Short-term Precipitation Forecast Correction in Beijing-Tianjin-Hebei Region Based on Deep Learning

Short-term Precipitation Forecast Correction in Beijing-Tianjin-Hebei Region Based on Deep Learning

To enhance the quality of short-term precipitation forecast in Beijing-Tianjin-Hebei Region, a U-Net deep learning model is employed to correct short-term precipitation forecasts of 3-12 h based on the forecasting data of INCA (Integrated Nowcasting through Comprehensive Analysis) System and observa...

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Bibliographic Details
Main Authors: Wang Yuhong, Kong Dexuan, Zhu Shoupeng, Zhang Nan, Ji Yan, Zhang Shan, Xu Huan
Format: Article
Language:English
Published: Editorial Office of Journal of Applied Meteorological Science 2025-05-01
Series:应用气象学报
Subjects:
deep learning
loss function
influence factors
forecast correction
Online Access:http://qikan.camscma.cn/en/article/doi/10.11898/1001-7313.20250301
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http://qikan.camscma.cn/en/article/doi/10.11898/1001-7313.20250301

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