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dc.contributor.authorLagerquist, Ryan;Turner, David;Ebert-Uphoff, Imme;Stewart, Jebb;Hagerty, Venita
dc.date.accessioned2022-03-26T19:34:29Z
dc.date.available2022-03-26T19:34:29Z
dc.date.copyright01 Oct. 2021
dc.date.issued2021
dc.identifier.otherJTECH-D-21-0007.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4280268
dc.publisherAmerican Meteorological Society
dc.titleUsing Deep Learning to Emulate and Accelerate a Radiative Transfer Model
dc.typeJournal Paper
dc.journal.volume38
dc.journal.issue10
dc.journal.titleJournal of Atmospheric and Oceanic Technology
dc.identifier.doi10.1175/JTECH-D-21-0007.1
dc.journal.fristpage1673
dc.journal.lastpage1696
dc.treeJournal of Atmospheric and Oceanic Technology:;2021:;volume( 038 ):;issue: 010
dc.contenttypeFulltext


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