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Improving Seasonal Prediction of Summer Precipitation in the Middle–Lower Reaches of the Yangtze River Using a TU-Net Deep Learning Approach

dc.contributor.authorYang, Shuxian
dc.contributor.authorLing, Fenghua
dc.contributor.authorLi, Yue
dc.contributor.authorLuo, Jing-Jia
dc.date.accessioned2024-12-24T15:00:00Z
dc.date.available2024-12-24T15:00:00Z
dc.date.copyright01 Apr. 2023
dc.date.issued2023
dc.identifier.otheraies-AIES-D-22-0078.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301660
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleImproving Seasonal Prediction of Summer Precipitation in the Middle–Lower Reaches of the Yangtze River Using a TU-Net Deep Learning Approach
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue2
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-22-0078.1
dc.journal.lastpage220078
dc.treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002
dc.contenttypeFulltext


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