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dc.contributor.authorDomeisen, Daniela
dc.contributor.authorButler, Amy
dc.contributor.authorCharlton-Perez, Andrew
dc.contributor.authorAyarzaguena, Blanca
dc.contributor.authorBaldwin, Mark
dc.contributor.authorDunn-Sigouin, Etienne
dc.contributor.authorFurtado, Jason
dc.contributor.authorGarfinkel, Chaim
dc.contributor.authorHitchcock, Peter
dc.contributor.authorKarpechko, Alexey
dc.contributor.authorKim, Hera
dc.contributor.authorKnight, Jeff
dc.contributor.authorLang, Andrea
dc.contributor.authorLim, Eun-Pa
dc.contributor.authorMarshall, Andrew
dc.contributor.authorRoff, Greg
dc.contributor.authorSchwartz, Chen
dc.contributor.authorSimpson, Isla
dc.contributor.authorSon, Seok-Woo
dc.contributor.authorTaguchi, Masakazu
dc.date.accessioned2021-06-23T14:23:19Z
dc.date.available2021-06-23T14:23:19Z
dc.date.created2020-10-21T15:03:47Z
dc.date.issued2020
dc.identifier.issn2169-897X
dc.identifier.urihttps://hdl.handle.net/11250/2760941
dc.description.abstractThe stratosphere can have a significant impact on winter surface weather on subseasonal to seasonal (S2S) timescales. This study evaluates the ability of current operational S2S prediction systems to capture two important links between the stratosphere and troposphere: (1) changes in probabilistic prediction skill in the extratropical stratosphere by precursors in the tropics and the extratropical troposphere and (2) changes in surface predictability in the extratropics after stratospheric weak and strong vortex events. Probabilistic skill exists for stratospheric events when including extratropical tropospheric precursors over the North Pacific and Eurasia, though only a limited set of models captures the Eurasian precursors. Tropical teleconnections such as the Madden-Julian Oscillation, the Quasi-Biennial Oscillation, and El Niño–Southern Oscillation increase the probabilistic skill of the polar vortex strength, though these are only captured by a limited set of models. At the surface, predictability is increased over the United States, Russia, and the Middle East for weak vortex events, but not for Europe, and the change in predictability is smaller for strong vortex events for all prediction systems. Prediction systems with poorly resolved stratospheric processes represent this skill to a lesser degree. Altogether, the analyses indicate that correctly simulating stratospheric variability and stratosphere-troposphere dynamical coupling are critical elements for skillful S2S wintertime predictions.en_US
dc.language.isoengen_US
dc.publisherAGUen_US
dc.titleThe Role of the Stratosphere in Subseasonal to Seasonal Prediction: 2. Predictability Arising From Stratosphere-Troposphere Couplingen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2019. American Geophysical Union. All Rights Reserved.en_US
dc.source.articlenumbere2019JD030923en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.doihttps://doi.org/10.1029/2019JD030923
dc.identifier.cristin1841261
dc.source.journalJournal of Geophysical Research (JGR): Atmospheresen_US
dc.identifier.citationJournal of Geophysical Research (JGR): Atmospheres. 2020, 125, e2019JD030923en_US
dc.source.volume125en_US


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