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