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Abstract: PUnet-CDR: A Deep Learning Framework for Reconstructing High-Resolution Global Precipitation Climate Data Records (AGU25)

PUnet-CDR: A Deep Learning Framework for Reconstructing High-Resolution Global Precipitation Climate Data Records

Phu Nguyen1, Vu Dao2, Tu Ung3, Mohammad bolboli Zadeh2, Claudia Jimenez Arellano4, Nazak Rouzegari2, Kuo-lin Hsu4, Amir AghaKouchak4, Soroosh Sorooshian4 and F Martin Ralph5, (1)University of California Irvine, Irvine, CA, United States, (2)University of California Irvine, Civil and Environmental Engineering, Irvine, CA, United States, (3)University of California Irvine, Civil and Environmental Engineering, Irvine, United States, (4)University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States, (5)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego, La Jolla, United States