Stratospheric impacts on weather regimes following the 2018 and 2019 Sudden Stratospheric Warmings

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Lee, R. W. ORCID: https://orcid.org/0000-0002-1946-5559, Charlton-Perez, A. J. ORCID: https://orcid.org/0000-0001-8179-6220 and Lee, S. H. (2025) Stratospheric impacts on weather regimes following the 2018 and 2019 Sudden Stratospheric Warmings. Geophysical Research Letters. ISSN 0094-8276 (In Press)

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To link to this item DOI: 10.1029/2025GL115668

Abstract/Summary

Major disruptions of the stratospheric polar vortex can improve subseasonal forecast skill for surface climate, as negative North Atlantic Oscillation-like (NAO−) states can follow sudden stratospheric warmings (SSWs). Yet most insights come from observational studies or large operational forecast archives. Here we use Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project experiments, which applies stratospheric nudging to forecasts of two SSWs (2018 and 2019) followed by differing tropospheric evolutions. We show that SSWs systematically shift the atmosphere toward negative NAO-like regimes (stronger Greenland anticyclone) in both the North Atlantic-European and North American regions. Comparisons among nudged, free, and control runs quantify the benefits of improving and removing SSW representation in diagnosing tropospheric regime shifts. In 2018, accurate stratospheric representation improved weather regime forecasts. However, in 2019, despite persistent observed ridged regimes, nudged SSWs still induced negative NAO-like patterns, implying that subseasonal models sometimes underrepresent other teleconnections and overrepresent stratosphere-troposphere coupling.

Item Type:	Article
Refereed:	Yes
Divisions:	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:	123726
Uncontrolled Keywords:	Subseasonal, S2S, Teleconnections, Ensembles, Stratosphere-troposphere coupling, SNAPSI
Publisher:	American Geophysical Union

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• Anstey, J., Kharin, V., & Sigmond, M. (2025): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the CanESM5 model at CCCma. NERC EDS Centre for Environmental Data Analysis, [Dataset]. http://catalogue.ceda.ac.uk/uuid/01dac4c57559407fb40292389c386d30/ • Baldwin, M. P., & Dunkerton, T. J. (2001). Stratospheric Harbingers of Anomalous Weather Regimes. Science, 294(5542), 581–584. doi:10.1126/science.1063315 • Baldwin, M. P., Stephenson, D. B., Thompson, D. W., Dunkerton, T. J., Charlton, A. J., & O’Neill, A. (2003). Stratospheric Memory and Skill of Extended-Range Weather Forecasts. Science, 301(5633), 636–640. doi:10.1126/science.1087143 • Baldwin, M. P., Birner, T., & Ayarzagüena, B. (2024). Tropospheric amplification of stratosphere–troposphere coupling. Quarterly Journal of the Royal Meteorological Society, 150(765), 5188–5205. doi:10.1002/qj.4864 • Barton, C. (2025): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the NAVGEM model at NRL. NERC EDS Centre for Environmental Data Analysis, [Dataset]. http://catalogue.ceda.ac.uk/uuid/ecad5261e8d446bfa842b4b7a227d5b0/ • Beerli, R., & Grams, C. M. (2019). Stratospheric modulation of the large‐scale circulation in the Atlantic–European region and its implications for surface weather events. Quarterly Journal of the Royal Meteorological Society, 145(725), 3732–3750. doi:10.1002/qj.3653 • Butler, A. H., Lawrence, Z. D., Lee, S. H., Lillo, S. P., & Long, C. S. (2020). Differences between the 2018 and 2019 stratospheric polar vortex split events. Quarterly Journal of the Royal Meteorological Society, 146(732), 3503–3521. https://doi.org/10.1002/qj.3858 • Cassou, C. (2008). Intraseasonal interaction between the Madden–Julian Oscillation and the North Atlantic Oscillation. Nature, 455(7212), 523–527. doi:10.1038/nature07286 • Charlton, A. J., & Polvani, L. M. (2007a), A New Look at Stratospheric Sudden Warmings. Part I: Climatology and Modeling Benchmarks. Journal of Climate, 20(3), 449–469, doi:10.1175/JCLI3996.1. • Charlton, A. J., Polvani, L. M., Perlwitz, J., Sassi, F., Manzini, E., Shibata, K., et al. (2007b). A New Look at Stratospheric Sudden Warmings. Part II: Evaluation of Numerical Model Simulations. Journal of Climate, 20(3), 470–488. doi:10.1175/jcli3994.1 • Charlton‐Perez, A. J., Ferranti, L., & Lee, R. W. (2018). The influence of the stratospheric state on North Atlantic weather regimes. Quarterly Journal of the Royal Meteorological Society, 144(713), 1140–1151. doi:10.1002/qj.3280 • Dawson, A. (2016). eofs, A Library for EOF Analysis of Meteorological, Oceanographic, and Climate Data. Journal of Open Research Software, 4(1). doi:10.5334/jors.122 • Domeisen, D. I. V., Grams, C. M., & Papritz, L. (2020). The role of North Atlantic–European weather regimes in the surface impact of sudden stratospheric warming events. Weather and Climate Dynamics, 1(2), 373–388. doi:10.5194/wcd-1-373-2020 • Erner, I., & Karpechko, A. (2024). Factors influencing subseasonal predictability of northern Eurasian cold spells. Quarterly Journal of the Royal Meteorological Society, 150(762), 2955–2975. doi:10.1002/qj.4744 • Garfinkel, C. I., Lawrence, Z. D., Butler, A. H., Dunn-Sigouin, E., Erner, I., Karpechko, A. Y., et al. (2025). A process-based evaluation of biases in extratropical stratosphere–troposphere coupling in subseasonal forecast systems. Weather and Climate Dynamics, 6, 171–195. doi:10.5194/wcd-6-171-2025 • González‐Alemán, J. J., Grams, C. M., Ayarzagüena, B., Zurita‐Gotor, P., Domeisen, D. I. V., Gómara, I., et al. (2021). Tropospheric Role in the Predictability of the Surface Impact of the 2018 Sudden Stratospheric Warming Event. Geophysical Research Letters, 49(e2021GL095464). doi:10.1029/2021gl095464 • Hannachi, A., Jolliffe, I. T., & Stephenson, D. B. (2007). Empirical orthogonal functions and related techniques in atmospheric science: A review. International Journal of Climatology, 27(9), 1119–1152. doi:10.1002/joc.1499 • Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., et al. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730). doi:10.1002/qj.3803 • Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., et al. (2023a). ERA5 hourly data on pressure levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), [Dataset]. doi:10.24381/cds.bd0915c6 (Accessed late 2024 thru early 2025) • Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., et al. (2023b). ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), [Dataset]. doi:10.24381/cds.adbb2d47 (Accessed late 2024 thru early 2025) • Hersbach, H., Comyn-Platt, E., Bell, B., Berrisford, P., Biavati, G., Horányi, A., et al. (2023c): ERA5 post-processed daily-statistics on pressure levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), [Dataset]. doi:10.24381/cds.4991cf48 (Accessed late 2024 thru early 2025) • Hitchcock, P. B., Butler, A., Charlton-Perez, A., Garfinkel, C. I., Stockdale, T., Anstey, J., et al. (2022). Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts. Geoscientific Model Development, 15(13), 5073–5092. doi:10.5194/gmd-15-5073-2022 • Hitchcock, P., Polichtchouk, I., Stockdale, T. (2024): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the IFS model at ECMWF. NERC EDS Centre for Environmental Data Analysis, [Dataset]. http://catalogue.ceda.ac.uk/uuid/d160e81ccf9842d0b1c0a25b56a5ddfa/ • Huang, W. T. K., Charlton-Perez, A., Lee, R. W., Neal, R., Sarran, C., & Sun, T. (2020). Weather regimes and patterns associated with temperature-related excess mortality in the UK: a pathway to sub-seasonal risk forecasting. Environmental Research Letters, 15(12), 124052. doi:10.1088/1748-9326/abcbba • Kautz, L., Polichtchouk, I., Birner, T., Garny, H., & Pinto, J. G. (2020). Enhanced extended‐range predictability of the 2018 late‐winter Eurasian cold spell due to the stratosphere. Quarterly Journal of the Royal Meteorological Society, 146(727), 1040–1055. doi:10.1002/qj.3724 • Kim, H., Hyun, Y.-K. (2024): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GloSea6-GC32 model at KMA. NERC EDS Centre for Environmental Data Analysis, [Dataset]. http://catalogue.ceda.ac.uk/uuid/81516f7545ef4ba1b39ec87ed5d0e5f1/ • Knight, J., Scaife, A., Bett, P. E., Collier, T., Dunstone, N., Gordon, M., et al. (2021). Predictability of European Winters 2017/2018 and 2018/2019: Contrasting influences from the Tropics and stratosphere. Atmospheric Science Letters, 22(1), e1009. https://doi.org/10.1002/asl.1009 • Knight, J. (2024): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GloSea6 model at UKMO. NERC EDS Centre for Environmental Data Analysis, [Dataset]. http://catalogue.ceda.ac.uk/uuid/8fc98ddf822f464dbd8a9e89b2da063c/ • Kretschmer, M., Cohen, J., Matthias, V., Runge, J., & Coumou, D. (2018a). The different stratospheric influence on cold-extremes in Eurasia and North America. Npj Climate and Atmospheric Science, 1(1). doi:10.1038/s41612-018-0054-4 • Kretschmer, M., Coumou, D., Agel, L., Barlow, M., Tziperman, E., & Cohen, J. (2018b). More-Persistent Weak Stratospheric Polar Vortex States Linked to Cold Extremes. Bulletin of the American Meteorological Society, 99(1), 49–60. doi:10.1175/bams-d-16-0259.1 • Lee, S. H., Furtado, J. C., & Charlton‐Perez, A. J. (2019a). Wintertime North American Weather Regimes and the Arctic Stratospheric Polar Vortex. Geophysical Research Letters, 46(24), 14892–14900. doi:10.1029/2019gl085592 • Lee, R. W., Woolnough, S. J., Charlton‐Perez, A. J., & Vitart, F. (2019b). ENSO Modulation of MJO Teleconnections to the North Atlantic and Europe. Geophysical Research Letters, 46(22), 13535–13545. doi:10.1029/2019gl084683 • Lee, S. H., Charlton-Perez, A. J., Woolnough, S. J., & Furtado, J. C. (2022). How Do Stratospheric Perturbations Influence North American Weather Regime Predictions? Journal of Climate, 35(18), 5915–5932. https://doi.org/10.1175/jcli-d-21-0413.1 • Limpasuvan, V., Thompson, D. W. J., & Hartmann, D. L. (2004). The Life Cycle of the Northern Hemisphere Sudden Stratospheric Warmings. Journal of Climate, 17(13), 2584–2596. doi:10.1175/1520-0442(2004)017<2584:TLCOTN>2.0.CO;2 • Limpasuvan, V., Hartmann, D. L., Thompson, D. W. J., Jeev, K., & Yung, Y. L. (2005). Stratosphere-troposphere evolution during polar vortex intensification. Journal of Geophysical Research, 110(D24). doi:10.1029/2005jd006302 • Lin, H., Muncaster, R. (2024): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GEM-NEMO model at ECCC. NERC EDS Centre for Environmental Data Analysis, [Dataset]. http://catalogue.ceda.ac.uk/uuid/0760dcb81380402f8e7a1dcb20d1eec9/ • Mariotti, A., Baggett, C., Barnes, E. A., Becker, E., Butler, A. H., Collins, D. C., et al. (2020). Windows of Opportunity for Skillful Forecasts Subseasonal to Seasonal and Beyond. Bulletin of the American Meteorological Society, 101(5), E608–E625. doi:10.1175/bams-d-18-0326.1 • Mastrangelo, D. (2024): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GLOBO model at CNR-ISAC. NERC EDS Centre for Environmental Data Analysis, [Dataset]. http://catalogue.ceda.ac.uk/uuid/181b2e501be0452984371d1c77fdab2a/ • Maycock, A. C., Masukwedza, G. I. T., Hitchcock, P., & Simpson, I. R. (2020). A Regime Perspective on the North Atlantic Eddy-Driven Jet Response to Sudden Stratospheric Warmings. Journal of Climate, 33(9), 3901–3917. doi:10.1175/jcli-d-19-0702.1 • Messori, G., & Dorrington, J. (2023). A Joint Perspective on North American and Euro‐Atlantic Weather Regimes. Geophysical Research Letters, 50(21), e2023GL104696. doi:10.1029/2023gl104696 • Messori, G., Kretschmer, M., Lee, S. H., & Wendt, V. (2022). Stratospheric downward wave reflection events modulate North American weather regimes and cold spells. Weather and Climate Dynamics, 3(4), 1215–1236. doi:10.5194/wcd-3-1215-2022 • Michelangeli, P.-A., Vautard, R., & Legras, B. (1995). Weather Regimes: Recurrence and Quasi Stationarity. Journal of the Atmospheric Sciences, 52(8), 1237–1256. doi:10.1175/1520-0469(1995)052<1237:WRRAQS>2.0.CO;2 • Millin, O. T., Furtado, J. C., & Basara, J. B. (2022). Characteristics, Evolution, and Formation of Cold Air Outbreaks in the Great Plains of the United States. Journal of Climate, 35(14), 4585–4602. https://doi.org/10.1175/jcli-d-21-0772.1 • Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., et al. (2011). Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 12(85), 2825–2830. Retrieved from http://jmlr.org/papers/v12/pedregosa11a.html • Robertson, A. W., Vigaud, N., Yuan, J., & Tippett, M. K. (2020). Toward Identifying Subseasonal Forecasts of Opportunity Using North American Weather Regimes. Monthly Weather Review, 148(5), 1861–1875. doi:10.1175/mwr-d-19-0285.1 • Scaife, A. A., Karpechko, A. Yu., Baldwin, M. P., Brookshaw, A., Butler, A. H., Eade, R., et al. (2015). Seasonal winter forecasts and the stratosphere. Atmospheric Science Letters, 17(1), 51–56. doi:10.1002/asl.598 • Schutte, M. K., Portal, A., Lee, S. H., & Messori, G. (2025). Dynamics of stratospheric wave reflection over the North Pacific. Weather and Climate Dynamics, 6(2), 521–548. doi:10.5194/wcd-6-521-2025 • Sigmond, M., Scinocca, J. F., Kharin, V. V., & Shepherd, T. G. (2013). Enhanced seasonal forecast skill following stratospheric sudden warmings. Nature Geoscience, 6(2), 98–102. doi:10.1038/ngeo1698 • Simpson, I., Richter, J. (2024): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the CESM2-CAM6 model at NCAR. NERC EDS Centre for Environmental Data Analysis, [Dataset]. http://catalogue.ceda.ac.uk/uuid/ce8fb52804934952a00ef7d3d223d305/ • Specq, D. (2024): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the CNRM-CM 6.1 model at Météo France. NERC EDS Centre for Environmental Data Analysis, [Dataset]. http://catalogue.ceda.ac.uk/uuid/201dac63fd1046e39299801dbf47dd3f/ • Son, S.-W., Hong, D.-C. (2024): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GRIMs model at SNU. NERC EDS Centre for Environmental Data Analysis, [Dataset]. http://catalogue.ceda.ac.uk/uuid/8210180b4c664012831f8a66c934c004/ • Tripathi, O. P., Charlton-Perez, A., Sigmond, M., & Vitart, F. (2015). Enhanced long-range forecast skill in boreal winter following stratospheric strong vortex conditions. Environmental Research Letters, 10(10), 104007. doi:10.1088/1748-9326/10/10/104007 • van der Wiel, K., Bloomfield, H. C., Lee, R. W., Stoop, L. P., Blackport, R., Screen, J. A., & Selten, F. M. (2019). The influence of weather regimes on European renewable energy production and demand. Environmental Research Letters, 14(9), 094010. doi:10.1088/1748-9326/ab38d3 • White, C. J., Domeisen, D. I. V., Acharya, N., Adefisan, E. A., Anderson, M. L., Aura, S., et al. (2022). Advances in the application and utility of subseasonal-to-seasonal predictions. Bulletin of the American Meteorological Society, 103(6), E1448–E1472. doi:10.1175/bams-d-20-0224.1 • White, I., Garfinkel, C. I., Gerber, E. P., Jucker, M., Hitchcock, P., & Rao, J. (2020). The generic nature of the tropospheric response to sudden stratospheric warmings. Journal of Climate, 33(13), 5589–5610. doi:10.1175/jcli-d-19-0697.1

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Stratospheric impacts on weather regimes following the 2018 and 2019 Sudden Stratospheric Warmings

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