This $228,000 Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will fund research at Arizona State University from December 2022 through November 2025 aimed at improving nonstationary intensity-duration-frequency analysis of extreme precipitation. Specifically, the researchers will advance understanding of how the generating mechanisms of sub-daily and daily extreme precipitation may change in response to climate...
This $673,418 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research at North Carolina State University to improve understanding of monthly flood dynamics over the southeastern and south-central United States. Specifically, the university will quantify shifts in flood climatology, identify moisture delivery pathways for floods, and attribute sources of modulation for floods' spatiotemporal variability. Researchers will examine historical...
This $550,254 project grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research by the University of Arizona to address the flood justice and equity impacts of urban adaptation and expansion using satellite observations. The research aims to: Generate observed flood data to measure how flood protection infrastructure like levees and drainage systems impact flooding patterns and who is affected, particularly underserved communities. Build capacity...
The National Science Foundation (NSF) awarded a $175,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Arizona State University to develop a geostatistical framework for modeling spatiotemporal extremes, such as heat waves, drought, and intense precipitation. The research aims to better understand the distributions of extreme weather events and develop statistical tools to model the associated spatial and temporal trends and uncertainties. The project will...
Arizona State University received a $284,867 three-year Project Grant award from the National Science Foundation to support research titled "Collaborative Research: Quantifying Watershed Dynamics in Snow-Dominated Mountainous Karst Watersheds Using Hybrid Physically Based and Deep Learning Models." The grant, awarded under the NSF's Geosciences program (CFDA 47.050), will fund the development of hybrid physically based and machine learning models to better understand watershed dynamics...
This $199,998 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to advance the understanding of the disproportionate impacts of cascading flood events on vulnerable populations, particularly individuals with disabilities. The primary activities include engaging community partners, conducting stakeholder interviews and community listening tours, assessing the feasibility of existing and emerging flood resilience solutions, and mapping the...
This $550,000 National Science Foundation Project Grant under the Geosciences program (CFDA 47.050) will support the development of data-driven physics-informed machine learning models to predict flood-induced flow and sediment dynamics. Over a four-year period ending June 2027, the grantee will improve existing high-fidelity numerical modeling tools and apply them to evaluate flood impacts on infrastructure stability in large waterways. They will then use simulation results to inform and...
This Project Grant award of $998,696.00 from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund a project at Northeastern University to evaluate how communities have responded to recent floods and develop new tools to help build resilience to flooding hazards. The project aims to enhance the resilience of floodplain communities by increasing understanding of the causes and projections of riverine flooding at the local level. The researchers will collaborate with...
This five-year, $460,399 project grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research and education initiatives focused on improving flood hazard assessments. The principal investigator at Northeastern University will establish a long-term floodplain sedimentation observatory and develop hydraulic models to better understand landscape controls on alluvial sedimentation patterns. This work will help constrain flood hazard estimates through...
This Project Grant, awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, aims to develop a novel computer modeling approach to comprehensively understand and manage flood risk. The $299,271 award, effective September 1, 2024, brings together a team of U.S. and Japanese researchers to create a multi-scale, multi-agent flood risk model that considers both natural and human factors, including the differential impacts on...