Machine-Learning-in-Glaciology-Workshop/Project_MB_Regression
Tutorial to learn how to train different machine learning methods to model glacier mass balance.
This project helps glaciologists and Earth scientists apply machine learning to predict glacier mass balance. It takes readily available climate, topographical, and observed mass balance data for glaciers worldwide. The output is a trained regression model that estimates multi-annual glacier mass balance changes. This is intended for glaciology researchers and students who want to incorporate machine learning into their studies of glacier behavior.
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Use this if you are a glaciologist or Earth scientist looking to learn how to apply regression machine learning models to analyze and predict glacier mass balance.
Not ideal if you are solely interested in using pre-built glacier models without understanding the underlying machine learning implementation.
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Jupyter Notebook
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MIT
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Sep 08, 2024
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