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Projection of climate change impact on tropical cyclone hazard in Western North Pacific basin

  • Dengguo Wu
  • , Xiaoye Yu*
  • , Yu Chen
  • , Kin Sik Liu
  • , Zhongdong Duan
  • , Ahsan Kareem
  • *Corresponding author for this work
  • Arup Group
  • Fujian Agriculture and Forestry University
  • School of Intelligent Civil and Ocean Engineering, Harbin Institute of Technology Shenzhen
  • University of Notre Dame

Research output: Contribution to journalArticlepeer-review

Abstract

The uncertainty of climate change effect on the tropical cyclone (TC) frequency and intensity has big impact on TC hazard assessment. In this study, a statistical dynamics synthetic TC model is used to generate TCs in the Western North Pacific (WNP) basin. Accordingly, three approaches are proposed to study the climate change impact on TC induced extreme wind speeds, using marine and atmospheric parameters from global circulation models (GCMs). The study covers three timespans, historical (1981-2010), mid-century (2041-2070), and late-century (2071-2100) and focuses on the Shared Socioeconomic Pathway 585 (SSP585) scenarios. For the genesis model: Approach #1 uses the TC detection method to extract the TC genesis properties from GCMs; Approach #2 uses the statistical TC genesis index to evaluate the TC genesis information; and Approach #3 calculates the relative genesis change between timespans under GCMs and then uses it to scale the observed datasets. For the intensity model, Approaches #1 and #2 use the marine and atmospheric parameters from GCMs directly, while Approach #3 replaces the GCM future datasets by adding the relative change to the reanalysis datasets. A 50-year wind speed ratio between current and future scenarios is used to assess the impact on TC hazard. All approaches indicate that the climate impact on TC risk varies over the WNP basin, with coastal cities in high latitude more likely to experience increased extreme TC wind speeds than those at low latitude. Approaches #1 and #2 give close relative extreme wind speed change, compared to further larger increase by Approach #3.

Original languageEnglish
Article number047139
JournalPhysics of Fluids
Volume37
Issue number4
DOIs
StatePublished - 1 Apr 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

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