US-CoastEX: Probabilistic reanalysis of storm surge and sea level extremes for the United States
Observation-driven probabilistic dataset of storm surge and sea level extremes for the U.S. coast (1950-2020) using Bayesian methods, revealing traditional 100-year estimates were ~50% too low.
doi.org
At a glance
- Region
- North America
- Coverage
- North America
- Access
- Free
- Category
- Research
- Last updated
- 2025
What's inside
- Flood Data
What you can do with it
Typical work that data of this type supports.
- 01
Hazard maps
Map flood-prone areas and who and what is exposed.
Because it has: Flood Data
- 02
Model validation
Check flood models against observed events.
- 03
Risk screening
Screen projects and assets for climate risk.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Flood extent from SAR
Segment flooded areas in radar imagery, even through cloud.
- 02
Depth estimates
Learn flood depth from terrain, rainfall and past events.
- 03
Bias correction
Correct and downscale climate model output for a site.
Machine access and documentation
Data paper
US-CoastEX: Probabilistic reanalysis of storm surge and sea level extremes for the United States
Scientific Data 2025
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