Data-Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics-Informed Neural Networks: Case Study on Rutford Ice Stream, Antarctica

• Main Authors: Riel, B., Minchew, B., Bischoff, T.
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: American Geophysical Union 2021
• Subjects: Glacier dynamics; Physics-informed neural networks; Glacier basal mechanics; Remote sensing; Machine learning; Rutford; Rutford Ice Stream; Antarc*; Antarctica
• Online Access: https://doi.org/10.1029/2021MS002621

Reliable projections of sea-level rise depend on accurate representations of how fast-flowing glaciers slip along their beds. The mechanics of slip are often parameterized as a constitutive relation (or "sliding law") whose proper form remains uncertain. Here, we present a novel deep learn...