Tropospheric Role in the Predictability of the Surface Impact of the 2018 Sudden Stratospheric Warming Event

Sudden stratospheric warmings (SSWs) can have a strong impact on the troposphere. Their fingerprint is often associated with the negative phase of the Northern Annular Mode (NAM) and the North Atlantic Oscillation (NAO), and extreme weather with high societal impact. However, the mechanisms behind t...

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Bibliographic Details
Published in:Geophysical Research Letters
Main Authors: González-Alemán, Juan Jesús, Grams, Christian M., Ayarzagüena, Blanca, Zurita Gotor, Pablo, Domeisen, Daniela I. V., Gómara, Íñigo, Rodríguez Fonseca, Belén, Vitart, Frédéric
Format: Article in Journal/Newspaper
Language:English
Published: Wiley Open Access 2022
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Online Access:https://hdl.handle.net/20.500.11765/15148
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Summary:Sudden stratospheric warmings (SSWs) can have a strong impact on the troposphere. Their fingerprint is often associated with the negative phase of the Northern Annular Mode (NAM) and the North Atlantic Oscillation (NAO), and extreme weather with high societal impact. However, the mechanisms behind this downward impact are not well understood. We investigate this surface impact through its associated predictability limits, by studying the 2018 SSW event. We search for predictability barriers that occurred after the onset of the SSW and before its surface impact. It is found that dynamical tropospheric events consisting of two cyclogenesis events were the main reasons for these predictability barriers in the prediction of negative NAM/NAO anomalies reaching the surface. This work corroborates that individual synoptic events might constitute predictability barriers during the downward impact of SSW events, and thereby sheds light on stratosphere-troposphere coupling. JJGA is funded through FJC2018-035821-I and PID2019-107125RB-I00 by the Spanish State Agency of Research, co-funded by the European Social Fund. CMG is funded by the Helmholtz Association (SPREADOUT; grant VH-NG-1243). Support from the Swiss National Science Foundation (PP00P2_170523) to DD is gratefully acknowledged. IG and BRF are supported by the EU H2020 project NextGEMS (No. 101003470) and the Spanish Ministry of Economy and Competitiveness project PRE4CAST (CGL2017-86415-R). PZ is supported by grant PID2019- 109107GB-I00 and BA is supported through the JeDiS (RTI2018-096402- B-I00) project both funded by the Spanish Ministry of Science, Innovation and Universities.