Ensemble Bayesian Model Averaging

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

  Raftery, A. E., T. Gneiting, F. Balabdaoui, and M. Polakowski, 2005: Using Bayesian Model Averaging to Calibrate Forecast Ensembles. Mon. Weather. Rev., 133, 1155-1174. Sloughter, J. M., A. E. Raftery, T. Gneiting, and C. Fraley, 2007: Probabilistic quantitative precipitation forecasting using Bayesian model averaging. Mon. Weather. Rev., 135, 3209-3220.

Method description:

Fit Bayesian model average (BMA) model to correct the bias in each forecast and combine multiple forecasts.

Installation: N/A;

Execution: after compiling;

Input: weather forecasts;

QR code:

• 安装方式：无

  运行方式：编译后运行

  输入变量：日降水、气温、风速

  二维码：