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Coastal Engineering Journal Volume 64, 2022 - Issue 1: SPECIAL ISSUE ON COASTAL HAZARDS AND RISKS DUE TO TROPICAL CYCLONES
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Original Research Paper

Uncertainty of storm surge forecast using integrated atmospheric and storm surge model: a case study on Typhoon Haishen 2020

Masaya Toyodaa Disaster Prevention Research Institute, Kyoto University, Kyoto, JapanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-7124-100XView further author information
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Nobuki Fukuib Graduate School of Engineering, Kyoto University, Kyoto, JapanView further author information
,
Takuya Miyashitaa Disaster Prevention Research Institute, Kyoto University, Kyoto, JapanView further author information
,
Tomoya Shimuraa Disaster Prevention Research Institute, Kyoto University, Kyoto, JapanView further author information
&
Nobuhito Moria Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan;c Swansea University, Bay Campus, Swansea, UKORCID Iconhttps://orcid.org/0000-0001-9082-3235View further author information
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Pages 135-150 | Received 07 Jun 2021, Accepted 22 Oct 2021, Published online: 15 Nov 2021

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Read on this site (1)

Sotaro Mori, Tomoya Shimura, Takuya Miyashita, Adrean Webb & Nobuhito Mori. (2022) Future changes in extreme storm surge based on a maximum potential storm surge model for East Asia. Coastal Engineering Journal 64:4, pages 630-647.
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Articles from other publishers (1)

Tiantian Wang, Tiezhong Liu & Yunmeng Lu. (2022) A hybrid multi-step storm surge forecasting model using multiple feature selection, deep learning neural network and transfer learning. Soft Computing 27:2, pages 935-952.
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