TY - JOUR
T1 - The Role of the Stratosphere in Subseasonal to Seasonal Prediction
T2 - 2. Predictability Arising From Stratosphere-Troposphere Coupling
AU - Domeisen, Daniela I.V.
AU - Butler, Amy H.
AU - Charlton-Perez, Andrew J.
AU - Ayarzagüena, Blanca
AU - Baldwin, Mark P.
AU - Dunn-Sigouin, Etienne
AU - Furtado, Jason C.
AU - Garfinkel, Chaim I.
AU - Hitchcock, Peter
AU - Karpechko, Alexey Yu
AU - Kim, Hera
AU - Knight, Jeff
AU - Lang, Andrea L.
AU - Lim, Eun Pa
AU - Marshall, Andrew
AU - Roff, Greg
AU - Schwartz, Chen
AU - Simpson, Isla R.
AU - Son, Seok Woo
AU - Taguchi, Masakazu
N1 - Publisher Copyright:
©2019. American Geophysical Union. All Rights Reserved.
PY - 2020/1/27
Y1 - 2020/1/27
N2 - 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.
AB - 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.
KW - North Atlantic Oscillation
KW - S2S database
KW - stratosphere
KW - stratosphere - troposphere coupling
KW - sub-seasonal predictability
KW - sudden stratospheric warming
UR - http://www.scopus.com/inward/record.url?scp=85079427474&partnerID=8YFLogxK
U2 - 10.1029/2019JD030923
DO - 10.1029/2019JD030923
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AN - SCOPUS:85079427474
SN - 2169-897X
VL - 125
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 2
M1 - e2019JD030923
ER -