Presenters-0668

From CSDMS
CSDMS 2025: Exploring Earth's Surface with Models, Data & AI


Accelerating Glacier and Surface Processes Modeling with Machine Learning and New Python Libraries



Irina Overeem

University of Colorado, Boulder, United States
irina.overeem@colorado.edu
Billy Armstrong Appalachian State University United States
Ethan Pierce Dartmouth College United States


Abstract
Join us for a hands-on clinic exploring the intersection of glacier mass balance, glacier dynamics, and surface processes modeling. We will discuss recent python libraries to model glacier processes for surface processes applications. We will introduce the Instructed Glacier Model (IGM), a machine learning-based glacier dynamics emulator, it provides significant speed-up while maintaining high process accuracy. IGM opens up new research possibilities for longterm, landscape scale simulations. We will demonstrate several applications of combined glacier and surface processes modeling. We will then proceed to run a tutorial on running combined models of glacier and sedimentary processes using these existing python libraries. This session is targeted to researchers interested in glacier impacts on downstream landscapes, glacial geomorphology, and integrating new python libraries/glacial models into their earth surface processes modeling research.

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Of interest for:
  • Terrestrial Working Group
  • Coastal Working Group
  • Marine Working Group
  • Hydrology Focus Research Group
  • Critical Zone Focus Research Group
  • Human Dimensions Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Coastal Vulnerability Initiative
  • Continental Margin Initiative