← Historical Event Intelligence
Download Real-World Catastrophe Event Data — See What Others Miss
Evaluate DisasterAWARE's enhanced historical event intelligence with real event footprints, severity, and time evolution. Used by insurers, reinsurers, and risk platforms to analyze real-world event impact.
Each sample dataset includes
- ✓Event-level records — not aggregated scores
- ✓Spatial footprints (paths, polygons, or grids)
- ✓Severity and intensity metrics
- ✓Time-based progression (start → peak → end)
- ✓Ready-to-use formats (GeoParquet, CSV, GeoJSON)
Built for immediate use in
- 🗺️GIS tools (ArcGIS, QGIS)
- 🐍Python / DuckDB / Snowflake
- ⚙️Internal analytics pipelines
Unlike most datasets, this is not modeled risk or aggregated scores — this is real event history with spatial and temporal truth.
Tornado Intelligence — Kansas, 2024
~40–60 tornado events • 20+ attributes • GeoParquet • ~50–150 MB
What's included
- ✓Tornado paths (polygon / track geometry)
- ✓Touchdown locations and timestamps
- ✓Damage indicators and severity classification
- ✓Associated severe weather context (where available)
See exactly where damage occurred — and how it moved across real-world exposure.
Additional Sample Datasets
Request access using the form — we'll send a download link within 1 business day.
Hail Intelligence
Texas • 1 month • 2025
- ●Hail swaths and spatial extent
- ●Size and intensity indicators (MESH where available)
- ●Event timing and progression
- ●Correlated severe storm activity
Identify where damaging hail actually occurred — not where models suggest it did.
Hurricane / Tropical Cyclone Intelligence
Florida • 3 months • 2020 (full storm lifecycle)
- ●Storm track and progression
- ●Wind radii and intensity fields
- ●Landfall timing and movement
- ●Event footprint across affected regions
Analyze full storm impact across your portfolio — wind field exposure, not just track lines.
Earthquake Intelligence
Chile • 1 month • 2015
- ●Event location and magnitude
- ●Ground motion intensity (PGA grids)
- ●Spatial distribution of shaking
- ●Temporal sequence of seismic activity
Understand how ground shaking varied across locations — not just where the epicenter was.
These samples mirror production datasets
Used today by insurance and reinsurance underwriters, risk intelligence platforms, climate and catastrophe modeling teams, and infrastructure, energy, and supply chain operators.
Most teams rely on modeled risk or incomplete historical records.
These datasets show what actually happened — where, when, and how severe.