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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Main Authors: Peihong Shi, Keqin Duan, Kirsten N. Nicholson, Bangshui Han, Neumann Klaus, Junhua Yang
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Arctic, Antarctic, and Alpine Research
Subjects:
Online Access:http://dx.doi.org/10.1080/15230430.2020.1743157
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spelling doaj-ea6296706a764608b9e0635169f976fa2021-02-08T14:09:11ZengTaylor & Francis GroupArctic, Antarctic, and Alpine Research1523-04301938-42462020-01-0152119120910.1080/15230430.2020.17431571743157Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050Peihong Shi0Keqin Duan1Kirsten N. Nicholson2Bangshui Han3Neumann Klaus4Junhua Yang5Shaanxi Normal UniversityShaanxi Normal UniversityBall State UniversityBall State UniversityBall State UniversityNorthwest Institute of Eco-Environment and ResourcesGlacier 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 average ELA in 1989. The clearly increasing summer air temperature may be the main reason for glacier shrinkage in the DIF. If the warming trend continues, glaciers in DIF may further retreat with continued glacial melt or even mostly disappear by the end of the century.http://dx.doi.org/10.1080/15230430.2020.1743157dongkemadi ice fieldtemperature index modelglacier mass balanceclimate changevolume–area scaling method
collection DOAJ
language English
format Article
sources DOAJ
author Peihong Shi
Keqin Duan
Kirsten N. Nicholson
Bangshui Han
Neumann Klaus
Junhua Yang
spellingShingle 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
Arctic, Antarctic, and Alpine Research
dongkemadi ice field
temperature index model
glacier mass balance
climate change
volume–area scaling method
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
series Arctic, Antarctic, and Alpine Research
issn 1523-0430
1938-4246
publishDate 2020-01-01
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 average ELA in 1989. The clearly increasing summer air temperature may be the main reason for glacier shrinkage in the DIF. If the warming trend continues, glaciers in DIF may further retreat with continued glacial melt or even mostly disappear by the end of the century.
topic dongkemadi ice field
temperature index model
glacier mass balance
climate change
volume–area scaling method
url http://dx.doi.org/10.1080/15230430.2020.1743157
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