Patterns of valley incision beneath the Greenland Ice Sheet revealed using automated mapping and classification

Paxman, G. J. G.

Abstract

The Greenland Ice Sheet covers an area of 1.7 million km2, equivalent to ∼79 % of the surface of Kalaallit Nunaat (Greenland) and ∼1.2 % of the Earth's land surface. The macro-scale geomorphology beneath the ice can provide a valuable record of past ice sheet behaviour, particularly during warm periods that may serve as analogues for present and future climates. However, despite extensive mapping of the landscape by airborne radar surveying, Greenland's subglacial geomorphology remains comparatively understudied. Here we construct an automated workflow to identify, extract, and quantify the morphology of valley cross-sectional profiles across Greenland, as observed in NASA Operation IceBridge radar data. We identify 5335 cross-sectional profiles and apply a supervised machine learning method to classify valleys based on their morphological similarity to those formed by glacial or fluvial incision elsewhere in the Northern Hemisphere. Approximately two thirds of the valleys are classified as ‘glacial’, some of which reflect active incision at the modern ice sheet margin, whereas others are situated beneath cold-based, slow-moving ice, indicating that they were incised under a different ice configuration earlier in Greenland's glacial history. The presence of ‘fluvial’ valleys in the low-lying interior of northern Greenland and in mountainous southern Greenland suggests parts of the inherited landscape formed under ice-free conditions during pre- or inter-glacial times have been preserved due to negligible long-term subglacial erosion rates. Some low-lying catchments show hallmarks of a combination of fluvial, glacial, and glacio-fluvial incision, hinting at complex interplays between valley-forming processes over the history of the Greenland Ice Sheet.

Citation

Paxman, G. J. G. (2023). Patterns of valley incision beneath the Greenland Ice Sheet revealed using automated mapping and classification. Geomorphology, 436(September), Article 108778. https://doi.org/10.1016/j.geomorph.2023.108778

• Journal Article Type: Article
• Acceptance Date: Jun 5, 2023
• Online Publication Date: Jun 9, 2023
• Publication Date: Jun 16, 2023
• Deposit Date: Jun 5, 2023
• Publicly Available Date: Aug 8, 2023
• Journal: Geomorphology
• Print ISSN: 0169-555X
• Electronic ISSN: 0094-8659
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 436
• Issue: September
• Article Number: 108778
• DOI: https://doi.org/10.1016/j.geomorph.2023.108778
• Public URL: https://durham-repository.worktribe.com/output/1172831