A new technique significantly improves weather forecasting beyond two weeks. Researchers developed a machine-learning model that learns to correct errors in existing forecasting models to make their output more accurate over the two-to-six-week time frame, a key window for emergency planning.
I think that’s just how probability works? 90% confidence means there’s a 10% chance it’ll be wrong. So it’ll sometimes be wrong. 1 out of every 10 times (on average), which would be all the time because weather is happening constantly.
Regardless, I’ll wait to see how accurate this model is long-term before praising it.