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Home> News

The space weather chain-based large model "Fengyu" unveiled

Updated: 29-04-2025

Source: China Meteorological News Press

On April 29, the space weather chain-based large model "Fengyu" released at the Special Session on Digital Meteorology of the 8th Digital China Summit. The Research and Development (R&D) of "Fengyu" is spearheaded by the National Satellite Meteorological Centre (National Centre for Space Weather) of the China Meteorological Administration (CMA), with the joint participation of Nanchang University and Huawei Technologies Co Ltd. Currently, "Fengyu" has been trained with full chain coupling of solar wind, magnetosphere and ionosphere.

“Fengyu” adopts a brand-new design concept, combining real observation data from satellites and data generated by the independently developed full-chain space numerical weather prediction (NWP) model to form a data base that is complementary to each other and corroborates each other. And it creates the first chain training structure, focuses on the coupled modeling of multi-region physical constraints, models the solar wind, magnetosphere and ionosphere separately, and realizes the information interaction and dynamic response simulation between multi-region and multi-scale through the coupling optimization mechanism, which can illustrate the real space weather evolution process and further deepen the understanding and prediction capability of space weather process.

“Fengyu” also innovatively integrates the core ideas of artificial intelligence (AI), deeply couples the scientific mechanisms of the Earth system, and makes breakthroughs in short-term forecasting and response to extreme events.

“Fengyu” has a wide range of application scenarios, which can effectively guarantee the stable operation of satellite communication and navigation systems, optimize spacecraft orbit management and space mission safety, improve the protection capability of electric power and infrastructure, and enhance the safety of aviation and polar navigation.

Editor: JIANG Zhiqing

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