딥마인드의 기상 ai, 사이클론 강도-경로 트레이드오프 해결
구글 딥마인드의 wnext cyclones 모델은 최상위 전문 모델보다 정확하게 폭풍의 경로와 강도를 모두 예측하며, 새로운 생성 기법을 통해 예보 범위를 하루 늘리고 8배 더 빠르게 실행된다.
google deepmind introduced wnext cyclones, a model that resolves a decades-old tradeoff by accurately forecasting both cyclone tracks and intensities using data resolution 100 times coarser than specialized systems. built with the uk met office and noaa, wn-c reduced track error by 140km compared to ecmwf ensembles and beat regional models on intensity metrics while requiring only a single neural network pass thanks to functional generative networks. the system went live in june 2025 and successfully predicted rapid intensification for hurricane melissa, suggesting that coarse atmospheric data contains more signal than previously understood.