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dc.contributor.authorMcGovern, Amy
dc.contributor.authorGagne, David John
dc.contributor.authorWirz, Christopher D.
dc.contributor.authorEbert-Uphoff, Imme
dc.contributor.authorBostrom, Ann
dc.contributor.authorRao, Yuhan
dc.contributor.authorSchumacher, Andrea
dc.contributor.authorFlora, Montgomery
dc.contributor.authorChase, Randy
dc.contributor.authorMamalakis, Antonios
dc.contributor.authorMcGraw, Marie
dc.contributor.authorLagerquist, Ryan
dc.contributor.authorRedmon, Robert J.
dc.contributor.authorPeterson, Taysia
dc.date.accessioned2024-12-24T14:38:22Z
dc.date.available2024-12-24T14:38:22Z
dc.date.copyright01 Jun. 2023
dc.date.issued2023
dc.identifier.otherbams-BAMS-D-22-0225.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301087
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleTrustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School
dc.typeJournal Paper
dc.journal.volume104
dc.journal.issue6
dc.journal.titleBulletin of the American Meteorological Society
dc.identifier.doi10.1175/BAMS-D-22-0225.1
dc.journal.fristpageE1222
dc.journal.lastpageE1231
dc.treeBulletin of the American Meteorological Society:;2023:;volume( 104 ):;issue: 006
dc.contenttypeFulltext


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