Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin

doi:10.1016/j.jhydrol.2020.125457

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 山地灾害与地表过程重点实验室

	Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin
	Gao Hongkai 4,5; Dong Jianzhi 3; Chen Xi 4,5; Cai Huayang 2; Liu Zhiyong 1; Jin Zhihao 9; Mao Dehua 8; Yang Zongji 7; Duan Zheng 6
刊名	Journal of Hydrology
	2020
卷号	591 页码:125457
关键词	Glacier hydrology Hydrological model Remote sensing Model realism Upper Brahmaputra River Data scarce basin
ISSN号	0022-1694
DOI	10.1016/j.jhydrol.2020.125457
通讯作者	Chen, Xi(xchen@geo.ecnu.edu.cn) ; Duan, Zheng(zheng.duan@nateko.lu.se)
产权排序	8
文献子类	Article
英文摘要	Model realism is of vital importance in science of hydrology, in terms of realistic representation of hydrological processes and reliability of future prediction. Here, we employed a stepwise modeling approach that leverages flexible model structures and multi-source observations for robust streamflow simulation and internal variables validation with improved model realism. This framework is demonstrated in Yigong Zangbu River (YZR) basin, a data scarce glacier basin in the upper Brahmaputra River. We designed six experiments (Exp1-6) to use modeling as a tool to understand hydrological processes in this remote cold basin with extremely high altitude. In Exp1, we started with a distributed rainfall-runoff model (FLEXD) - representing the case that snow and glacier processes were ignored. Then, we stepwisely added snow and glacier processes into FLEXD, denoted as FLEXD-S (Exp2) and FLEXD-SG (Exp3), respectively, and such improvement of model structure led to significantly improved streamflow estimates. To explore the impact of different precipitation forcing on model performance, FLEXD-SG was driven by Theissen average (Exp3) and three individual stations' precipitation (Exp4-6). The model realism was tested by observed hydrograph, snow cover area (SCA) and glacier mass balance (GMB). Results showed that a robust and realistic hydrological modeling system was achieved in Exp6. In this modeling study, we learned that: 1) stepwise modeling is effective in investigating catchment behavior, and snow and glacier melting are the dominant hydrological processes in the YZR basin; 2) internal variables validation is beneficial to test model realism in data scarce basin; 3) the FLEXD-SG model calibrated by only one year hydrograph is sufficient to reproduce snow and glacier variations; 4) precipitation of a single station as forcing data could outperform Theissen average; 5) based on the well tested model configuration in Exp6, we analyzed simulated results, and reconstructed the long term hydrography (1961-2013), to support the potential competence for decision making on water resources management in practice. The proposed framework may significantly improve our skills in hydrological modeling over data-poor regions.
电子版国际标准刊号	1879-2707
资助项目	National Natural Science Foundation of China[41801036] ; National Natural Science Foundation of China[41911530191] ; UK Royal Society-Newton Mobility Grant[IEC\NSFC\181253] ; National Key R&D Program of China[2017YFE0100700] ; Key Program of National Natural Science Foundation of China[41730646] ; Key Laboratory for Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences[KLMHESP-17-02] ; Scientific Foundation of the Chinese Academy of Sciences[KFZD-SW-425] ; Scientific Foundation of the Chinese Academy of Sciences[KFJ-STS-QYZD-172] ; Crafoord Foundation[20200595]
WOS关键词	REMOTE-SENSING DATA ; AIR-TEMPERATURE ; MASS-BALANCE ; HYDROLOGICAL CONNECTIVITY ; TIBETAN PLATEAU ; CLIMATE-CHANGE ; ZANGBO RIVER ; SNOW ; PRECIPITATION ; TOPOGRAPHY
WOS研究方向	Engineering ; Geology ; Water Resources
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000599757800055
资助机构	National Natural Science Foundation of China ; UK Royal Society-Newton Mobility Grant ; National Key R&D Program of China ; Key Program of National Natural Science Foundation of China ; Key Laboratory for Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences ; Scientific Foundation of the Chinese Academy of Sciences ; Crafoord Foundation
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/46664]
专题	成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者	Chen Xi; Duan Zheng
作者单位	1.Center for Water Resources and Environment, School of Civil Engineering, Sun Yat-sen University, Guangzhou, China; 2.Institute of Estuarine and Coastal Research, School of Marine Engineering and Technology, Sun Yat-sen University, Guangzhou, 510275, China; 3.USDA Hydrology and Remote Sensing Laboratory, Beltsville; MD, United States; 4.School of Geographical Sciences, East China Normal University, Shanghai, China; 5.Key Laboratory of Geographic Information Science (Ministry of Education of China), East China Normal University, Shanghai, China; 6.Department of Physical Geography and Ecosystem Science, Lund University, Sweden 7.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, Sichuan, 610041, China; 8.Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China; 9.Department of Environmental Health Sciences, Yale School of Public Health, Yale University, United States;
推荐引用方式 GB/T 7714	Gao Hongkai,Dong Jianzhi,Chen Xi,et al. Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin[J]. Journal of Hydrology,2020,591:125457.
APA	Gao Hongkai.,Dong Jianzhi.,Chen Xi.,Cai Huayang.,Liu Zhiyong.,...&Duan Zheng.(2020).Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin.Journal of Hydrology,591,125457.
MLA	Gao Hongkai,et al."Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin".Journal of Hydrology 591(2020):125457.