Cooperative Agreement 80NSSC22M0057

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...

The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) has awarded a $100,000 project grant to the University of Oklahoma for the project "Ethical and Responsible Artificial Intelligence for Earth Sciences". This 3-year project aims to address challenges around bias in AI systems used for weather and climate modeling. Key activities include: Extending categorization of biases in AI for earth sciences to enable...

This collaborative research project, funded by the National Science Foundation's (NSF) Geosciences program (CFDA 47.050) and awarded to Massachusetts Institute of Technology on October 1, 2025, delivers fundamental research aimed at advancing understanding of turbulent processes within coupled air-sea boundary layers. With total obligated funding of $280,247 through September 30, 2028, the project combines high-resolution laboratory experiments, high-fidelity numerical simulations, and...

The National Science Foundation Office of International Science and Engineering awarded a $200,000 Project Grant to the University of Chicago to develop responsible artificial intelligence systems to support effective climate change policymaking through 2026. Funded under the CFDA 47.079 International Science and Engineering program, this collaborative research between U.S. and Australian researchers aims to bridge information gaps between publicly available climate change data and actionable...

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 collaborative research project, funded by the National Science Foundation's Office of Integrative Activities under the Geosciences Program (CFDA 47.050), awarded $229,128 to Brown University on January 15, 2026, with completion targeted for December 31, 2028. The project delivers fundamental research advancing understanding of dense granular media behavior in geoscience applications through an integrated approach combining laboratory experiments, advanced numerical simulations, and...

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...

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 three-year, $100,000 Project Grant from the National Science Foundation's Office of Integrative Activities, under the Geosciences program (CFDA 47.050), will support the development of cybertraining programs focused on artificial intelligence and machine learning techniques for Arctic scientists. The Woodwell Climate Research Center will lead an initiative to establish an Arctic-AI research network and provide customized training through both in-person workshops and online self-paced...

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...