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