Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050

Glacier mass balance change is among the best indicators of glacier response to climate change. Due to its inaccessibility and limited observation, little is known about the change to the Dongkemadi Ice Field (DIF) in the Tanggula Mountains located in the source region of the Yangtze River in centra...

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Published in:Arctic, Antarctic, and Alpine Research
Main Authors: Peihong Shi, Keqin Duan, Kirsten N. Nicholson, Bangshui Han, Neumann Klaus, Junhua Yang
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis Group 2020
Subjects:
geo
Online Access:https://doi.org/10.1080/15230430.2020.1743157
https://doaj.org/article/ea6296706a764608b9e0635169f976fa
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:ea6296706a764608b9e0635169f976fa 2023-05-15T14:14:22+02:00 Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050 Peihong Shi Keqin Duan Kirsten N. Nicholson Bangshui Han Neumann Klaus Junhua Yang 2020-01-01 https://doi.org/10.1080/15230430.2020.1743157 https://doaj.org/article/ea6296706a764608b9e0635169f976fa en eng Taylor & Francis Group 1523-0430 1938-4246 doi:10.1080/15230430.2020.1743157 https://doaj.org/article/ea6296706a764608b9e0635169f976fa undefined Arctic, Antarctic, and Alpine Research, Vol 52, Iss 1, Pp 191-209 (2020) dongkemadi ice field temperature index model glacier mass balance climate change volume–area scaling method geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2020 fttriple https://doi.org/10.1080/15230430.2020.1743157 2023-01-22T17:51:42Z Glacier mass balance change is among the best indicators of glacier response to climate change. Due to its inaccessibility and limited observation, little is known about the change to the Dongkemadi Ice Field (DIF) in the Tanggula Mountains located in the source region of the Yangtze River in central Tibetan Plateau. Here, an enhanced temperature index–based glacier model considering glacier area change was applied to study the temporal–spatial variation in mass balance on the DIF from 1989 to 2012 and to assess its response to climate change. The model was forced by reconstructed temperature and precipitation from adjacent national meteorological stations and validated by comparing with field observations from the Xiao Dongkemadi Glacier (XDG). Results show that the simulated mass balance is in good agreement with the observations (R2 = 0.75, p < .001), and the model can reasonably reproduce well the glacier mass change. Then the model was applied to twenty individual glaciers in DIF and forced by the high-resolution regional climate model (RegCM3) from 2013 to 2050 to project their further variation. In the future, the mass balance of glaciers in DIF shows a continuously negative trend with a linear rate of −0.16 m water equivalent (w.e.) a−1 in representative concentration pathway (RCP) 4.5 and −0.35 m w.e. a−1 in RCP 8.5. Most of the glaciers’ equilibrium line altitudes (ELAs) will reach or exceed their maximum elevation after the 2030s. By coupling a modified volume–area scaling method with the mass balance model, results showed that areas of the individual glaciers in DIF will lose about 12.10 to 30.66 percent under RCP4.5 and 14.06 to 38.76 percent under RCP8.5, and the volume of the DIF will lose about 1.18 km3 in RCP4.5 and 1.44 km3 in RCP8.5 by the end of 2050. In addition, the terminuses of glaciers experienced the largest percentage losses and most of the glaciers’ front position will reach ~5,520 m a.s.l. in RCP 4.5 and 5,570 m a.s.l. in RCP 8.5, the latter of which is nearly close to the DIF ... Article in Journal/Newspaper Antarctic and Alpine Research Arctic Unknown Arctic, Antarctic, and Alpine Research 52 1 191 209
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic dongkemadi ice field
temperature index model
glacier mass balance
climate change
volume–area scaling method
geo
envir
spellingShingle dongkemadi ice field
temperature index model
glacier mass balance
climate change
volume–area scaling method
geo
envir
Peihong Shi
Keqin Duan
Kirsten N. Nicholson
Bangshui Han
Neumann Klaus
Junhua Yang
Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050
topic_facet dongkemadi ice field
temperature index model
glacier mass balance
climate change
volume–area scaling method
geo
envir
description Glacier mass balance change is among the best indicators of glacier response to climate change. Due to its inaccessibility and limited observation, little is known about the change to the Dongkemadi Ice Field (DIF) in the Tanggula Mountains located in the source region of the Yangtze River in central Tibetan Plateau. Here, an enhanced temperature index–based glacier model considering glacier area change was applied to study the temporal–spatial variation in mass balance on the DIF from 1989 to 2012 and to assess its response to climate change. The model was forced by reconstructed temperature and precipitation from adjacent national meteorological stations and validated by comparing with field observations from the Xiao Dongkemadi Glacier (XDG). Results show that the simulated mass balance is in good agreement with the observations (R2 = 0.75, p < .001), and the model can reasonably reproduce well the glacier mass change. Then the model was applied to twenty individual glaciers in DIF and forced by the high-resolution regional climate model (RegCM3) from 2013 to 2050 to project their further variation. In the future, the mass balance of glaciers in DIF shows a continuously negative trend with a linear rate of −0.16 m water equivalent (w.e.) a−1 in representative concentration pathway (RCP) 4.5 and −0.35 m w.e. a−1 in RCP 8.5. Most of the glaciers’ equilibrium line altitudes (ELAs) will reach or exceed their maximum elevation after the 2030s. By coupling a modified volume–area scaling method with the mass balance model, results showed that areas of the individual glaciers in DIF will lose about 12.10 to 30.66 percent under RCP4.5 and 14.06 to 38.76 percent under RCP8.5, and the volume of the DIF will lose about 1.18 km3 in RCP4.5 and 1.44 km3 in RCP8.5 by the end of 2050. In addition, the terminuses of glaciers experienced the largest percentage losses and most of the glaciers’ front position will reach ~5,520 m a.s.l. in RCP 4.5 and 5,570 m a.s.l. in RCP 8.5, the latter of which is nearly close to the DIF ...
format Article in Journal/Newspaper
author Peihong Shi
Keqin Duan
Kirsten N. Nicholson
Bangshui Han
Neumann Klaus
Junhua Yang
author_facet Peihong Shi
Keqin Duan
Kirsten N. Nicholson
Bangshui Han
Neumann Klaus
Junhua Yang
author_sort Peihong Shi
title Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050
title_short Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050
title_full Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050
title_fullStr Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050
title_full_unstemmed Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050
title_sort modeling past and future variation of glaciers in the dongkemadi ice field on central tibetan plateau from 1989 to 2050
publisher Taylor & Francis Group
publishDate 2020
url https://doi.org/10.1080/15230430.2020.1743157
https://doaj.org/article/ea6296706a764608b9e0635169f976fa
genre Antarctic and Alpine Research
Arctic
genre_facet Antarctic and Alpine Research
Arctic
op_source Arctic, Antarctic, and Alpine Research, Vol 52, Iss 1, Pp 191-209 (2020)
op_relation 1523-0430
1938-4246
doi:10.1080/15230430.2020.1743157
https://doaj.org/article/ea6296706a764608b9e0635169f976fa
op_rights undefined
op_doi https://doi.org/10.1080/15230430.2020.1743157
container_title Arctic, Antarctic, and Alpine Research
container_volume 52
container_issue 1
container_start_page 191
op_container_end_page 209
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