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dc.contributor.authorSandmæl, Thea N.
dc.contributor.authorSmith, Brandon R.
dc.contributor.authorReinhart, Anthony E.
dc.contributor.authorSchick, Isaiah M.
dc.contributor.authorAke, Marcus C.
dc.contributor.authorMadden, Jonathan G.
dc.contributor.authorSteeves, Rebecca B.
dc.contributor.authorWilliams, Skylar S.
dc.contributor.authorElmore, Kimberly L.
dc.contributor.authorMeyer, Tiffany C.
dc.date.accessioned2023-08-15T11:04:38Z
dc.date.available2023-08-15T11:04:38Z
dc.date.copyright01 Mar. 2023
dc.date.issued2023
dc.identifier.otherWAF-D-22-0123.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4291234
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleThe Tornado Probability Algorithm: A Probabilistic Machine Learning Tornadic Circulation Detection Algorithm
dc.typeJournal Paper
dc.journal.volume38
dc.journal.issue3
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-22-0123.1
dc.page466-445
dc.treeWeather and Forecasting:;2023:;volume( 038 ):;issue: 003
dc.contenttypeFulltext


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