This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1038/s41598-021-95825-7. This is version 1 of this Preprint.
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Abstract
This study presents a new storm surge hazard potential index (SSHPI) for estimating tropical cyclone (TC) induced maximum surge levels at a coast. The SSHPI incorporates parameters that are often readily available at real-time: intensity in 10-minute 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.
DOI
https://doi.org/10.31223/X53C85
Subjects
Earth Sciences, Oceanography and Atmospheric Sciences and Meteorology, Risk Analysis
Keywords
Storm surge, Risk Communication
Dates
Published: 2021-06-14 09:46
License
CC BY Attribution 4.0 International
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Conflict of interest statement:
None
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