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

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Spire Global Expands Energy Trading Intelligence with Intraday-to-45-Day Weather Forecasts and Trader-Grade Decision Platform .bwalignc { text-align: center; list-style-position: inside } .bwlistdisc { list-style-type: disc } 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* 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: High-Resolution Forecast (0–7 days) : Twice-daily 3 km forecasts across the U.S., Europe, and Southeast Asia, resolving intraday wind ramps and localized weather variability. Optimized Point Forecasts (0-15 days): Asset-level, hourly-refreshed weather forecasts with 15-minute granularity across 10,500+ sites globally, calibrated to local site conditions. Power Generation Forecasts (0–15 days ): Translates space-based weather data and AI-driven model output into hour-by-hour wind and solar generation curves in a format energy traders use to make r...

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