Cooperative Agreement NA23OAR4590383
- This National Science Foundation (NSF) Geosciences program (CFDA 47.050) Project Grant award of $168,845 to the University of Hawaii at Manoa aims to advance the understanding of the subseasonal-to-seasonal variability of wildfires in Hawaii and improve the accuracy of long-term wildfire forecasting. The research will use a combination of historical data and reanalysis techniques to quantify the variability of wildfires and fire weather in Hawaii, and identify the climatic factors contributing...
- 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 Cooperative Agreement award from the National Oceanic and Atmospheric Administration (NOAA) under the Weather and Air Quality Research federal grant program (CFDA 11.459) is focused on demonstrating and validating WRF-SFIRE forecasts initialized with Next Generation Fire System (NGFS) ignition points through the Fire Weather Testbed. The $780,762 project, running from August 2025 to July 2028, will involve development of a recommender tool to integrate the fire spread and smoke impact...
- This Project Grant award 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. The $108,519 award to the University of Oklahoma will support research to analyze non-modal instability and large-scale turbulent flows in fire-generated smoke plumes. This work will help guide firefighters to more safely and effectively suppress wildfires by improving...
- This is a Cooperative Agreement award from the National Oceanic and Atmospheric Administration (NOAA) under the Weather and Air Quality Research federal grant program (CFDA 11.459). The $1,048,807 award to George Mason University will support research to identify sources of predictability for precipitation, temperature, and drought on subseasonal to seasonal timescales, and to better understand and improve their representation in the Seasonal Forecast System Version 1 (SFSv1). Key project...
- This Cooperative Agreement, awarded by the Department of Commerce's National Oceanic and Atmospheric Administration (NOAA), aims to provide quantitative information on the potential impacts of fires to augment the National Weather Service's (NWS) impact-based decision support services. The $906,945.00 award, with a period of performance from Aug 1, 2023 to Jul 31, 2026, will be used by the University of Oklahoma to build statistical relationships between historical NWS forecasts and observed...
- This Project Grant award from the National Science Foundation's (NSF) Engineering Program (CFDA 47.041) provides $430,171 to Worcester Polytechnic Institute (WPI) to develop and validate a new predictive wildfire modeling framework that incorporates canopy biomechanics, aerodynamics, and fire-atmosphere interactions. The research aims to capture the dynamic motion of tree canopies and their effects on fire behavior, using multi-physics modeling and controlled laboratory experiments. The...
- 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...
- This Cooperative Agreement awarded by the National Oceanic and Atmospheric Administration (NOAA) under the Weather and Air Quality Research program (CFDA 11.459) provides $450,445 in funding to Northeastern University to improve the weather forecasting capabilities of NOAA's Rapid Refresh Forecast System (RRFS). The key objectives of this 2-year project are to: 1) Implement a new parameterization in RRFS that couples fire and meteorology to better account for fire-induced atmospheric boundary...
- This Project Grant from the United States Department of Agriculture's National Institute of Food and Agriculture (NIFA) through the Agriculture and Food Research Initiative (AFRI) program (CFDA 10.310) provides $103,133 to support research examining the relationship between climate and wildfires over long time periods. The University of New Mexico will analyze tree ring and sediment charcoal records to develop climate-fire models incorporating data from hundreds to thousands of years....
WE PROPOSE DETERMINING THE DEGREE OF SUCCESS IN PREDICTING SUBSEASONAL FIRE WEATHER METRICS (HDWI, WIND, HUMIDITY, SOIL MOISTURE [AS A PROXY FOR FUEL MOISTURE], PRECIPITATION, AND TEMPERATURE) BY USING THE EXISTING RETROSPECTIVE FORECASTS FROM UFS S2S AND SUBX MODELS. WE WILL ALSO EVALUATE THE IMPACT OF CALIBRATION, STATISTICAL DOWNSCALING, DYNAMICAL DOWNSCALING, AND MULTIPLE ENSEMBLE MEMBERS ON FORECAST SKILL (ACCURACY, RELIABILITY, AND UNCERTAINTY) AND USEFULNESS FOR DECISION-MAKING WITH STAKEHOLDERS. PURPOSE FOR THE AWARD: THE PROPOSED WORK WILL COMPARE TWO NOAA-SPONSORED SUBSEASONAL FORECASTS AND ASSESS THE COST-BENEFIT OF DIFFERENT POST-PROCESSING PROCEDURES. FORECAST DATA WILL NOT ONLY BE EVALUATED FOR SKILL, BUT WILL ALSO BE USED IN A CASE STUDY COMPARISON WITH SUB-DAILY WILDFIRE GROWTH. EXAMPLE FORECAST PRODUCTS WILL BE PRESENTED TO STAKEHOLDERS TO GUIDE FUTURE DEVELOPMENT OF THIS WORK FOR USE IN REAL-TIME DECISION SUPPORT AND DIRECT STAKEHOLDER PARTICIPATION. THE
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 7/22/25 | ||
| Not listed | $552.6k | 7/16/23 |