Primary Convener:
Caitlyn Florentine, USGS Northern Rocky Mountain Science Center

Convener:
Lauren Andrews, NASA Goddard Space Flight Center
Brian Menounos, University of Northern British Columbia
Gwenn Flowers, Simon Fraser University

Chair:
Aman KC, Boise State University
Claire Wilson, Carnegie Mellon University

Predicting the consequences of glacier and ice sheet change requires innovative fusion of observations and models. Atmospheric, oceanic, and ice dynamic processes yield complex patterns of land ice surface-elevation change that must be decoded to parse the surface mass balance, flux divergence, firn densification, bed erosion, subglacial sediment deposition, and subglacial hydrology signals. This session invites contributions that (1) apply machine learning/AI, (2) address unresolved scientific problems that impede the precision of glacier and ice sheet projections, including glacier sliding/surging, firn densification, albedo feedback, englacial hydrology, and glacier area change detection, and (3) advance our understanding of the physical processes that drive land ice elevation change. This session unites observations and models of glacier and ice sheet change to support of internationally coordinated efforts, including the Randolph Glacier Inventory (RGI), Glacier Land Ice Measurements from Space (GLIMS), and Glacier Mass Balance Intercomparison Exercise (GlaMBIE-2).

Index Terms
0720 Glaciers
0726 Ice sheets
0758 Remote sensing
0774 Dynamics

Neighborhoods:
3. Earth Covering