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Original Research Paper

Numerical investigation on characteristics of long wave components amplified under the 2018 Typhoons Jebi and Trami observed along the coast of Wakayama, Japan

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Pages 100-115 | Received 13 Jun 2021, Accepted 22 Oct 2021, Published online: 28 Nov 2021
 

ABSTRACT

The tide gauge data at Shirahama in Tanabe Bay on the Wakayama coast during Typhoons Jebi and Trami in 2018 showed two dominant oscillation components with periods of approximately 40–45 min and 7 min. We investigated the characteristics of the unique resonances using wavelet analysis and numerical simulations. Through the numerical simulation of storm surges by Jebi and Trami and the modeling of Trami with different tracks, we found that oscillations having a period of 40–45 min were primarily induced by the resonance in large areas, including Tanabe Bay and Kii Strait, which is north of the bay. The amplification of this large-scale resonance was sensitive to the forward speed and angle of the typhoon tracks. In addition, Green’s functions were developed to investigate local resonant characteristics in Tanabe Bay. The spatial distributions of the amplitude and phase difference of Green’s functions at different locations showed that the observed 7-min oscillations were amplified by the resonance of two adjacent small inlets at the Shirahama tide gauge station. The resonance between these two local inlets produced a long-lasting ~7-min oscillation observed at the tide gauge.

Acknowledgments

We thank the editor, Prof. Andrew B. Kennedy, and the two anonymous reviewers. Their comments were critical in improving our manuscript. Part of this study was conducted as a research activity of “Enhancement of National Resilience against Natural Disasters,” a cross-ministerial Strategic Innovation Promotion Program, under the supervision of the National Research Institute for Earth Science and Disaster Resilience. The program was supported by the Council for Science, Technology, and Innovation. We used JMA’s tide gauge data provided by Japan Weather Association. All figures presented in this paper were printed using the Generic Mapping Tools software of Wessel et al. (Citation2013).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the cross-ministerial strategic innovation promotion program.

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