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

Key Terms

ecmwf technical

The European Centre for Medium-Range Weather Forecasts (ECMWF) is an international agency that produces detailed, science-based weather forecasts and atmospheric data for the coming days to a couple of weeks. Investors use its models as a trusted guide to anticipate weather-driven impacts on crops, energy demand, shipping and insurance — much like a navigation system that helps markets predict where supply, demand and risk are likely to shift.

sub-seasonal-range (s2s) technical

Sub-seasonal-range (S2S) refers to the weather and climate outlook window that spans roughly two weeks to two months, sitting between short-term weather forecasts and long-term seasonal forecasts. For investors, S2S information helps anticipate shifts in crop yields, energy demand, shipping conditions and commodity prices—think of it as a medium-term weather roadmap that can inform supply, demand and timing decisions in markets sensitive to climate and weather swings.

gnss radio occultation technical

GNSS radio occultation is a way of measuring the atmosphere by watching how navigation satellite signals (like GPS) bend and delay as they pass through air layers near the horizon. Think of it as reading the atmosphere’s fingerprint from how a beam of light smears when passing through a glass of water. Investors care because these precise, global weather and climate profiles improve forecasts, helping companies manage risks and plan operations in aviation, agriculture, insurance, and satellite services.

era5 technical

A global climate dataset that reconstructs past hourly weather conditions—such as temperature, rainfall, wind and humidity—by combining historical observations with weather models to produce consistent, location-by-location records. Investors use it as a common baseline to quantify physical climate risks to assets, insurance exposures and supply chains; think of it as a detailed weather history that helps estimate how often and how severely properties or operations may be affected by climate hazards.

500 mb height technical

500 mb height is the altitude, usually reported in meters, where atmospheric pressure equals 500 millibars—about the middle of the lower atmosphere—and serves as a standard map of large-scale weather patterns. Investors pay attention because shifts in that mid‑level pattern steer storms, cold snaps and heat waves, which can quickly affect crop yields, energy demand, transport and supply chains; think of it like a traffic map predicting where weather will disrupt economic activity.

probabilistic forecasts technical

Probabilistic forecasts are predictions that express future outcomes as a range of chances rather than a single number, for example saying there is a 70% chance a stock will rise and 30% chance it will fall. They matter to investors because they show uncertainty explicitly, helping people weigh risks, size positions, set prices, and plan hedges—like a weather forecast that gives the likelihood of rain so you can decide whether to carry an umbrella.

climatology technical

Climatology is the study of long-term weather patterns and average conditions—temperature, rainfall, winds and extreme events—over years to centuries, rather than day-to-day forecasts. For investors it provides a picture of shifting risks and opportunities (think of it as knowing the long-term character of a neighborhood), helping assess future impacts on crops, supply chains, property values, insurance costs and regulatory pressure tied to climate trends.

ensemble technical

An ensemble is a combined set of independent models or forecasts whose outputs are pooled to produce a single, more reliable prediction or decision. For investors, ensembles matter because they reduce the chance that a single flawed forecast steers strategy—think of several analysts voting on a stock instead of relying on one voice—so investment signals, risk estimates or drug-safety projections tend to be more robust and less sensitive to any one model’s mistakes.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

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.--(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:

• 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 real-time decisions. Each curve overlays Spire's High-Resolution Forecast against benchmark models and full ensemble spread, so traders can quickly identify where Spire diverges from consensus, gauge forecast uncertainty, and time their positions accordingly. Coverage spans key European markets and all major US energy markets.
• Spire AI-S2S (1–45 days): Spire's proprietary sub-seasonal model, a 200-member generative AI ensemble, is trained on satellite-derived GNSS radio occultation data and historical atmospheric datasets, operating independently of public sub-seasonal forecast systems. It delivers daily probabilistic forecasts with quantified uncertainty, anomalies relative to climatology, and weather-regime analysis tuned for North American and European energy markets. Validated against ECMWF's ReAnalysis 5th Generation (ERA5), a global climate and weather dataset, AI-S2S outperformed ECMWF's sub-seasonal-range forecast ensemble by 14.2% on surface temperatures at 3–6 weeks, a key variable for forecasting energy demand and pricing risk. Spire’s AI-S2S also delivered more accurate 500 mb height forecasts, a critical upper-atmospheric field widely used by energy traders to anticipate future weather regimes, pattern shifts, and market-moving risk. These advancements provide an independent signal alongside traditional public forecasts, enabling earlier detection of large-scale weather shifts at the hardest range to forecast accurately.

"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. "At short ranges, our high-resolution models capture the fine-scale weather details, localized wind ramps and power-market impacts traders need to act on. At the extended range, Spire AI-S2S represents a major technical breakthrough: delivering improved forecast skill over the world's leading public models in the weeks 3–6 timeframe, where forecast skill is hardest to achieve, through proprietary AI techniques and well-calibrated probabilistic outputs that provide a truly independent signal. We believe this is only the beginning of what AI, proprietary satellite data, and Spire's deep weather expertise can bring to energy markets."

Cirrus consolidates the full forecast stack alongside public benchmark models in a single interface — a trader-grade decision environment designed to surface anomalies, compare model runs, and pressure-test positions before markets move. For desks operating within existing infrastructure, all products are also available via API with no platform rebuild required.

Learn more about Spire’s intraday-to-45-day forecast stack, purpose-built for energy trading desks.

About Spire Global, Inc.

Spire (NYSE: SPIR) is a global provider of space-based data, analytics and space services, offering unique datasets and powerful insights about Earth so that organizations can make decisions with confidence in a rapidly changing world. Spire builds, owns, and operates a fully deployed satellite constellation that observes the Earth in real time using radio frequency technology. The data acquired by Spire’s satellites provides global weather intelligence, ship and plane movements, and spoofing and jamming detection to better predict how their patterns impact economies, global security, business operations and the environment. Spire also offers Space as a Service solutions that empower customers to leverage its established infrastructure to put their business in space. Spire has offices across the U.S., Canada, UK, Luxembourg and Germany. To learn more, visit spire.com.

*Spire conducted independent validation of data from its AI-S2S model, outside of the training and fine-tuning period, against ECMWF forecast data from January 1-February 15, 2026. The ECMWF data used in this validation is published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. These results are based on data and products of the European Centre for Medium-Range Weather Forecasts (ECMWF) – ©2026 European Centre for Medium-Range Weather Forecasts (ECMWF). Source ecmwf.int.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260521564677/en/

For Media:
Sarah Freeman
Senior Communications Manager
Sarah.Freeman@spire.com

For Investors:
Benjamin Hackman
Head of Investor Relations
Benjamin.Hackman@spire.com

Source: Spire Global, Inc.