| 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. Copyright 1996 by the American Geophysical Union. |
| Genre: | Article |
| ProdID: | 70018649 |
| Citation Author: | Bahr, D. B.; Peckham, S. D. |
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| Citation End Page: | 25521 |
| Citation Issue: | B11 |
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| Citation Language: | English |
| Citation Larger Work Title: | Journal of Geophysical Research B: Solid Earth |
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| Citation Number Of Pages: | 11 |
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| Citation Search Results Text: | Observations and analysis of self-similar branching topology in glacier networks; 1996; Article; Journal; Journal of Geophysical Research B: Solid Earth; Bahr, D. B.; Peckham, S. D. |
| Citation Start Page: | 25511 |
| Citation Volume: | 101 |
| Citation Year: | 1996 |
| Type: | citation/reference |
| Text: | Observations and analysis of self-similar branching topology in glacier networks; 1996; Article; Journal; Journal of Geophysical Research B: Solid Earth; Bahr, D. B.; Peckham, S. D. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Mon, 1 Jan 1996 00:00 -0600 |
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