Stochastic model of tropical cyclones along China coast including the effects of spatial heterogeneity and ocean feedback

Zhonghui Shen and Kai Wei

Reliability Engineering and System Safety, 2021, vol. 216, issue C

Abstract: Historical tropical cyclones (TCs) are usually insufficient in determining extreme hazards due to limited data. This study developed a full-track stochastic model to generate synthetic TCs based on historical TCs and climatology data in Northwest Pacific. A variable geographical sampling approach was proposed to capture the spatial heterogeneity as a function of the density of historical TC data. The track model is derived using the Cartesian coordinate system and considers the statistical characteristics of TC lysis to simulate the TCs better regardless of their heading direction. The effect of ocean feedback was included in the TC intensity model by the one-dimensional ocean model. The track and intensity models were then validated with the statistical characteristics of historical TCs. The TC wind hazards along the China coast were assessed. The main findings include: (1) the developed TC track and intensity model agree well with the historical data; (2) the accuracy of stochastic modeling of TCs is enhanced by including the spatial heterogeneity; (3) considering ocean feedback by one-dimensional ocean model arrives in better modeling of TC intensity. The study provides an efficient tool to generate synthetic TCs for reliability and safety assessment of coastal infrastructures under typhoon-induced multiple hazards.

Keywords: tropical cyclone; stochastic; spatial heterogeneity; ocean feedback; track model; intensity model; wind hazard; China coast (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:216:y:2021:i:c:s095183202100510x

DOI: 10.1016/j.ress.2021.108000

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