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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Bibliographic Details
Published in:Journal of Glaciology
Main Authors: EVIATAR BACH, VALENTINA RADIĆ, CHRISTIAN SCHOOF
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press 2018
Subjects:
Ela
Online Access:https://doi.org/10.1017/jog.2018.15
https://doaj.org/article/be068a1450cc45dda5005bcfbc71e06d
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spelling 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
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