Exploring the Usefulness of Machine Learning Severe Weather Guidance in the Warn-on-Forecast System: Results from the 2022 NOAA Hazardous Weather Testbed Spring Forecasting Experiment
| contributor author | Flora, Montgomery L. | |
| contributor author | Gallo, Burkely | |
| contributor author | Potvin, Corey K. | |
| contributor author | Clark, Adam J. | |
| contributor author | Wilson, Katie | |
| date accessioned | 2024-12-24T13:57:47Z | |
| date available | 2024-12-24T13:57:47Z | |
| date copyright | 01 Jul. 2024 | |
| date issued | 2024 | |
| identifier other | wefo-WAF-D-24-0038.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299910 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Exploring the Usefulness of Machine Learning Severe Weather Guidance in the Warn-on-Forecast System: Results from the 2022 NOAA Hazardous Weather Testbed Spring Forecasting Experiment | |
| type | Journal Paper | |
| journal volume | 39 | |
| journal issue | 7 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/WAF-D-24-0038.1 | |
| journal fristpage | 1023 | |
| journal lastpage | 1044 | |
| tree | Weather and Forecasting:;2024:;volume( 039 ):;issue: 007 | |
| contenttype | Fulltext |
