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Validating GOES Radar Estimation via Machine Learning to Inform NWP (GREMLIN) Product over CONUS

dc.contributor.authorLee, Yoonjin
dc.contributor.authorHilburn, Kyle
dc.date.accessioned2024-12-24T14:18:33Z
dc.date.available2024-12-24T14:18:33Z
dc.date.copyright01 Mar. 2024
dc.date.issued2024
dc.identifier.otherapme-JAMC-D-23-0103.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4300518
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleValidating GOES Radar Estimation via Machine Learning to Inform NWP (GREMLIN) Product over CONUS
dc.typeJournal Paper
dc.journal.volume63
dc.journal.issue3
dc.journal.titleJournal of Applied Meteorology and Climatology
dc.identifier.doi10.1175/JAMC-D-23-0103.1
dc.journal.fristpage471
dc.journal.lastpage486
dc.treeJournal of Applied Meteorology and Climatology:;2024:;volume( 063 ):;issue: 003
dc.contenttypeFulltext


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