Subseasonal forecasting, or the ability to predict weather trends two weeks to two months in advance, is a capability highly sought after in various economic sectors, including energy, water management and agriculture. Reliable forecasts on this scale have thus far been largely out of reach, but researchers at the U.S. National Science Foundation National Center for Atmospheric Research (NSF NCAR) are leveraging AI to see whether it can help them grasp this elusive capability.