Wang Lili, Chen Dehui, Zhao Linna. Application of GRAPES meteorological and hydrological coupled model to flood forecast. J Appl Meteor Sci, 2012, 23(3): 274-284.
Citation: Wang Lili, Chen Dehui, Zhao Linna. Application of GRAPES meteorological and hydrological coupled model to flood forecast. J Appl Meteor Sci, 2012, 23(3): 274-284.

Application of GRAPES Meteorological and Hydrological Coupled Model to Flood Forecast

  • Received Date: 2011-07-25
  • Rev Recd Date: 2012-04-06
  • Publish Date: 2012-06-30
  • The GRAPES (Global-Regional Assimilation and PrEdiction System)_Meso model developed by China Meteorological Administration is coupled with a hydrological model to increase lead-time of flood forecast. GRAPES_Meso model is run in 15 km×15 km horizontal resolution and 5 km×5 km horizontal resolution. The initial fields and lateral boundaries of 15 km×15 km horizontal resolution of GRAPES is provided by global NCEP forecast datasets, and the initial fields and lateral boundaries of 5 km×5 km horizontal resolution of GRAPES is provided by 15 km×15 km horizontal resolution of GRAPES. In order to match the input scale of hydrological model, quantitative precipitation forecasts of GRAPES_Meso model is downscaled to 5 km×5 km horizontal resolution. Xin'anjiang model and grid-based distributed Xin'anjiang model are used, which have been widely applied and proven effective in flood forecasting and hydrological simulation in humid and semi-humid regions of China for a long term. Wangjiaba Station and Xixian Basin in the upper reaches of the Huai River are chosen as sensitive areas. The two hydrological models are driven by forecast datasets of GRAPES. Upstream Wangjiaba Station, the basin is divided into 10 sub-basins for the coupling experiment of Xin'anjiang model. And Xixian Basin is for the coupling experiment of grid-based distributed Xin'anjiang model. A flood which maintains from 0800 BT 28 August to 1400 BT 29 September in 2009 is forecasted by these two models. The experiment results show that compared with observed precipitation, quantitative products of GRAPES model in 15 km×15 km and 5 km×5 km horizontal resolutions are well consistent. The quantitative products of GRAPES model with 5 km×5 km are larger than the quantitative products of GRAPES model with 15 km×15 km. A promising tool is given by GRAPES meteorological and hydrological coupled hydrologic model to increase lead-time of real-time flood forecast, compared with that driven by raingauge observation. The accuracy of the flood forecasting based on the precipitation prediction of GRAPES model is approximate to the precipitation prediction. The performance may be better if the input requirements for hydrological models are exactly met.
  • Fig. 1  Digital drainage map of Xixian Basin

    Fig. 2  Accumulated precipitation from 0800 BT to 1400 BT on 29 Aug 2009

    (the circled area is Wangjiaba Basin for test)

    Fig. 3  Accumulated precipitation from 0800 BT 28 Aug 2009 to 2000 BT 30 Aug 2009

    Fig. 4  The observed hydrographs against predictions in Wangjiaba Basin from 28 Aug to 9 Sep in 2009

    Fig. 5  Observed hydrographs and simulated hydrographs by hydrology model in Wangjiaba Basin from 28 Aug to 9 Sep in 2009

    (a) initial time: 0800 BT 28 Aug 2009, lead-time: 84 h, (b) initial time: 1400 BT 28 Aug 2009, lead-time: 78 h, (c) initial time: 2000 BT 28 Aug 2009, lead-time: 72 h, (d) initial time: 0200 BT 29 Aug 2009, lead-time: 66 h

    Fig. 6  Same as in Fig. 4, but in Xixian Basin

    Fig. 7  Same as in Fig. 5, but for 6 h accumulated precipitation by GRAPES-5 km

    (a) initial time: 0800 BT 28 Aug 2009, lead-time: 54 h, (b) initial time: 1400 BT 28 Aug 2009, lead-time: 48 h, (c) initial time: 2000 BT 28 Aug 2009, lead-time: 42 h, (d) initial time: 0200 BT 29 Aug 2009, lead-time: 36 h

    Table  1  Rain stations in the upper Wangjiaba Basin

    子流域 雨量站
    五沟营 西平
    板桥
    宿鸭湖 遂平、驻马店、确山
    班台 上蔡、汝南、平舆、新蔡
    薄山
    潢川 光山、新县
    息县 桐柏、信阳、罗山、息县
    南湾 鸡公山
    泼河
    王家坝 淮滨、正阳
    DownLoad: Download CSV

    Table  2  Statistics of the application for Xin'anjiang Model in the upper Wangjiaba Basin

    预见期/h 输入场 洪量相对误差/% 洪峰相对误差/% 峰现时间误差/h 确定性系数
    84 GRAPES-5 km模式 -39.50 -60.80 0 0.26
    GRAPES-15 km模式 -23.90 -32.20 0 0.75
    观测 81.06 87.20 -84 -1.30
    78 GRAPES-5 km模式 3.39 -6.70 -6 0.94
    GRAPES-15 km模式 22.31 21.40 0 0.78
    观测 81.06 87.20 -84 -1.30
    72 GRAPES-5 km模式 -0.26 -10.40 -6 0.95
    GRAPES-15 km模式 10.95 3.00 -6 0.93
    观测 73.02 84.00 -18 -0.92
    66 GRAPES-5 km模式 -20.40 -41.50 -6 0.73
    GRAPES-15 km模式 -11.30 -28.20 -6 0.88
    观测 61.63 68.80 -24 -0.39
    60 GRAPES-5 km模式 17.20 13.40 -6 0.88
    GRAPES-15 km模式 23.70 23.30 -6 0.78
    观测 60.30 67.60 -18 -0.30
    54 GRAPES-5 km模式 26.80 27.40 0 0.72
    GRAPES-15 km模式 27.00 28.00 0 0.72
    观测 39.00 40.60 -12 0.46
    48 GRAPES-5 km模式 26.80 27.40 0 0.72
    GRAPES-15 km模式 9.51 -2.50 6 0.94
    观测 9.77 -2.40 -6 0.94
    42 GRAPES-5 km模式 8.00 -4.80 -6 0.95
    GRAPES-15 km模式 5.50 -4.80 -6 0.95
    观测 8.13 -4.80 -6 0.94
    DownLoad: Download CSV

    Table  3  Statistics of the application for distributed Xin'anjiang Model in Xixian Basin

    预见期/h 输入场 洪量相对误差/% 洪峰相对误差/% 峰现时间误差/h 确定性系数
    54 GRAPES-5 km模式 9.31 4.85 0 0.94
    GRAPES-15 km模式 1.85 -11.89 0 0.96
    观测 -90.32 -95.41 -54 -0.59
    48 GRAPES-5 km模式 9.31 4.85 0 0.94
    GRAPES-15 km模式 -54.55 -61.04 -6 0.38
    观测 -90.32 -95.41 -54 -0.59
    42 GRAPES-5 km模式 9.31 4.85 0 0.94
    GRAPES-15 km模式 -62.62 -69.53 -12 0.16
    观测 -82.36 -91.49 -12 -0.41
    36 GRAPES-5 km模式 -42.89 -45.05 -6 0.64
    GRAPES-15 km模式 -65.32 -73.24 -18 0.07
    观测 -72.67 -79.20 -24 -0.14
    30 GRAPES-5 km模式 -42.89 -45.05 -6 0.64
    GRAPES-15 km模式 -71.38 -79.15 -24 -0.10
    观测 -71.39 -79.15 -24 -0.10
    24 GRAPES-5 km模式 -42.89 -45.05 -6 0.64
    GRAPES-15 km模式 -39.07 -44.99 0 0.67
    观测 -39.09 -44.99 0 0.67
    18 GRAPES-5 km模式 -59.35 -64.23 -12 0.26
    GRAPES-15 km模式 -5.99 -2.25 0 0.96
    观测 -6.02 -2.25 0 0.96
    12 GRAPES-5 km模式 -59.35 -64.23 -12 0.26
    GRAPES-15 km模式 -3.86 -0.95 0 0.96
    观测 -5.21 -0.98 0 0.96
    DownLoad: Download CSV
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    • Received : 2011-07-25
    • Accepted : 2012-04-06
    • Published : 2012-06-30

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