This milestone in computational meteorology marks a departure from traditional Numerical Weather Prediction (NWP) models, which have historically dominated the field. By shifting from physics-based fluid dynamics simulations—which require massive supercomputing clusters and hours of processing time—to a sophisticated machine-learning architecture, Google has effectively collapsed the latency between data ingestion and actionable forecast delivery....
