Subglacial Conduit Roughness: Insights From Computational Fluid Dynamics Models
Flow resistance in subglacial conduits regulates the basal water pressure and sliding speeds of glaciers by controlling drainage efficiency and conduit enlargement and closure. Flow dynamics within subglacial conduits, however, remain poorly understood due to limited accessibility. Here we report th...
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Online Access: | https://digitalcommons.usf.edu/kip_articles/5258 https://doi.org/10.1029/2018GL079590 |
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ftunisfloridatam:oai:digitalcommons.usf.edu:kip_articles-6257 2023-05-15T16:21:56+02:00 Subglacial Conduit Roughness: Insights From Computational Fluid Dynamics Models Chen, Yunxiang Liu, Xiaofeng Gulley, Jason D. Mankoff, Kenneth D. 2018-10-09T07:00:00Z https://digitalcommons.usf.edu/kip_articles/5258 https://doi.org/10.1029/2018GL079590 unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/kip_articles/5258 https://doi.org/10.1029/2018GL079590 KIP Articles Subglacial Conduit Roughness Insight Computational Fluid Dynamics Models text 2018 ftunisfloridatam https://doi.org/10.1029/2018GL079590 2022-10-27T17:50:48Z Flow resistance in subglacial conduits regulates the basal water pressure and sliding speeds of glaciers by controlling drainage efficiency and conduit enlargement and closure. Flow dynamics within subglacial conduits, however, remain poorly understood due to limited accessibility. Here we report the results of the first computational fluid dynamics simulations of flow within a realistic subglacial conduit beneath Hansbreen, a polythermal glacier in Svalbard, Norway. The simulated friction factor is 2.34 ± 0.05, which is around 5 to 230 times greater than values (0.01–0.5) commonly used in glacier hydrological modeling studies. Head losses from sinuosity and cross‐sectional variations dominate flow resistance (∼ 94%), whereas surface roughness from rocks and ice features contributes only a small portion (∼6%). Most glacier hydrology models neglect head losses due to sinuosity and cross‐sectional variations and thus severely underestimate flow resistance, overestimating the conduit peak effective pressure by 2 times and underestimating the conduit enlargement area by 3.4 times, respectively. Text glacier glacier Svalbard Digital Commons University of South Florida (USF) Svalbard Norway Hansbreen ENVELOPE(15.650,15.650,77.075,77.075) Geophysical Research Letters 45 20 |
institution |
Open Polar |
collection |
Digital Commons University of South Florida (USF) |
op_collection_id |
ftunisfloridatam |
language |
unknown |
topic |
Subglacial Conduit Roughness Insight Computational Fluid Dynamics Models |
spellingShingle |
Subglacial Conduit Roughness Insight Computational Fluid Dynamics Models Chen, Yunxiang Liu, Xiaofeng Gulley, Jason D. Mankoff, Kenneth D. Subglacial Conduit Roughness: Insights From Computational Fluid Dynamics Models |
topic_facet |
Subglacial Conduit Roughness Insight Computational Fluid Dynamics Models |
description |
Flow resistance in subglacial conduits regulates the basal water pressure and sliding speeds of glaciers by controlling drainage efficiency and conduit enlargement and closure. Flow dynamics within subglacial conduits, however, remain poorly understood due to limited accessibility. Here we report the results of the first computational fluid dynamics simulations of flow within a realistic subglacial conduit beneath Hansbreen, a polythermal glacier in Svalbard, Norway. The simulated friction factor is 2.34 ± 0.05, which is around 5 to 230 times greater than values (0.01–0.5) commonly used in glacier hydrological modeling studies. Head losses from sinuosity and cross‐sectional variations dominate flow resistance (∼ 94%), whereas surface roughness from rocks and ice features contributes only a small portion (∼6%). Most glacier hydrology models neglect head losses due to sinuosity and cross‐sectional variations and thus severely underestimate flow resistance, overestimating the conduit peak effective pressure by 2 times and underestimating the conduit enlargement area by 3.4 times, respectively. |
format |
Text |
author |
Chen, Yunxiang Liu, Xiaofeng Gulley, Jason D. Mankoff, Kenneth D. |
author_facet |
Chen, Yunxiang Liu, Xiaofeng Gulley, Jason D. Mankoff, Kenneth D. |
author_sort |
Chen, Yunxiang |
title |
Subglacial Conduit Roughness: Insights From Computational Fluid Dynamics Models |
title_short |
Subglacial Conduit Roughness: Insights From Computational Fluid Dynamics Models |
title_full |
Subglacial Conduit Roughness: Insights From Computational Fluid Dynamics Models |
title_fullStr |
Subglacial Conduit Roughness: Insights From Computational Fluid Dynamics Models |
title_full_unstemmed |
Subglacial Conduit Roughness: Insights From Computational Fluid Dynamics Models |
title_sort |
subglacial conduit roughness: insights from computational fluid dynamics models |
publisher |
Digital Commons @ University of South Florida |
publishDate |
2018 |
url |
https://digitalcommons.usf.edu/kip_articles/5258 https://doi.org/10.1029/2018GL079590 |
long_lat |
ENVELOPE(15.650,15.650,77.075,77.075) |
geographic |
Svalbard Norway Hansbreen |
geographic_facet |
Svalbard Norway Hansbreen |
genre |
glacier glacier Svalbard |
genre_facet |
glacier glacier Svalbard |
op_source |
KIP Articles |
op_relation |
https://digitalcommons.usf.edu/kip_articles/5258 https://doi.org/10.1029/2018GL079590 |
op_doi |
https://doi.org/10.1029/2018GL079590 |
container_title |
Geophysical Research Letters |
container_volume |
45 |
container_issue |
20 |
_version_ |
1766009906482118656 |