A Hybrid Physics–AI Model to Improve Hydrological Forecasts
| dc.contributor.author | Duan, Yanan | |
| dc.contributor.author | Akula, Sathish | |
| dc.contributor.author | Kumar, Sanjiv | |
| dc.contributor.author | Lee, Wonjun | |
| dc.contributor.author | Khajehei, Sepideh | |
| dc.date.accessioned | 2023-08-15T10:40:45Z | |
| dc.date.available | 2023-08-15T10:40:45Z | |
| dc.date.copyright | 01 Jan. 2023 | |
| dc.date.issued | 2023 | |
| dc.identifier.other | AIES-D-22-0023.1.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290771 | |
| dc.language | English | |
| dc.publisher | American Meteorological Society | |
| dc.title | A Hybrid Physics–AI Model to Improve Hydrological Forecasts | |
| dc.type | Journal Paper | |
| dc.journal.volume | 2 | |
| dc.journal.issue | 1 | |
| dc.journal.title | Artificial Intelligence for the Earth Systems | |
| dc.identifier.doi | 10.1175/AIES-D-22-0023.1 | |
| dc.page | e220023 | |
| dc.tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001 | |
| dc.contenttype | Fulltext |