This dataset delivers GIS-native weather and climate intelligence designed for impact analysis and operational decision making. It combines raster and vector layers representing weather event footprints, asset-specific short-term forecasts, historical storm records, and derived risk metrics such as freeze and wind exposure. Deliverables are machine-learning ready and provided in standard geospatial formats for immediate ingestion and visualization. The collection also includes model outputs and performance summaries used in domain-specific products, demonstrating real-world use cases for infrastructure resilience and insurance loss modeling. Spatial coverage is global and supports mapping, proximity analysis, site selection, and regional market or vulnerability assessments.

Key attributes include:

• GIS-native raster and vector weather layers for mapping and spatial queries

• Impact-based forecasts and asset-level risk indicators for infrastructure

• Historical event archives and derived storm or freeze benchmarks

• ML-ready exports and model performance summaries for analytics workflows

• Procurement metadata and technical credentials supporting enterprise and government use

Value Summary:
Analysts, insurers, engineers, and procurement teams benefit from turnkey geospatial weather intelligence that speeds risk assessment, supports asset protection decisions, and integrates into ML and operational workflows.