Project Grant 2530959
- This $714,230 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund the development of a multiscale AI emulator to investigate complex nonlinear dynamics of the ocean circulation and bridge the gap between understanding and simulating ocean variability across multiple time and space scales. The primary objectives are to construct a 3D physically-based AI ocean emulator from heterogeneous datasets, evaluate the multiscale emulator, and determine...
- This National Science Foundation (NSF) Geosciences program (CFDA 47.050) Project Grant award of $280,247 to the Massachusetts Institute of Technology (MIT) aims to develop a comprehensive parameterization of wave and turbulent stresses at the air-sea interface. The project will combine high-resolution laboratory experiments, high-fidelity numerical simulations, and advanced artificial intelligence (AI) techniques to examine the multiscale turbulence above and below ocean surface waves. The...
- 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...
- The National Science Foundation's Geosciences Program (CFDA 47.050) awarded a $871,084 Project Grant to the Woods Hole Oceanographic Institution (WHOI) to develop a novel observing system that uses artificial intelligence (AI) to coordinate multiple autonomous underwater vehicles (AUVs). This system will be used to characterize the three-dimensional structure of tidally-driven coastal headland eddies, investigate the spatiotemporal variability of small-scale flow convergence within the eddies,...
- This Project Grant award, titled "COLLABORATIVE RESEARCH: CAIG: UNRAVELING AEROSOL-CLOUD INTERACTIONS AND SEA ICE THERMODYNAMICS WITH AI AND ENSEMBLE KALMAN DIFFUSION GUIDANCE," is funded by the National Science Foundation's Geosciences Program (CFDA 47.050). The $325,000 award, made to the Massachusetts Institute of Technology (MIT), aims to advance capabilities in understanding and predicting two critical aspects of the Earth system: the cooling effect of atmospheric aerosols and...
- This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $612,291 to the University of California, Davis (UC Davis) to develop a sophisticated artificial intelligence (AI) system to analyze satellite measurements and high-resolution ocean model outputs. The goal is to detect and measure ocean fronts, which are boundaries between water masses with different properties, and estimate the heat content of the ocean's upper mixed layer. The...
- This $328,081 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support research at Columbia University to understand the drivers of the extreme marine heatwaves that occurred globally in 2023. The project will use observational data, climate models, and artificial intelligence to investigate the roles of surface heat, clouds, and ocean currents in causing these marine heatwaves, which...
- The National Science Foundation (NSF) awarded a $298,225 Project Grant under the Geosciences program (CFDA 47.050) to Southern Methodist University (SMU) to conduct collaborative research on multi-scale AI-powered modeling of small-scale turbulence within the coupled air-sea boundary layers. The project aims to enhance the fundamental understanding of the dynamics linking turbulent flow structures above and below ocean surface waves, and to develop a comprehensive parameterization of wave and...
- The National Science Foundation (NSF) awarded a $536,577 Project Grant under the Geosciences program (CFDA 47.050) to the University of California, Santa Cruz (UCSC) to develop an innovative Artificial Intelligence (AI) system to analyze satellite measurements and high-resolution ocean model outputs. The project aims to detect and measure ocean fronts - boundaries between water masses with different properties - and estimate the heat content of the ocean's upper mixed layer. The researchers plan...
- This Project Grant award from the National Science Foundation (CFDA 47.050 - Geosciences) provides $579,598.00 to the University of Texas at Dallas (UTD) to conduct collaborative research on multi-scale AI-powered modeling of small-scale turbulence within the coupled air-sea boundary layers. The project aims to examine the coupling of wave-induced flow structures above and below the air-sea interface, using a synergistic approach of high-resolution laboratory experiments, high-fidelity numerical...
This federal Project Grant award from the National Science Foundation (CFDA 47.050 Geosciences) will fund a collaborative research project to build the first multiscale AI ocean emulator, spanning from submesoscales to large-scale ocean flows. The $497,026 award to the Massachusetts Institute of Technology (MIT) aims to investigate the complex nonlinear dynamics of the ocean circulation and bridge the gap between understanding and simulating ocean variability across multiple time and space scales. The project will advance the development of physics-informed, autoregressive neural networks capable of learning from heterogeneous, multi-resolution ocean datasets. The primary objectives are to construct a 3D multiscale AI ocean emulator and evaluate its ability to capture momentum, energy, and heat transport at large scales based on submesoscale and mesoscale processes. Findings will enhance knowledge of ocean circulation and its role in shaping long-term variability, including impacts on marine heat waves and sea level extremes.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $497.0k | 7/18/25 |