Spire Global, Inc. announced the launch of two advanced AI weather models: AI-WX and AI-S2S. Developed on NVIDIA Omniverse Blueprint for Earth-2, these models leverage Spire?s proprietary satellite data to deliver both medium-range and sub-seasonal forecasts, offering unparalleled forecasting capabilities to industries such as energy, utilities and commodities. AI-WX and AI-S2S offer comprehensive weather forecasting capabilities, with AI-WX providing up to 20-day forecasts and AI-S2S extending up to 45 days. Built on Spire?s proprietary data assimilation techniques, these models integrate data from Spire?s extensive satellite network, including atmospheric profiles, soil moisture readings, and ocean surface winds. Differing from traditional deterministic models, the models provide probabilistic forecasts, offering a range of possible weather outcomes rather than a single prediction. Customers including Freepoint Commodities and Dominion Energy are using these new products to navigate market complexities with enhanced precision and to evaluate potential risks and likelihood of extreme weather events. As climate variability intensifies, leading to more frequent and severe weather events, the demand for more advanced and accurate forecasting capabilities is increasing. Industries such as energy and commodities are particularly vulnerable to the impacts of unexpected weather changes, which can disrupt operations and inflate costs dramatically. Spire?s new AI models provide detailed insights that enable companies to anticipate and effectively respond to weather disruptions. Spire Global, Inc. announced the launch of two advanced AI weather models: AI-WX and AI-S2S. Developed on NVIDIA Omniverse Blueprint for Earth-2, these models leverage Spire?s proprietary satellite data to deliver both medium-range and sub-seasonal forecasts, offering unparalleled forecasting capabilities to industries such as energy, utilities and commodities. AI-WX and AI-S2S offer comprehensive weather forecasting capabilities, with AI-WX providing up to 20-day forecasts and AI-S2S extending up to 45 days. Built on Spire?s proprietary data assimilation techniques, these models integrate data from Spire?s extensive satellite network, including atmospheric profiles, soil moisture readings, and ocean surface winds. Differing from traditional deterministic models, the models provide probabilistic forecasts, offering a range of possible weather outcomes rather than a single prediction. Customers including Freepoint Commodities and Dominion Energy are using these new products to navigate market complexities with enhanced precision and to evaluate potential risks and likelihood of extreme weather events. As climate variability intensifies, leading to more frequent and severe weather events, the demand for more advanced and accurate forecasting capabilities is increasing. Industries such as energy and commodities are particularly vulnerable to the impacts of unexpected weather changes, which can disrupt operations and inflate costs dramatically. Spire?s new AI models provide detailed insights that enable companies to anticipate and effectively respond to weather disruptions.
Spire is a Virginia-based cloud platform that offers solutions such as vessel tracking, predictive analytics, and documentation for sectors including aviation and maritime.