| dc.contributor.author | Wu, Xiaobo | |
| dc.contributor.author | Han, Guijun | |
| dc.contributor.author | Li, Wei | |
| dc.contributor.author | Shao, Qi | |
| dc.contributor.author | Cao, Lige | |
| dc.date.accessioned | 2024-12-24T13:58:49Z | |
| dc.date.available | 2024-12-24T13:58:49Z | |
| dc.date.copyright | 01 Feb. 2023 | |
| dc.date.issued | 2023 | |
| dc.identifier.other | atot-JTECH-D-22-0043.1.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299944 | |
| dc.language | English | |
| dc.publisher | American Meteorological Society | |
| dc.title | Deep Learning–Based Prediction of Kuroshio Path South of Japan | |
| dc.type | Journal Paper | |
| dc.journal.volume | 40 | |
| dc.journal.issue | 2 | |
| dc.journal.title | Journal of Atmospheric and Oceanic Technology | |
| dc.identifier.doi | 10.1175/JTECH-D-22-0043.1 | |
| dc.journal.fristpage | 175 | |
| dc.journal.lastpage | 190 | |
| dc.tree | Journal of Atmospheric and Oceanic Technology:;2023:;volume( 040 ):;issue: 002 | |
| dc.contenttype | Fulltext | |