QUIC-Fire: A Fast 3D Fire-Atmosphere Feedback Model for Complex Wildland Fire Management
Established in 1963, the R&D 100 Awards is the only S&T (science and technology) awards competition that recognizes new commercial products, technologies, and materials for their technological significance that are available for sale or license. The R&D 100 Awards, celebrating the program's 60th Anniversary this year, has long been a benchmark of excellence for industry sectors as diverse as telecommunications, high-energy physics, software, manufacturing, and biotechnology. This 2022 R&D 100 winner is listed below, along with its respective category.
Category: IT/Electrical
Developers: Los Alamos National Laboratory
Co-Developers: U.S. Department of Agriculture Forest Service Tall Timbers Research Station
United States
Product Description:QUIC-Fire is the first laptop-capable, real-time speed wildland fire prediction software to explicitly model a fire’s two-way interaction with the atmosphere and 3D heterogeneous vegetation — the very factors that drive fire and are essential to simulating complex site-specific wildfire and prescribed fire scenarios. QUIC-Fire transforms a fire practitioner’s ability to assess risk, optimize fuel treatments, and plan prescribed burns. With QUIC-Fire, practitioners can quickly model how a fire will spread in situations previously impossible for fast-running tools. QUIC-Fire captures the critical influences of 3D vegetation structure, interactions between multiple fires, variable winds, and complex topography at meter-scale resolutions. Such capabilities typically require a supercomputer, yet QUIC-Fire runs on a laptop orders of magnitude faster than supercomputer models. QUIC-Fire can also serve as a prescribed fire “flight simulator” to train fire practitioners. As the first fast-running tool with these capabilities, QUIC-Fire will revolutionize the assessment of wildfire risks and behavior, bolster safe expansion of prescribed fire, and train new fire professionals to help meet challenges of reducing fire risks and sustaining ecosystem resilience in evolving environments.
Developers: Los Alamos National Laboratory
Co-Developers: U.S. Department of Agriculture Forest Service Tall Timbers Research Station
United States
Product Description:QUIC-Fire is the first laptop-capable, real-time speed wildland fire prediction software to explicitly model a fire’s two-way interaction with the atmosphere and 3D heterogeneous vegetation — the very factors that drive fire and are essential to simulating complex site-specific wildfire and prescribed fire scenarios. QUIC-Fire transforms a fire practitioner’s ability to assess risk, optimize fuel treatments, and plan prescribed burns. With QUIC-Fire, practitioners can quickly model how a fire will spread in situations previously impossible for fast-running tools. QUIC-Fire captures the critical influences of 3D vegetation structure, interactions between multiple fires, variable winds, and complex topography at meter-scale resolutions. Such capabilities typically require a supercomputer, yet QUIC-Fire runs on a laptop orders of magnitude faster than supercomputer models. QUIC-Fire can also serve as a prescribed fire “flight simulator” to train fire practitioners. As the first fast-running tool with these capabilities, QUIC-Fire will revolutionize the assessment of wildfire risks and behavior, bolster safe expansion of prescribed fire, and train new fire professionals to help meet challenges of reducing fire risks and sustaining ecosystem resilience in evolving environments.
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