Articles | Volume 26, issue 5
https://doi.org/10.5194/nhess-26-2133-2026
https://doi.org/10.5194/nhess-26-2133-2026
Research article
 | 
08 May 2026
Research article |  | 08 May 2026

Combining hazard, exposure and vulnerability data to predict historical United States hurricane losses

Alexander F. Vessey, Alexander J. Baker, Vernie Marcellin-Honore, and James Michelin

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Cited articles

Aon: 2025 Climate and Catastrophe Insight, https://www.aon.com/en/insights/reports/climate-and-catastrophe-report (last access: 18 May 2025), 2025. 
Aznar-Siguan, G. and Bresch, D. N.: CLIMADA v1: a global weather and climate risk assessment platform, Geosci. Model Dev., 12, 3085–3097, https://doi.org/10.5194/gmd-12-3085-2019, 2019. 
Baker, A. J.: ncas-metoffice-hrcm/hurricane_loss, Zenodo [code], https://doi.org/10.5281/zenodo.20050811, 2026. 
Baker, A. J., Vannière, B., and Vidale, P. L.: On the Realism of Tropical Cyclone Intensification in Global Storm-Resolving Climate Models, Geophys. Res. Lett., 51, e2024GL109841, https://doi.org/10.1029/2024GL109841, 2024. 
Balaguru, K., Chang, C.-C., Leung, L. R., Ullrich, P. A., Han, Y., Rice, J. R., Hagos, S., Chavas, D., Taraphdar, S., Harrop, B., Sun, N., and Judi, D. R.: Recent Tropical Cyclone Outer Size Increases in the Western North Atlantic, Earth's Future, 14, e2025EF007162, https://doi.org/10.1029/2025EF007162, 2026. 
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Short summary
Hurricanes are a destructive natural hazard. Historically, however, their Saffir–Simpson categories and losses are not well correlated. We combined hazard, exposure, and vulnerability data to predict losses from landfalling hurricanes for the United States. Our model significantly reduces errors between predicted and observed losses and is more skilful than hazard-only predictions. Additionally, we developed a novel loss-based hurricane classification scheme to aid risk management.
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