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


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