Ambee Global Natural Disaster Data – Historical | Present | Climatology

**Overview**

Ambee’s Natural Disaster dataset provides a globally harmonized record of major disaster events. Data is aggregated from authoritative reporting networks, satellite observations, and meteorological models. Each event is geo-tagged, classified by type, assigned a severity score, and mapped to polygons representing the impacting area. The dataset includes more than 30 years of historical archives, present event updates, and climatological summaries.

**Use cases**

- Insurance catastrophe modeling
- Supply chain and business continuity planning
- Infrastructure and asset resilience management
- Humanitarian and disaster response
- Climate risk scenario analysis
- Property management
- Real estate investment trusts
- Manufacturers

**Sample fields**

- event_id: Unique identifier
- event_type: Flood, cyclone, storm, landslide
- event_name: Name of disaster
- severity_score: Intensity of event
- alert_level: Reported severity classification
- polygon_geometry: GeoJSON footprint of impacted area
- details: Additional event information

**Tables included**

- ND_present_data
- ND_historical_data
- ND_climatology

**Benefits to Databricks Marketplace users**

- Instantly available: Query-ready for any Databricks workflow.
- Multi-hazard coverage: Floods, cyclones, storms, and landslides in a consistent spatial and temporal schema.
- Historical depth: 30+ years of disaster records for model training and risk analysis.
- Present updates: Refreshed every 6 hours with new event data.
- Standardized event attributes: Severity, polygons, and impacted areas for seamless integration.
- Analytics-ready: Designed for catastrophe modeling, risk assessments, and planning.