societal changes, are used to assess future projections of cyclone damage. Damage estimates are highly dependent on the internal variability of the coupled system. Using different ensemble members or different SSTs affects damage results by ±40 %. Experiments indicate that despite decreases in storm numbers in the future, strong landfalling storms increase in E. Asia, increasing global storm damage by ∼50 % in 2070 over 2015. Little significant benefit is seen from mitigation, but only one ensemble is available. Projected increases in vulnerable assets increase damage from simulated storms by more than threefold (∼300 %, assuming no adaptation) indicating future growth will swamp potential changes in tropical cyclones.

Suggested Citation

  • A. Gettelman & D. N. Bresch & C. C. Chen & J. E. Truesdale & J. T. Bacmeister, 2018. "Projections of future tropical cyclone damage with a high-resolution global climate model," Climatic Change, Springer, vol. 146(3), pages 575-585, February.
  • Handle: RePEc:spr:climat:v:146:y:2018:i:3:d:10.1007_s10584-017-1902-7
    DOI: 10.1007/s10584-017-1902-7
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    References listed on IDEAS

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    Cited by:

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    2. Lomborg, Bjorn, 2020. "Welfare in the 21st century: Increasing development, reducing inequality, the impact of climate change, and the cost of climate policies," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    3. Shuxian Liu & Yang Liu & Zhigang Chu & Kun Yang & Guanlan Wang & Lisheng Zhang & Yuanda Zhang, 2023. "Evaluation of Tropical Cyclone Disaster Loss Using Machine Learning Algorithms with an eXplainable Artificial Intelligence Approach," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    4. Stefan Hochrainer-Stigler & Qinhan Zhu & Alessio Ciullo & Jonas Peisker & Bart Hurk, 2023. "Differential Fiscal Performances of Plausible Disaster Events: A Storyline Approach for the Caribbean and Central American Governments under CCRIF," Economics of Disasters and Climate Change, Springer, vol. 7(2), pages 209-229, July.
    5. Jere Lehtomaa & Clément Renoir, 2023. "The Economic Impact of Tropical Cyclones: Case Studies in General Equilibrium," CER-ETH Economics working paper series 23/382, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    6. Chengcheng Wan & Yafei Yan & Liucheng Shen & Jianli Liu & Xiaoxia Lai & Wei Qian & Juan Nie & Jiahong Wen, 2023. "Damage analysis of retired typhoons in mainland China from 2009 to 2019," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3225-3242, April.
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