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Performance of Parametric, Physics-based, and Blended Approaches for Hurricane Atmospheric Forcing in Storm Surge, Wave, and Flood Modelling
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DOI：10.1016/j.ocemod.2026.102781.png)
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Abstract
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• Blended atmospheric forcing improves surge-wave prediction. • NAM-based blending outperforms ERA5 and GFS due to finer resolution. • Waves contribute up to 7% of TWL in the NE Gulf of America. • Quality and spatial resolution of far-field model control the blend skill. • Efficiency of the blending approach is event- and region-dependent.
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