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The impact of extra-tropical transitioning on storm surge and waves in catastrophe risk modelling: application to the Japanese coastline

Author

Listed:
  • Nicolas Bruneau

    (Risk Management Solutions Ltd
    Imperial College London)

  • Juergen Grieser

    (Risk Management Solutions Ltd)

  • Thomas Loridan

    (Risk Management Solutions Ltd
    Macquarie University)

  • Enrica Bellone

    (Risk Management Solutions Ltd)

  • Shree Khare

    (Risk Management Solutions Ltd)

Abstract

Catastrophe risk models are used to assess and manage the economic and societal impacts of natural perils such as tropical cyclones. Large ensembles of event simulations are required to generate useful model output. For example, to estimate the risk due to wind-driven storm surge and waves in tropical cyclone risk models, computationally efficient parametric representations of the wind forcing are required to enable the generation of large ensembles. This paper presents new results on the impact of including explicit representations of extra-tropical transitioning in parametric wind models used to force storm surge and wave simulations in a catastrophe risk modelling context. Extra-tropical transitioning is particularly important in modelling risk on the Japanese coastline, as roughly 40 % of typhoons hitting the Japanese mainland are transitioning before landfall. Using both a historical and idealized track set, we compare maximum storm surge and wave footprints along the Japanese coastline for models that include, and do not include, explicit representations of extra-tropical transitioning. We find that the inclusion of extra-tropical transitioning leads to lower storm surge (10–20 %) and waves (5–15 %) on the southern Japanese coast, with significantly higher storm surge and waves along the northern coast (25–50 %). The results of this paper demonstrate that useful risk assessment of coastal flood risk in Japan must consider the extra-tropical transitioning process.

Suggested Citation

  • Nicolas Bruneau & Juergen Grieser & Thomas Loridan & Enrica Bellone & Shree Khare, 2017. "The impact of extra-tropical transitioning on storm surge and waves in catastrophe risk modelling: application to the Japanese coastline," 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. 85(2), pages 649-667, January.
  • Handle: RePEc:spr:nathaz:v:85:y:2017:i:2:d:10.1007_s11069-016-2596-2
    DOI: 10.1007/s11069-016-2596-2
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    References listed on IDEAS

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    1. Erdem Karaca & Hesaam Aslani, 2016. "Review of two Japan Typhoon catastrophe models for commercial and industrial properties," 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. 83(1), pages 19-40, August.
    2. Adam Smith & Jessica Matthews, 2015. "Quantifying uncertainty and variable sensitivity within the US billion-dollar weather and climate disaster cost estimates," 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. 77(3), pages 1829-1851, July.
    3. Sang Oh & Il-Ju Moon, 2013. "Typhoon and storm surge intensity changes in a warming climate around the Korean Peninsula," 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. 66(3), pages 1405-1429, April.
    4. Matt Lewis & Kevin Horsburgh & Paul Bates, 2014. "Bay of Bengal cyclone extreme water level estimate uncertainty," 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. 72(2), pages 983-996, June.
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