Bias Correction Doubled European AI Weather Model’s Subseasonal Forecast Skill

Microsoft researchers and collaborators developed a machine-learning method that improved weather forecasts two to six weeks ahead, including results that doubled the subseasonal skill of a European forecasting system’s AI model. The method, called probabilistic bias correction, learns from historical probabilistic forecasts and adjusts predictions from existing models. It was applied to forecasts from the European Centre for Medium-Range Weather Forecasts, which runs a global weather forecasting system. For the center’s AI Forecasting System, probabilistic bias correction doubled subseasonal forecast skill.

Source: TokenPost