Synergizing AI and Physical Expertise to Close the Water Budget from Satellite DataSource: Journal of Hydrometeorology:;2024:;volume( 025 ):;issue: 009::page 1303DOI: 10.1175/JHM-D-23-0001.1Publisher: American Meteorological Society
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| contributor author | Aires, Filipe | |
| contributor author | Pellet, Victor | |
| date accessioned | 2024-12-24T15:01:58Z | |
| date available | 2024-12-24T15:01:58Z | |
| date copyright | 01 Sep. 2024 | |
| date issued | 2024 | |
| identifier other | hydr-JHM-D-23-0001.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301711 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Synergizing AI and Physical Expertise to Close the Water Budget from Satellite Data | |
| type | Journal Paper | |
| journal volume | 25 | |
| journal issue | 9 | |
| journal title | Journal of Hydrometeorology | |
| identifier doi | 10.1175/JHM-D-23-0001.1 | |
| journal fristpage | 1303 | |
| journal lastpage | 1321 | |
| tree | Journal of Hydrometeorology:;2024:;volume( 025 ):;issue: 009 | |
| contenttype | Fulltext |