Project Grant 2616141
Award Date 1/1/27
Completion Date 12/31/29
Dollars Obligated $737K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Chicago, IL 60637, USA
Similar Awards
- This $284,443 Project Grant award was provided by the National Science Foundation (NSF) through its Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the University of Chicago. The project, titled "COLLABORATIVE RESEARCH: CAIG: DEVELOPING AI EMULATOR TOOLS FOR EXTREME EVENTS WITH APPLICATION TO HEAT WAVES AND COLD SNAPS", aims to develop advanced mathematical tools and AI emulation techniques to improve the estimation of rare climate events,...
- The National Science Foundation Division of Atmospheric and Geospace Sciences awarded The University of Chicago $942,543 on July 1, 2026, under the Geosciences program (CFDA 47.050) to investigate satellite-era trends in extratropical circulation extremes and their relationship to heat and precipitation extremes. The research combines observational data, theory, physics-based Earth system models, and artificial intelligence models to quantify mechanistic understanding of how atmospheric...
- 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...
- Federal Grant Award Summary The University of Chicago received a $177,158 Project Grant awarded May 1, 2025, by the National Science Foundation (NSF) Office of Integrative Activities under the Geosciences program (CFDA 47.050). This collaborative research initiative will deliver improved atmospheric gravity wave representations through the development of data-informed computational models and machine learning techniques. The primary products include enhanced parameterization schemes for...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $449,321 to the University of California, Santa Cruz (UCSC) to develop AI-based atmospheric emulators that can reliably model climate change and extreme weather events. The project aims to create physically-consistent and numerically stable deep learning models to simulate atmospheric dynamics at a fraction of the computational cost of...
- The National Science Foundation Office of Integrative Activities awarded The Research Foundation For The State University of New York $677,967 on August 1, 2026, to develop physics-informed artificial intelligence emulators for stratosphere-troposphere coupling under the Geosciences program (CFDA 47.050). The project addresses a critical gap in current AI weather and climate models: they forecast near-surface conditions accurately but fail to represent the stratosphere and its connection to...
- Federal Project Grant Award Summary The University of Illinois received a $650,000 Project Grant from the National Science Foundation's (NSF) Office of Integrative Activities under the Geosciences Program (CFDA 47.050) for the collaborative research project "Unraveling the Long-Range Predictability and Environmental Dependency of High-Impact Cyclones with Artificial Intelligence Tools." The award period runs from January 1, 2026, through December 31, 2028. This fundamental research...
- This Project Grant award of $199,316.00 from the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) aims to advance the understanding of how extreme weather events, such as heavy rainfall and flooding, may change in response to future climate scenarios. The project, titled "EMBRACE-AGS-SEED: Harnessing the Power of Machine Learning to Generate Ensembles of Regional Climate Projections," will evaluate whether artificial intelligence and machine learning can provide...
- 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...
- 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...