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Spire Global Expands Energy Trading Intelligence with Intraday-to-45-Day Weather Forecasts and Trader-Grade Decision Platform

VIENNA, Va., May 21, 2026--Spire Global, Inc. (NYSE: SPIR) ("Spire" or "the Company"), a global provider of satellite data, analytics and intelligence, today announced an expanded energy trading intelligence offering comprising a full forecast stack — from intraday wind ramps to 45-day sub-seasonal regime shifts — delivered through Cirrus, Spire's trader-grade decision platform.

articleSpire Global, Inc.May 21, 20265/news/spire-global-expands-energy-trading-intelligence-with-intraday-to-45-day-weather-forecasts-and-trader-grade-decision-platform
Spire Global Expands Energy Trading Intelligence with Intraday-to-45-Day Weather Forecasts and Trader-Grade Decision Platform

About this update from Spire Global, Inc.

New capabilities deliver validated outperformance of European Centre for Medium-Range Weather Forecasts (ECMWF) sub-seasonal-range (S2S) forecasts by 14.2% at 3–6 weeks, enabling energy trading desks to price risk and identify market-moving weather events ahead of public models* VIENNA, Va., May 21, 2026--(BUSINESS WIRE)--Spire Global, Inc. (NYSE: SPIR) ("Spire" or "the Company"), a global provider of satellite data, analytics and intelligence, today announced an expanded energy trading intelligence offering comprising a full forecast stack — from intraday wind ramps to 45-day sub-seasonal regime shifts — delivered through Cirrus, Spire's trader-grade decision platform. This expansion comes as energy trading desks face increasing exposure to weather-driven volatility amid growing renewable penetration and tightening forward market conditions. As renewable generation expands across North American and European power markets, weather volatility has become an increasingly primary driver of market risk. Missed wind ramps, late-flagged cold outbreaks, and undetected weather regime changes each carry direct P&L consequences. Most trading desks rely on the same public models, limiting differentiation and eroding edge. Traditional models lose accuracy at the 3–6-week range, precisely when forward positions, gas-demand pricing, and hedging decisions are made. Spire's expanded forecast stack addresses the full trading horizon, giving energy trading desks a proprietary edge built on satellite-derived data that provides an independent signal alongside public forecast models: "Weather is now the single biggest unpriced variable in energy markets — and the traders who forecast it better win," said Shawn Mechelke, General Manager, Weather, Climate and Aviation at Spire. "Spire AI-S2S gives desks a validated, independent signal at the extended range, when public models lose reliability and the value of being right is highest. Paired with Cirrus and our full intraday-to-sub-seasonal stack, Spire is giving trading desks what they've never had: the infrastructure to systematically monetize weather volatility." "Energy markets need better weather forecasts across every decision horizon, from intraday ramps to sub-seasonal regime shifts," said Tom Gowan, Ph.D., Director of Weather Prediction and AI at Spire. &qu...

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