新一代空气质量模式将大幅提升预报精度

Core Viewpoint - The development of the EPICC-Model represents a significant advancement in air quality modeling, addressing the challenges of accurately predicting atmospheric pollution and enhancing environmental governance capabilities [3][13][15]. Group 1: Air Quality Modeling Challenges - Accurately predicting atmospheric pollution remains a major challenge in the fields of ecological environment and meteorology [1] - Traditional methods of air quality prediction often result in significant discrepancies between predicted and actual pollution levels [4][6] - The current state of air quality modeling in China faces issues such as resource dispersion, low integration of innovative mechanisms, and insufficient accuracy in regional compound pollution forecasts [6] Group 2: EPICC-Model Development - The EPICC-Model was developed by a collaborative team leveraging the capabilities of the "Huan" major scientific infrastructure, which simulates interactions across various Earth system layers [7][12] - The model incorporates a modular architecture that allows for flexible and efficient operation, significantly improving the accuracy of air quality simulations from tens of kilometers to 3 kilometers [9][10] - Innovations in the model include the coupling of physical and chemical mechanisms, enhancing the understanding of complex atmospheric processes [11] Group 3: Environmental Impact and Applications - The EPICC-Model has improved the accuracy of PM2.5 simulations by over 40%, with ozone simulation errors controlled within 20% for key regions [13] - The model supports multi-pollutant simulations, enhancing regional pollution forecasting capabilities and has been instrumental during significant events like the 20th National Congress and the Beijing Winter Olympics [13][14] - The open-source nature of the EPICC-Model allows for global collaboration, providing critical technical support for air pollution governance and policy-making [14][15]