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Long-Term Changes, Synoptic Behaviors, and Future Projections of Large-Scale Anomalous Precipitation Events in China Detected by a Deep Learning Autoencoder

dc.contributor.authorHuang, Zeqin
dc.contributor.authorTan, Xuezhi
dc.contributor.authorWu, Xinxin
dc.contributor.authorTan, Xuejin
dc.contributor.authorFu, Jianyu
dc.contributor.authorLiu, Bingjun
dc.date.accessioned2024-12-24T15:18:42Z
dc.date.available2024-12-24T15:18:42Z
dc.date.copyright15 Jun. 2023
dc.date.issued2023
dc.identifier.otherclim-JCLI-D-22-0737.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302150
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleLong-Term Changes, Synoptic Behaviors, and Future Projections of Large-Scale Anomalous Precipitation Events in China Detected by a Deep Learning Autoencoder
dc.typeJournal Paper
dc.journal.volume36
dc.journal.issue12
dc.journal.titleJournal of Climate
dc.identifier.doi10.1175/JCLI-D-22-0737.1
dc.journal.fristpage4133
dc.journal.lastpage4149
dc.treeJournal of Climate:;2023:;volume( 036 ):;issue: 012
dc.contenttypeFulltext


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