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Deriving Severe Hail Likelihood from Satellite Observations and Model Reanalysis Parameters Using a Deep Neural Network

dc.contributor.authorScarino, Benjamin
dc.contributor.authorItterly, Kyle
dc.contributor.authorBedka, Kristopher
dc.contributor.authorHomeyer, Cameron R.
dc.contributor.authorAllen, John
dc.contributor.authorBang, Sarah
dc.contributor.authorCecil, Daniel
dc.date.accessioned2024-12-24T15:02:36Z
dc.date.available2024-12-24T15:02:36Z
dc.date.copyright01 Oct. 2023
dc.date.issued2023
dc.identifier.otheraies-AIES-D-22-0042.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301726
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleDeriving Severe Hail Likelihood from Satellite Observations and Model Reanalysis Parameters Using a Deep Neural Network
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue4
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-22-0042.1
dc.journal.lastpage220042
dc.treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004
dc.contenttypeFulltext


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