中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multimodel uncertainty changes in simulated river flows induced by human impact parameterizations

文献类型:期刊论文

作者Liu, Xingcai2; Tang, Qiuhong2,3; Cui, Huijuan4; Mu, Mengfei2,3; Gerten, Dieter5,6; Gosling, Simon N.7; Masaki, Yoshimitsu8; Satoh, Yusuke9; Wada, Yoshihide1,9,10,11
刊名ENVIRONMENTAL RESEARCH LETTERS
出版日期2017-02-01
卷号12期号:2页码:10
关键词uncertainty global hydrological model human impact parameterizations multimodel approach
ISSN号1748-9326
DOI10.1088/1748-9326/aa5a3a
通讯作者Tang, Qiuhong(tangqh@igsnrr.ac.cn)
英文摘要Human impacts increasingly affect the global hydrological cycle and indeed dominate hydrological changes in some regions. Hydrologists have sought to identify the human-impact-induced hydrological variations via parameterizing anthropogenic water uses in global hydrological models (GHMs). The consequently increased model complexity is likely to introduce additional uncertainty among GHMs. Here, using four GHMs, between-model uncertainties are quantified in terms of the ratio of signal to noise (SNR) for average river flow during 1971-2000 simulated in two experiments, with representation of human impacts (VARSOC) and without (NOSOC). It is the first quantitative investigation of between-model uncertainty resulted from the inclusion of human impact parameterizations. Results show that the between-model uncertainties in terms of SNRs in the VARSOC annual flow are larger (about 2% for global and varied magnitude for different basins) than those in the NOSOC, which are particularly significant in most areas of Asia and northern areas to the Mediterranean Sea. The SNR differences are mostly negative (-20% to 5%, indicating higher uncertainty) for basin-averaged annual flow. The VARSOC high flow shows slightly lower uncertainties than NOSOC simulations, with SNR differences mostly ranging from -20% to 20%. The uncertainty differences between the two experiments are significantly related to the fraction of irrigation areas of basins. The large additional uncertainties in VARSOC simulations introduced by the inclusion of parameterizations of human impacts raise the urgent need of GHMs development regarding a better understanding of human impacts. Differences in the parameterizations of irrigation, reservoir regulation and water withdrawals are discussed towards potential directions of improvements for future GHM development. We also discuss the advantages of statistical approaches to reduce the between-model uncertainties, and the importance of calibration of GHMs for not only better performances of historical simulations but also more robust and confidential future projections of hydrological changes under a changing environment.
WOS关键词WATER-RESOURCES ; CLIMATE-CHANGE ; LAND-SURFACE ; HYDROLOGICAL CYCLES ; INTEGRATED MODEL ; IRRIGATION ; MANAGEMENT ; REPRESENTATION ; 21ST-CENTURY ; CHINA
资助项目National Natural Science Foundation of China[41425002] ; Chinese Academy of Sciences[ZDRW-ZS-2016-6-4] ; National Youth Topnotch Talent Support Program in China ; Ministry of the Environment[S-10]
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000410376100002
出版者IOP PUBLISHING LTD
资助机构National Natural Science Foundation of China ; Chinese Academy of Sciences ; National Youth Topnotch Talent Support Program in China ; Ministry of the Environment
源URL[http://ir.igsnrr.ac.cn/handle/311030/61850]  
专题中国科学院地理科学与资源研究所
通讯作者Tang, Qiuhong
作者单位1.Columbia Univ, Ctr Climate Syst Res, New York, NY USA
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
5.Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany
6.Humboldt Univ, Unter Linden 6, D-10099 Berlin, Germany
7.Univ Nottingham, Sch Geog, Nottingham NG7 2RD, England
8.Natl Inst Environm Studies, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan
9.Int Inst Appl Syst Anal, Laxenburg, Austria
10.NASA, Goddard Inst Space Studies, New York, NY 10025 USA
推荐引用方式
GB/T 7714
Liu, Xingcai,Tang, Qiuhong,Cui, Huijuan,et al. Multimodel uncertainty changes in simulated river flows induced by human impact parameterizations[J]. ENVIRONMENTAL RESEARCH LETTERS,2017,12(2):10.
APA Liu, Xingcai.,Tang, Qiuhong.,Cui, Huijuan.,Mu, Mengfei.,Gerten, Dieter.,...&Wada, Yoshihide.(2017).Multimodel uncertainty changes in simulated river flows induced by human impact parameterizations.ENVIRONMENTAL RESEARCH LETTERS,12(2),10.
MLA Liu, Xingcai,et al."Multimodel uncertainty changes in simulated river flows induced by human impact parameterizations".ENVIRONMENTAL RESEARCH LETTERS 12.2(2017):10.

入库方式: OAI收割

来源:地理科学与资源研究所

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