Calibrating calving parameterizations using graph neural network emulators: application to Helheim Glacier, East Greenland
<p>Calving is responsible for the retreat, acceleration, and thinning of numerous tidewater glaciers in Greenland. An accurate representation of this process in ice sheet numerical models is critical to better predict the future response of the ice sheet to climate change. While traditional nu...
Saved in:
| Main Authors: | Y. Koo, G. Cheng, M. Morlighem, M. Rahnemoonfar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
|
| Series: | The Cryosphere |
| Online Access: | https://tc.copernicus.org/articles/19/2583/2025/tc-19-2583-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling
by: Younghyun Koo, et al.
Published: (2025-01-01) -
Grounding Zone of Helheim Glacier, Greenland, From Terrestrial Radar Interferometry
by: Jae Hun Kim, et al.
Published: (2025-04-01) -
Subglacial hydrology modeling predicts high winter water pressure and spatially variable transmissivity at Helheim Glacier, Greenland
by: Aleah Sommers, et al.
Published: (2023-12-01) -
Mechanisms for upstream migration of firn aquifer drainage: preliminary observations from Helheim Glacier, Greenland
by: Jessica Z. Mejia, et al.
Published: (2025-01-01) -
Steep Glacier Bed Knickpoints Mitigate Inland Thinning in Greenland
by: Denis Felikson, et al.
Published: (2021-01-01)