Project Grant 2512948
- 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...
- 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 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 (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 $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 $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 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...
- This five-year, $475,451 National Science Foundation project grant in the Geosciences program (CFDA 47.050) will support research examining how topography preserves details of the seismic cycle. The principal investigator will develop computational landscape simulations under varying tectonic and climatic conditions to identify topographic signatures of the seismic cycle. They will then assess whether these signatures are recognizable in natural landscapes with independent constraints on seismic...
- 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 of $229,128 from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research at Brown University to better understand the dynamic behavior of dense granular media in geosciences applications. The key objectives are to develop new models that capture the complex interactions between solids and fluids in particle-laden flows, such as those found in avalanches, volcanic flows, and river sediments. The research will combine laboratory...
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 related to how debris flow initiation locations, timing, and magnitude evolve over time as the landscape recovers from wildfires. By generating in-situ observations of post-wildfire debris flows, this research is expected to enhance tools for studying these processes and improve early warning systems for downstream communities at risk. The project will run from August 2025 through July 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $218.8k | 7/18/25 |