Prospects for Machine Learning Activity within the United States National Weather ServiceSource: Bulletin of the American Meteorological Society:;2023:;volume( 104 ):;issue: 007::page E1333DOI: 10.1175/BAMS-D-22-0181.1Publisher: American Meteorological Society
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| contributor author | Roebber, Paul J. | |
| contributor author | Smith, Stephan | |
| date accessioned | 2024-12-24T14:39:28Z | |
| date available | 2024-12-24T14:39:28Z | |
| date copyright | 01 Jul. 2023 | |
| date issued | 2023 | |
| identifier other | bams-BAMS-D-22-0181.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301117 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Prospects for Machine Learning Activity within the United States National Weather Service | |
| type | Journal Paper | |
| journal volume | 104 | |
| journal issue | 7 | |
| journal title | Bulletin of the American Meteorological Society | |
| identifier doi | 10.1175/BAMS-D-22-0181.1 | |
| journal fristpage | E1333 | |
| journal lastpage | E1344 | |
| tree | Bulletin of the American Meteorological Society:;2023:;volume( 104 ):;issue: 007 | |
| contenttype | Fulltext |