Project Grant N000141010991

This Project Grant award from the National Science Foundation (NSF) Division of Ocean Sciences under the Geosciences program (CFDA 47.050) provides $323,315 to the University of Texas at Dallas (UTD) to develop a sea-state-dependent numerical algorithm for accurately estimating wind stress over ocean surface waves. The interdisciplinary research team, which includes experts in physical oceanography, air-sea interactions, and atmospheric sciences, will leverage advanced infrared imaging and...

This three-year, $358,347 project grant from the National Science Foundation's Geosciences program (CFDA 47.050) will support research to determine the role of ocean dynamics in Atlantic sea surface temperature variations using coupled climate models. The Woods Hole Oceanographic Institution will lead a collaborative effort to develop a hierarchy of coupled climate models within the Community Earth System Model version 2 platform. Comparisons between model pairs that disable specific oceanic...

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...

This National Science Foundation (NSF) Engineering program grant awarded to the University of Texas at Dallas (UTD) aims to advance the understanding of air-sea interactions and wind stress over ocean waves. The $302,091 project, titled "Collaborative Research: Sea-State-Dependent Drag Parameterization Through Experiments and Data-Driven Modeling," runs from April 1, 2024 to March 31, 2027. The research integrates high-resolution laboratory measurements with numerical simulations to...

This $276,182 Project Grant awarded by the National Science Foundation (NSF) Geosciences Program (CFDA 47.050) aims to develop a new tool for accurately observing coastal winds using high-frequency (HF) radar. The overall objective is to produce reliable wind observations at the same resolutions as ocean currents, advancing the understanding of coupled ocean-atmosphere dynamics. The funded research will finalize a "tomographic" approach to wind extraction from HF radar signals, which...

This $499,802 federal Project Grant award, funded by the National Science Foundation's Geosciences program (CFDA 47.050), aims to improve coastal community resilience to hurricane wind-related hazards and potential compounding hazards. The project will leverage Doppler radar wind retrievals and near-surface wind measurements to better understand the low-level wind profiles of landfalling hurricanes. Researchers will use advanced simulation techniques and artificial intelligence to predict...

Geometric Data Analytics Inc. received a $299,804 project grant award from the National Oceanic and Atmospheric Administration under the Small Business Innovation Research Program to develop artificial intelligence capabilities that improve modeling of complex ocean dynamics and assist in logistical management and planning of uncrewed deployment campaigns. Specifically, the awardee will enhance their Float Field Geometric Health software to better predict future positions of floating sensor...

This three-year $247,784 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports research investigating the effects of upper ocean mixed layer depth variability on sea surface temperature (SST). The awardee, University of Washington, will develop a conceptual framework and metrics to analyze data collected throughout tropical and subtropical oceans. Statistics will identify specific ocean-atmosphere coupled processes essential for SST prediction in...

This National Science Foundation (NSF) Project Grant award under CFDA 47.050 - Geosciences program provides $181,787 to the Massachusetts Institute of Technology (MIT) to study the role of wind and waves in mixing the upper ocean. The 3-year project, effective July 1, 2024, will carry out simulations with laboratory experiments and computer models to test the hypothesis that coupling currents and waves is necessary to reliably represent the deepening of the ocean surface layer. The research aims...

This $280,247 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research by the Massachusetts Institute of Technology (MIT) to develop advanced, AI-powered modeling capabilities for small-scale turbulence within the coupled air-sea boundary layers. The research aims to improve understanding of how surface waves and resulting turbulent processes regulate the exchange of mass, momentum, and energy between the atmosphere and...