Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging

Abstract

Ensembles of forecasts are typically employed to account for the forecast uncertainties inherent in predictions of future weather states. However, biases and dispersion errors often present in forecast ensembles require statistical post-processing. Univariate post-processing models such as Bayesian model averaging (BMA) have been successfully applied for… (More)

6 Figures and Tables

Topics

  • Presentations referencing similar topics