Project Grant 2512946
- The National Science Foundation's Geosciences Program (CFDA 47.050) awarded a $218,764 project grant to the University of Arizona to conduct collaborative research on leveraging seismic data to better understand post-wildfire debris flow dynamics. The project will use a network of seismic sensors installed in a recently burned area to monitor debris flows and floods triggered by rainfall, with the goal of improving models for predicting these hazards. The investigators will test hypotheses...
- This $197,844 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will support a planning project to address knowledge gaps and co-design scientific approaches to proactively mitigate hazards and reduce risks associated with post-fire debris flows and floods. The University of Arizona, as the prime awardee, will collaborate with the Yavapai County Flood Control District to develop research questions that will enhance understanding of fire...
- This Project Grant award from the National Science Foundation (CFDA 47.050 - Geosciences) provides $735,074 to the University of Washington to develop a Framework for Artificial Intelligence-Enhanced Modeling of Wildfire Geohazards (FAIM-WG). The project aims to create a comprehensive dataset of topographic, meteorological, and environmental variables for major wildfires across the western U.S. This dataset will then be used to develop probabilistic models to predict post-fire debris flow...
- This $2,496,689 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) will establish the FIRE-NET network to develop a new framework for "fast fire risk" across the western United States. The goal is to better understand and predict the growing threat of fast-moving wildfires that have become more frequent and destructive in recent years. The project will leverage expertise across multiple disciplines to create advanced data modeling and...
- This $162,243 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports collaborative research at the University of Central Florida (UCF) to advance predictive understanding of landscape evolution and erosional extremes under changing climatic conditions. The key objectives are to: (1) extract local geomorphic transport laws driving landscape evolution using large-scale experimental data and novel physics-informed artificial intelligence methods; (2)...
- This three-year Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) provides $727,928 to Colorado State University to examine the role of snow in modulating hydrogeomorphic change and recovery after wildfires. The university will analyze post-fire hazards and vegetation recovery in burn scars from the 2020 Cameron Peak and East Trouble-some Fires in northern Colorado. Field research will evaluate causes of flooding, erosion, and debris flows in the first 1-3...
- This Cooperative Agreement award from the U.S. Geological Survey (USGS) under the Research and Data Collection program (CFDA 15.808) provides $140,000 to the University of Arizona from August 21, 2023 to August 20, 2025. The purpose is to improve forecasting of post-wildfire debris flow hazards in the Southwestern U.S., especially in Arizona. Key activities include: Collecting data from a recent post-fire debris flow event in Arizona to improve numerical models for forecasting debris flow...
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) in the amount of $558,188 awarded on January 15, 2026 aims to advance scientific understanding of the behavior of dense granular media in geoscience applications. The project brings together researchers from geosciences, computer science, and engineering to develop new models that better capture the complex behaviors of particle-laden flows, such as those found in avalanches, volcanic flows, and...
- The National Science Foundation (NSF) Geosciences Program (CFDA 47.050) awarded a $1,305,489 project grant to the University of Colorado to develop a validated, physics-based computational modeling capability for predicting firebrand generation, properties, and near-field transport during wildland fires. This highly interdisciplinary research project aims to improve the accuracy and reliability of computational tools used to simulate and predict the spread and impact of large-scale wildfires,...
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will support a $999,457 research project at Vanderbilt University from July 1, 2025 to June 30, 2029. The project, titled "RAISE: Establishing Wildfire-Resilient Communities," aims to improve models of wildfire behavior and risk at multiple scales - from the global to the individual building level. The research will link wildfire propagation models to better understand how wildfires spread...
This $376,323 federal Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) supports research to better understand post-wildfire debris flow dynamics using seismic monitoring at Northern Arizona University (NAU). The project aims to leverage seismic data to characterize the conditions that trigger debris flows and flooding in recently burned areas, in order to improve predictive models and early warning systems for downstream communities. Over a 3-year period from August 2025 to July 2028, the research will test hypotheses about how debris flow initiation locations, magnitudes, and frequencies evolve over time as landscapes recover from wildfires. The work involves deploying a network of seismic sensors in a recently burned area to generate in-situ observations and improve understanding of these complex post-fire hazards. The findings are expected to enhance models of landscape evolution and provide communities with more accurate early warning systems for post-wildfire debris flows and flooding.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $376.3k | 7/18/25 |