Short-term prediction of storm surges in estuarine and coastal waters via a multipoint deep learning neural network with limited training samples
Accurate estimation of extreme sea levels caused by storm surges is critical for coastal engineering, particularly during typhoon seasons. Data-driven approaches have emerged as efficient tools for storm surge prediction. This study presents the development of deep learning neural network models to...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2536074 |
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