| contributor author | Thomas L. Gard | |
| contributor author | Henry E. Fuelberg | |
| contributor author | John L. Cintineo | |
| date accessioned | 2023-04-12T18:25:41Z | |
| date available | 2023-04-12T18:25:41Z | |
| date copyright | 2022/09/01 | |
| date issued | 2022 | |
| identifier other | WAF-D-22-0003.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4289647 | |
| description abstract | Pulse severe storms are single-cell thunderstorms that produce severe wind and/or severe hail for a brief period of time. These storms pose a major warm season forecasting problem since forecasters presently do not have sufficient guidance to know which, if any, of the cells that are observed will become severe. The empirical Probability of Severe (ProbSevere) model, developed by the Cooperative Institute for Meteorological Satellite Studies (CIMSS), fuses real-time data to produce short-term (0–60 min), statistically derived probabilistic forecasts of thunderstorm intensity. This study evaluates the ability of ProbSevere to predict pulse severe storms in the southeast United States. ProbSevere objects fitting the usual definition of a pulse severe environment were matched with severe events from | |
| publisher | American Meteorological Society | |
| title | The Utility of ProbSevere v2.0 for Predicting Pulse Severe Thunderstorms | |
| type | Journal Paper | |
| journal volume | 37 | |
| journal issue | 9 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/WAF-D-22-0003.1 | |
| journal fristpage | 1601 | |
| journal lastpage | 1613 | |
| page | 1601–1613 | |
| tree | Weather and Forecasting:;2022:;volume( 037 ):;issue: 009 | |
| contenttype | Fulltext | |
