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Improved Diagnosis of Precipitation Type with LightGBM Machine Learning

dc.contributor.authorZhuang, Haoyu (Richard)
dc.contributor.authorLehner, Flavio
dc.contributor.authorDeGaetano, Arthur T.
dc.date.accessioned2024-12-24T14:18:38Z
dc.date.available2024-12-24T14:18:38Z
dc.date.copyright01 Mar. 2024
dc.date.issued2024
dc.identifier.otherapme-JAMC-D-23-0117.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4300521
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleImproved Diagnosis of Precipitation Type with LightGBM Machine Learning
dc.typeJournal Paper
dc.journal.volume63
dc.journal.issue3
dc.journal.titleJournal of Applied Meteorology and Climatology
dc.identifier.doi10.1175/JAMC-D-23-0117.1
dc.journal.fristpage437
dc.journal.lastpage453
dc.treeJournal of Applied Meteorology and Climatology:;2024:;volume( 063 ):;issue: 003
dc.contenttypeFulltext


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