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Quantifying the Predictability of ENSO Complexity Using a Statistically Accurate Multiscale Stochastic Model and Information Theory

dc.contributor.authorFang, Xianghui
dc.contributor.authorChen, Nan
dc.date.accessioned2024-12-24T15:08:24Z
dc.date.available2024-12-24T15:08:24Z
dc.date.copyright15 Apr. 2023
dc.date.issued2023
dc.identifier.otherclim-JCLI-D-22-0151.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301874
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleQuantifying the Predictability of ENSO Complexity Using a Statistically Accurate Multiscale Stochastic Model and Information Theory
dc.typeJournal Paper
dc.journal.volume36
dc.journal.issue8
dc.journal.titleJournal of Climate
dc.identifier.doi10.1175/JCLI-D-22-0151.1
dc.journal.fristpage2681
dc.journal.lastpage2702
dc.treeJournal of Climate:;2023:;volume( 036 ):;issue: 008
dc.contenttypeFulltext


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