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Surrogate Downscaling of Mesoscale Wind Fields Using Ensemble Superresolution Convolutional Neural Networks

dc.contributor.authorSekiyama, Tsuyoshi Thomas
dc.contributor.authorHayashi, Syugo
dc.contributor.authorKaneko, Ryo
dc.contributor.authorFukui, Ken-ichi
dc.date.accessioned2024-12-24T15:02:59Z
dc.date.available2024-12-24T15:02:59Z
dc.date.copyright01 Jul. 2023
dc.date.issued2023
dc.identifier.otheraies-AIES-D-23-0007.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301737
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleSurrogate Downscaling of Mesoscale Wind Fields Using Ensemble Superresolution Convolutional Neural Networks
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue3
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-23-0007.1
dc.journal.lastpage230007
dc.treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 003
dc.contenttypeFulltext


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