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