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dc.contributor.author
Domeisen, Daniela
dc.contributor.author
Butler, Amy H.
dc.contributor.author
Charlton-Perez, Andrew
dc.contributor.author
Ayarzagüena, Blanca
dc.contributor.author
Baldwin, Mark P.
dc.contributor.author
Dunn-Sigouin, Etienne
dc.contributor.author
Furtado, Jason C.
dc.contributor.author
Garfinkel, Chaim I.
dc.contributor.author
Hitchcock, Peter
dc.contributor.author
Karpechko, Alexey Yu.
dc.contributor.author
Kim, Hera
dc.contributor.author
Knight, Jeff
dc.contributor.author
Lang, Andrea L.
dc.contributor.author
Lim, Eun‐Pa
dc.contributor.author
Marshall, Andrew
dc.contributor.author
Roff, Greg
dc.contributor.author
Schwartz, Chen
dc.contributor.author
Simpson, Isla R.
dc.contributor.author
Son, Seok-Woo
dc.contributor.author
Taguchi, Masakazu
dc.date.accessioned
2020-11-09T07:48:24Z
dc.date.available
2019-11-22T16:22:31Z
dc.date.available
2019-11-25T12:04:45Z
dc.date.available
2020-01-24T18:24:47Z
dc.date.available
2020-11-09T07:48:24Z
dc.date.issued
2020-01-27
dc.identifier.issn
0148-0227
dc.identifier.issn
2169-897X
dc.identifier.other
10.1029/2019jd030923
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/379898
dc.description.abstract
The 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.
dc.language.iso
en
en_US
dc.publisher
Wiley
en_US
dc.subject
stratosphere
en_US
dc.subject
sub‐seasonal predictability
en_US
dc.subject
S2S database
en_US
dc.subject
sudden stratospheric warming
en_US
dc.subject
stratosphere ‐ troposphere coupling
en_US
dc.subject
North Atlantic Oscillation
en_US
dc.title
The role of the stratosphere in subseasonal to seasonal prediction: 2. Predictability arising from stratosphere ‐ troposphere coupling
en_US
dc.type
Journal Article
dc.date.published
2019-11-18
ethz.journal.title
Journal of Geophysical Research: Atmospheres
ethz.journal.volume
125
en_US
ethz.journal.issue
2
en_US
ethz.journal.abbreviated
J. geophys. res., Atmos.
ethz.pages.start
e2019JD030923
en_US
ethz.size
20 p.
en_US
ethz.grant
Improving the Prediction of Sub-seasonal to Seasonal Weather and Climate – From Theory to Application
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Hoboken, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::09612 - Domeisen, Daniela / Domeisen, Daniela
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::09612 - Domeisen, Daniela / Domeisen, Daniela
en_US
ethz.grant.agreementno
170523
ethz.grant.agreementno
170523
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
SNF-Förderungsprofessuren Stufe 2
ethz.relation.continues
handle/20.500.11850/379897
ethz.date.deposited
2019-11-22T16:22:40Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-01-24T18:24:59Z
ethz.rosetta.lastUpdated
2023-02-06T20:59:20Z
ethz.rosetta.versionExported
true
ethz.COinS
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