This $599,219 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support research to leverage machine learning to better understand and predict wind loads on low-rise buildings. The goal is to develop a data-driven framework that can accurately predict full-scale wind pressures on buildings, leading to improved structural design and increased community resilience against natural hazards like hurricanes, tornadoes, and downbursts. The...
This National Science Foundation (NSF) Project Grant Award under CFDA Program 47.050 - Geosciences is focused on advancing the understanding and prediction of tropical cyclone formation, also known as "genesis," in the western Atlantic and Caribbean regions. The $167,227 grant, awarded on January 1, 2025, will support research at the University of Miami's Rosenstiel School of Marine and Atmospheric Science (RSMAS) to investigate the multiscale processes and predictability of...
This National Science Foundation project grant award of $409,127 provides funding from March 1, 2023 through February 28, 2026 to support collaborative research on hurricane risk amplification and changing North Atlantic natural disasters. The award is made under the Geosciences program (CFDA 47.050) to strengthen understanding of the integrated Earth system through basic research in atmospheric, earth, and ocean sciences. Specifically, the funding will support research examining hurricanes...
This $423,690 National Science Foundation project grant supports research at the University of Florida to develop a debris damage vulnerability assessment platform and interactive augmented reality tool. Funded under the NSF Engineering program (CFDA 47.041), the three-year award running from July 2022 to June 2025 aims to advance understanding of windborne debris transport in urban areas through wind tunnel experiments, data-driven computer simulations, and physics-based models. Researchers...
This $134,207 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research to transform the scientific community's understanding and forecasting of coastline changes in response to shifting storm climates and sea-level rise. The project will develop new techniques to downscale global climate model outputs to produce detailed forecasts of the winds, waves, and water levels affecting specific coastlines, such as the Carolina...
This $542,947 five-year Faculty Early Career Development (CAREER) award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research by Colorado State University to develop new methodologies for assessing evolving hurricane risks to urban building exteriors due to climate change and urbanization. The research aims to create a user-friendly, cloud-based application called UrbanWinds that allows engineers to quickly evaluate wind loads and building risk...
This $499,993 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will develop and implement a framework to improve flood hazard assessments and mitigation efforts in rural Texas communities. The framework will leverage community knowledge and priorities to create new data, computer models, and decision-making tools that integrate earth system science with community-centered approaches. Two rural Texas...
This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program award provides $548,702 to Florida State University (FSU) to conduct research aimed at enhancing the simulation of extreme winds and their impact on civil infrastructure. The project, which runs from February 1, 2024 to January 31, 2029, will leverage meta-learning systems, field observations, and experimental testing to improve understanding of site-dependent hurricane wind conditions and their effects on...
This National Science Foundation award provides $353,470 to the Desert Research Institute, a division of the Nevada System of Higher Education, to develop new technology and computer-generated predictions to improve the prediction of derecho windstorms. Funded under the Geosciences program (CFDA 47.050), the two-year project will create models and 4D visualizations synthesizing atmospheric conditions conducive to long-lasting and devastating derechos. By better representing the jet stream,...
This three-year, $349,200 National Science Foundation project grant supports research to advance mathematical and computational modeling capabilities for quantifying uncertainties in coastal hazard simulations. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the University of Texas at Austin will lead efforts to develop and apply a data-to-distribution pipeline using deep learning techniques, scalable data-consistent inversion approaches, and iterative methods for...