Physics-aware machine learning for glacier ice thickness estimation: a case study for Svalbard
<p>The ice thickness of the world's glaciers is mostly unmeasured, and physics-based models to reconstruct ice thickness cannot always deliver accurate estimates. In this study, we use deep learning paired with physical knowledge to generate ice thickness estimates for all glaciers of Spi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-02-01
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| Series: | The Cryosphere |
| Online Access: | https://tc.copernicus.org/articles/19/645/2025/tc-19-645-2025.pdf |
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