This $370,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The University of Alabama in Huntsville to improve understanding of wildfire behavior in heterogeneous fuel mixtures from July 2022 to June 2025. The research aims to identify key physical and chemical processes controlling ignition and spread of fire in mixtures of living and dead fuels through controlled experiments and computational simulations. Lasers and other...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to enhance wildfire risk assessment in wildland-urban interface (WUI) communities through comprehensive data collection and high-fidelity fire spread modeling. The $196,639 award to the University of Maryland, College Park will fund the compilation of a detailed dataset documenting the impacts of the Maui wildfire, as well as an assessment of using advanced computational fluid dynamics...
This $400,000 two-year Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will fund research at Worcester Polytechnic Institute to better understand the role of non-steady winds on wildfire spread. Specifically, the award will support examination of the physical mechanisms by which gusting winds interact with flame-driven wildfire spread and firebrand spotting. Novel imaging methods will also be used to measure these...
This $108,519 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to gain predictive understanding of the physical processes responsible for rapid wildfire spread and associated smoke transport within the atmospheric boundary layer. The project will utilize non-modal instability analysis and large-scale eddy simulations to investigate the dynamics and thermodynamic processes driving the rapid growth of billows in fire smoke plumes. This...
This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award of $219,022 to the University of Maryland, College Park aims to establish fundamental knowledge on the heat transfer mechanisms from firebrand deposition to recipient surfaces. The primary objectives are to: 1) conduct numerical simulations to identify the effects of firebrand properties and boundary layer interactions on deposition patterns over flat surfaces, 2) incorporate surface fuel morphology to...
This $174,924 National Science Foundation project grant supports the development of a multiphysics numerical framework to analyze soil engineering properties and slope stability in post-wildfire environments. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the 24-month project at Lawrence Technological University will empirically identify wildfire impacts on soil, analytically evaluate fundamental physics during and after wildfires, and numerically...
The National Science Foundation awarded a $150,000 Project Grant to the National Center for Atmospheric Research (NCAR) under the Computer and Information Science and Engineering program (CFDA 47.070). The award will support development of a closed-loop sensing, modeling, and communications system to aid in wildfire detection, mapping, and prediction from July 2022 through June 2025. The system aims to leverage detailed 3D environmental models incorporating fuel, terrain, weather and other...
This $356,800 federal Project Grant awarded by the National Aeronautics and Space Administration (NASA) Science Mission Directorate (CFDA 43.001 - Science) supports research to improve the prediction of wildfire risk by capturing freeze/thaw cycle dynamics. The research will be conducted by the Regents of the University of Michigan over a 3-year period from October 1, 2024 to September 30, 2027. The funding will enable the university to leverage its academic expertise and research infrastructure...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $317,959 to Florida State University to conduct collaborative research aimed at gaining a predictive understanding of the physical processes driving rapid wildfire spread and associated smoke transport within the atmospheric boundary layer. The project will utilize large-scale eddy simulations and non-modal instability analysis to delineate the key mechanisms responsible for the rapid...
The National Science Foundation (NSF) awarded a $889,209 Project Grant under the Geosciences Program (CFDA 47.050) to the University of California, Irvine (UC Irvine) to advance wildfire science, prediction, and management using machine learning. The key products and services to be delivered include: Developing a large new public dataset of fire-related environmental observations to support large-scale machine learning and reproducible research on wildfire spread modeling. Advancing innovative...