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Perspectives on AI Architectures and Codesign for Earth System Predictability

dc.contributor.authorMudunuru, Maruti K.
dc.contributor.authorAng, James
dc.contributor.authorHalappanavar, Mahantesh
dc.contributor.authorHammond, Simon D.
dc.contributor.authorGokhale, Maya B.
dc.contributor.authorHoe, James C.
dc.contributor.authorKrishna, Tushar
dc.contributor.authorSreepathi, Sarat
dc.contributor.authorNorman, Matthew R.
dc.contributor.authorPeng, Ivy B.
dc.contributor.authorJones, Philip W.
dc.date.accessioned2024-12-24T15:20:39Z
dc.date.available2024-12-24T15:20:39Z
dc.date.copyright01 Jan. 2024
dc.date.issued2024
dc.identifier.otheraies-AIES-D-23-0029.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302204
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titlePerspectives on AI Architectures and Codesign for Earth System Predictability
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue1
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-23-0029.1
dc.journal.lastpagee230029
dc.treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001
dc.contenttypeFulltext


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