Project Grant 2530968
- 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 (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...
- The National Science Foundation (NSF) Directorate for Geosciences (NSF/GEO) and the National Environment Research Council (NERC) of the United Kingdom awarded a $259,978 Project Grant to Trustees of Dartmouth College under the NSF/GEO-NERC Lead Agency Opportunity (CFDA 47.079 - Office of International Science and Engineering). The award, effective August 1, 2025 through July 31, 2028, will address critical knowledge gaps regarding 21st century ice loss from Antarctica. The project will combine...
- This Project Grant award from the National Science Foundation's Polar Programs (CFDA 47.078) will provide $922,103 to Dartmouth College to characterize the thermomechanics of subglacial systems and improve understanding of how water moves beneath glaciers and ice sheets. The research aims to resolve discrepancies between observations and existing subglacial hydrology models by incorporating subglacial thermomechanics, particularly the process of ice infiltration into sediments. The project...
- The National Science Foundation Division of Polar Programs awarded Dartmouth College a $175,229 Project Grant under the Polar Programs federal grant program (CFDA 47.078) to conduct research titled "COLLABORATIVE RESEARCH: GRATE - INTEGRATING DATA AND MODELING TO QUANTIFY RATES OF GREENLAND ICE SHEET CHANGE, HOLOCENE TO FUTURE" from September 1, 2021 through August 31, 2025. Under this award, Dartmouth College will integrate data and modeling to quantify historical and future rates...
- This Project Grant from the National Science Foundation supports collaborative research titled "Global Changes, Local Impacts: Study of Glacial Fjords, Ecosystems and Communities in Greenland" from January 1, 2022 to December 31, 2026 with funding of $326,947. The research is conducted under the NSF's Geosciences program (CFDA 47.050), which aims to strengthen understanding of the integrated Earth system through basic research in atmospheric, earth, and ocean sciences. Trustees of...
- The National Science Foundation awarded a $2.8 million project grant under the Geosciences program (CFDA 47.050) to Virginia Polytechnic Institute and State University for the period of October 1, 2022 to December 31, 2026. The project aims to map changes in Greenland resulting from ice thinning and explore emerging landslide and hazard risks. Researchers will integrate local observations from Greenlandic communities with remote sensing data to understand how hazards evolve over time. Advanced...
- This $411,096 federal Project Grant award was provided by the National Science Foundation's Polar Programs (CFDA 47.078) to The Leland Stanford Junior University (Stanford University). The project aims to utilize machine learning and physics-based models to map and understand how surface meltwater on the Greenland ice sheet reaches the bedrock, which can impact ice sheet dynamics and response to climate change. Key products and services to be delivered include: Development of open-source deep...
- This Project Grant award, funded by the National Science Foundation's (NSF) Polar Programs (CFDA 47.078), will support a collaborative research project to quantify the physics of ice-ocean interactions at the interface of marine-terminating glaciers in Greenland. The $372,486 award, effective September 1, 2025 through August 31, 2029, will integrate direct measurements of submarine melt rates and near-ice boundary-layer dynamics with numerical simulations to improve next-generation climate...
- This $191,725 National Science Foundation Project Grant supports research at Lehigh University to develop artificial intelligence solutions for navigating and analyzing big data from polar ice sheets. Funded through the NSF's Computer and Information Science and Engineering program, the one-year award will investigate deep learning and hybrid machine learning approaches to automatically mine and understand heterogeneous datasets collected by the Center for Remote Sensing of Ice Sheets....
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 work seeks to reduce uncertainty in sea level rise projections, which are crucial for coastal planning and policy decisions. The project will also train the next generation of glaciology and machine learning researchers through a summer school program and contribute open-source software tools to the broader scientific community. The award period runs from January 1, 2026 through December 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $505.0k | 7/16/25 |