The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Virginia. The grant supports the development of new physics-guided graph network models to capture complex, non-stationary, and poorly observed water dynamics in freshwater ecosystems. Key innovations include new graph-based architectures, continual learning strategies, and model initialization methods that leverage...
The National Science Foundation (NSF) awarded a $371,679 Project Grant under the Geosciences program (CFDA 47.050) to Virginia Polytechnic Institute & State University (Virginia Tech) to conduct research on "Dynamic Connectivity: A Research and Educational Frontier for Sustainable Environmental Management under Climate and Land Use Uncertainty." This five-year project, with an end date of July 31, 2029, will leverage high-frequency aquatic sensors and deep learning models to...
The National Science Foundation awarded a $174,000 project grant under the Geosciences program (CFDA 47.050) to support research titled "UNRAVELING FLUVIAL KINEMATICS BEFORE THE RISE OF LAND PLANTS: BRIDGING LABORATORY AND GEOLOGIC SCALES." The two-year award beginning August 1, 2021 will fund basic research at the University of California, Santa Barbara to enhance understanding of the integrated Earth system through expanded knowledge of atmospheric, earth, and ocean sciences....
The National Science Foundation (NSF) awarded a $101,529 Project Grant under the Geosciences program (CFDA 47.050) to the University of Central Florida (UCF) to develop a predictive framework for understanding how the structural, geometric, and emergent features of river networks influence the dynamics of flux movement, such as the transport of water, sediment, and nutrients. The three-year project aims to (i) unveil the key controls imposed by river networks on flux aggregation during...
The National Science Foundation (NSF) Division of Earth Sciences awarded a $271,639 Project Grant to Williams College on August 1, 2023 under its Geosciences program (CFDA 47.050) to study the formation of oxbow lakes. The 3-year collaborative research project will employ field data collection and numerical modeling methodologies to evaluate how the initial geometry of river channel cutoffs impacts the likelihood of oxbow lake development. The research team will work with the Indiana...
The University of New Mexico received a $254,245 Project Grant award from the National Science Foundation Division of Earth Sciences on January 1, 2022 to fund research through December 31, 2024. The grant supports the collaborative research project "Informing River Corridor Transport Modeling by Harnessing Community Data and Physics-Aware Machine Learning." This award falls under the NSF's Geosciences program (CFDA 47.050), which aims to expand fundamental knowledge of 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...
The University of Virginia received a $233,058 Project Grant from the National Science Foundation under the Geosciences program (CFDA 47.050) for research titled "COLLABORATIVE RESEARCH: MICROSCALE INTERACTIONS OF FOUNDATION SPECIES WITH THEIR FLUID ENVIRONMENT: BIOLOGICAL FEEDBACKS ALTER ECOLOGICAL INTERACTIONS OF MUSSELS" from February 1, 2021 to January 31, 2024. The grant funding will support research examining the microscale interactions between foundation species like mussels and...
This $259,328 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports research at Tulane University to develop novel methods for real-time streamflow estimation and forecasting. The University will integrate direct measurements with numerical models to more accurately capture short-term flood wave propagation effects and seasonal impacts of riparian vegetation changes. Researchers will combine experimental, data-driven, and physics-based modeling to enable...
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $338,559 to the University of Arkansas will fund a research project titled "Loops in Coastal Channel Networks: A Theoretical, Experimental, and Field-Based Investigation of their Morphodynamic Stability." The project aims to explore the stability of channel loops found in river delta networks, which existing theory suggests should be unstable. The research will use a three-pronged...