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Statistical Treatment of Convolutional Neural Network Superresolution of Inland Surface Wind for Subgrid-Scale Variability Quantification

dc.contributor.authorGetter, Daniel
dc.contributor.authorBessac, Julie
dc.contributor.authorRudi, Johann
dc.contributor.authorFeng, Yan
dc.date.accessioned2024-12-24T15:17:49Z
dc.date.available2024-12-24T15:17:49Z
dc.date.copyright01 Jan. 2024
dc.date.issued2024
dc.identifier.otheraies-AIES-D-23-0009.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302126
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleStatistical Treatment of Convolutional Neural Network Superresolution of Inland Surface Wind for Subgrid-Scale Variability Quantification
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue1
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-23-0009.1
dc.journal.lastpagee230009
dc.treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001
dc.contenttypeFulltext


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