For decades, the meteorological community has been constrained by chaos theory and the "butterfly effect," believing that a two-week forecast represented the theoretical limit. Tiny atmospheric disturbances were thought to accumulate, rendering long-term predictions unreliable. However, recent advancements indicate that artificial intelligence (AI) may be poised to transcend these boundaries. By proficiently processing and analyzing immense volumes of meteorological data, AI technology can now predict weather changes with greater accuracy, potentially extending the effective forecast horizon to one month or beyond. This breakthrough offers fresh hope in managing extreme weather events and combating climate change.
