General Linear Model Post-processor
  • Category: Single Model Post-processing Method
  • Development language: Matlab
  • Operating platform / Operating system: windows
  • Compilation tools and environment: MATLAB
  • Version: version 1.0
  • GitHub download path: https://github.com/Three-Poles/Reprocessing
  • Citation:

    Zhao, L., Q. Duan, J. Schaake, A. Ye, and J. Xia, 2011: A hydrologic post-processor for ensemble streamflow predictions. Adv. Geosci., 29, 51-59. Ye, A., Q. Duan, X. Yuan, E. F. Wood, and J. Schaake, 2014: Hydrologic post-processing of MOPEX streamflow simulations. J. Hydrol. , 508, 147-156. Ye, A., Q. Duan, J. Schaake,et al., 2015: Post‐processing of ensemble forecasts in low‐flow period. Hydrological processes, 29(10), 2438-2453.

  • Method description:
  • Firstly apply normal quantile transform (NQT), then fit a general linear regression model to the multiple-day observed and simulated streamflow. Given new streamflow simulations, the conditional distribution of observations can be obtained in forms of ensemble forecasts.The method can be applied to remove the bias in raw streamflow simulations.

    Installation: N/A;

    Execution: after compiling;

    Input: streamflow;

    QR code:

    • 安装方式:

      运行方式:编译后运行

      输入变量:迳流

      二维码: