Daily travel plans and early warnings for extreme weather all rely on traditional numerical weather prediction. However, both traditional numerical weather prediction and AI forecasting large models have long suffered from systematic biases, which compromise forecast accuracy.
Spatiotemporal correlation-based AI developed for bias correction of atmospheric and oceanic variables
