Project Grant 2441100
- The National Science Foundation (NSF) awarded a $505,036 Project Grant under the Geosciences program (CFDA 47.050) to the Trustees of Dartmouth College to improve predictions of sea level rise driven by ice mass loss from the Greenland and Antarctic ice sheets. The project aims to combine physical understanding of ice dynamics with artificial intelligence techniques applied to satellite imagery datasets, in order to develop physics-informed models of basal sliding and ice calving processes. This...
- This $600,397 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research to develop innovative, physics-informed machine learning models for predicting ice dynamics and calving processes that contribute to global sea level rise. The University of Montana will lead this 3-year project, which aims to improve projections of how rapidly the Greenland ice sheet will respond to climate change by combining physical understanding of...
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will support a collaborative research effort to develop novel artificial intelligence (AI) methods for automated sea ice classification. The University of Colorado will receive $317,922 to apply weakly supervised learning techniques that can effectively utilize existing, irregularly-labeled data to improve the performance of sea ice mapping and monitoring. The project aims to address key...
- This $325,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research at the Massachusetts Institute of Technology (MIT) to advance the understanding and predictive capabilities of two critical Earth system components: aerosol-cloud interactions and Arctic sea ice thermodynamics. The research will leverage artificial intelligence (AI) and a novel Ensemble Kalman Diffusion Guidance (ENKG) framework to learn from satellite...
- The National Science Foundation (NSF) awarded a $658,592 Project Grant under its Geosciences program (CFDA 47.050) to the California Institute of Technology (Caltech) for the collaborative research project "CAIG: Unraveling Aerosol-Cloud Interactions and Sea Ice Thermodynamics with AI and Ensemble Kalman Diffusion Guidance." This 3-year project, with a period of performance from October 1, 2025 to September 30, 2028, aims to advance capabilities for understanding and predicting two...
- This Project Grant award from the National Science Foundation's (NSF) Polar Programs (CFDA 47.078) is focused on advancing predictive understanding of summertime Arctic sea ice cover. The $261,675 award, running from May 1, 2025 to April 30, 2027, aims to develop new models and forecasting capabilities to predict Arctic sea ice changes, particularly during the summer months when sea ice reaches its minimum extent. The project will leverage advanced machine learning methods to better understand...
- The National Science Foundation (NSF) awarded a $805,132 Project Grant under its Geosciences program (CFDA 47.050) to The Regents of the University of Colorado, doing business as the University of Colorado-Denver. The grant, effective from September 1, 2025 to August 31, 2028, will fund collaborative research to address label-data irregularities in sea-ice classification using weakly supervised learning techniques. The project aims to introduce novel AI-driven methods to effectively learn from...
- This Project Grant award from the National Science Foundation's (NSF) Polar Programs (CFDA 47.078) provides $287,230.00 to The Research Foundation For The State University Of New York (RF SUNY) to investigate mechanisms of moisture-driven ice growth in Antarctica during the warmer Miocene climate period. The project uses a combination of climate and ice sheet models along with new geologic data to evaluate how increased precipitation may have led to ice sheet growth despite overall warmer global...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $596,821 to the University of Washington to develop new mathematical models and simulation tools for studying the calving of icebergs from glaciers. The project aims to improve predictions of sea-level rise by advancing the understanding of glacier terminus evolution and iceberg calving, which is a critical but poorly modeled aspect of...
- This $770,209 Project Grant awarded by the National Science Foundation's (NSF) Polar Programs (CFDA 47.078) will create the first comprehensive map of basal temperatures across the entire Antarctic continent. The project will combine decades of airborne radar data with cutting-edge artificial intelligence techniques to infer basal temperatures, a critical gap in current Antarctic ice sheet models. This data will then be integrated into the Ice Sheet and Sea-Level System Model (ISSM) to improve...
This Project Grant award from the National Science Foundation's (NSF) Polar Programs (CFDA 47.078) is funding research to improve the accuracy of forecasts for future sea-level rise. The $782,557 award, active from August 1, 2025 to July 31, 2030, aims to develop efficient artificial intelligence (AI) representations of complex glacier processes to incorporate into ice-sheet models without substantially increasing computational costs. The research will condense three specific glacier processes into efficient modules, produce datasets through AI-based analyses of remote-sensing products to fine-tune and evaluate those modules, and assess their efficacy in improving ice-sheet model predictions. These outcomes are expected to enhance the accuracy of forecasts for future sea-level rise, supporting community planning efforts. The award is held by The Research Foundation for the State University of New York (RF SUNY), which serves as the fiscal agent and sponsored programs administrator for the SUNY system.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $782.6k | 8/19/25 |