Machine-Learning-in-Glaciology-Workshop/ML_for_Glacier_Modelling
Theory and presentations on Machine learning applied to glacier modelling
This project helps glaciologists and researchers model glacier mass balance changes by applying machine learning techniques. It takes climate, topographical, and existing mass balance data for glaciers and generates predictive models for multi-annual mass balance changes. The primary users are glaciology students and researchers interested in integrating machine learning with physical constraints.
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Use this if you are a glaciologist looking to build and understand physics-informed machine learning models for predicting glacier mass balance, especially for Scandinavian glaciers.
Not ideal if you need a pre-built, ready-to-use application for glacier modeling without engaging in the underlying machine learning development or if your primary interest is outside glaciology.
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Apr 25, 2025
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