Project Grant 2530958
- 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...
- This $399,162 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to improve the computational speed and efficiency of geoscientific models, such as those used for air pollution and climate research. The project will create simpler "surrogate" machine learning models for key components like atmospheric chemistry and wildfire plume rise, allowing for...
- 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 $225,351 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the development of AI emulator tools for improving the estimation of statistics for rare and extreme climate events, such as heat waves and cold spells. The project, led by New York University (NYU), will focus on creating novel methods to leverage AI techniques to better model and predict the impacts of these...
- 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...
- 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...
- 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...
- This Project Grant award of $252,059.00 from the National Science Foundation's Geosciences Program (CFDA 47.050) supports the development of a machine learning-based "emulator" that can efficiently predict water isotope patterns from climate variables in global climate model simulations. The goal is to build a smart shortcut that can enhance climate science, hydrology, and understanding of the Earth's past and future climate. The award, spanning from November 1, 2025 to October 31,...
- 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 of $420,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel AI surrogate cyberinfrastructure for large-scale spatiotemporal simulations of coastal circulation. The project aims to create AI-powered models that can generate coastal circulation simulations much faster and more efficiently than traditional numerical models, which are costly and time-consuming to run on...
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 the role of multiscale ocean processes on momentum, energy, heat transport, and local variability such as marine heatwaves and sea level extremes. This collaborative research project, led by New York University, aims to advance scientific machine learning capabilities, including stability and interpretability in complex systems, with methodologies that can extend to other multiscale problems. The award has an ultimate completion date of September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $714.2k | 7/18/25 |