ai天氣模型速度更快但能取代物理模擬嗎？
谷歌和英偉達的ai天氣模型速度超越傳統方法，但面臨可預測性和數據依賴的嚴格限制。
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.