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dc.contributor.authorMassoud, Elias C.
dc.contributor.authorHoffman, Forrest
dc.contributor.authorShi, Zheng
dc.contributor.authorTang, Jinyun
dc.contributor.authorAlhajjar, Elie
dc.contributor.authorBarnes, Mallory
dc.contributor.authorBraghiere, Renato K.
dc.contributor.authorCardon, Zoe
dc.contributor.authorCollier, Nathan
dc.contributor.authorCrompton, Octavia
dc.contributor.authorDennedy-Frank, P. James
dc.contributor.authorGautam, Sagar
dc.contributor.authorGonzalez-Meler, Miquel A.
dc.contributor.authorGreen, Julia K.
dc.contributor.authorKove
dc.date.accessioned2024-12-24T15:06:07Z
dc.date.available2024-12-24T15:06:07Z
dc.date.copyright01 Oct. 2023
dc.date.issued2023
dc.identifier.otheraies-AIES-D-23-0005.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301826
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titlePerspectives on Artificial Intelligence for Predictions in Ecohydrology
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue4
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-23-0005.1
dc.journal.lastpagee230005
dc.treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004
dc.contenttypeFulltext


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