Chandi Witharana

Abstract Cryospheric mass movements (CMMs) are accelerating under rapid Arctic and high-mountain warming, yet understanding and predicting them remains challenging due to sparse observations, complex multi-scale processes, and shifting environmental baselines. This Perspective argues that machine learning should advance CMM science not only through prediction, but through transferable and physics-aware inference.

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