Expanded coverage, higher resolution, and faster delivery for data-driven organizations worldwide
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The upgraded WeatherData platform aggregates and normalizes forecasts from multiple global and regional models, delivering a unified, analysis-ready dataset through a scalable cloud-native architecture. With higher spatial and temporal resolution, customers can access short- and long-range forecasts, historical comparisons, and probabilistic outlooks in a consistent schema optimized for analytics, AI, and operational systems.

“Organizations increasingly rely on weather as a critical input to their planning and risk models,” said Daniel Brooks, Chief Executive Officer of WeatherData. “This release reflects years of investment in data engineering and forecasting partnerships, giving our customers faster access to richer, more reliable weather intelligence at a global scale.”
New features include real-time data ingestion, automated quality scoring, and flexible delivery options via APIs, cloud object storage, and direct warehouse integrations. The platform is designed to integrate seamlessly with modern data stacks, allowing teams to embed forecast data directly into dashboards, machine learning pipelines, and decision-support tools without additional transformation.
The new WeatherData platform is available immediately to customers worldwide, with migration support for existing users and expanded enterprise service options. With this release, WeatherData continues to strengthen its mission to make high-quality global weather forecast data accessible, actionable, and dependable for data-driven organizations.
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