AI Weather Quest - A year of progress in AI-based sub-seasonal prediction - WEBINAR.
AI-based sub-seasonal prediction uses machine learning to forecast weather trends two weeks to two months ahead, overcoming the traditional accuracy drop past 10 to 14 days. Why Sub-Seasonal AI Matters? Filling the Gap: Traditional computer models lose skill beyond two weeks, but AI models process vast historical data to spot lingering atmospheric and oceanic patterns. Speed and Cost: AI emulators generate long-range forecasts in a fraction of the time and computational power required by traditional supercomputer simulations. Key Innovations: Frameworks like DeepMet and Probabilistic Bias Correction (PBC) reduce root-mean-square errors and double the skill of standard sub-seasonal lead times. Major Initiatives AI Weather Quest : An international competition organized by the European Centre for Medium-Range Weather Forecasts (ECMWF) to benchmark global AI/ML probabilistic forecasts for weeks 3 and 4. Sector Applications: Industries like energy trading, agriculture, and water ma...
