A gradient-boosted tree framework to model the ice thickness of the world's glaciers (IceBoost v1.1)
<p>Knowledge of glacier ice volumes is crucial for constraining future sea level potential, evaluating freshwater resources, and assessing impacts on societies, from regional to global. Motivated by the disparity in existing ice volume estimates, we present IceBoost, a global machine learning framew...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Copernicus Publications
2025-05-01
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| Schriftenreihe: | Geoscientific Model Development |
| Online-Zugang: | https://gmd.copernicus.org/articles/18/2545/2025/gmd-18-2545-2025.pdf |
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