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Douglas R. MacAyeal

Researcher at University of Chicago

Publications -  141
Citations -  8041

Douglas R. MacAyeal is an academic researcher from University of Chicago. The author has contributed to research in topics: Ice shelf & Ice sheet. The author has an hindex of 47, co-authored 138 publications receiving 7464 citations. Previous affiliations of Douglas R. MacAyeal include Portland State University & Geophysical Fluid Dynamics Laboratory.

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Binge/purge oscillations of the Laurentide Ice Sheet as a cause of the North Atlantic's Heinrich events

TL;DR: In this paper, the authors proposed a free oscillation mechanism for the Laurentide ice sheet to explain the Heinrich events, which occurred approximately every 7,000 years over Hudson Bay and Hudson Strait.
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Large‐scale ice flow over a viscous basal sediment: Theory and application to ice stream B, Antarctica

TL;DR: In this article, the authors compare the observed flow of ice stream B to finite element simulations incorporating a viscous basal till and conclude that a simple till is sufficient to explain the current velocity profile.
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Ice‐rafted debris associated with binge/purge oscillations of the Laurentide Ice Sheet

TL;DR: This paper investigated a simple conceptual model of ice stream instability (the binge/purge model) to suggest ways in which the ice stream could have entrained sufficient debris to account for the estimated mass of IRD associated with a typical Heinrich IRD layer in the North Atlantic.
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Irregular oscillations of the West Antarctic ice sheet

TL;DR: In this paper, a model simulation of the West Antarctic ice sheet suggests that sporadic, perhaps chaotic, collapse (complete mobilization) of the ice sheet occurred throughout the past one million years.
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A tutorial on the use of control methods in ice-sheet modeling

TL;DR: In this paper, the underlying dynamics of the model are inverted, allowing model-tuning adjustments to be represented explicitly in terms of model/observation misfit, and the tuning parameters and boundary conditions are assured to give the best possible fit between model and observation.