Powerful geospatial weather intelligence with full GIS integration for mapping, analysis, and decision support — native to ArcGIS, QGIS, and custom geospatial workflows.
Add weather data layers directly to your GIS workflows via WMS/WCS endpoints or import native formats — NetCDF, Shapefile, GeoJSON, and more.
Every tool a GIS analyst or spatial data scientist needs — from standard OGC web services to custom geoprocessing automation.
WMS and WCS endpoints for seamless integration with ArcGIS Server, QGIS, PostGIS, and custom geospatial applications.
Native NetCDF, GeoTIFF, and HDF5 gridded datasets for 50+ years of historical weather — ready for climate analysis and modeling workflows.
Shapefile, GeoJSON, and GeoPackage exports for storm polygons, observation points, and analysis zones — with full attribute tables.
Point-in-polygon, radius buffers, and polygon geometry queries — retrieve weather for any geospatial feature or custom boundary.
Extract time-series data for any location — perfect for climate trend analysis, irrigation scheduling, and historical validation.
Build repeatable workflows with Model Builder, Python scripts, or R — automate weather-triggered alerts and analysis pipelines.
From emergency operations to climate research — spatial weather analysis powers critical decisions in every industry.
Situational awareness dashboards overlaying storm tracks, flood zones, and asset locations for rapid incident response.
Combine weather grids with field boundaries for irrigation scheduling, frost risk modeling, and crop stress monitoring.
Wind and solar resource assessment, demand forecasting overlaid on grid infrastructure for capacity planning.
Heat island mapping, flood risk zoning, and green space optimization using high-resolution weather analysis.
CAT model inputs, climate scenario analysis, and historical loss attribution by geography and peril.
Track climate trends, analyze historical weather impacts on ecosystems, and model future scenarios by region.
Export weather data in 15+ formats — from traditional GIS Shapefiles to modern cloud-optimized GeoTIFFs and NetCDF scientific arrays.
Native ArcGIS integration via REST endpoints and Web Adaptor support.
arcpy, rasterio, xarray integration for programmatic data access.
Scheduled tasks, triggered processing, and automated exports to cloud storage.
Whether you use ArcGIS, QGIS, or custom Python scripts — integrating CustomWeather GIS data is straightforward, fast, and production-grade.