Project Grant NA23OAR0210329
- The National Oceanic and Atmospheric Administration awarded Improving Aviation LLC $299,668 under the Small Business Innovation Research Program to develop a fully automated wind observing system called WINDTL. The system will allow for measurements of local wind velocity components and statistics near wildfire fronts with improved temporal and spatial resolution compared to existing satellite and weather model data. With a completion date of February 28, 2023, the project aims to provide higher...
- 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...
- The U.S. Department of Agriculture's (USDA) National Institute of Food and Agriculture (NIFA) awarded a $173,856 Project Grant under the Small Business Innovation Research (SBIR) / Small Business Technology Transfer (STTR) Program (CFDA 10.212) to Weatherextreme LTD. The project aims to address the gap between advances in technology and modeling, and their integration into operational fire management. The proposed solution involves using an unmanned aerial system (UAS) platform to provide...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $100,000 to the University of Oklahoma to advance the foundational knowledge needed to support a unified wildfire warning system capable of delivering short-term, location-specific alerts. The key objectives of this 3-year project are to: 1) Improve understanding of fire-atmosphere coupling to enhance short-term, highly localized fire prediction; 2) Examine how...
- This $5,500,000 Project Grant award from the National Institute of Standards and Technology (NIST), under the Congressionally-Identified Projects program (CFDA 11.617), aims to increase knowledge about local weather systems in the lower atmosphere. The key activities include: Developing a method to standardize and trace commercial UAS and advanced air mobility (AAM) atmospheric measurements, as well as protocols and standards for the Unmanned Aircraft Meteorological Data Report. Evaluating...
- 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 from the National Science Foundation (CFDA 47.041, Engineering) to the University of Illinois aims to develop a technological solution called "Ember Intelligence" to detect, track, and forecast the movement of embers during wildfires using drone-mounted infrared sensors, edge computing, and artificial intelligence. The $250,000 award, with a period of performance from August 1, 2025 to July 31, 2029, will integrate fire science, unmanned aircraft systems, and...
- This Project Grant from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems provides $284,564 to develop an advanced optical sensor using background-oriented schlieren tomography to characterize wildfire dynamics. Funded under the NSF Engineering program (CFDA 47.041), the research aims to perform time-resolved, volumetric measurements of wildfire combustion processes through a physics-informed closure for tomographic reconstruction. The...
- 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...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $410,000 project grant to San Diego State University Foundation to conduct research on the toxic emissions and environmental exposures from wildfires in the wildland-urban interface (WUI). The three-year project, titled "AFTER THE FLAMES IN POST-FIRE WUI HOMES: CHARACTERIZATION OF TOXIC EMISSIONS, ENVIRONMENTAL CONCENTRATIONS, AND EXPOSURES", aims to identify and quantify the harmful air pollutants...
THE LACK OF CONSISTENT, ACCURATE INFORMATION ON LOCAL WILDFIRE BEHAVIOR, SUCH AS GUSTINESS OF WINDS AT WILDFIRE FRONTS AND EMBER SHOWERS IS ONE OF THE MOST CRITICAL DATA GAPS FOR WILDFIRE MANAGERS. ATMOSPHERIC PROCESSES IN THE ATMOSPHERIC BOUNDARY LAYER SIGNIFICANTLY INFLUENCE THE BEHAVIOR OF WILDFIRES. TEMPORAL AND SPATIAL VARIABILITY OF FINE-SCALE WINDS AT THE WILDFIRE FRONT PLAYS A KEY ROLE IN FORECASTING WILDFIRE SPREAD AND SPOTTING EVENTS. AVAILABLE WIND INFORMATION FROM SATELLITES AND NUMERICAL WEATHER PREDICTION MODELS DOES NOT MEET THE NEED FOR THE TEMPORAL AND SPATIAL RESOLUTION FOR PRECISE MODELING OF WILDFIRES, ESPECIALLY THE FIRE SPREAD THROUGH EMBER DISPERSAL WITHIN WILDLAND-URBAN INTERFACES (WUI). THE WINDTL SYSTEM IS A CUTTING-EDGE OPERATIONAL WILDFIRE EMBER MODEL INITIALIZED BY HYPER-LOCAL WINDS RESOLVED FROM UNMANNED AERIAL SYSTEMS (UAS) MEASUREMENTS IN THE WILDFIRE CANOPY. THE HYPER-LOCAL WINDS CAN REVEAL THE NEARFIELD DYNAMICS OF THE BUOYANT PLUMES OF HOT AIR, OFFER
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 12/18/25 | ||
| Not listed | $0 | 1/24/24 | ||
| Not listed | $649.3k | 7/17/23 | ||
| Not listed | $649.3k | 7/17/23 |