Stochastic modeling of subglacial topography exposes uncertainty in water routing at Jakobshavn Glacier
Subglacial topography is an important feature in numerous ice-sheet analyses and can drive the routing of water at the bed. Bed topography is primarily measured with ice-penetrating radar. Significant gaps, however, remain in data coverage that require interpolation. Topographic interpolations are t...
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Cambridge University Press
2021
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ftdoajarticles:oai:doaj.org/article:321e050fffdf4f9c8586960b34b1e852 2023-05-15T16:41:00+02:00 Stochastic modeling of subglacial topography exposes uncertainty in water routing at Jakobshavn Glacier Emma J. MacKie Dustin M. Schroeder Chen Zuo Zhen Yin Jef Caers 2021-02-01T00:00:00Z https://doi.org/10.1017/jog.2020.84 https://doaj.org/article/321e050fffdf4f9c8586960b34b1e852 EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143020000842/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2020.84 0022-1430 1727-5652 https://doaj.org/article/321e050fffdf4f9c8586960b34b1e852 Journal of Glaciology, Vol 67, Pp 75-83 (2021) Glacial geomorphology glacier hydrology radio-echo sounding subglacial processes Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2021 ftdoajarticles https://doi.org/10.1017/jog.2020.84 2023-03-12T01:30:57Z Subglacial topography is an important feature in numerous ice-sheet analyses and can drive the routing of water at the bed. Bed topography is primarily measured with ice-penetrating radar. Significant gaps, however, remain in data coverage that require interpolation. Topographic interpolations are typically made with kriging, as well as with mass conservation, where ice flow dynamics are used to constrain bed geometry. However, these techniques generate bed topography that is unrealistically smooth at small scales, which biases subglacial water flowpath models and makes it difficult to rigorously quantify uncertainty in subglacial drainage patterns. To address this challenge, we adapt a geostatistical simulation method with probabilistic modeling to stochastically simulate bed topography such that the interpolated topography retains the spatial statistics of the ice-penetrating radar data. We use this method to simulate subglacial topography using mass conservation topography as a secondary constraint. We apply a water routing model to each of these realizations. Our results show that many of the flowpaths significantly change with each topographic realization, demonstrating that geostatistical simulation can be useful for assessing confidence in subglacial flowpaths. Article in Journal/Newspaper Ice Sheet Jakobshavn Journal of Glaciology Directory of Open Access Journals: DOAJ Articles Journal of Glaciology 67 261 75 83 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Glacial geomorphology glacier hydrology radio-echo sounding subglacial processes Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
Glacial geomorphology glacier hydrology radio-echo sounding subglacial processes Environmental sciences GE1-350 Meteorology. Climatology QC851-999 Emma J. MacKie Dustin M. Schroeder Chen Zuo Zhen Yin Jef Caers Stochastic modeling of subglacial topography exposes uncertainty in water routing at Jakobshavn Glacier |
topic_facet |
Glacial geomorphology glacier hydrology radio-echo sounding subglacial processes Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
description |
Subglacial topography is an important feature in numerous ice-sheet analyses and can drive the routing of water at the bed. Bed topography is primarily measured with ice-penetrating radar. Significant gaps, however, remain in data coverage that require interpolation. Topographic interpolations are typically made with kriging, as well as with mass conservation, where ice flow dynamics are used to constrain bed geometry. However, these techniques generate bed topography that is unrealistically smooth at small scales, which biases subglacial water flowpath models and makes it difficult to rigorously quantify uncertainty in subglacial drainage patterns. To address this challenge, we adapt a geostatistical simulation method with probabilistic modeling to stochastically simulate bed topography such that the interpolated topography retains the spatial statistics of the ice-penetrating radar data. We use this method to simulate subglacial topography using mass conservation topography as a secondary constraint. We apply a water routing model to each of these realizations. Our results show that many of the flowpaths significantly change with each topographic realization, demonstrating that geostatistical simulation can be useful for assessing confidence in subglacial flowpaths. |
format |
Article in Journal/Newspaper |
author |
Emma J. MacKie Dustin M. Schroeder Chen Zuo Zhen Yin Jef Caers |
author_facet |
Emma J. MacKie Dustin M. Schroeder Chen Zuo Zhen Yin Jef Caers |
author_sort |
Emma J. MacKie |
title |
Stochastic modeling of subglacial topography exposes uncertainty in water routing at Jakobshavn Glacier |
title_short |
Stochastic modeling of subglacial topography exposes uncertainty in water routing at Jakobshavn Glacier |
title_full |
Stochastic modeling of subglacial topography exposes uncertainty in water routing at Jakobshavn Glacier |
title_fullStr |
Stochastic modeling of subglacial topography exposes uncertainty in water routing at Jakobshavn Glacier |
title_full_unstemmed |
Stochastic modeling of subglacial topography exposes uncertainty in water routing at Jakobshavn Glacier |
title_sort |
stochastic modeling of subglacial topography exposes uncertainty in water routing at jakobshavn glacier |
publisher |
Cambridge University Press |
publishDate |
2021 |
url |
https://doi.org/10.1017/jog.2020.84 https://doaj.org/article/321e050fffdf4f9c8586960b34b1e852 |
genre |
Ice Sheet Jakobshavn Journal of Glaciology |
genre_facet |
Ice Sheet Jakobshavn Journal of Glaciology |
op_source |
Journal of Glaciology, Vol 67, Pp 75-83 (2021) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0022143020000842/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2020.84 0022-1430 1727-5652 https://doaj.org/article/321e050fffdf4f9c8586960b34b1e852 |
op_doi |
https://doi.org/10.1017/jog.2020.84 |
container_title |
Journal of Glaciology |
container_volume |
67 |
container_issue |
261 |
container_start_page |
75 |
op_container_end_page |
83 |
_version_ |
1766031433838624768 |