Regional assimilation of in situ observed soil moisture into the VIC model considering spatial variability

被引:9
作者
Zhou, Jianhong [1 ,2 ]
Wu, Zhiyong [1 ,2 ]
He, Hai [1 ,2 ]
Wang, Fang [3 ]
Xu, Zhengguang [1 ,2 ]
Wu, Xiaotao [1 ,2 ]
机构
[1] Hohai Univ, Inst Water Problems, Nanjing, Jiangsu, Peoples R China
[2] Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China
[3] Hohai Univ, Editorial Dept Journal Water Resources Protect, Nanjing, Jiangsu, Peoples R China
来源
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES | 2019年 / 64卷 / 16期
基金
中国国家自然科学基金;
关键词
soil moisture; regional assimilation; VIC model; spatial variability; HYDROLOGICAL MODEL; ENSEMBLE; DROUGHT; ASCAT; EVAPOTRANSPIRATION; CLASSIFICATION; IMPLEMENTATION; VALIDATION; SIMULATION; STREAMFLOW;
D O I
10.1080/02626667.2019.1662024
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
In order to improve the soil moisture (SM) modelling capacity, a regional SM assimilation scheme based on an empirical approach considering spatial variability was constructed to assimilate in situ observed SM data into a hydrological model. The daily variable infiltration capacity (VIC) model was built to simulate SM in the Upper Huai River Basin, China, with a resolution of 5 km ? 5 km. Through synthetic assimilation experiments and validations, the assimilated SM was evaluated, and the assimilation feedback on evapotranspiration (ET) and streamflow are analysed and discussed. The results show that the assimilation scheme improved the SM modelling capacity, both spatially and temporally. Moreover, the simulated ET was continually affected by changes in SM simulation, and the streamflow predictions were improved after applying the SM assimilation scheme. This study demonstrates the potential value of in situ observations in SM assimilation, and provides valuable ways for improving hydrological simulations.
引用
收藏
页码:1982 / 1996
页数:15
相关论文
共 74 条
  • [1] Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes
    Alvarez-Garreton, C.
    Ryu, D.
    Western, A. W.
    Su, C. -H.
    Crow, W. T.
    Robertson, D. E.
    Leahy, C.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2015, 19 (04) : 1659 - 1676
  • [2] [Anonymous], WATER SCI
  • [3] Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall-runoff model
    Aubert, D
    Loumagne, C
    Oudin, L
    [J]. JOURNAL OF HYDROLOGY, 2003, 280 (1-4) : 145 - 161
  • [4] Boone A, 2004, J CLIMATE, V17, P187, DOI 10.1175/1520-0442(2004)017<0187:TRLSSI>2.0.CO
  • [5] 2
  • [6] Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe
    Brocca, L.
    Hasenauer, S.
    Lacava, T.
    Melone, F.
    Moramarco, T.
    Wagner, W.
    Dorigo, W.
    Matgen, P.
    Martinez-Fernandez, J.
    Llorens, P.
    Latron, J.
    Martin, C.
    Bittelli, M.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2011, 115 (12) : 3390 - 3408
  • [7] ASCAT soil wetness index validation through in situ and modeled soil moisture data in central Italy
    Brocca, L.
    Melone, F.
    Moramarco, T.
    Wagner, W.
    Hasenauer, S.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2010, 114 (11) : 2745 - 2755
  • [8] Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture
    Chen, Fan
    Crow, Wade T.
    Starks, Patrick J.
    Moriasi, Daniel N.
    [J]. ADVANCES IN WATER RESOURCES, 2011, 34 (04) : 526 - 536
  • [9] Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization
    Chen, Y.
    Li, J.
    Xu, H.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2016, 20 (01) : 375 - 392
  • [10] Liuxihe Model and Its Modeling to River Basin Flood
    Chen, Yangbo
    Ren, Qiwei
    Huang, Fenghua
    Xu, Huijun
    Cluckie, Ian
    [J]. JOURNAL OF HYDROLOGIC ENGINEERING, 2011, 16 (01) : 33 - 50