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

    Schaake, J., Demargne J, Hartman R, et al., 2007: Precipitation and temperature ensemble forecasts from single-value forecasts. Hydrol. Earth Syst. Sci. Discuss., 4, 655-717. Ye, A., X. Deng, F. Ma, Q. Duan, et al., 2017: Integrating weather and climate predictions for seamless hydrologic ensemble forecasting: A case study in the Yalong River basin. J. Hydrol. , 547, 196–207.

  • Method description:
  • Firstly apply normal quantile transform (NQT), then fit joint probability model to the forecast and observations. Given new forecasts, the conditional distribution of observations can be obtained in forms of ensemble forecasts.The method can be applied to remove the bias and dispersion errors in raw weather forecasts.

    Installation: N/A;

    Execution: after compiling;

    Input: precipitation;

    QR code:

    • 安装方式:

      运行方式:编译后运行

      输入变量:降水量

      二维码: