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