Study on the applicability of a stochastic typhoon model for probabilistic forecasting of storm surge induced by a typhoon

Yukimasa HigakiDepartment of Civil Engineering, The University of Tokyo, Tokyo, JapanView further author information

Yoshimitsu TajimaDepartment of Civil Engineering, The University of Tokyo, Tokyo, JapanCorrespondence[email protected]

https://orcid.org/0000-0002-1856-4723 View further author information

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Yusuke Yamanaka & Yoshimitsu Tajima. (2022) Numerical investigation on characteristics of long wave components amplified under the 2018 Typhoons Jebi and Trami observed along the coast of Wakayama, Japan. Coastal Engineering Journal 64:1, pages 100-115.
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Yusuke Igarashi & Yoshimitsu Tajima. (2021) Application of recurrent neural network for prediction of the time-varying storm surge. Coastal Engineering Journal 63:1, pages 68-82.
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Sota NAKAJO & Yuji HASAMA. (2022) STUDY ON THE EXTREME STORM SURGE INDUCING TYPHOON EXTRACTION METHOD AND FUTURE STORM SURGE RISK CHANGES IN OSAKA BAY極端高潮を引き起こす台風抽出方法の検討と大阪湾における高潮リスクの将来変化. Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) 78:2, pages I_979-I_984.
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Study on the applicability of a stochastic typhoon model for probabilistic forecasting of storm surge induced by a typhoon

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Study on the applicability of a stochastic typhoon model for probabilistic forecasting of storm surge induced by a typhoon

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