Project Grant 2509835
- The National Science Foundation (NSF) awarded a $497,419 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Colorado State University (CSU). The grant, titled "CAIG: Toward a Deeper Understanding of Cloud Processes and Future Storm Modes Using AI," aims to develop novel algorithms that leverage artificial intelligence (AI) and advanced mathematics to gain a deeper understanding of cloud formation and hazardous weather patterns in the...
- This federal Project Grant award for $650,000.00, funded by the National Science Foundation's Geosciences Program (CFDA 47.050), will support collaborative research to unravel the long-range predictability and environmental dependency of high-impact cyclones using advanced artificial intelligence (AI) tools. The research project, awarded to the University of Illinois, aims to improve fundamental understanding of cyclone behavior, including hurricanes and nor'easters, in order to develop more...
- This $350,000 federal Project Grant award, funded by the National Science Foundation's Geosciences Program (CFDA 47.050), supports a collaborative research project to unravel the long-range predictability and environmental dependency of high-impact cyclones using artificial intelligence (AI) tools. The project, awarded to the University of Washington starting January 1, 2026, aims to advance fundamental understanding of cyclone behavior, identify atmospheric precursors that influence...
- 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 Cooperative Agreement award from the National Oceanic and Atmospheric Administration (NOAA), under the Cooperative Institute (Inter-Agency Funded Activities) program (CFDA 11.405), provides $189,150 to Colorado State University from August 1, 2024 to July 31, 2027. The project aims to infuse NOAA's expertise and experience in leveraging atmospheric and oceanic data into various industry, government, and citizen stakeholder applications of artificial intelligence and machine learning. The...
- 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...
- 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 federal Project Grant award of $443,674 from the National Science Foundation's Geosciences Program (CFDA 47.050) will support research to develop advanced artificial intelligence (AI) models for predicting the initiation and evolution of thunderstorms. The project aims to enable significant breakthroughs in understanding convection initiation dynamics and improving the predictability of hazardous weather events like heavy rainfall, strong winds, hail, and tornadoes. Key objectives...
- This $298,225 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research project at Southern Methodist University (SMU) to develop advanced AI-powered modeling capabilities for examining small-scale turbulence within the coupled air-sea boundary layers. The research aims to improve understanding of how surface waves and their resulting turbulent processes regulate the exchanges of mass, momentum, and energy between the...
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $353,178 to the University of Florida to develop a transformative AI-based framework for generating high-fidelity, physically consistent, and uncertainty-calibrated geoscience data. The research aims to overcome limitations in observational infrastructure and computational cost to produce high-resolution geoscience data essential for understanding and predicting extreme weather events....
The National Science Foundation (NSF) awarded a $198,769 Project Grant under the Computer and Information Science and Engineering (CISE) federal grant program to Colorado State University (CSU) to plan the expansion of the National Oceanic and Atmospheric Administration's (NOAA) Hurricane and Ocean Testbed (HOT) to an AI-ready testbed. The project aims to bridge the gap between the AI research community and the operational hurricane forecasting community, with the goal of improving hurricane forecasting and related hazard predictions through the integration of promising new AI models. The project engages an interdisciplinary team from academia, research institutions, and NOAA to address both technical challenges and design/development considerations for transitioning AI models to operational use within the HOT testbed. The award has a performance period from August 15, 2025 to July 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $198.8k | 8/5/25 |