Spire Global, Inc. (SPIR) has launched AI-WX and AI-S2S, two breakthrough AI-driven weather models built on NVIDIA Omniverse Blueprint for Earth-2. These new models, powered by Spire’s proprietary satellite data, provide medium-range forecasts up to 20 days and sub-seasonal predictions extending to 45 days.
By leveraging NVIDIA GPUs, these AI-driven models run 1,000 times faster than traditional physics-based forecasting methods, allowing for large ensemble simulations that predict a broader range of weather outcomes. Industries including energy, utilities, and commodities trading are already using these advanced forecasts to manage risk and optimize operations.
Spire’s AI models integrate atmospheric profiles, soil moisture levels, and ocean surface winds from its extensive satellite network. Unlike traditional deterministic models, which produce a single forecast outcome, these AI models generate probabilistic forecasts—offering a more dynamic approach to predicting extreme weather events.
Early adopters, including Freepoint Commodities and Dominion Energy, are utilizing Spire’s AI-powered insights to anticipate weather-driven market fluctuations and strengthen operational resilience in the face of climate volatility.
With extreme weather becoming more frequent and severe, the demand for faster, more accurate weather forecasting is growing. Spire’s collaboration with NVIDIA represents a technological advance in weather intelligence, offering industries the ability to prepare for disruptions with unprecedented precision.
Jeff Mock, lead meteorologist at Dominion Energy stated: “With Spire’s cutting-edge advancements in AI weather modeling, we can anticipate weather impacts further in advance, enabling more precise and strategic risk management for both immediate and long-term weather patterns.”
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