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Abstract: 3DRU-Net: An Efficient 3D CNN-based Framework for Global Sub-seasonal to Seasonal Precipitation Post-processing (AGU25)

3DRU-Net: An Efficient 3D CNN-based Framework for Global Sub-seasonal to Seasonal Precipitation Post-processing

Gyu HO NOH1, Sung-Hyun Yoon2 and Kuk-Hyun Ahn2, (1)Kongju National University, Gongju, Korea, Republic of (South), (2)Kongju University, Seobuk-gu, Cheonan-si, South Korea
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