Snow Hydrology in the Upper Yellow River Basin Under Climate Change: A Land Surface Modeling Perspective | |
Liu, WB (Liu, Wenbin)1; Wang, L (Wang, Lei)2,3,4; Sun, FB (Sun, Fubao)1,5,6; Li, ZH (Li, Zehua)7; Wang, H (Wang, Hong)1; Liu, JH (Liu, Jiahong)8; Yang, T (Yang, Tao)1; Zhou, J (Zhou, Jing)2; Qi, J (Qi, Jia)2 | |
Source Publication | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
2018-12-13 | |
Volume | 123Issue:22Pages:12676-12691 |
DOI | 10.1029/2018JD028984 |
Abstract | 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. |
Subject Area | 地理学 |
WOS ID | WOS:000452994100012 |
Language | 英语 |
Indexed By | SCIE |
Keyword | Water Availability Change Impacts Loess Plateau Variability Trends Runoff Evapotranspiration Uncertainties Simulation Streamflow |
WOS Research Area | Meteorology & Atmospheric Sciences |
WOS Subject | Meteorology & Atmospheric Sciences |
Cooperation Status | 国内 |
ISSN | 2169-897X |
Department | 环境变化与地表过程重点实验室 |
Publisher | AMER GEOPHYSICAL UNION |
Subtype | Article |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.itpcas.ac.cn/handle/131C11/8477 |
Collection | 图书馆 |
Corresponding Author | Liu, WB (Liu, Wenbin); Sun, FB (Sun, Fubao) |
Affiliation | 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. |
Recommended Citation GB/T 7714 | Liu, WB ,Wang, L ,Sun, FB ,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, WB .,Wang, L .,Sun, FB .,Li, ZH .,Wang, H .,...&Qi, J .(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, WB ,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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