Machine learning for cryospheric mass movements: challenges and pathways

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. We outline a roadmap centered on benchmark datasets, cross-scale generalization, and transdisciplinary collaboration for scientifically grounded hazard assessment.

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Publication Details

Journal
npj natural hazards.
Published
2026-04-27
DOI
https://doi.org/10.1038/s44304-026-00206-7
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine learning for cryospheric mass movements: challenges and pathways

Louise M. Vick, Chandi Witharana, G. J. Wolken, Lukas U. Arenson et al.
npj natural hazards.
Cryospheric studies and observations
article

Machine learning for cryospheric mass movements: challenges and pathways

Louise M. Vick, Chandi Witharana, G. J. Wolken, Lukas U. Arenson, Alexandra Runge, S. Nagendra, Shemin Ge, te pei, Chaopeng Shen, Yingli Tian, Charlotte Pearson, Tong Qiu, Joseph Young, Nicole Guinn, Louise Farquharson, Michael E. West, Helena Bergstadt, Margaret Darrow, Ingmar Nitze
article en

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. We outline a roadmap centered on benchmark datasets, cross-scale generalization, and transdisciplinary collaboration for scientifically grounded hazard assessment.

npj natural hazards.Vol. 3(1)
City College of New York (US), Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE), Pennsylvania State University (US), University of Connecticut (US), University of Alaska Fairbanks (US), University of Sussex (GB), University of Colorado Boulder (US), University of Utah (US), Alaska Department of Natural Resources (US), BGC Engineering (Canada) (CA), Landesklinikum Korneuburg (AT), GFZ Helmholtz Centre for Geosciences (DE), Alaska Division of Geological and Geophysical Surveys, University of Houston (US), Stony Brook University (US), Wilfrid Laurier University (CA), UiT The Arctic University of Norway (NO)
National Science Foundation, National Park Service
Climate action
Openalex Percentile: Top 9%
Cryospheric studies and observations
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