DOI: 10.5194/tc-14-3215-2020
论文题名: Towards understanding the pattern of glacier mass balances in High Mountain Asia using regional climatic modelling
作者: De Kok R.J. ; Kraaijenbrink P.D.A. ; Tuinenburg O.A. ; Bonekamp P.N.J. ; Immerzeel W.W.
刊名: Cryosphere
ISSN: 19940416
出版年: 2020
卷: 14, 期: 9 起始页码: 3215
结束页码: 3234
语种: 英语
英文关键词: climate forcing
; climate modeling
; evapotranspiration
; glacier mass balance
; global warming
; regional climate
; spatial variation
; uncertainty analysis
; China
; Karakoram
; Kunlun Mountains
英文摘要: Glaciers in High Mountain Asia (HMA) provide an important water resource for communities downstream, and they are markedly impacted by global warming, yet there is a lack of understanding of the observed glacier mass balances and their spatial variability. In particular, the glaciers in the western Kunlun Shan and Karakoram (WKSK) ranges show neutral to positive mass balances despite global warming. Using models of the regional climate and glacier mass balance, we reproduce the observed patterns of glacier mass balance in High Mountain Asia of the last decades within uncertainties. We show that low temperature sensitivities of glaciers and an increase in snowfall, for a large part caused by increases in evapotranspiration from irrigated agriculture, result in positive mass balances in the WKSK. The pattern of mass balances in High Mountain Asia can thus be understood from the combination of changes in climatic forcing and glacier properties, with an important role for irrigated agriculture. © 2020 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164440
Appears in Collections: 气候变化与战略
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作者单位: Department of Physical Geography, Utrecht University, P.O. Box 80115, Utrecht, 3508 TC, Netherlands; Copernicus Institute of Sustainable Development, Utrecht University, P.O. Box 80115, Utrecht, 3508 TC, Netherlands
Recommended Citation:
De Kok R.J.,Kraaijenbrink P.D.A.,Tuinenburg O.A.,et al. Towards understanding the pattern of glacier mass balances in High Mountain Asia using regional climatic modelling[J]. Cryosphere,2020-01-01,14(9)