Northern Hemisphere

Machine Learning Study Flags Possible Early Warning for Polar Vortex Disruptions

A new machine-learning approach highlighted by Phys.org suggests scientists may have found a useful warning signal for disruptions in the polar vortex, the high-altitude circulation pattern that can influence winter weather across the Northern Hemisphere. The research could improve seasonal forecasting by identifying atmospheric precursors earlier than conventional methods, though experts will still need to test how reliably the signal performs in real-world conditions.