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dc.contributor.authorWu, Xiaobo
dc.contributor.authorHan, Guijun
dc.contributor.authorLi, Wei
dc.contributor.authorShao, Qi
dc.contributor.authorCao, Lige
dc.date.accessioned2024-12-24T13:58:49Z
dc.date.available2024-12-24T13:58:49Z
dc.date.copyright01 Feb. 2023
dc.date.issued2023
dc.identifier.otheratot-JTECH-D-22-0043.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299944
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleDeep Learning–Based Prediction of Kuroshio Path South of Japan
dc.typeJournal Paper
dc.journal.volume40
dc.journal.issue2
dc.journal.titleJournal of Atmospheric and Oceanic Technology
dc.identifier.doi10.1175/JTECH-D-22-0043.1
dc.journal.fristpage175
dc.journal.lastpage190
dc.treeJournal of Atmospheric and Oceanic Technology:;2023:;volume( 040 ):;issue: 002
dc.contenttypeFulltext


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