Can Machine Learning Models Be a Suitable Tool for Predicting Central European Cold Winter Weather on Subseasonal to Seasonal Time Scales?
| dc.contributor.author | Kiefer, Selina M. | |
| dc.contributor.author | Lerch, Sebastian | |
| dc.contributor.author | Ludwig, Patrick | |
| dc.contributor.author | Pinto, Joaquim G. | |
| dc.date.accessioned | 2024-12-24T15:10:11Z | |
| dc.date.available | 2024-12-24T15:10:11Z | |
| dc.date.copyright | 01 Oct. 2023 | |
| dc.date.issued | 2023 | |
| dc.identifier.other | aies-AIES-D-23-0020.1.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301926 | |
| dc.language | English | |
| dc.publisher | American Meteorological Society | |
| dc.title | Can Machine Learning Models Be a Suitable Tool for Predicting Central European Cold Winter Weather on Subseasonal to Seasonal Time Scales? | |
| dc.type | Journal Paper | |
| dc.journal.volume | 2 | |
| dc.journal.issue | 4 | |
| dc.journal.title | Artificial Intelligence for the Earth Systems | |
| dc.identifier.doi | 10.1175/AIES-D-23-0020.1 | |
| dc.journal.lastpage | e230020 | |
| dc.tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004 | |
| dc.contenttype | Fulltext |