Atmospheric Predictability Beyond 30 Days with Machine Learning
The episode discusses a paper that challenges traditional weather limits by using AI to predict atmospheric conditions beyond 30 days. Researchers employed gradient descent on models like GraphCast to find optimal starting conditions, achieving significant error reductions and proving extended forecast reliability.