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dc.contributor.author신나연-
dc.contributor.authorYoo-Geun Ham-
dc.contributor.authorJeong-Hwan Kim-
dc.contributor.author조민수-
dc.contributor.author국종성-
dc.date.accessioned2023-07-11T04:21:08Z-
dc.date.available2023-07-11T04:21:08Z-
dc.date.created2023-01-06-
dc.date.issued2022-10-
dc.identifier.issn2769-7525-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/117937-
dc.languageEnglish-
dc.publisherAmerican Meteorological Society-
dc.relation.isPartOfArtificial Intelligence for the Earth Systems-
dc.titleApplications of deep learning to understanding ENSO dynamics-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.bibliographicCitationArtificial Intelligence for the Earth Systems-
dc.citation.titleArtificial Intelligence for the Earth Systems-
dc.contributor.affiliatedAuthor신나연-
dc.contributor.affiliatedAuthor조민수-
dc.contributor.affiliatedAuthor국종성-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-

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