How sensitive are mountain glaciers to climate change? Insights from a block model
Simple models of glacier volume evolution are important in understanding features of glacier response to climate change, due to the scarcity of data adequate for running more complex models on a global scale. Two quantities of interest in a glacier's response to climate changes are its response...
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Cambridge University Press
2018
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Online Access: | https://doi.org/10.1017/jog.2018.15 https://doaj.org/article/be068a1450cc45dda5005bcfbc71e06d |
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ftdoajarticles:oai:doaj.org/article:be068a1450cc45dda5005bcfbc71e06d 2023-05-15T16:57:36+02:00 How sensitive are mountain glaciers to climate change? Insights from a block model EVIATAR BACH VALENTINA RADIĆ CHRISTIAN SCHOOF 2018-04-01T00:00:00Z https://doi.org/10.1017/jog.2018.15 https://doaj.org/article/be068a1450cc45dda5005bcfbc71e06d EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143018000151/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2018.15 0022-1430 1727-5652 https://doaj.org/article/be068a1450cc45dda5005bcfbc71e06d Journal of Glaciology, Vol 64, Pp 247-258 (2018) climate change glacier modeling glaciological model experiments mountain glaciers Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2018 ftdoajarticles https://doi.org/10.1017/jog.2018.15 2023-03-12T01:30:59Z Simple models of glacier volume evolution are important in understanding features of glacier response to climate change, due to the scarcity of data adequate for running more complex models on a global scale. Two quantities of interest in a glacier's response to climate changes are its response time and its volume sensitivity to changes in the equilibrium line altitude (ELA). We derive a simplified, computationally inexpensive model of glacier volume evolution based on a block model with volume–area–length scaling. After analyzing its steady-state properties, we apply the model to each mountain glacier worldwide and estimate regionally differentiated response times and sensitivities to ELA changes. We use a statistical method from the family of global sensitivity analysis methods to determine the glacier quantities, geometric and climatic, that most influence the model output. The response time is dominated by the climatic setting reflected in the mass-balance gradient in the ablation zone, followed by the surface slope, while volume sensitivity is mainly affected by glacier size, followed by the surface slope. Article in Journal/Newspaper Journal of Glaciology Directory of Open Access Journals: DOAJ Articles Ela ENVELOPE(9.642,9.642,63.170,63.170) Journal of Glaciology 64 244 247 258 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
climate change glacier modeling glaciological model experiments mountain glaciers Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
climate change glacier modeling glaciological model experiments mountain glaciers Environmental sciences GE1-350 Meteorology. Climatology QC851-999 EVIATAR BACH VALENTINA RADIĆ CHRISTIAN SCHOOF How sensitive are mountain glaciers to climate change? Insights from a block model |
topic_facet |
climate change glacier modeling glaciological model experiments mountain glaciers Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
description |
Simple models of glacier volume evolution are important in understanding features of glacier response to climate change, due to the scarcity of data adequate for running more complex models on a global scale. Two quantities of interest in a glacier's response to climate changes are its response time and its volume sensitivity to changes in the equilibrium line altitude (ELA). We derive a simplified, computationally inexpensive model of glacier volume evolution based on a block model with volume–area–length scaling. After analyzing its steady-state properties, we apply the model to each mountain glacier worldwide and estimate regionally differentiated response times and sensitivities to ELA changes. We use a statistical method from the family of global sensitivity analysis methods to determine the glacier quantities, geometric and climatic, that most influence the model output. The response time is dominated by the climatic setting reflected in the mass-balance gradient in the ablation zone, followed by the surface slope, while volume sensitivity is mainly affected by glacier size, followed by the surface slope. |
format |
Article in Journal/Newspaper |
author |
EVIATAR BACH VALENTINA RADIĆ CHRISTIAN SCHOOF |
author_facet |
EVIATAR BACH VALENTINA RADIĆ CHRISTIAN SCHOOF |
author_sort |
EVIATAR BACH |
title |
How sensitive are mountain glaciers to climate change? Insights from a block model |
title_short |
How sensitive are mountain glaciers to climate change? Insights from a block model |
title_full |
How sensitive are mountain glaciers to climate change? Insights from a block model |
title_fullStr |
How sensitive are mountain glaciers to climate change? Insights from a block model |
title_full_unstemmed |
How sensitive are mountain glaciers to climate change? Insights from a block model |
title_sort |
how sensitive are mountain glaciers to climate change? insights from a block model |
publisher |
Cambridge University Press |
publishDate |
2018 |
url |
https://doi.org/10.1017/jog.2018.15 https://doaj.org/article/be068a1450cc45dda5005bcfbc71e06d |
long_lat |
ENVELOPE(9.642,9.642,63.170,63.170) |
geographic |
Ela |
geographic_facet |
Ela |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
Journal of Glaciology, Vol 64, Pp 247-258 (2018) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0022143018000151/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2018.15 0022-1430 1727-5652 https://doaj.org/article/be068a1450cc45dda5005bcfbc71e06d |
op_doi |
https://doi.org/10.1017/jog.2018.15 |
container_title |
Journal of Glaciology |
container_volume |
64 |
container_issue |
244 |
container_start_page |
247 |
op_container_end_page |
258 |
_version_ |
1766049155708354560 |