Deep Learning for Postprocessing Global Probabilistic Forecasts on Subseasonal Time ScalesSource: Monthly Weather Review:;2024:;volume( 152 ):;issue: 003::page 667DOI: 10.1175/MWR-D-23-0150.1Publisher: American Meteorological Society
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| contributor author | Horat, Nina | |
| contributor author | Lerch, Sebastian | |
| date accessioned | 2024-12-24T14:57:10Z | |
| date available | 2024-12-24T14:57:10Z | |
| date copyright | 01 Mar. 2024 | |
| date issued | 2024 | |
| identifier other | mwre-MWR-D-23-0150.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301583 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Deep Learning for Postprocessing Global Probabilistic Forecasts on Subseasonal Time Scales | |
| type | Journal Paper | |
| journal volume | 152 | |
| journal issue | 3 | |
| journal title | Monthly Weather Review | |
| identifier doi | 10.1175/MWR-D-23-0150.1 | |
| journal fristpage | 667 | |
| journal lastpage | 687 | |
| tree | Monthly Weather Review:;2024:;volume( 152 ):;issue: 003 | |
| contenttype | Fulltext |