The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Partial-CNN-based Spatial Restoration Using Predicted Station Data (AGU25)

Partial-CNN-based Spatial Restoration Using Predicted Station Data

Juyong Lee, Daeryun Choi, Seung-Hee Han, Jeong-Beom Lee, Jin-Goo Kang and Hui-Young YUn, Anyang University, Anyang, South Korea
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