A Machine Learning Approach to Model Over-Ocean Tropical Cyclone Precipitation
| dc.contributor.author | Lockwood, Joseph W. | |
| dc.contributor.author | Loridan, Thomas | |
| dc.contributor.author | Lin, Ning | |
| dc.contributor.author | Oppenheimer, Michael | |
| dc.contributor.author | Hannah, Nic | |
| dc.date.accessioned | 2024-12-24T15:02:53Z | |
| dc.date.available | 2024-12-24T15:02:53Z | |
| dc.date.copyright | 01 Jan. 2024 | |
| dc.date.issued | 2024 | |
| dc.identifier.other | hydr-JHM-D-23-0065.1.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301734 | |
| dc.language | English | |
| dc.publisher | American Meteorological Society | |
| dc.title | A Machine Learning Approach to Model Over-Ocean Tropical Cyclone Precipitation | |
| dc.type | Journal Paper | |
| dc.journal.volume | 25 | |
| dc.journal.issue | 1 | |
| dc.journal.title | Journal of Hydrometeorology | |
| dc.identifier.doi | 10.1175/JHM-D-23-0065.1 | |
| dc.journal.fristpage | 207 | |
| dc.journal.lastpage | 221 | |
| dc.tree | Journal of Hydrometeorology:;2024:;volume( 025 ):;issue: 001 | |
| dc.contenttype | Fulltext |