Colorado Researchers Build AI Tools to Forecast Hail

Scientists are using artificial intelligence to improve hail prediction and help residents protect their property.

Updated on Oct. 29, 2026 in Forecasts

A weather radar tripod stands in a vast, grassy field beneath dark, looming storm clouds in the Colorado plains. — Colorado State University researchers are testing new artificial intelligence models designed to enhance hail forecasting accuracy and help mitigate severe storm damage. AI Illustration. Upload story photo >

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Do you believe advanced AI weather alerts significantly improve your ability to protect your home?

Colorado State University researchers are developing two new artificial intelligence models designed to improve hail forecasting accuracy. These tools aim to provide advanced warnings to help residents and business owners mitigate property damage during severe storms.

Why it matters

Predicting hail remains a significant challenge for meteorologists because not every thunderstorm generates damaging ice. Better forecasts will allow the public more time to reach safety and secure assets in vulnerable areas.

The Hail Storm Scope model provides forecasts two hours ahead, while the Machine Learning Probabilities model extends predictions up to eight days. Hail currently accounts for 25% to 55% of all homeowners insurance costs across the state.

The players

Colorado State University

This public research university in Fort Collins is a leader in atmospheric science and meteorological research.

The details

The research team is refining their models with high-resolution weather data to better identify storms capable of producing large hailstones. They intend to use radar and specialized instruments during upcoming field experiments to verify the precision of these new forecasting systems.

Late March marks the typical start of the Colorado hail season.
Early September marks the typical end of the Colorado hail season.
Spring 2027 will feature field experiments to verify model accuracy.
Late 2027 is the target for deploying the improved forecasting tools.

Seasonal Patterns

This project updates the historical hail season timeframe, which climate analysis now suggests is shifting earlier into the spring and later into the fall. These advancements are critical as severe weather activity is projected to increase across the Denver metro area.

Residents should stay alert for future severe weather notifications as these tools become available to help mitigate property damage. Tracking official updates from meteorological services remains the best way to ensure personal safety during the hail season.

The takeaway

Advanced AI forecasting could significantly reduce the financial burden of hail damage for Colorado homeowners. Implementing these tools will eventually provide residents with more reliable lead times to secure vehicles and structures.

What happens next

The research team will conduct field experiments to verify model accuracy in the spring of 2027, followed by the planned deployment of the improved forecasting tools in late 2027.