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

Model code and software

ncas-metoffice-hrcm/hurricane_loss Alexander J. Baker https://doi.org/10.5281/zenodo.20050811

Download
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.
Share
Altmetrics
Final-revised paper
Preprint