Ocean Science
Ocean Science
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Articles | Volume 21, issue 4
Articles | Volume 21, issue 4
https://doi.org/10.5194/os-21-1761-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-21-1761-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 4
Research article
 | 
21 Aug 2025
Research article |  | 21 Aug 2025

Assessing subseasonal forecast skill for use in predicting US coastal inundation risk

John R. Albers, Matthew Newman, Magdalena A. Balmaseda, William Sweet, Yan Wang, and Tongtong Xu

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Short summary

Providing early warning of coastal flooding is an emerging priority for the National Oceanic and Atmospheric Administration. We assess whether current operational forecast models can provide the basis for predicting the risks of higher-than-normal coastal sea level values up to 6 weeks in advance. For many United States coastal locations, models have sufficient prediction skill to be used as the basis for the development of a high tide flooding prediction system on subseasonal timescales.

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