中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Emergent constraints reveal underprediction of future global water availability under anthropogenic forcing

文献类型:期刊论文

作者Tang, Senlin2; Zhang, Qiang2; Gong, Xintong2; Xu, Chong-Yu3; Singh, Vijay P.4,5,6; Sun, Fubao7,8; Feng, Yao7; Li, Ziwei7,8; Han, Likun1,9,10
刊名GLOBAL AND PLANETARY CHANGE
出版日期2026-02-01
卷号257页码:105252
关键词Climate change Water resources Attribution analysis Optimal fingerprinting Emergent constraint
ISSN号0921-8181
DOI10.1016/j.gloplacha.2025.105252
产权排序6
文献子类Article
英文摘要Water is vital for the sustainability of human society, and rational water resources management and effective adaptation strategies require a clear and holistic understanding of the drivers and uncertainties influencing water availability. However, the key factors and uncertainties, and their spatial heterogeneity in global water resources remain poorly quantified. Here, we employed optimal fingerprinting to identify the drivers of global water resources changes from 1980 to 2014. We found that greenhouse gas (GHG) forcing explains approximately 77.6 % of the observed upward trend, significantly outweighing the contributions from natural external forcing (NAT, 45.8 %) and aerosols (AER,-23.4 %). We evaluated the contributions of internal variability, model uncertainty, and scenario uncertainty to future global water-resource projections, and attributed similar to 89.2 % of the total variance to the model uncertainty. Furthermore, by integrating historical observations (1995-2014) with the emergent constraint method, we reduced uncertainties in future projections (2081-2100) under the SSP2-4.5 and SSP5-8.5 scenarios. The constrained projections revealed the underestimation of water-resource changes by 18.0 % (SSP2-4.5) and 13.4 % (SSP5-8.5) for the 2081-2100 period. Notably, model uncertainty under both warming scenarios fell by 33.1 % and 26.4 %, respectively, substantially boosting the reliability of future projections. These findings advance our understanding of the drivers and uncertainties in global water resources, informing adaptation strategies and long-term water resources planning.
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WOS关键词OBSERVED TRENDS ; CLIMATE-CHANGE ; VARIABILITY ; CHALLENGES ; RESOURCES ; IMPACTS
WOS研究方向Physical Geography ; Geology
语种英语
WOS记录号WOS:001650108100001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/219749]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Zhang, Qiang; Sun, Fubao
作者单位1.Fudan Univ, Key Lab Polar Atmosphere Ocean Ice Syst Weather &, Minist Educ, Shanghai 200438, Peoples R China
2.Beijing Normal Univ, Adv Interdisciplinary Inst Environm & Ecol, Guangdong Prov Key Lab Wastewater Informat Anal &, Zhuhai, Peoples R China;
3.Univ Oslo, Dept Geosci & Hydrol, Oslo, Norway;
4.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX USA;
5.Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX USA;
6.UAE Univ, Natl Water & Energy Ctr, Al Ain, U Arab Emirates;
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China;
8.Univ Chinese Acad Sci, Beijing, Peoples R China;
9.Fudan Univ, Dept Atmospher & Ocean Sci, Shanghai 200438, Peoples R China;
10.Fudan Univ, Inst Atmospher Sci, Shanghai 200438, Peoples R China;
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GB/T 7714
Tang, Senlin,Zhang, Qiang,Gong, Xintong,et al. Emergent constraints reveal underprediction of future global water availability under anthropogenic forcing[J]. GLOBAL AND PLANETARY CHANGE,2026,257:105252.
APA Tang, Senlin.,Zhang, Qiang.,Gong, Xintong.,Xu, Chong-Yu.,Singh, Vijay P..,...&Han, Likun.(2026).Emergent constraints reveal underprediction of future global water availability under anthropogenic forcing.GLOBAL AND PLANETARY CHANGE,257,105252.
MLA Tang, Senlin,et al."Emergent constraints reveal underprediction of future global water availability under anthropogenic forcing".GLOBAL AND PLANETARY CHANGE 257(2026):105252.

入库方式: OAI收割

来源:地理科学与资源研究所

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