Saturday, August 16, 2025

University Scientists Create AI Tool to Predict Wildfire Smoke Impact – @theU

The University of Utah’s Wilkes Center for Climate Science & Policy has unveiled a revolutionary tool aimed at providing advanced warnings for unhealthy air events caused by wildfire smoke. This innovative forecasting tool employs machine learning and predictive analytics, enhancing air quality predictions developed by Trace Air Quality (Trace AQ). Utilizing the EPA’s Community Multiscale Air Quality modeling system, the tool simulates wildfire activity and smoke dispersion. The free version offers forecasts for up to one day, while the subscription model extends predictions to four days via TraceAQ.com. Developed over nearly a decade of research, this tool enables proactive measures for schools, athletic organizations, and businesses to safeguard public health. Supported by significant funding and partnerships, it exemplifies the Wilkes Center’s commitment to delivering cutting-edge climate science to enhance community well-being. Explore the Wildfire Smoke Forecast Tool and learn more about Trace AQ’s advanced air quality forecasting systems today.

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