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Abstract: Machine Learning Based Uncertainty Quantification for Ice Sheet Basal Friction Inversion (AGU25)

Machine Learning Based Uncertainty Quantification for Ice Sheet Basal Friction Inversion

Sinan He, Stanford University, Stanford, CA, United States, Ching-Yao Lai, Stanford University, Department of Geophysics, Stanford, United States, Facundo Sapienza, University of California Berkeley, Statistics, Berkeley, United States and Mauro Perego, Sandia National Laboratories, Albuquerque, United States
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