Sep 30, 2021, 12:30 pm – 1:30 pm
Guyot 220 & Zoom
Because there are few direct observations of the ice-bed interface, numerical modeling is a useful tool to quantify subglacial processes. For decades, the Glen flow law has been the most widely-accepted constitutive relation for modeling ice flow. Though the Glen law captures the temperature-dependent, nonlinear viscosity of ice, it does not explicitly incorporate ice grain size, which has been shown in laboratory experiments to play a significant role in ice rheology. To compensate for the lack of an explicit grain size term, ice models often utilize an “enhancement factor”, which modifies the flow law to better match observations, but does not provide insight into the physical processes that could be at play. Using a grain size sensitive rheology that incorporates grain size evolution due to dynamic recrystallization and grain growth, we model the effects of seasonal variations in subglacial hydrology in a 2-D vertical cross-section of ice flow. As subglacial water reduces the frictional coupling between the ice and the bed, we simulate the presence of water beneath the ice during the melt season as patches of free-slip. We explore a range of patch sizes and geometries and investigate their role on ice surface velocities and grain size within the ice. We extract summer and winter surface velocities and compare them to observations taken on the western margin of the Greenland Ice Sheet. We find that realistic winter ice surface velocities are achievable by using a grain-size sensitive flow law without the introduction of an enhancement factor. Further, using this methodology we ponder the possibility of making first-order estimates of the extent and configuration of the subglacial hydrologic system that are required to match observed summer velocities.
Please note EGGS will be in Guyot Room 220 and through Zoom. If you are attending the seminar in Guyot 220, you must sign up.