Data-Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics-Informed Neural Networks: Case Study on Rutford Ice Stream, Antarctica
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...
Main Authors: | , , |
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Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
American Geophysical Union
2021
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Subjects: | |
Online Access: | https://doi.org/10.1029/2021MS002621 |