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Jingyin Tang

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Articles

CSU-PCAST: a dual-branch transformer framework for medium-range ensemble precipitation forecasting

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By Tianyi Xiong, Haonan Chen, Kelly Mahoney, Tim Smith Verified, Janice Bytheway, Jingyin Tang
| Nature Verified
Abstract Accurate medium-range precipitation forecasting is important for hydrometeorological risk management and disaster mitigation, yet remains challenging for numerical weather prediction and data-driven systems, particularly for precipitation intensity, spatial structure, and ensemble reliability at longer lead times. This study develops CSU-PCAST, a deep learning-based ensemble forecasting framework for global 6-h precipitation prediction.
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