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The Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning–Based Weather Forecasts in an Operational-Like Context

dc.contributor.authorBen Bouallègue, Zied
dc.contributor.authorClare, Mariana C. A.
dc.contributor.authorMagnusson, Linus
dc.contributor.authorGascón, Estibaliz
dc.contributor.authorMaier-Gerber, Michael
dc.contributor.authorJanoušek, Martin
dc.contributor.authorRodwell, Mark
dc.contributor.authorPinault, Florian
dc.contributor.authorDramsch, Jesper S.
dc.contributor.authorLang, Simon T. K.
dc.contributor.authorRaoult, Baudouin
dc.contributor.authorRabier, Florence
dc.contributor.authorChevallier, Matthieu
dc.contributor.authorSan
dc.date.accessioned2024-12-24T14:44:23Z
dc.date.available2024-12-24T14:44:23Z
dc.date.copyright01 Jun. 2024
dc.date.issued2024
dc.identifier.otherbams-BAMS-D-23-0162.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301251
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleThe Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning–Based Weather Forecasts in an Operational-Like Context
dc.typeJournal Paper
dc.journal.volume105
dc.journal.issue6
dc.journal.titleBulletin of the American Meteorological Society
dc.identifier.doi10.1175/BAMS-D-23-0162.1
dc.journal.fristpageE864
dc.journal.lastpageE883
dc.treeBulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 006
dc.contenttypeFulltext


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