Exploring the Use of Machine Learning to Improve Vertical Profiles of Temperature and MoistureSource: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001DOI: 10.1175/AIES-D-22-0090.1Publisher: American Meteorological Society
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| contributor author | Haynes, Katherine | |
| contributor author | Stock, Jason | |
| contributor author | Dostalek, Jack | |
| contributor author | Anderson, Charles | |
| contributor author | Ebert-Uphoff, Imme | |
| date accessioned | 2024-12-24T15:16:07Z | |
| date available | 2024-12-24T15:16:07Z | |
| date copyright | 01 Jan. 2024 | |
| date issued | 2024 | |
| identifier other | aies-AIES-D-22-0090.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4302081 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Exploring the Use of Machine Learning to Improve Vertical Profiles of Temperature and Moisture | |
| type | Journal Paper | |
| journal volume | 3 | |
| journal issue | 1 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-22-0090.1 | |
| journal lastpage | e220090 | |
| tree | Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001 | |
| contenttype | Fulltext |