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Snow Hydrology in the Upper Yellow River Basin Under Climate Change: A Land Surface Modeling Perspective

文献类型：期刊论文

作者Liu, Wenbin1; Wang, Lei2,3,4; Sun, Fubao1,4,5,6; Li, Zehua7; Wang, Hong1; Liu, Jiahong8; Yang, Tao1; Zhou, Jing2; Qi, Jia2
刊名JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
出版日期2018-12-13
卷号123期号:22页码:12676-12691
ISSN号2169-897X
DOI10.1029/2018JD028984
通讯作者Liu, Wenbin(liuwb@igsnrr.ac.cn) ; Sun, Fubao(sunfb@igsnrr.ac.cn)
英文摘要Snow has been widely recognized as a crucial component of water resources and is expected to be vulnerable to climate change in cold and mountainous regions. Here we projected climate change impacts on snow hydrology in the upper Yellow River (UYR) basin through a distributed biosphere hydrological model with improved snow physics, forced with Inter-Sectoral Impact Model Intercomparison Project climate model outputs under two emission scenarios (representative concentration pathways, RCP4.5 and RCP8.5) during the period of 1996-2025. The results indicated that the climate in the UYR basin is turning warmer and wetter. In this context, more precipitation would occur as rain (snow-to-precipitation ratio would decrease accordingly). The total runoff generation would increase slightly with increased precipitation. The simulated snow depth and snow water equivalent would decrease by 33% and 19% per 1 degrees C warming under the RCP4.5. These declined rates would further enlarge under the RCP8.5. Accordingly, the multimodel ensemble mean snowmelt-to-runoff ratio decreases by 9% and 7% per 1 degrees C warming under the two emission scenarios. The projected responses of snow hydrology (e.g., snow depth, snow water equivalent, and snowmelt) to the changing climate in the UYR basin are consistent among different climate models and RCP scenarios, which would provide valuable insights for water resources management, environmental protection, and climate change adaption in high mountainous basins and their downstream regions.
WOS关键词WATER AVAILABILITY ; CHANGE IMPACTS ; LOESS PLATEAU ; VARIABILITY ; TRENDS ; RUNOFF ; EVAPOTRANSPIRATION ; UNCERTAINTIES ; SIMULATION ; STREAMFLOW
资助项目National Key Research and Development Program of China[2016YFC0401401] ; National Key Research and Development Program of China[2016YFA0602402] ; Key Research Program of the Chinese Academy of Sciences[ZDRW-ZS-2017-3-1] ; CAS Pioneer Hundred Talents Program
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000452994100012
出版者AMER GEOPHYSICAL UNION
资助机构National Key Research and Development Program of China ; Key Research Program of the Chinese Academy of Sciences ; CAS Pioneer Hundred Talents Program
源URL[http://ir.igsnrr.ac.cn/handle/311030/51464]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Wenbin; Sun, Fubao
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proce, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China
3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
5.Heixi Univ, Ecol Inst Qilian Mt, Zhangye, Peoples R China
6.Chinese Acad Sci, Ctr Water Resources Res, Beijing, Peoples R China
7.Guangdong Hydropower Planning & Design Inst, Guangzhou, Guangdong, Peoples R China
8.China Inst Water Resources & Hydropower Res, Key Lab Simulat & Regulat Water Cycle River Basin, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Wenbin,Wang, Lei,Sun, Fubao,et al. Snow Hydrology in the Upper Yellow River Basin Under Climate Change: A Land Surface Modeling Perspective[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(22):12676-12691.
APA Liu, Wenbin.,Wang, Lei.,Sun, Fubao.,Li, Zehua.,Wang, Hong.,...&Qi, Jia.(2018).Snow Hydrology in the Upper Yellow River Basin Under Climate Change: A Land Surface Modeling Perspective.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(22),12676-12691.
MLA Liu, Wenbin,et al."Snow Hydrology in the Upper Yellow River Basin Under Climate Change: A Land Surface Modeling Perspective".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.22(2018):12676-12691.

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来源：地理科学与资源研究所

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