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  • Gao, HongkaiEast China Normal University (author)

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

  • Article/chapterEnglish2020

Publisher, publication year, extent ...

  • Elsevier BV,2020

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  • LIBRIS-ID:oai:lup.lub.lu.se:7b0144bc-956f-41d5-be92-8ddfd59bf801
  • https://lup.lub.lu.se/record/7b0144bc-956f-41d5-be92-8ddfd59bf801URI
  • https://doi.org/10.1016/j.jhydrol.2020.125457DOI

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  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

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  • 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.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Dong, JianzhiUSDA Hydrology and Remote Sensing Laboratory (author)
  • Chen, XiEast China Normal University (author)
  • Cai, HuayangSun Yat-sen University (author)
  • Liu, ZhiyongSun Yat-sen University (author)
  • Jin, ZhihaoYale University (author)
  • Mao, DehuaUniversity of the Chinese Academy of Sciences (author)
  • Yang, ZongjiInstitute of Mountain Hazards and Environment Chinese Academy of Sciences (author)
  • Duan, ZhengLund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science(Swepub:lu)zh7785du (author)
  • East China Normal UniversityUSDA Hydrology and Remote Sensing Laboratory (creator_code:org_t)

Related titles

  • In:Journal of Hydrology: Elsevier BV5910022-1694

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By the author/editor
Gao, Hongkai
Dong, Jianzhi
Chen, Xi
Cai, Huayang
Liu, Zhiyong
Jin, Zhihao
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Mao, Dehua
Yang, Zongji
Duan, Zheng
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About the subject
NATURAL SCIENCES
NATURAL SCIENCES
and Earth and Relate ...
and Oceanography Hyd ...
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Journal of Hydro ...
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Lund University

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