Project Grant 2442200
- 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...
- Georgia Tech Research Corporation was awarded a $780,880 Project Grant from the National Science Foundation Division of Polar Programs under the Polar Programs federal grant program (CFDA 47.078) to develop computational methods for assimilating observational data into ice sheet models. The award period is from January 1, 2024 through December 31, 2028. Under this award, Georgia Tech Research Corporation will create an open-source software package applying transient ensemble Kalman filtering...
- 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...
- The National Science Foundation (NSF) Polar Programs (CFDA 47.078) awarded a $738,807 Project Grant to The Leland Stanford Junior University (Stanford University) to develop new deep-learning algorithms for inverse modeling of ice sheets and ice shelves. The 5-year project, starting on Sep 1, 2025, aims to improve understanding of how polar ice sheets flow, which is critical for predicting future sea-level changes. The research will leverage physics-informed artificial intelligence to extract...
- This Project Grant award from the National Science Foundation's Polar Programs (CFDA 47.078) will fund a collaborative research project to investigate moisture-driven mechanisms of ice growth in Antarctica during the Miocene climate optimum, approximately 17-14.8 million years ago. The $237,667 award, with a performance period from September 1, 2025 to August 31, 2028, will support an interdisciplinary team of researchers across three institutions, led by George Mason University. The project...
- This Project Grant award from the National Science Foundation's Polar Programs (CFDA 47.078) provides $184,798 to The Research Foundation For The State University Of New York (Stony Brook University) to conduct collaborative research on temporal variations in glacial and subglacial structures of Antarctica. The research aims to better understand how seismic properties within and beneath the Antarctic ice sheets change over time, which can provide insights into ice sheet dynamics and responses to...
- 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...
- The National Science Foundation (NSF) awarded a $126,121 Project Grant under the Polar Programs (CFDA 47.078) to The Regents of the University of Colorado (CU) for a 3-year collaborative research project to study temporal variations in glacial and subglacial structures of Antarctica. The project aims to leverage existing seismic data to better understand how the physical properties of the Antarctic ice sheet change over time, including seasonal variations in subglacial hydrological systems....
- This $683,266 Project Grant awarded by the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) aims to reconstruct global ice volume and bottom water temperature over the past 1-3 million years. The project at Brown University will analyze multiple climate proxies, including biomarkers and stable isotopes, using machine learning algorithms to resolve global ice volume and ocean temperature signals. The key objectives are to assess the role of CO2 and ice albedo in global...
- This federal Project Grant award of $370,228, funded by the National Science Foundation's (NSF) Polar Programs (CFDA 47.078), supports collaborative research on the mechanisms of moisture-driven ice growth during the Miocene Climate Optimum, a past period of global warming. The interdisciplinary research team will use advanced Earth system models and geologic data to investigate how increased high-latitude snowfall may have offset Antarctic ice sheet melt during this warmer climate interval....
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 predictions of Antarctic ice flow and sea level rise, which is crucial for coastal communities, infrastructure planning, and climate adaptation worldwide. The project will also develop innovative educational programs to teach high school students about polar science and AI applications, potentially reaching thousands of students through the Science Olympiad competition and training the next generation of climate scientists. The award is effective from September 1, 2025 through August 31, 2030 and will be executed by the Georgia Tech Research Corporation, a non-profit research organization and state institution of higher education.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $770.2k | 7/30/25 |