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FY-4A Precipitation Estimation Method Based on Deep Learning
Artificial Intelligence | 更新时间:2026-01-27
    • FY-4A Precipitation Estimation Method Based on Deep Learning

    • “In the field of meteorological services, the FY-4A precipitation estimation method based on deep learning utilizes attention mechanism guided convolutional neural networks to extract features from satellite cloud images, adaptively learn the complex relationship between satellite cloud images and ground precipitation, and achieve precipitation estimation. This method can better identify precipitation areas compared to other precipitation products and methods, providing high-quality basic data support for meteorological services and technical research such as weather forecasting, climate prediction and early warning.”
    • Software Guide   Vol. 25, Issue 1, Pages: 17-25(2026)
    • DOI:10.11907/rjdk.241899    

      CLC: TP391
    • Received:27 November 2024,

      Published:15 January 2026

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  • ZHANG Mingliang,WU Xi,XIE Jin,et al.FY-4A Precipitation Estimation Method Based on Deep Learning[J].Software Guide,2026,25(01):17-25. DOI: 10.11907/rjdk.241899.

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