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A new tropical cyclone surge index incorporating the effects of coastal geometry, bathymetry and storm information

Md. Rezuanul Islam, Chia‐Ying Lee, Kyle T. Mandli, Hiroshi Takagi

2021Scientific Reports31 citationsDOIOpen Access PDF

Abstract

This study presents a new storm surge hazard potential index (SSHPI) for estimating tropical cyclone (TC) induced peak surge levels at a coast. The SSHPI incorporates parameters that are often readily available at real-time: intensity in 10-min maximum wind speed, radius of 50-kt wind, translation speed, coastal geometry, and bathymetry information. The inclusion of translation speed and coastal geometry information lead to improvements of the SSHPI to other existing surge indices. A retrospective analysis of SSHPI using data from 1978-2019 in Japan suggests that this index captures historical events reasonably well. In particular, it explains ~ 66% of the observed variance and ~ 74% for those induced by TCs whose landfall intensity was larger than 79-kt. The performance of SSHPI is not sensitive to the type of coastal geometry (open coasts or semi-enclosed bays). Such a prediction methodology can decrease numerical computation requirements, improve public awareness of surge hazards, and may also be useful for communicating surge risk.

Topics & Concepts

Storm surgeBathymetryTropical cycloneSurgeWind speedTropical cyclone forecast modelCyclone (programming language)MeteorologyEnvironmental scienceStormRADIUSClimatologyGeologyGeographyOceanographyComputer scienceComputer hardwareField-programmable gate arrayComputer securityTropical and Extratropical Cyclones ResearchOcean Waves and Remote SensingCoastal and Marine Dynamics
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