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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Taylor & Francis Group
2020
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ftdoajarticles:oai:doaj.org/article:ea6296706a764608b9e0635169f976fa 2023-05-15T14:14:31+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 2020-01-01T00:00:00Z https://doi.org/10.1080/15230430.2020.1743157 https://doaj.org/article/ea6296706a764608b9e0635169f976fa EN eng Taylor & Francis Group http://dx.doi.org/10.1080/15230430.2020.1743157 https://doaj.org/toc/1523-0430 https://doaj.org/toc/1938-4246 1523-0430 1938-4246 doi:10.1080/15230430.2020.1743157 https://doaj.org/article/ea6296706a764608b9e0635169f976fa 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 Environmental sciences GE1-350 Ecology QH540-549.5 article 2020 ftdoajarticles https://doi.org/10.1080/15230430.2020.1743157 2022-12-31T15:28:21Z 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 Directory of Open Access Journals: DOAJ Articles Arctic, Antarctic, and Alpine Research 52 1 191 209 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
dongkemadi ice field temperature index model glacier mass balance climate change volume–area scaling method Environmental sciences GE1-350 Ecology QH540-549.5 |
spellingShingle |
dongkemadi ice field temperature index model glacier mass balance climate change volume–area scaling method Environmental sciences GE1-350 Ecology QH540-549.5 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 Environmental sciences GE1-350 Ecology QH540-549.5 |
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 |
http://dx.doi.org/10.1080/15230430.2020.1743157 https://doaj.org/toc/1523-0430 https://doaj.org/toc/1938-4246 1523-0430 1938-4246 doi:10.1080/15230430.2020.1743157 https://doaj.org/article/ea6296706a764608b9e0635169f976fa |
op_doi |
https://doi.org/10.1080/15230430.2020.1743157 |
container_title |
Arctic, Antarctic, and Alpine Research |
container_volume |
52 |
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1 |
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191 |
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209 |
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1766286941183016960 |