Observations and analysis of self-similar branching topology in glacier networks
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Abstract
Glaciers, like rivers, have a branching structure which can be characterized by topological trees or networks. Probability distributions of various topological quantities in the networks are shown to satisfy the criterion for self-similarity, a symmetry structure which might be used to simplify future models of glacier dynamics. Two analytical methods of describing river networks, Shreve's random topology model and deterministic self-similar trees, are applied to the six glaciers of south central Alaska studied in this analysis. Self-similar trees capture the topological behavior observed for all of the glaciers, and most of the networks are also reasonably approximated by Shreve's theory.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Observations and analysis of self-similar branching topology in glacier networks |
Series title | Journal of Geophysical Research B: Solid Earth |
DOI | 10.1029/96JB02536 |
Volume | 101 |
Issue | B11 |
Year Published | 1996 |
Language | English |
Publisher | American Geophysical Union |
Description | 11 p. |
First page | 25511 |
Last page | 25521 |
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