This $127,350 project grant from the National Science Foundation Division of Polar Programs, under the Polar Programs federal grant program (CFDA 47.078), will support collaborative research to improve modeling of terminus ablation for Greenland's outlet glaciers. The researchers will use machine learning to analyze glaciological observations and better understand the variables influencing the ice-ocean boundary. They will develop an equation to represent ice-ocean interactions in an ice sheet model, which will be used to determine future changes to the ice sheet forced by the ocean. The machine learning model of terminus positions will also be used to improve projections of outlet glacier mass change. The University of Kansas Center for Research Inc. is the primary awardee, with the sub-awardee being the University of Kansas. The period of performance is August 15, 2022 through July 31, 2025. Publicly available data products and methods produced will be useful to the broader scientific community for modeling sea level rise from Greenland.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $127.4k | 8/11/22 |