Abstract

Tidewater glaciers are major contributors to sea level rise, but due to their non-linear relationship with climate variation, their dynamic flux to the world’s oceans is not well-constrained. Prognostic models are therefore crucial for illuminating the controls on their advance and retreat behavior and informing projections of rising seas. Here, a numerical model of ice flow is leveraged to simulate the historic advance of Columbia Glacier, a large tidewater glacier in south-central Alaska. Glacier accumulation begins at high elevations, then the glacier flows downhill into the ocean, where iceberg calving is initiated. A morainal shoal is built and maintained at the terminus, which restricts calving and enables advance into deep water. A new, annually-resolved, multi-century reconstruction of surface mass balance derived from tree rings forces glacial expansion. Exhumed trees overrun by Columbia Glacier constrain the timing of the glacier’s historic advance, offering a series of observed terminus positions with which to validate the modeled terminus positions. In agreement with previous work, predicted terminus positions are relatively insensitive to mass balance variation. A stronger fit between observed and predicted terminus positions is achieved when the shoal volume is decreased as a result of enhanced sediment diffusion along fjord tributaries. However, the model in its present form likely underestimates climate sensitivity to an unknown degree due to artificially low sliding velocities. These results demonstrate the utility of prognostic glaciological models when coupled with extended records of paleoclimate and terminus positions and shed light on the complex dynamics of a consequential glacier.

Advisor

Alley, Karen

Department

Earth Sciences

Disciplines

Earth Sciences | Geomorphology | Glaciology

Keywords

tidewater glacier, tidewater glacier cycle, numerical model, tree rings, mass balance

Publication Date

2019

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

Share

COinS
 

© Copyright 2019 Joshua Charlton