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Author

Li-Ling Zhao

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2026

Physics-Data-Coupled Network for Typhoon Satellite Cloud Image Sequence Prediction

Accurate prediction of typhoon satellite cloud image sequences is essential for short-term typhoon monitoring and forecasting, including center localization, intensity estimation, and evolution analysis. Although deep learning methods have been widely used for typhoon satellite cloud image sequence prediction, they oft...

Li-Ling Zhao, Xin-Yue Wang, Run-Ling Yu et al. · 0 citations
Jul 2026

DPCD-Net: Data-Physics Co-Driven Network for Tropical Cyclone Trajectory and Intensity Prediction

A Data-Physics Co-Driven Network (DPCD-Net) based on a generative adversarial framework for TC trajectory and intensity prediction is proposed and demonstrated that the proposed method achieves superior trajectory and intensity prediction performance, particularly at 12 h and 24 h lead times.

Li-Ling Zhao, Xuan Jing, Runling Yu et al. · 0 citations

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