University of Utah Develops AI-Enhanced Wildfire Smoke Forecasting Tool
The University of Utah Wilkes Center for Climate Science & Policy has introduced a new demonstration tool that delivers advanced warnings for unhealthy air conditions caused by wildfire smoke. This physics-based model integrates machine learning and predictive analytics to forecast air quality, reflecting the work of Trace Air Quality (Trace AQ), a startup aiming to address rising wildfire smoke and pollution risks.
How the Tool Works
The smoke forecast map uses the Community Multiscale Air Quality (CMAQ) modeling system, an open-source platform from the EPA. This system simulates fire activity and tracks the movement of wildfire smoke particulate matter across different scales. The free version of the tool offers forecasts up to one day ahead, while Trace AQ’s subscription model extends forecasting up to four days, accessible at TraceAQ.com.
Research-Driven Development
Nearly a decade of research at the University of Utah informs this forecasting model. Taylor (Kai) Wilmot, postdoctoral research associate and CTO at Trace AQ, highlights that the forecast incorporates insights on wildfire plume rise, emissions, fire-atmosphere interactions, smoke transport, and atmospheric chemistry. Ongoing development aims to expand these capabilities further.
Collaboration and Support
The project is backed by the Wilkes Center, the National Science Foundation CIVIC Innovation Program, and the university’s Center for High Performance Computing. Key contributors include researchers Derek Mallia and Kai Wilmot from Atmospheric Sciences, and Heather Holmes from Chemical Engineering. They partnered with Victor Gill, a tech executive with experience in bringing digital innovations to market, to support commercialization efforts.
Victor Gill, Trace AQ CEO, emphasizes the practical benefits of the tool for communities. It enables proactive responses to air quality challenges, such as guiding schools on indoor recess decisions, adjusting athletic training schedules, and protecting outdoor workers.
Funding and Commercialization
Trace AQ launched with $1.25 million in seed funding led by Rusheen Capital Management, with participation from Thin Line Capital and entrepreneur Curt Doman. The University of Utah’s Technology Licensing Office facilitated the spin-out and licensing process to bring this technology to market.
Access and Future Use
The Wildfire Smoke Forecast Tool is publicly accessible on the Wilkes Center’s website and at their facilities. For organizations requiring more comprehensive forecasting services, Trace AQ provides enterprise-grade solutions tailored to schools, athletic event organizers, businesses, healthcare providers, and sensitive populations.
Explore the tool and learn more about Trace AQ’s offerings at their website. This initiative highlights how university research can translate into practical tools that improve public health and safety amid increasing wildfire challenges.
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