AI気象モデルは高速化したが、物理学に取って代われるのか?
GoogleとNVIDIAのAI気象モデルは従来手法を凌駕する速度を誇るが、予測可能性とデータ依存の面で厳しい制約に直面している。
companies like google, nvidia, and microsoft have developed machine learning models for weather forecasting that offer significant speed advantages over traditional numerical methods by skipping complex physics calculations. despite these efficiency gains, the technology faces inherent limitations regarding data quality, generalization to unseen scenarios, and a lack of internal transparency. major weather centers are now exploring hybrid approaches to leverage these speed benefits while mitigating the risks of relying on black-box algorithms.