超算都是扯蛋哈，但是盤古是真的，真的有實用價值，《自然》在7月5日發表了華為盤古氣象AI模型的文章

Accurate medium-range global weather forecasting with 3D neural networks

• Kaifeng Bi,
• Lingxi Xie,
• Hengheng Zhang,
• Xin Chen,
• Xiaotao Gu &
• Qi Tian 

Huawei Cloud, Shenzhen, China

Nature volume 619, pages 533–538 (2023)

https://www.nature.com/articles/s41586-023-06185-3

Discussion

In this paper, we present Pangu-Weather, an AI-based system that trains deep networks for fast and accurate numerical weather forecasting. The major technical contributions include the design of the 3DEST architecture and the application of the hierarchical temporal aggregation strategy for medium-range forecasting. By training the models on 39 years of global weather data, Pangu-Weather produces better deterministic forecast results on reanalysis data than the world’s best NWP system, the operational IFS of ECMWF, while also being much faster. In addition, Pangu-Weather is excellent at forecasting extreme weather events and performing ensemble weather forecasts. Pangu-Weather reveals the potential of using large pre-trained models for various downstream applications, showing the same trend as other AI scopes, such as computer vision^26,27, natural language processing^28,29, cross-modal understanding³⁰ and beyond.