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 Project Grant award, valued at $317,959, was provided by the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) to Florida State University (FSU) to conduct research aimed at gaining predictive understanding of the physical processes behind rapid wildfire spread and associated smoke transport. The key objectives of this 3-year project are to: Perform non-modal instability analysis of fire smoke plumes to delineate the key processes responsible for rapid growth of...
This Project Grant from the National Science Foundation supports research titled "COLLABORATIVE RESEARCH: CPS: MEDIUM: WILDLAND FIRE OBSERVATION, MANAGEMENT, AND EVACUATION USING INTELLIGENT COLLABORATIVE FLYING AND GROUND SYSTEMS." Awarded on May 1, 2021 for a three-year period concluding on April 30, 2024, the $249,999 grant will fund research under the Computer and Information Science and Engineering program. Specifically, the grant supports the development of technologies using...
This $297,813 federal Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities (CFDA 47.083) program is supporting research to advance the predictive understanding of wildfire ignitions in the western United States. The award establishes new collaborations between Boise State University, the Universities Space Research Association (USRA), and NASA Ames Research Center to study the impact of climate, weather, land use, and social factors on wildfire...
This $146,766 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a 5-year research project titled "UNDERSTANDING VULNERABILITY TO WILDLAND FIRE BY ASSESSING WILDFIRE DISTURBANCE AS A MULTI-SCALAR SYSTEM" at Boise State University. The project aims to analyze patterns of vulnerability to wildland fires on a national scale, evaluate perceptions and experiences of affected communities regarding wildland...
This three-year Project Grant from the National Science Foundation supports research into wildland fire observation, management, and evacuation systems. With $144,967 in funding, the award will develop intelligent collaborative flying and ground systems to aid in monitoring, responding to, and evacuating areas threatened by wildfires. The awardee is the University Corporation for Atmospheric Research, operating through its National Center for Atmospheric Research facility in Boulder, Colorado....
The National Science Foundation awarded a $100,000 Project Grant to the University of California, Berkeley under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop context-specific scientific simulation models and an advanced visualization platform to mitigate wildfire risks. The award period is from July 1, 2022 to June 30, 2023. Specifically, the University will create an integrated simulation framework capturing the dynamics of wildfire evacuation, including...
This Project Grant from the National Science Foundation Division of Behavioral and Cognitive Sciences provides $446,006 to Kansas State University from July 1, 2021 through December 31, 2024. The funding supports the research project "Influence of Wildfire Risk Perception on Agricultural Land Management Decisions" under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). This program aims to contribute to scientific strength and welfare through promotion of basic...
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) on October 1, 2024. The project, titled "ADVANCING WILDFIRE SCIENCE, PREDICTION, AND MANAGEMENT WITH MACHINE LEARNING," aims to develop new machine learning models to improve forecasting and mitigation of wildfires. The key products and services to be delivered include: Creating a large public dataset combining weather,...
This Project Grant award for $108,519 from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to gain predictive understanding of the physical processes driving rapid wildfire spread and associated smoke transport within the atmospheric boundary layer. The University of Oklahoma is the prime awardee and will utilize large-scale eddy simulations to validate the results of non-modal instability analysis and investigate the underlying dynamics and thermodynamic processes. This...