Spatiotemporal Deep Learning to Forecast Storm Surge Water Levels and Storm Trajectory: Case Study Hurricane Harvey
Using Hurricane Harvey as a case study, this paper uses the hurricane track, wind velocity and pressure, bathymetry, Manning’s n coefficients, tidal forcing, and storm surge results generated by the ADCIRC+SWAN model as input to construct a uniform spatiotemporal deep learning model for storm surge...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2025-09-01
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| Serier: | Journal of Marine Science and Engineering |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2077-1312/13/9/1780 |
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