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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

dc.contributor.authorFlora, Montgomery L.
dc.contributor.authorGallo, Burkely
dc.contributor.authorPotvin, Corey K.
dc.contributor.authorClark, Adam J.
dc.contributor.authorWilson, Katie
dc.date.accessioned2024-12-24T13:57:47Z
dc.date.available2024-12-24T13:57:47Z
dc.date.copyright01 Jul. 2024
dc.date.issued2024
dc.identifier.otherwefo-WAF-D-24-0038.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299910
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleExploring 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
dc.typeJournal Paper
dc.journal.volume39
dc.journal.issue7
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-24-0038.1
dc.journal.fristpage1023
dc.journal.lastpage1044
dc.treeWeather and Forecasting:;2024:;volume( 039 ):;issue: 007
dc.contenttypeFulltext


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