← 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 (NDJSON, CSV)
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
8 events • Apr–May 2024 • NDJSON + CSV bundle
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.
⬇Download Sample (No Signup Required)Additional Sample Datasets
Request access using the form — we'll send a download link within 1 business day.
Hail Intelligence
Texas • May 2025 • 8 events
- ●3.0"–5.0" hail across 5 storm days
- ●222 measured/estimated hail reports
- ●263 MRMS MESH radar swath polygons
- ●Severe thunderstorm warnings with hail tags
Identify where damaging hail actually occurred — not where models suggest it did.
Tropical Cyclone Intelligence
Florida • 2020 season • 5 storms
- ●Fay, Isaias, Marco, Sally, and Eta
- ●323 lifecycle track points
- ●Wind, pressure, and status at 6-hour intervals
- ●Complete IBTrACS lifecycles per storm
Analyze full storm impact across your portfolio — full lifecycle tracks, not just landfall points.
Earthquake Intelligence
Illapel, Chile • September 2015 • 8 events
- ●M8.3 Illapel mainshock + 7 aftershocks
- ●USGS ShakeMap-derived assessment per event
- ●43 PGA contour polygons
- ●Peak MMI and depth per event
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.