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预测太阳磁暴全球最强!首个空间天气链式AI预报模型亮相WAIC
量子位·2025-07-29 05:05

Core Viewpoint - The article highlights the successful development of the "Fengyu" model, which is the world's first full-chain artificial intelligence forecasting model for space weather, significantly enhancing China's capabilities in space weather prediction [2][3][6]. Group 1: Model Development and Features - The "Fengyu" model integrates physical models, numerical forecasting, and artificial intelligence, creating a tripartite structure that improves space weather forecasting capabilities [7]. - It employs innovative technologies such as upstream and downstream intelligent coupling, enabling collaborative optimization and rapid hourly forecasting across different space weather regions [8][12]. - The model is based on the MindSpore Science suite and Ascend hardware, achieving superior training efficiency and prediction accuracy compared to traditional platforms [9][15]. Group 2: Technological Innovations - The model features the first international full-link intelligent modeling, covering solar wind, magnetosphere, and ionosphere, with a flexible and efficient update mechanism [12]. - It introduces a coupling optimization mechanism that enhances the interaction between different regional models, improving the understanding and prediction accuracy of space weather phenomena [13][14]. - The model's architecture shifts from isolated operations to a collaborative approach, addressing the limitations of previous AI models in space weather forecasting [10][11]. Group 3: Data Integration and Performance - The "Fengyu" model benefits from China's "Earth-Space Integrated" observation system, which provides extensive and high-quality data for training and validation [16][18]. - It has demonstrated exceptional predictive performance, maintaining a prediction error of around 10% for global electron density during significant geomagnetic events, marking it as the best result globally [21]. - The model has applied for 11 national invention patents, indicating its innovative contributions to the field [22]. Group 4: Practical Applications - The model's predictive capabilities extend to satellite design, management, and operation, allowing for proactive measures against space weather impacts [24][25]. - It aids in optimizing satellite fuel usage and flight posture in response to predicted atmospheric changes due to space weather [26]. - The advancements in the "Fengyu" model represent a significant leap in space weather monitoring and forecasting, with implications for future AI applications in space exploration [27][28]. Group 5: Future Directions - The next step involves deploying AI capabilities directly on satellites for autonomous decision-making, marking a crucial evolution in AI applications within the aerospace sector [28][29].