Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada
Several global datasets of glacier thickness exist, but the number of observations from western Canada are sparse and spatially biased. To supplement these limited observations, we measured ice thickness with ice penetrating radar on five glaciers in the Columbia Mountains, Canada. Our radar surveys...
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Cambridge University Press
2020
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ftdoajarticles:oai:doaj.org/article:891dd7fa28c74bf1be324ec6d6b2b3e2 2023-05-15T16:57:36+02:00 Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada Ben M. Pelto Fabien Maussion Brian Menounos Valentina Radić Maurice Zeuner 2020-12-01T00:00:00Z https://doi.org/10.1017/jog.2020.75 https://doaj.org/article/891dd7fa28c74bf1be324ec6d6b2b3e2 EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143020000751/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2020.75 0022-1430 1727-5652 https://doaj.org/article/891dd7fa28c74bf1be324ec6d6b2b3e2 Journal of Glaciology, Vol 66, Pp 1051-1063 (2020) Ice thickness measurements glacier modeling glacier volume ground-penetrating radar mountain glaciers Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2020 ftdoajarticles https://doi.org/10.1017/jog.2020.75 2023-03-12T01:30:57Z Several global datasets of glacier thickness exist, but the number of observations from western Canada are sparse and spatially biased. To supplement these limited observations, we measured ice thickness with ice penetrating radar on five glaciers in the Columbia Mountains, Canada. Our radar surveys, when combined with previous surveys for two glaciers in the Rocky Mountains, total 182 km of transects that represent 34 672 point measurements of ice thickness. Our measurements are, on average, 38% thicker than previous surface inversion model estimates of glacier thickness. Using our measurements within a cross-validation scheme, we model ice thickness with the Open Global Glacier Model (OGGM) driven with recent observations of surface mass balance and glacier elevation. We calibrated OGGM ice thickness by optimizing the ice creep parameter in the model. The optimized OGGM yields an ice volume for Columbia Basin of 122.5 ± 22.4 km3 for the year 2000, which is 23% greater than the range of previous estimates. At current rates of glacier mass loss for this region, glaciers would disappear from the basin in about 65–80 years. Disappearance of these glaciers will negatively affect the basin's surface hydrology, freshwater availability and aquatic ecosystems. Article in Journal/Newspaper Journal of Glaciology Directory of Open Access Journals: DOAJ Articles Canada Columbia Mountains ENVELOPE(-63.852,-63.852,-70.197,-70.197) Journal of Glaciology 66 260 1051 1063 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ice thickness measurements glacier modeling glacier volume ground-penetrating radar mountain glaciers Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
Ice thickness measurements glacier modeling glacier volume ground-penetrating radar mountain glaciers Environmental sciences GE1-350 Meteorology. Climatology QC851-999 Ben M. Pelto Fabien Maussion Brian Menounos Valentina Radić Maurice Zeuner Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada |
topic_facet |
Ice thickness measurements glacier modeling glacier volume ground-penetrating radar mountain glaciers Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
description |
Several global datasets of glacier thickness exist, but the number of observations from western Canada are sparse and spatially biased. To supplement these limited observations, we measured ice thickness with ice penetrating radar on five glaciers in the Columbia Mountains, Canada. Our radar surveys, when combined with previous surveys for two glaciers in the Rocky Mountains, total 182 km of transects that represent 34 672 point measurements of ice thickness. Our measurements are, on average, 38% thicker than previous surface inversion model estimates of glacier thickness. Using our measurements within a cross-validation scheme, we model ice thickness with the Open Global Glacier Model (OGGM) driven with recent observations of surface mass balance and glacier elevation. We calibrated OGGM ice thickness by optimizing the ice creep parameter in the model. The optimized OGGM yields an ice volume for Columbia Basin of 122.5 ± 22.4 km3 for the year 2000, which is 23% greater than the range of previous estimates. At current rates of glacier mass loss for this region, glaciers would disappear from the basin in about 65–80 years. Disappearance of these glaciers will negatively affect the basin's surface hydrology, freshwater availability and aquatic ecosystems. |
format |
Article in Journal/Newspaper |
author |
Ben M. Pelto Fabien Maussion Brian Menounos Valentina Radić Maurice Zeuner |
author_facet |
Ben M. Pelto Fabien Maussion Brian Menounos Valentina Radić Maurice Zeuner |
author_sort |
Ben M. Pelto |
title |
Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada |
title_short |
Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada |
title_full |
Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada |
title_fullStr |
Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada |
title_full_unstemmed |
Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada |
title_sort |
bias-corrected estimates of glacier thickness in the columbia river basin, canada |
publisher |
Cambridge University Press |
publishDate |
2020 |
url |
https://doi.org/10.1017/jog.2020.75 https://doaj.org/article/891dd7fa28c74bf1be324ec6d6b2b3e2 |
long_lat |
ENVELOPE(-63.852,-63.852,-70.197,-70.197) |
geographic |
Canada Columbia Mountains |
geographic_facet |
Canada Columbia Mountains |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
Journal of Glaciology, Vol 66, Pp 1051-1063 (2020) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0022143020000751/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2020.75 0022-1430 1727-5652 https://doaj.org/article/891dd7fa28c74bf1be324ec6d6b2b3e2 |
op_doi |
https://doi.org/10.1017/jog.2020.75 |
container_title |
Journal of Glaciology |
container_volume |
66 |
container_issue |
260 |
container_start_page |
1051 |
op_container_end_page |
1063 |
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1766049159609057280 |