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dc.contributor.authorTirone, Elizabeth
dc.contributor.authorPal, Subrata
dc.contributor.authorGallus, William A.
dc.contributor.authorDutta, Somak
dc.contributor.authorMaitra, Ranjan
dc.contributor.authorNewman, Jennifer
dc.contributor.authorWeber, Eric
dc.contributor.authorJirak, Israel
dc.date.accessioned2024-12-24T14:42:47Z
dc.date.available2024-12-24T14:42:47Z
dc.date.copyright01 Mar. 2024
dc.date.issued2024
dc.identifier.otherbams-BAMS-D-22-0268.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301208
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleA Machine Learning Approach to Improve the Usability of Severe Thunderstorm Wind Reports
dc.typeJournal Paper
dc.journal.volume105
dc.journal.issue3
dc.journal.titleBulletin of the American Meteorological Society
dc.identifier.doi10.1175/BAMS-D-22-0268.1
dc.journal.fristpageE623
dc.journal.lastpageE638
dc.treeBulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 003
dc.contenttypeFulltext


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