It does seem like this is one of those domains where new AI models could thrive. From my understanding, the amount and variety of data necessary to make these models work is huge. In addition to historical data, you've got constant satellite data, weather stations on the ground for data collection, weather balloons going high into the atmosphere multiple times daily per location, Doppler radars tracking precipitation, data from ships and other devices in the ocean measuring temps and other info, and who knows what else.<p>It's incredible that we are able to predict anything this far into the future, but the complexity seems like it lends itself to this kind of black box approach.<p>*This is all speculation, so I'd be grateful if someone more knowledgeable could tell if if I'm mistaken about these assumptions. It's an interesting topic.