Articles | Volume 2, issue 1
https://doi.org/10.5194/wcd-2-205-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-2-205-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Origins of multi-decadal variability in sudden stratospheric warmings
Oscar Dimdore-Miles
CORRESPONDING AUTHOR
Department of Physics, Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, UK
Lesley Gray
Department of Physics, Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, UK
National Centre for Atmospheric Science, Oxford, OX1 3PU, UK
Scott Osprey
Department of Physics, Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, UK
National Centre for Atmospheric Science, Oxford, OX1 3PU, UK
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Oscar Dimdore-Miles, Lesley Gray, Scott Osprey, Jon Robson, Rowan Sutton, and Bablu Sinha
Atmos. Chem. Phys., 22, 4867–4893, https://doi.org/10.5194/acp-22-4867-2022, https://doi.org/10.5194/acp-22-4867-2022, 2022
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This study examines interactions between variations in the strength of polar stratospheric winds and circulation in the North Atlantic in a climate model simulation. It finds that the Atlantic Meridional Overturning Circulation (AMOC) responds with oscillations to sets of consecutive Northern Hemisphere winters, which show all strong or all weak polar vortex conditions. The study also shows that a set of strong vortex winters in the 1990s contributed to the recent slowdown in the observed AMOC.
Yoshio Kawatani, Kevin Hamilton, Shingo Watanabe, James A. Anstey, Jadwiga H. Richter, Neal Butchart, Clara Orbe, Scott M. Osprey, Hiroaki Naoe, Dillon Elsbury, Chih-Chieh Chen, Javier García-Serrano, Anne Glanville, Tobias Kerzenmacher, François Lott, Froila M. Palmerio, Mijeong Park, Federico Serva, Masakazu Taguchi, Stefan Versick, and Kohei Yoshioda
EGUsphere, https://doi.org/10.5194/egusphere-2024-3270, https://doi.org/10.5194/egusphere-2024-3270, 2024
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
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The Quasi-Biennial Oscillation (QBO) of the tropical stratospheric mean winds has been relatively steady over the 7 decades it has been observed, but there are always cycle-to-cycle variations. This study used several global atmospheric models to investigate systematic modulation of the QBO by the El Niño/La Niña cycle. All models simulated shorter periods during El Niño, in agreement with observations. By contrast, the models disagreed even on the sign of the El Niño effect on QBO amplitude.
Paula L. M. Gonzalez, Lesley J. Gray, Stergios Misios, Scott Osprey, and Hedi Ma
EGUsphere, https://doi.org/10.5194/egusphere-2024-2487, https://doi.org/10.5194/egusphere-2024-2487, 2024
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This study has examined a set of reanalyses, both modern and 20th Century, to evaluate the robustness of the signatures of the 11-yr solar cycle in the North Atlantic climate. We find a robust response to the 11-yr solar cycle over the North Atlantic sector with a positive SLP anomaly north of the Azores region at lags of +2–3 years following solar maximum. An ocean reanalysis dataset shows that thermal inertia of the ocean could explain the lag in the SC response.
Aleena Moolakkunnel Jaison, Lesley J. Gray, Scott M. Osprey, Jeff R. Knight, and Martin B. Andrews
EGUsphere, https://doi.org/10.5194/egusphere-2024-1818, https://doi.org/10.5194/egusphere-2024-1818, 2024
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Models have biases in SAO representation, primarily due to lack of strong enough eastward wave forcing. We investigated if this bias arises from increased wave absorption in low-mid stratosphere due to circulation biases. Using model experiments, we found that removing biases in lower altitudes improve the SAO, but a significant bias remains. Thus, modifications to gravity wave parametrisation is required to improve the modelled SAO, potentially leading to improved predictability of SSW.
Timothy P. Banyard, Corwin J. Wright, Scott M. Osprey, Neil P. Hindley, Gemma Halloran, Lawrence Coy, Paul A. Newman, Neal Butchart, Martina Bramberger, and M. Joan Alexander
Atmos. Chem. Phys., 24, 2465–2490, https://doi.org/10.5194/acp-24-2465-2024, https://doi.org/10.5194/acp-24-2465-2024, 2024
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In 2019/2020, the tropical stratospheric wind phenomenon known as the quasi-biennial oscillation (QBO) was disrupted for only the second time in the historical record. This was poorly forecasted, and we want to understand why. We used measurements from the first Doppler wind lidar in space, Aeolus, to observe the disruption in an unprecedented way. Our results reveal important differences between Aeolus and the ERA5 reanalysis that affect the timing of the disruption's onset and its evolution.
Jorge L. García-Franco, Lesley J. Gray, Scott Osprey, Robin Chadwick, and Zane Martin
Weather Clim. Dynam., 3, 825–844, https://doi.org/10.5194/wcd-3-825-2022, https://doi.org/10.5194/wcd-3-825-2022, 2022
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This paper establishes robust links between the stratospheric quasi-biennial oscillation (QBO) and several features of tropical climate. Robust precipitation responses, as well as changes to the Walker circulation, were found to be robustly linked to the variability in the lower stratosphere associated with the QBO using a 500-year simulation of a state-of-the-art climate model.
Oscar Dimdore-Miles, Lesley Gray, Scott Osprey, Jon Robson, Rowan Sutton, and Bablu Sinha
Atmos. Chem. Phys., 22, 4867–4893, https://doi.org/10.5194/acp-22-4867-2022, https://doi.org/10.5194/acp-22-4867-2022, 2022
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This study examines interactions between variations in the strength of polar stratospheric winds and circulation in the North Atlantic in a climate model simulation. It finds that the Atlantic Meridional Overturning Circulation (AMOC) responds with oscillations to sets of consecutive Northern Hemisphere winters, which show all strong or all weak polar vortex conditions. The study also shows that a set of strong vortex winters in the 1990s contributed to the recent slowdown in the observed AMOC.
Beatriz M. Monge-Sanz, Alessio Bozzo, Nicholas Byrne, Martyn P. Chipperfield, Michail Diamantakis, Johannes Flemming, Lesley J. Gray, Robin J. Hogan, Luke Jones, Linus Magnusson, Inna Polichtchouk, Theodore G. Shepherd, Nils Wedi, and Antje Weisheimer
Atmos. Chem. Phys., 22, 4277–4302, https://doi.org/10.5194/acp-22-4277-2022, https://doi.org/10.5194/acp-22-4277-2022, 2022
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The stratosphere is emerging as one of the keys to improve tropospheric weather and climate predictions. This study provides evidence of the role the stratospheric ozone layer plays in improving weather predictions at different timescales. Using a new ozone modelling approach suitable for high-resolution global models that provide operational forecasts from days to seasons, we find significant improvements in stratospheric meteorological fields and stratosphere–troposphere coupling.
Jorge L. García-Franco, Lesley J. Gray, and Scott Osprey
Weather Clim. Dynam., 1, 349–371, https://doi.org/10.5194/wcd-1-349-2020, https://doi.org/10.5194/wcd-1-349-2020, 2020
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The American monsoon system is the main source of rainfall for the subtropical Americas and an important element of Latin American agriculture. Here we use state-of-the-art climate models from the UK Met Office in different configurations to analyse the performance of these models in the American monsoon. Resolution is found to be a key factor to improve monsoon representation, whereas integrated chemistry does not improve the simulated monsoon rainfall.
Lesley J. Gray, James A. Anstey, Yoshio Kawatani, Hua Lu, Scott Osprey, and Verena Schenzinger
Atmos. Chem. Phys., 18, 8227–8247, https://doi.org/10.5194/acp-18-8227-2018, https://doi.org/10.5194/acp-18-8227-2018, 2018
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A major phenomenon in the stratosphere is the Quasi Biennial Oscillation (QBO). Although a feature of the equatorial stratosphere, its influence extends to surface weather at both equatorial and mid latitudes. Improved knowledge of mechanisms of influence should help to improve weather forecasts. In this paper, QBO impacts at the surface are characterized and dominant mechanisms explored. Three pathways are identified, referred to as the tropical, subtropical and polar routes.
Neal Butchart, James A. Anstey, Kevin Hamilton, Scott Osprey, Charles McLandress, Andrew C. Bushell, Yoshio Kawatani, Young-Ha Kim, Francois Lott, John Scinocca, Timothy N. Stockdale, Martin Andrews, Omar Bellprat, Peter Braesicke, Chiara Cagnazzo, Chih-Chieh Chen, Hye-Yeong Chun, Mikhail Dobrynin, Rolando R. Garcia, Javier Garcia-Serrano, Lesley J. Gray, Laura Holt, Tobias Kerzenmacher, Hiroaki Naoe, Holger Pohlmann, Jadwiga H. Richter, Adam A. Scaife, Verena Schenzinger, Federico Serva, Stefan Versick, Shingo Watanabe, Kohei Yoshida, and Seiji Yukimoto
Geosci. Model Dev., 11, 1009–1032, https://doi.org/10.5194/gmd-11-1009-2018, https://doi.org/10.5194/gmd-11-1009-2018, 2018
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This paper documents the numerical experiments to be used in phase 1 of the Stratosphere–troposphere Processes And their Role in Climate (SPARC) Quasi-Biennial Oscillation initiative (QBOi), which was set up to improve the representation of the QBO and tropical stratospheric variability in global climate models.
Verena Schenzinger, Scott Osprey, Lesley Gray, and Neal Butchart
Geosci. Model Dev., 10, 2157–2168, https://doi.org/10.5194/gmd-10-2157-2017, https://doi.org/10.5194/gmd-10-2157-2017, 2017
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The Quasi-Biennial Oscillation (QBO) is a pattern of winds in the equatorial stratosphere that has been observed for the past 60 years. It is thought to have long-range influences, e.g. on the Northern Hemisphere winter polar vortex and therefore Europe's winter weather. Since its period is about 2 years, being able to predict the QBO might also improve weather forecasting. Using a set of characteristic metrics, this paper examines how reliable current climate models are in simulating the QBO.
Masatomo Fujiwara, Jonathon S. Wright, Gloria L. Manney, Lesley J. Gray, James Anstey, Thomas Birner, Sean Davis, Edwin P. Gerber, V. Lynn Harvey, Michaela I. Hegglin, Cameron R. Homeyer, John A. Knox, Kirstin Krüger, Alyn Lambert, Craig S. Long, Patrick Martineau, Andrea Molod, Beatriz M. Monge-Sanz, Michelle L. Santee, Susann Tegtmeier, Simon Chabrillat, David G. H. Tan, David R. Jackson, Saroja Polavarapu, Gilbert P. Compo, Rossana Dragani, Wesley Ebisuzaki, Yayoi Harada, Chiaki Kobayashi, Will McCarty, Kazutoshi Onogi, Steven Pawson, Adrian Simmons, Krzysztof Wargan, Jeffrey S. Whitaker, and Cheng-Zhi Zou
Atmos. Chem. Phys., 17, 1417–1452, https://doi.org/10.5194/acp-17-1417-2017, https://doi.org/10.5194/acp-17-1417-2017, 2017
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We introduce the SPARC Reanalysis Intercomparison Project (S-RIP), review key concepts and elements of atmospheric reanalysis systems, and summarize the technical details of and differences among 11 of these systems. This work supports scientific studies and intercomparisons of reanalysis products by collecting these background materials and technical details into a single reference. We also address several common misunderstandings and points of confusion regarding reanalyses.
C. J. Wright, S. M. Osprey, and J. C. Gille
Atmos. Chem. Phys., 15, 8459–8477, https://doi.org/10.5194/acp-15-8459-2015, https://doi.org/10.5194/acp-15-8459-2015, 2015
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Data from the HIRDLS instrument are used to study the numerical variability of gravity waves. Observed distributions are dominated by long-vertical-short-horizontal-wavelength waves, with a similar spectral form at all locations. We further divide our data into subspecies by wavelength, and investigate variation in these subspecies in time and space. We show that the variations associated with particular phenomena arise due to changes in specific parts of the spectrum.
Related subject area
Atmospheric teleconnections incl. stratosphere–troposphere coupling
Model spread in multidecadal North Atlantic Oscillation variability connected to stratosphere–troposphere coupling
The role of the Indian Ocean Dipole in modulating the Austral Spring ENSO teleconnection into the Southern Hemisphere
Opposite spectral properties of Rossby waves during weak and strong stratospheric polar vortex events
Stratospheric influence on the winter North Atlantic storm track in subseasonal reforecasts
How do different pathways connect the stratospheric polar vortex to its tropospheric precursors?
A critical evaluation of decadal solar cycle imprints in the MiKlip historical ensemble simulations
The teleconnection of extreme El Niño–Southern Oscillation (ENSO) events to the tropical North Atlantic in coupled climate models
Using large ensembles to quantify the impact of sudden stratospheric warmings and their precursors on the North Atlantic Oscillation
The stratosphere: a review of the dynamics and variability
Stratospheric downward wave reflection events modulate North American weather regimes and cold spells
Modulation of the El Niño teleconnection to the North Atlantic by the tropical North Atlantic during boreal spring and summer
Quantifying stratospheric biases and identifying their potential sources in subseasonal forecast systems
Stratospheric modulation of Arctic Oscillation extremes as represented by extended-range ensemble forecasts
The tropical route of quasi-biennial oscillation (QBO) teleconnections in a climate model
Decline in Etesian winds after large volcanic eruptions in the last millennium
Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models
Stratospheric wave driving events as an alternative to sudden stratospheric warmings
Tropical influence on heat-generating atmospheric circulation over Australia strengthens through spring
Sudden stratospheric warmings during El Niño and La Niña: sensitivity to atmospheric model biases
Minimal impact of model biases on Northern Hemisphere El Niño–Southern Oscillation teleconnections
Resampling of ENSO teleconnections: accounting for cold-season evolution reduces uncertainty in the North Atlantic
The wave geometry of final stratospheric warming events
Tropospheric eddy feedback to different stratospheric conditions in idealised baroclinic life cycles
Impacts of the North Atlantic Oscillation on winter precipitations and storm track variability in southeast Canada and the northeast United States
The role of Barents–Kara sea ice loss in projected polar vortex changes
Mechanisms and predictability of sudden stratospheric warming in winter 2018
On the intermittency of orographic gravity wave hotspots and its importance for middle atmosphere dynamics
The role of North Atlantic–European weather regimes in the surface impact of sudden stratospheric warming events
Nonlinearity in the tropospheric pathway of ENSO to the North Atlantic
Rémy Bonnet, Christine M. McKenna, and Amanda C. Maycock
Weather Clim. Dynam., 5, 913–926, https://doi.org/10.5194/wcd-5-913-2024, https://doi.org/10.5194/wcd-5-913-2024, 2024
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Climate models underestimate multidecadal winter North Atlantic Oscillation (NAO) variability. Understanding the origin of this weak variability is important for making reliable climate projections. We use multi-model climate simulations to explore statistical relationships with drivers that may contribute to NAO variability. We find a relationship between modelled stratosphere–troposphere coupling and multidecadal NAO variability, offering an avenue to improve the simulation of NAO variability.
Luciano Gustavo Andrian, Marisol Osman, and Carolina Susana Vera
EGUsphere, https://doi.org/10.5194/egusphere-2024-1812, https://doi.org/10.5194/egusphere-2024-1812, 2024
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The interplay between El Niño-Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) is well-researched in the tropical Indian Ocean, but their effects on the Southern Hemisphere's extratropical regions during spring are less studied. Our results show that the positive phase of the IOD can strengthen the El Niño circulation anomalies, heightening its continental impacts. On the other hand, negative IOD combined with La Niña shows less consistent changes among the different methodologies.
Michael Schutte, Daniela I. V. Domeisen, and Jacopo Riboldi
Weather Clim. Dynam., 5, 733–752, https://doi.org/10.5194/wcd-5-733-2024, https://doi.org/10.5194/wcd-5-733-2024, 2024
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The winter circulation in the stratosphere, a layer of the Earth’s atmosphere between 10 and 50 km height, is tightly linked to the circulation in the lower atmosphere determining our daily weather. This interconnection happens in the form of waves propagating in and between these two layers. Here, we use space–time spectral analysis to show that disruptions and enhancements of the stratospheric circulation modify the shape and propagation of waves in both layers.
Hilla Afargan-Gerstman, Dominik Büeler, C. Ole Wulff, Michael Sprenger, and Daniela I. V. Domeisen
Weather Clim. Dynam., 5, 231–249, https://doi.org/10.5194/wcd-5-231-2024, https://doi.org/10.5194/wcd-5-231-2024, 2024
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The stratosphere is a layer of Earth's atmosphere found above the weather systems. Changes in the stratosphere can affect the winds and the storm tracks in the North Atlantic region for a relatively long time, lasting for several weeks and even months. We show that the stratosphere can be important for weather forecasts beyond 1 week, but more work is needed to improve the accuracy of these forecasts for 3–4 weeks.
Raphael Harry Köhler, Ralf Jaiser, and Dörthe Handorf
Weather Clim. Dynam., 4, 1071–1086, https://doi.org/10.5194/wcd-4-1071-2023, https://doi.org/10.5194/wcd-4-1071-2023, 2023
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This study explores the local mechanisms of troposphere–stratosphere coupling on seasonal timescales during extended winter in the Northern Hemisphere. The detected tropospheric precursor regions exhibit very distinct mechanisms of coupling to the stratosphere, thus highlighting the importance of the time- and zonally resolved picture. Moreover, this study demonstrates that the ICOsahedral Non-hydrostatic atmosphere model (ICON) can realistically reproduce troposphere–stratosphere coupling.
Tobias C. Spiegl, Ulrike Langematz, Holger Pohlmann, and Jürgen Kröger
Weather Clim. Dynam., 4, 789–807, https://doi.org/10.5194/wcd-4-789-2023, https://doi.org/10.5194/wcd-4-789-2023, 2023
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We investigate the role of the solar cycle in atmospheric domains with the Max Plank Institute Earth System Model in high resolution (MPI-ESM-HR). We focus on the tropical upper stratosphere, Northern Hemisphere (NH) winter dynamics and potential surface imprints. We found robust solar signals at the tropical stratopause and a weak dynamical response in the NH during winter. However, we cannot confirm the importance of the 11-year solar cycle for decadal variability in the troposphere.
Jake W. Casselman, Joke F. Lübbecke, Tobias Bayr, Wenjuan Huo, Sebastian Wahl, and Daniela I. V. Domeisen
Weather Clim. Dynam., 4, 471–487, https://doi.org/10.5194/wcd-4-471-2023, https://doi.org/10.5194/wcd-4-471-2023, 2023
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El Niño–Southern Oscillation (ENSO) has remote effects on the tropical North Atlantic (TNA), but the connections' nonlinearity (strength of response to an increasing ENSO signal) is not always well represented in models. Using the Community Earth System Model version 1 – Whole Atmosphere Community Climate Mode (CESM-WACCM) and the Flexible Ocean and Climate Infrastructure version 1, we find that the TNA responds linearly to extreme El Niño but nonlinearly to extreme La Niña for CESM-WACCM.
Philip E. Bett, Adam A. Scaife, Steven C. Hardiman, Hazel E. Thornton, Xiaocen Shen, Lin Wang, and Bo Pang
Weather Clim. Dynam., 4, 213–228, https://doi.org/10.5194/wcd-4-213-2023, https://doi.org/10.5194/wcd-4-213-2023, 2023
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Sudden-stratospheric-warming (SSW) events can severely affect the subsequent weather at the surface. We use a large ensemble of climate model hindcasts to investigate features of the climate that make strong impacts more likely through negative NAO conditions. This allows a more robust assessment than using observations alone. Air pressure over the Arctic prior to an SSW and the zonal-mean zonal wind in the lower stratosphere have the strongest relationship with the subsequent NAO response.
Neal Butchart
Weather Clim. Dynam., 3, 1237–1272, https://doi.org/10.5194/wcd-3-1237-2022, https://doi.org/10.5194/wcd-3-1237-2022, 2022
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In recent years, it has emerged that there is an affinity between stratospheric variability and surface events. Waves from the troposphere interacting with the mean flow drive much of the variability in the polar vortex, sudden stratospheric warmings and tropical quasi-biennial oscillation. Here we review the historical evolution of established knowledge of the stratosphere's global structure and dynamical variability, along with recent advances and theories, and identify outstanding challenges.
Gabriele Messori, Marlene Kretschmer, Simon H. Lee, and Vivien Wendt
Weather Clim. Dynam., 3, 1215–1236, https://doi.org/10.5194/wcd-3-1215-2022, https://doi.org/10.5194/wcd-3-1215-2022, 2022
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Over 10 km above the ground, there is a region of the atmosphere called the stratosphere. While there is very little air in the stratosphere itself, its interactions with the lower parts of the atmosphere – where we live – can affect the weather. Here we study a specific example of such an interaction, whereby processes occurring at the boundary of the stratosphere can lead to a continent-wide drop in temperatures in North America during winter.
Jake W. Casselman, Bernat Jiménez-Esteve, and Daniela I. V. Domeisen
Weather Clim. Dynam., 3, 1077–1096, https://doi.org/10.5194/wcd-3-1077-2022, https://doi.org/10.5194/wcd-3-1077-2022, 2022
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Using an atmospheric general circulation model, we analyze how the tropical North Atlantic influences the El Niño–Southern Oscillation connection towards the North Atlantic European region. We also focus on the lesser-known boreal spring and summer response following an El Niño–Southern Oscillation event. Our results show that altered tropical Atlantic sea surface temperatures may cause different responses over the Caribbean region, consequently influencing the North Atlantic European region.
Zachary D. Lawrence, Marta Abalos, Blanca Ayarzagüena, David Barriopedro, Amy H. Butler, Natalia Calvo, Alvaro de la Cámara, Andrew Charlton-Perez, Daniela I. V. Domeisen, Etienne Dunn-Sigouin, Javier García-Serrano, Chaim I. Garfinkel, Neil P. Hindley, Liwei Jia, Martin Jucker, Alexey Y. Karpechko, Hera Kim, Andrea L. Lang, Simon H. Lee, Pu Lin, Marisol Osman, Froila M. Palmeiro, Judith Perlwitz, Inna Polichtchouk, Jadwiga H. Richter, Chen Schwartz, Seok-Woo Son, Irene Erner, Masakazu Taguchi, Nicholas L. Tyrrell, Corwin J. Wright, and Rachel W.-Y. Wu
Weather Clim. Dynam., 3, 977–1001, https://doi.org/10.5194/wcd-3-977-2022, https://doi.org/10.5194/wcd-3-977-2022, 2022
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Forecast models that are used to predict weather often struggle to represent the Earth’s stratosphere. This may impact their ability to predict surface weather weeks in advance, on subseasonal-to-seasonal (S2S) timescales. We use data from many S2S forecast systems to characterize and compare the stratospheric biases present in such forecast models. These models have many similar stratospheric biases, but they tend to be worse in systems with low model tops located within the stratosphere.
Jonas Spaeth and Thomas Birner
Weather Clim. Dynam., 3, 883–903, https://doi.org/10.5194/wcd-3-883-2022, https://doi.org/10.5194/wcd-3-883-2022, 2022
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Past research has demonstrated robust stratosphere–troposphere dynamical coupling following stratospheric circulation extremes. Here, we use a large set of extended-range ensemble forecasts to robustly quantify the increased risk for tropospheric circulation extremes following stratospheric extreme events. In particular, we provide estimates of the fraction of tropospheric extremes that may be attributable to preceding stratospheric extremes.
Jorge L. García-Franco, Lesley J. Gray, Scott Osprey, Robin Chadwick, and Zane Martin
Weather Clim. Dynam., 3, 825–844, https://doi.org/10.5194/wcd-3-825-2022, https://doi.org/10.5194/wcd-3-825-2022, 2022
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This paper establishes robust links between the stratospheric quasi-biennial oscillation (QBO) and several features of tropical climate. Robust precipitation responses, as well as changes to the Walker circulation, were found to be robustly linked to the variability in the lower stratosphere associated with the QBO using a 500-year simulation of a state-of-the-art climate model.
Stergios Misios, Ioannis Logothetis, Mads F. Knudsen, Christoffer Karoff, Vassilis Amiridis, and Kleareti Tourpali
Weather Clim. Dynam., 3, 811–823, https://doi.org/10.5194/wcd-3-811-2022, https://doi.org/10.5194/wcd-3-811-2022, 2022
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We investigate the impact of strong volcanic eruptions on the northerly Etesian winds blowing in the eastern Mediterranean. Μodel simulations of the last millennium demonstrate a robust reduction in the total number of days with Etesian winds in the post-eruption summers. The decline in the Etesian winds is attributed to a weakened Indian summer monsoon in the post-eruption summer. These findings could improve seasonal predictions of the wind circulation in the eastern Mediterranean.
Chen Schwartz, Chaim I. Garfinkel, Priyanka Yadav, Wen Chen, and Daniela I. V. Domeisen
Weather Clim. Dynam., 3, 679–692, https://doi.org/10.5194/wcd-3-679-2022, https://doi.org/10.5194/wcd-3-679-2022, 2022
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Eleven operational forecast models that run on subseasonal timescales (up to 2 months) are examined to assess errors in their simulated large-scale stationary waves in the Northern Hemisphere winter. We found that models with a more finely resolved stratosphere generally do better in simulating the waves in both the stratosphere (10–50 km) and troposphere below. Moreover, a connection exists between errors in simulated time-mean convection in tropical regions and errors in the simulated waves.
Thomas Reichler and Martin Jucker
Weather Clim. Dynam., 3, 659–677, https://doi.org/10.5194/wcd-3-659-2022, https://doi.org/10.5194/wcd-3-659-2022, 2022
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Variations in the stratospheric polar vortex, so-called vortex events, can improve predictions of surface weather and climate. There are various ways to detect such events, and here we use the amount of wave energy that propagates into the stratosphere. The new definition is tested against so-called stratospheric sudden warmings (SSWs). We find that the wave definition has advantages over SSWs, for example in terms of a stronger surface response that follows the events.
Roseanna C. McKay, Julie M. Arblaster, and Pandora Hope
Weather Clim. Dynam., 3, 413–428, https://doi.org/10.5194/wcd-3-413-2022, https://doi.org/10.5194/wcd-3-413-2022, 2022
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Understanding what makes it hot in Australia in spring helps us better prepare for harmful impacts. We look at how the higher latitudes and tropics change the atmospheric circulation from early to late spring and how that changes maximum temperatures in Australia. We find that the relationship between maximum temperatures and the tropics is stronger in late spring than early spring. These findings could help improve forecasts of hot months in Australia in spring.
Nicholas L. Tyrrell, Juho M. Koskentausta, and Alexey Yu. Karpechko
Weather Clim. Dynam., 3, 45–58, https://doi.org/10.5194/wcd-3-45-2022, https://doi.org/10.5194/wcd-3-45-2022, 2022
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El Niño events are known to effect the variability of the wintertime stratospheric polar vortex. The observed relationship differs from what is seen in climate models. Climate models have errors in their average winds and temperature, and in this work we artificially reduce those errors to see how that changes the communication of El Niño events to the polar stratosphere. We find reducing errors improves stratospheric variability, but does not explain the differences with observations.
Nicholas L. Tyrrell and Alexey Yu. Karpechko
Weather Clim. Dynam., 2, 913–925, https://doi.org/10.5194/wcd-2-913-2021, https://doi.org/10.5194/wcd-2-913-2021, 2021
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Tropical Pacific sea surface temperatures (El Niño) affect the global climate. The Pacific-to-Europe connection relies on interactions of large atmospheric waves with winds and surface pressure. We looked at how mean errors in a climate model affect its ability to simulate the Pacific-to-Europe connection. We found that even large errors in the seasonal winds did not affect the response of the model to an El Niño event, which is good news for seasonal forecasts which rely on these connections.
Martin P. King, Camille Li, and Stefan Sobolowski
Weather Clim. Dynam., 2, 759–776, https://doi.org/10.5194/wcd-2-759-2021, https://doi.org/10.5194/wcd-2-759-2021, 2021
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We re-examine the uncertainty of ENSO teleconnection to the North Atlantic by considering the November–December and January–February months in the cold season, in addition to the conventional DJF months. This is motivated by previous studies reporting varying teleconnected atmospheric anomalies and the mechanisms concerned. Our results indicate an improved confidence in the patterns of the teleconnection. The finding may also have implications on research in predictability and climate impact.
Amy H. Butler and Daniela I. V. Domeisen
Weather Clim. Dynam., 2, 453–474, https://doi.org/10.5194/wcd-2-453-2021, https://doi.org/10.5194/wcd-2-453-2021, 2021
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We classify by wave geometry the stratospheric polar vortex during the final warming that occurs every spring in both hemispheres due to a combination of radiative and dynamical processes. We show that the shape of the vortex, as well as the timing of the seasonal transition, is linked to total column ozone prior to and surface weather following the final warming. These results have implications for prediction and our understanding of stratosphere–troposphere coupling processes in springtime.
Philip Rupp and Thomas Birner
Weather Clim. Dynam., 2, 111–128, https://doi.org/10.5194/wcd-2-111-2021, https://doi.org/10.5194/wcd-2-111-2021, 2021
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We use the simple framework of an idealised baroclinic life cycle to study the tropospheric eddy feedback to different stratospheric conditions and, hence, obtain insights into the fundamental processes of stratosphere–troposphere coupling – in particular, the processes involved in creating the robust equatorward shift in the tropospheric mid-latitude jet that has been observed following sudden stratospheric warming events.
Julien Chartrand and Francesco S. R. Pausata
Weather Clim. Dynam., 1, 731–744, https://doi.org/10.5194/wcd-1-731-2020, https://doi.org/10.5194/wcd-1-731-2020, 2020
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This study explores the relationship between the North Atlantic Oscillation and the winter climate of eastern North America using reanalysis data. Results show that negative phases are linked with an increase in frequency of winter storms developing on the east coast of the United States, resulting in much heavier snowfall over the eastern United States. On the contrary, an increase in cyclone activity over southeastern Canada results in slightly heavier precipitation during positive phases.
Marlene Kretschmer, Giuseppe Zappa, and Theodore G. Shepherd
Weather Clim. Dynam., 1, 715–730, https://doi.org/10.5194/wcd-1-715-2020, https://doi.org/10.5194/wcd-1-715-2020, 2020
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The winds in the polar stratosphere affect the weather in the mid-latitudes, making it important to understand potential changes in response to global warming. However, climate model projections disagree on how this so-called polar vortex will change in the future. Here we show that sea ice loss in the Barents and Kara (BK) seas plays a central role in this. The time when the BK seas become ice-free differs between models, which explains some of the disagreement regarding vortex projections.
Irene Erner, Alexey Y. Karpechko, and Heikki J. Järvinen
Weather Clim. Dynam., 1, 657–674, https://doi.org/10.5194/wcd-1-657-2020, https://doi.org/10.5194/wcd-1-657-2020, 2020
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In this paper we investigate the role of the tropospheric forcing in the occurrence of the sudden stratospheric warming (SSW) that took place in February 2018, its predictability and teleconnection with the Madden–Julian oscillation (MJO) by analysing the European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble forecast. The purpose of the paper is to present the results of the analysis of the atmospheric circulation before and during the SSW and clarify the driving mechanisms.
Ales Kuchar, Petr Sacha, Roland Eichinger, Christoph Jacobi, Petr Pisoft, and Harald E. Rieder
Weather Clim. Dynam., 1, 481–495, https://doi.org/10.5194/wcd-1-481-2020, https://doi.org/10.5194/wcd-1-481-2020, 2020
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Our study focuses on the impact of topographic structures such as the Himalayas and Rocky Mountains, so-called orographic gravity-wave hotspots. These hotspots play an important role in the dynamics of the middle atmosphere, in particular in the lower stratosphere. We study intermittency and zonally asymmetric character of these hotspots and their effects on the upper stratosphere and mesosphere using a new detection method in various modeling and observational datasets.
Daniela I. V. Domeisen, Christian M. Grams, and Lukas Papritz
Weather Clim. Dynam., 1, 373–388, https://doi.org/10.5194/wcd-1-373-2020, https://doi.org/10.5194/wcd-1-373-2020, 2020
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We cannot currently predict the weather over Europe beyond 2 weeks. The stratosphere provides a promising opportunity to go beyond that limit by providing a change in probability of certain weather regimes at the surface. However, not all stratospheric extreme events are followed by the same surface weather evolution. We show that this weather evolution is related to the tropospheric weather regime around the onset of the stratospheric extreme event for many stratospheric events.
Bernat Jiménez-Esteve and Daniela I. V. Domeisen
Weather Clim. Dynam., 1, 225–245, https://doi.org/10.5194/wcd-1-225-2020, https://doi.org/10.5194/wcd-1-225-2020, 2020
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Atmospheric predictability over Europe on subseasonal to seasonal timescales remains limited. However, the remote impact from the El Niño–Southern Oscillation (ENSO) can help to improve predictability. Research has suggested that the ENSO impact in the North Atlantic region is affected by nonlinearities. Here, we isolate the nonlinearities in the tropospheric pathway through the North Pacific, finding that a strong El Niño leads to a stronger and distinct impact compared to a strong La Niña.
Cited articles
Andrews, M. B., Knight, J. R., Scaife, A. A., Lu, Y., Wu, T., Gray, L. J., and
Schenzinger, V.: Observed and Simulated Teleconnections Between the
Stratospheric Quasi-Biennial Oscillation and Northern Hemisphere Winter
Atmospheric Circulation, J. Geophys. Res.-Atmos., 124,
1219–1232, https://doi.org/10.1029/2018JD029368, 2019. a, b, c, d, e, f, g, h
Andrews, M. B., Ridley, J. K., Wood, R. A., Andrews, T., Blockley, E. W.,
Booth, B., Burke, E., Dittus, A. J., Florek, P., Gray, L. J., Haddad, S.,
Hardiman, S. C., Hermanson, L., Hodson, D., Hogan, E., Jones, G. S., Knight,
J. R., Kuhlbrodt, T., Misios, S., Mizielinski, M. S., Ringer, M. A., Robson,
J., and Sutton, R. T.: Historical Simulations With HadGEM3-GC3.1 for CMIP6,
J. Adv. Model. Earth Sy., 12, e2019MS001995,
https://doi.org/10.1029/2019MS001995, 2020. a
Anstey, J. A. and Shepherd, T. G.: Response of the northern stratospheric polar
vortex to the seasonal alignment of QBO phase transitions, Geophys.
Res. Lett., 35, L22810, https://doi.org/10.1029/2008GL035721, 2008. a, b
Anstey, J. A. and Shepherd, T. G.: High-latitude influence of the
quasi-biennial oscillation, Q. J. Roy. Meteor.
Soc., 140, 1–21, https://doi.org/10.1002/qj.2132, 2014. a
Anstey, J. A., Butchart, N., Hamilton, K., and Osprey, S. M.: The SPARC
Quasi-Biennial Oscillation initiative, Q. J. Roy.
Meteor. Soc., 1–4, https://doi.org/10.1002/qj.3820, 2020. a
Ayarzagüena, B., Charlton-Perez, A. J., Butler, A. H., Hitchcock, P., Simpson,
I. R., Polvani, L. M., Butchart, N., Gerber, E. P., Gray, L., Hassler, B.,
Lin, P., Lott, F., Manzini, E., Mizuta, R., Orbe, C., Osprey, S.,
Saint-Martin, D., Sigmond, M., Taguchi, M., Volodin, E. M., and Watanabe, S.:
Uncertainty in the Response of Sudden Stratospheric Warmings and
Stratosphere-Troposphere Coupling to Quadrupled CO2 Concentrations in CMIP6
Models, J. Geophys. Res.-Atmos., 125, e2019JD032345, https://doi.org/10.1029/2019JD032345, 2020. a, b, c
Baldwin, M., Ayarzagüena, B., Birner, T., Butchart, N., Charlton-Perez, A.,
Butler, A., Domeisen, D., Garfinkel, C., Garny, H., Gerber, E., Hegglin, M.,
Langematz, U., and Pedatella, N.: Sudden Stratospheric Warmings, Rev.
Geophys., 59, e2020RG000708, https://doi.org/10.1029/2020RG000708, 2021. a
Baldwin, M. P. and Dunkerton, T. J.: The Quasi-Biennial Oscillations Above
10mb, Geophys. Res. Lett., 18, 1205–1208, https://doi.org/10.1029/91GL01333,
1991. a
Baldwin, M. P. and Dunkerton, T. J.: Quasi-biennial modulation of the southern
hemisphere stratospheric polar vortex, Geophys. Res. Lett., 25,
3343–3346, https://doi.org/10.1029/98GL02445, 1998. a, b
Baldwin, M. P. and Dunkerton, T. J.: Stratospheric Harbingers of Anomalous
Weather Regimes, Science, 294, 581–584, https://doi.org/10.1126/science.1063315, 2001. a
Baldwin, M. P., Gray, L. J., Dunkerton, T. J., Hamilton, K., Haynes, P. H.,
Randel, W. J., Holton, J. R., Alexander, M. J., Hirota, I., Horinouchi, T.,
Jones, D. B. A., Kinnersley, J. S., Marquardt, C., Sato, K., and Takahashi,
M.: The quasi-biennial oscillation, Rev. Geophys., 39, 179–229,
https://doi.org/10.1029/1999RG000073, 2001. a, b
Bell, C. J., Gray, L. J., Charlton-Perez, A. J., Joshi, M. M., and Scaife,
A. A.: Stratospheric Communication of El Niño Teleconnections to European
Winter, J. Climate, 22, 4083–4096, https://doi.org/10.1175/2009JCLI2717.1,
2009. a
Bushell, A. C., Anstey, J. A., Butchart, N., Kawatani, Y., Osprey, S. M.,
Richter, J. H., Serva, F., Braesicke, P., Cagnazzo, C., Chen, C.-C., Chun,
H.-Y., Garcia, R. R., Gray, L. J., Hamilton, K., Kerzenmacher, T., Kim,
Y.-H., Lott, F., McLandress, C., Naoe, H., Scinocca, J., Smith, A. K.,
Stockdale, T. N., Versick, S., Watanabe, S., Yoshida, K., and Yukimoto, S.:
Evaluation of the Quasi-Biennial Oscillation in global climate models for the
SPARC QBO-initiative, Q. J. Roy. Meteor. Soc.,
1–31, https://doi.org/10.1002/qj.3765, 2020. a, b, c
Butchart, N., Austin, J., Knight, J. R., Scaife, A. A., and Gallani, M. L.:
The Response of the Stratospheric Climate to Projected Changes in the
Concentrations of Well-Mixed Greenhouse Gases from 1992 to 2051, J.
Climate, 13, 2142–2159, https://doi.org/10.1175/1520-0442(2000)013<2142:TROTSC>2.0.CO;2, 2000. a
Butler, A. H., Seidel, D. J., Hardiman, S. C., Butchart, N., Birner, T., and
Match, A.: Defining Sudden Stratospheric Warmings, B. Am.
Meteorol. Soc., 96, 1913–1928, https://doi.org/10.1175/BAMS-D-13-00173.1,
2015. a, b, c
Butler, A. H., Sjoberg, J. P., Seidel, D. J., and Rosenlof, K. H.: A sudden stratospheric warming compendium, Earth Syst. Sci. Data, 9, 63–76, https://doi.org/10.5194/essd-9-63-2017, 2017. a
Charlton, A., Polvani, L., Perlwitz, J., Sassi, F., Manzini, E., Shibata, K.,
Pawson, S., Nielsen, J., and Rind, D.: A new look at stratospheric sudden
warmings. Part II: Evaluation of numerical model simulations, J.
Climate, 10, 470–488, https://doi.org/10.1175/JCLI3994.1, 2007. a
Chen, S., Chen, W., Wu, R., Yu, B., and Graf, H.-F.: Potential impact of
preceding Aleutian Low variation on the El Niño-Southern Oscillation during
the following winter, J. Climate, 33, 3061–3077, https://doi.org/10.1175/JCLI-D-19-0717.1,
2020. a
Cohen, J., Barlow, M., Kushner, P., and Saito, K.: Stratosphere Troposphere
Coupling and Links with Eurasian Land Surface Variability, J. Climate,
20, 5335–5343, https://doi.org/10.1175/2007JCLI1725.1, 2007. a
Cohen, J., Barlow, M., and Saito, K.: Decadal Fluctuations in Planetary Wave
Forcing Modulate Global Warming in Late Boreal Winter, J. Climate,
22, 4418–4426, https://doi.org/10.1175/2009JCLI2931.1, 2009. a
Daubechies, I.: The wavelet transform, time-frequency localization and signal
analysis, IEEE T. Inform. Theory, 36, 961–1005,
https://doi.org/10.1109/18.57199, 1990. a
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi,
S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P.,
Beljaars, A. C., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C.,
Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B.,
Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler,
M., Matricardi, M., Mcnally, A. P., Monge-Sanz, B. M., Morcrette, J. J.,
Park, B. K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J. N.,
and Vitart, F.: The ERA-Interim reanalysis: Configuration and performance of
the data assimilation system, Q. J. Roy. Meteor.
Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011. a
Deser, C., Simpson, I. R., McKinnon, K. A., and Phillips, A. S.: The Northern
Hemisphere Extratropical Atmospheric Circulation Response to ENSO: How Well
Do We Know It and How Do We Evaluate Models Accordingly?, J. Climate,
30, 5059–5082, https://doi.org/10.1175/JCLI-D-16-0844.1, 2017. a
Domeisen, D., Garfinkel, C., and Butler, A.: The Teleconnection of El Niño
Southern Oscillation to the Stratosphere, Rev. Geophys., 57, 5–47,
https://doi.org/10.1029/2018RG000596, 2019. a
Domeisen, D. I.: Estimating the Frequency of Sudden Stratospheric Warming
Events From Surface Observations of the North Atlantic Oscillation, J.
Geophys. Res.-Atmos., 124, 3180–3194,
https://doi.org/10.1029/2018JD030077, 2019. a
Domeisen, D. I. V., Butler, A. H., Fröhlich, K., Bittner, M., Müller, W. A.,
and Baehr, J.: Seasonal Predictability over Europe Arising from El Niño and
Stratospheric Variability in the MPI-ESM Seasonal Prediction System, J. Climate, 28, 256–271, https://doi.org/10.1175/JCLI-D-14-00207.1, 2014. a
Domeisen, D. I., Butler, A. H., Charlton-Perez, A. J., Ayarzagüena, B.,
Baldwin, M. P., Dunn-Sigouin, E., Furtado, J. C., Garfinkel, C. I.,
Hitchcock, P., Karpechko, A. Y., Kim, H., Knight, J., Lang, A. L., Lim,
E.-P., Marshall, A., Roff, G., Schwartz, C., Simpson, I. R., Son, S.-W., and
Taguchi, M.: The Role of the Stratosphere in Subseasonal to Seasonal
Prediction: 1. Predictability of the Stratosphere, J. Geophys.
Res.-Atmos., 125, e2019JD030920,
https://doi.org/10.1029/2019JD030920, 2020a. a
Domeisen, D. I. V., Butler, A. H., Charlton-Perez, A. J., Ayarzagüena, B.,
Baldwin, M. P., Dunn-Sigouin, E., Furtado, J. C., Garfinkel, C. I.,
Hitchcock, P., Karpechko, A. Y., Kim, H., Knight, J., Lang, A. L., Lim,
E.-P., Marshall, A., Roff, G., Schwartz, C., Simpson, I. R., Son, S.-W., and
Taguchi, M.: The Role of the Stratosphere in Subseasonal to Seasonal
Prediction: 2. Predictability Arising From Stratosphere-Troposphere Coupling,
J. Geophys. Res.-Atmos., 125, e2019JD030923,
https://doi.org/10.1029/2019JD030923, 2020b. a
Dunkerton, T. J.: Nearly identical cycles of the quasi-biennial oscillation in
the equatorial lower stratosphere, J. Geophys. Res.-Atmos., 122, 8467–8493, https://doi.org/10.1002/2017JD026542, 2017. a
European Centre for Medium-range Weather Forecast (ECMWF): The ERA-Interim reanalysis dataset, Copernicus Climate Change Service (C3S), available at: https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim
(last access: 6 October 2020), 2011. a
Fletcher, C. G. and Kushner, P. J.: The Role of Linear Interference in the
Annular Mode Response to Tropical SST Forcing, J. Climate, 24, 778–794, 2011. a
Fletcher, C. G. and Kushner, P. J.: Linear interference and the Northern
Annular Mode response to tropical SST forcing: Sensitivity to model
configuration, J. Geophys. Res.-Atmos., 118, 4267–4279,
https://doi.org/10.1002/jgrd.50385, 2013. a
Fraedrich, K., Pawson, S., and Wang, R.: An EOF Analysis of the
Vertical-Time Delay Structure of the Quasi-Biennial Oscillation., J.
Atmos. Sci., 50, 3357–3365, https://doi.org/10.1175/1520-0469(1993)050<3357:AEAOTV>2.0.CO;2, 1993. a
Garfinkel, C., Hartmann, D., and Sassi, F.: Tropospheric Precursors of
Anomalous Northern Hemisphere Stratospheric Polar Vortices, J.
Climate, 23, 3282–3299, https://doi.org/10.1175/2010JCLI3010.1, 2010. a
Garfinkel, C., Butler, A., Waugh, D., Hurwitz, M., and Polvani, L.: Why might
stratospheric sudden warmings occur with similar frequency in El Niño and La
Niña winters?, J. Geophys. Res.-Atmos., 117, D19106, https://doi.org/10.1029/2012JD017777, 2012. a, b
Garfinkel, C., Schwartz, C., White, I., and Rao, J.: Predictability of the
Early Winter Arctic Oscillation from Autumn Eurasian Snowcover in
Subseasonal Forecast Models, Clim. Dynam., 55, 961–974,
https://doi.org/10.1007/s00382-020-05305-3, 2020. a
Garfinkel, C. I. and Hartmann, D. L.: Different ENSO teleconnections and their
effects on the stratospheric polar vortex, J. Geophys. Res.-Atmos., 113, D18114, https://doi.org/10.1029/2008JD009920, 2008. a
Garfinkel, C. I., Hurwitz, M. M., and Oman, L. D.: Effect of recent sea surface
temperature trends on the Arctic stratospheric vortex, J. Geophys.
Res.-Atmos., 120, 5404–5416, 2015. a
Garfinkel, C. I., Son, S.-W., Song, K., Aquila, V., and Oman, L. D.:
Stratospheric variability contributed to and sustained the recent hiatus in
Eurasian winter warming, Geophys. Res. Lett., 44, 374–382,
https://doi.org/10.1002/2016GL072035, 2017. a, b
Garfinkel, C. I., Schwartz, C., Domeisen, D. I. V., Son, S.-W., Butler, A. H.,
and White, I. P.: Extratropical Atmospheric Predictability From the
Quasi-Biennial Oscillation in Subseasonal Forecast Models, J.
Geophys. Res.-Atmos., 123, 7855–7866, 2018. a
Gray, L., Brown, M., Knight, J., Andrews, M., Lu, H., O'Reilly, C., and Anstey,
J.: Forecasting extreme stratospheric polar vortex events, Nat.
Commun., 11, 4630, https://doi.org/10.1038/s41467-020-18299-7, 2020. a
Grinsted, A., Moore, J. C., and Jevrejeva, S.: Application of the cross wavelet transform and wavelet coherence to geophysical time series, Nonlin. Processes Geophys., 11, 561–566, https://doi.org/10.5194/npg-11-561-2004, 2004. a
Gruzdev, A. N. and Bezverkhny, V. A.: Two regimes of the quasi-biennial
oscillation in the equatorial stratospheric wind, J. Geophy. Res., 105,
29435–29444, https://doi.org/10.1029/2000JD900495, 2000. a
Henderson, G., Peings, Y., Furtado, J., and Kushner, P.: Snow-atmosphere
coupling in the Northern Hemisphere, Nat. Clim. Change, 8, 954–964,
https://doi.org/10.1038/s41558-018-0295-6, 2018. a
Hirota, N., Shiogama, H., Akiyoshi, H., Ogura, T., Takahashi, M., Kawatani, Y.,
Kimoto, M., and Mori, M.: The influences of El Nino and Arctic sea-ice on the
QBO disruption in February 2016, NPJ Clim. Atmos. Sci., 1, 10,
https://doi.org/10.1038/s41612-018-0020-1, 2018. a
Holton, J. R. and Tan, H. C.: The Influence of the Equatorial Quasi-Biennial
Oscillation on the Global Circulation at 50 mb, J. Atmos.
Sci., 37, 2200–2208, https://doi.org/10.1175/1520-0469, 1980. a
Holton, J. R. and Tan, H.-C.: The Quasi-Biennial Oscillation in the Northern
Hemisphere Lower Stratosphere, J. Meteorol. Soc.
Jpn., 60, 140–148, https://doi.org/10.2151/jmsj1965.60.1_140, 1982. a
Horan, M. F. and Reichler, T.: Modeling Seasonal Sudden Stratospheric Warming
Climatology Based on Polar Vortex Statistics, J. Climate, 30, 10101–10116, 2017. a
Hu, D. and Guan, Z.: Decadal Relationship between the Stratospheric Arctic
Vortex and Pacific Decadal Oscillation, J. Climate, 31, 3371–3386,
https://doi.org/10.1175/JCLI-D-17-0266.1, 2018. a, b
Ineson, S. and Scaife, A. A.: The role of the stratosphere in the European
climate response to El Niño, Nat. Geosci., 2, 32–36,
https://doi.org/10.1038/ngeo381, 2009. a
Iza, M., Calvo, N., and Manzini, E.: The Stratospheric Pathway of La Niña,
J. Climate, 29, 8899–8914, https://doi.org/10.1175/JCLI-D-16-0230.1, 2016. a
Kang, W. and Tziperman, E.: More Frequent Sudden Stratospheric Warming Events
due to Enhanced MJO Forcing Expected in a Warmer Climate, J.
Climate, 30, 8727–8743, https://doi.org/10.1175/JCLI-D-17-0044.1, 2017. a
Kawatani, Y., Hamilton, K., Miyazaki, K., Fujiwara, M., and Anstey, J. A.: Representation of the tropical stratospheric zonal wind in global atmospheric reanalyses, Atmos. Chem. Phys., 16, 6681–6699, https://doi.org/10.5194/acp-16-6681-2016, 2016. a
Kidston, J., Scaife, A., Hardiman, S., Mitchell, D., Butchart, N., Baldwin, M.,
and Gray, L.: Stratospheric influence on tropospheric jet streams, storm
tracks and surface weather, Nat. Geosci., 8, 433–440,
https://doi.org/10.1038/ngeo2424, 2015. a, b
Kim, J. and Kim, K.-Y.: Characteristics of stratospheric polar vortex
fluctuations associated with sea ice variability in the Arctic winter,
Clim. Dynam., 54, 3599–3611, https://doi.org/10.1007/s00382-020-05191-9, 2020. a
Kren, A. C., Marsh, D. R., Smith, A. K., and Pilewskie, P.: Wintertime
Northern Hemisphere Response in the Stratosphere to the Pacific Decadal
Oscillation Using the Whole Atmosphere Community Climate Model, J.
Climate, 29, 1031–1049, https://doi.org/10.1175/JCLI-D-15-0176.1, 2016. a
Kretschmer, M., Cohen, J., Matthias, V., Runge, J., and Coumou, D.:
Stratospheric influence on tropospheric jet streams, storm tracks and surface
weather, NPJ Clim. Atmos. Sci., 1, 433–440,
https://doi.org/10.1038/s41612-018-0054-4, 2018. a
Krzywinski, M. and Altman, N.: Multiple linear regression, Nat. Meth., 12,
1103–1104, 2015. a
Labe, Z., Peings, Y., and Magnusdottir, G.: The Effect of QBO Phase on the
Atmospheric Response to Projected Arctic Sea Ice Loss in Early Winter,
Geophys. Res. Lett., 46, 7663–7671, 2019. a
Lau, K.-M. and Weng, H.: Climate Signal Detection Using Wavelet Transform: How
to Make a Time Series Sing, B. Am. Meteorol. Soc.,
76, 2391–2402, https://doi.org/10.1175/1520-0477(1995)076<2391:CSDUWT>2.0.CO;2, 1995. a
Lehtonen, I. and Karpechko, A. Y.: Observed and modeled tropospheric cold
anomalies associated with sudden stratospheric warmings, J.
Geophys. Res.-Atmos., 121, 1591–1610, 2016. a
Lu, H., Baldwin, M., Gray, L., and Jarvis, M.: Decadal-scale changes in the
effect of the QBO on the northern stratospheric polar vortex, J.
Geophys. Res. Atmos., 113, 102–116, https://doi.org/10.1029/2007JD009647,
2008. a, b, c, d
Lu, H., Bracegirdle, T. J., Phillips, T., Bushell, A., and Gray, L.: Mechanisms
for the Holton-Tan relationship and its decadal variation, J.
Geophys. Res.-Atmos., 119, 2811–2830,
https://doi.org/10.1002/2013JD021352, 2014. a, b, c
Manney, G. L., Krüger, K., Sabutis, J. L., Sena, S. A., and Pawson, S.: The
remarkable 2003–2004 winter and other recent warm winters in the Arctic
stratosphere since the late 1990s, J. Geophys. Res.-Atmos., 110, D04107, https://doi.org/10.1029/2004JD005367, 2005. a, b
Mantua, N., Hare, S., Zhang, Y., Wallace, J., and Francis, R.: A Pacific
Interdecadal Climate Oscillation with Impacts on Salmon Production, B. Am. Meteorol. Soc., 78, 1069–1079,
https://doi.org/10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2, 1997. a, b, c
Manzini, E., Giorgetta, M. A., Esch, M., Kornblueh, L., and Roeckner, E.: The
Influence of Sea Surface Temperatures on the Northern Winter Stratosphere:
Ensemble Simulations with the MAECHAM5 Model, J. Climate, 19,
3863–3881, https://doi.org/10.1175/JCLI3826.1, 2006. a, b
Manzini, E., Cagnazzo, C., Fogli, P. G., Bellucci, A., and Müller, W. A.:
Stratosphere-troposphere coupling at inter-decadal time scales: Implications
for the North Atlantic Ocean, Geophys. Res. Lett., 39, L05801,
https://doi.org/10.1029/2011GL050771, 2012. a
Menary, M. B., Kuhlbrodt, T., Ridley, J., Andrews, M. B., Dimdore-Miles, O. B.,
Deshayes, J., Eade, R., Gray, L., Ineson, S., Mignot, J., Roberts, C. D.,
Robson, J., Wood, R. A., and Xavier, P.: Preindustrial Control Simulations
With HadGEM3-GC3.1 for CMIP6, J. Adv. Model. Earth Sy.,
10, 3049–3075, https://doi.org/10.1029/2018MS001495, 2018. a, b
Minobe, S.: Resonance in bidecadal and pentadecadal climate oscillations over
the North Pacific: Role in climatic regime shifts, Geophys. Res.
Lett., 26, 855–858, https://doi.org/10.1029/1999GL900119, 1999. a
Mulcahy, J. P., Jones, C., Sellar, A., Johnson, B., Boutle, I. A., Jones, A.,
Andrews, T., Rumbold, S. T., Mollard, J., Bellouin, N., Johnson, C. E.,
Williams, K. D., Grosvenor, D. P., and McCoy, D. T.: Improved Aerosol
Processes and Effective Radiative Forcing in HadGEM3 and UKESM1, J.
Adv. Model. Earth Sy., 10, 2786–2805, https://doi.org/10.1029/2018MS001464, 2018. a, b
Nakamura, T., Yamazaki, K., Iwamoto, K., Honda, M., Miyoshi, Y., Ogawa, Y.,
Tomikawa, Y., and Ukita, J.: The stratospheric pathway for Arctic impacts on
midlatitude climate, Geophys. Res. Lett., 43, 3494–3501, 2016. a
Newman, M., Alexander, M. A., Ault, T. R., Cobb, K. M., Deser, C., Lorenzo,
E. D., Mantua, N. J., Miller, A. J., Minobe, S., Nakamura, H., Schneider, N.,
Vimont, D. J., Phillips, A. S., Scott, J. D., and Smith, C. A.: The Pacific
Decadal Oscillation, Revisited, J. Climate, 29, 4399–4427, 2016. a
Osprey, S. M., Gray, L. J., Hardiman, S. C., Butchart, N., Bushell, A. C., and
Hinton, T. J.: Stratospheric role in interdecadal changes of El Niño impacts
over Europe, Clim. Dynam., 52, 1173–1186, 2019. a
Overland, J. E., Adams, J. M., and Bond, N. A.: Decadal Variability of the
Aleutian Low and Its Relation to High-Latitude Circulation, J.
Climate, 12, 1542–1548, https://doi.org/10.1175/1520-0442, 1999. a, b
Pascoe, C. L., Gray, L. J., Crooks, S. A., Juckes, M. N., and Baldwin, M. P.:
The quasi-biennial oscillation: Analysis using ERA-40 data, J.
Geophys. Res.-Atmos., 110, 1–13, https://doi.org/10.1029/2004JD004941,
2005. a, b, c
Pawson, S. and Naujokat, B.: The cold winters of the middle 1990s in the
northern lower stratosphere, J. Geophys. Res.-Atmos.,
104, 14209–14222, https://doi.org/10.1029/1999JD900211, 1999. a, b
Raible, C., Stocker, T., Yoshimori, M., Renold, M., Beyerle, U., Casty, C., and
Luterbacher, J.: Northern Hemispheric Trends of Pressure Indices and
Atmospheric Circulation Patterns in Observations, Reconstructions, and
Coupled GCM Simulations, J. Climate, 18, 3968–3982, https://doi.org/10.1175/JCLI3511.1,
2005. a
Rajendran, K., Moroz, I., Read, P., and Osprey, S.: Synchronisation of the
equatorial QBO by the annual cycle in tropical upwelling in a warming
climate, Q. J. Roy. Meteor. Soc., 142, 1111–1120,
https://doi.org/10.1002/qj.2714, 2015. a
Rao, J. and Ren, R.: A decomposition of ENSO's impacts on the northern winter
stratosphere: Competing effect of SST forcing in the tropical Indian Ocean,
Clim. Dynam., 46, 3689–3707, https://doi.org/10.1007/s00382-015-2797-5, 2015. a
Rao, J. and Ren, R.: Varying stratospheric responses to tropical Atlantic SST
forcing from early to late winter, Clim. Dynam., 51, 2079–2096,
https://doi.org/10.1007/s00382-017-3998-x, 2017. a
Rao, J., Ren, R., Xia, X., Shi, C., and Guo, D.: Combined Impact of El
Niño-Southern Oscillation and Pacific Decadal Oscillation on the Northern
Winter Stratosphere, Atmosphere, 10, 211, https://doi.org/10.3390/atmos10040211, 2019. a
Rao, J., Garfinkel, C. I., and White, I. P.: Impact of the Quasi-Biennial
Oscillation on the Northern Winter Stratospheric Polar Vortex in CMIP5/6
Models, J. Climate, 33, 4787–4813, https://doi.org/10.1175/JCLI-D-19-0663.1,
2020. a
Richter, J., Deser, C., and Sun, L.: Effects of stratospheric variability on El
Niño teleconnections, Environ. Res. Lett., 10, 124021,
https://doi.org/10.1088/1748-9326/10/12/124021, 2015. a
Ridley, J. K., Blockley, E. W., Keen, A. B., Rae, J. G. L., West, A. E., and Schroeder, D.: The sea ice model component of HadGEM3-GC3.1, Geosci. Model Dev., 11, 713–723, https://doi.org/10.5194/gmd-11-713-2018, 2018. a
Rodionov, S. N., Overland, J. E., and Bond, N. A.: The Aleutian Low and
Winter Climatic Conditions in the Bering Sea. Part I: Classification,
J. Climate, 18, 160–177, https://doi.org/10.1175/JCLI3253.1, 2005. a, b
Santoso, A., Mcphaden, M. J., and Cai, W.: The Defining Characteristics of ENSO
Extremes and the Strong 2015/2016 El Niño, Rev. Geophys., 55,
1079–1129, https://doi.org/10.1002/2017RG000560, 2017. a
Scaife, A. A., Comer, R. E., Dunstone, N. J., Knight, J. R., Smith, D. M.,
MacLachlan, C., Martin, N., Peterson, K. A., Rowlands, D., Carroll, E. B.,
Belcher, S., and Slingo, J.: Tropical rainfall, Rossby waves and regional
winter climate predictions, Q. J. Roy. Meteor.
Soc., 143, 1–11, https://doi.org/10.1002/qj.2910, 2017. a, b
Schenzinger, V.: Tropical stratosphere variability and extratropical
teleconnections, PhD thesis, University of Oxford, Oxford, UK, 202 pp., 2016. a
Schimanke, S., Körper, J., Spangehl, T., and Cubasch, U.: Multi-decadal
variability of sudden stratospheric warmings in an AOGCM, Geophys.
Res. Lett., 38, 1–6, https://doi.org/10.1029/2010GL045756, 2011. a
Seviour, W. J. M.: Weakening and shift of the Arctic stratospheric polar
vortex: Internal variability or forced response?, Geophys. Res.
Lett., 44, 3365–3373, https://doi.org/10.1002/2017GL073071, 2017. a
Shindell, D. T., Miller, R. L., Schmidt, G. A., and Pandolfo, L.: Simulation of
recent northern winter climate trends by greenhouse-gas forcing, Nature, 399,
452–455, https://doi.org/10.1038/20905, 1999. a, b
Smith, K. L. and Kushner, P. J.: Linear interference and the initiation of
extratropical stratosphere-troposphere interactions, J. Geophys.
Res.-Atmos., 117, 13107, https://doi.org/10.1029/2012JD017587, 2012. a
Storkey, D., Blaker, A. T., Mathiot, P., Megann, A., Aksenov, Y., Blockley, E. W., Calvert, D., Graham, T., Hewitt, H. T., Hyder, P., Kuhlbrodt, T., Rae, J. G. L., and Sinha, B.: UK Global Ocean GO6 and GO7: a traceable hierarchy of model resolutions, Geosci. Model Dev., 11, 3187–3213, https://doi.org/10.5194/gmd-11-3187-2018, 2018. a
Sugimoto, S. and Hanawa, K.: Decadal and Interdecadal Variations of the
Aleutian Low Activity and Their Relation to Upper Oceanic Variations over the
North Pacific, J. Meteorol. Soc. Jpn., 87,
601–614, https://doi.org/10.2151/jmsj.87.601, 2009. a
Taguchi, M. and Hartmann, D. L.: Increased Occurrence of Stratospheric
Sudden Warmings during El Niño as Simulated by WACCM, J. Climate,
19, 324–332, https://doi.org/10.1175/JCLI3655.1, 2006. a
Tang, Y., Rumbold, S., Ellis, R., Kelley, D., Mulcahy, J., Sellar, A., Walton, J., and Jones, C.: MOHC
UKESM1.0-LL model output prepared for CMIP6 CMIP piControl, Earth System Grid Federation, https://doi.org/10.22033/ESGF/CMIP6.6298, 2019. a
Thompson, D. W. J.: Stratospheric connection to northern hemisphere wintertime
weather: Implications for prediction, J. Climate, 16, 2433–2433,
2003. a
Tomassini, L., Gerber, E. P., Baldwin, M. P., Bunzel, F., and Giorgetta, M.:
The role of stratosphere-troposphere coupling in the occurrence of extreme
winter cold spells over northern Europe, J. Adv. Model.
Earth Sy., 4, M00A03, https://doi.org/10.1029/2012MS000177, 2012. a
Torrence, C. and Compo, G. P.: A Practical Guide to Wavelet Analysis,
B. Am. Meteorol. Soc., 79, 61–78, https://doi.org/10.1175/1520-0477,
1998. a, b, c, d
Trenberth, K. and Hurrell, J.: Decadal Atmosphere-Ocean Variations in the
Pacific, Clim. Dynam., 9, 303–319, https://doi.org/10.1007/BF00204745, 1994. a
Trenberth, K. E. and Stepaniak, D. P.: Indices of El Niño Evolution, J. Climate, 14, 1697–1701, https://doi.org/10.1175/1520-0442(2001)014<1697:LIOENO>2.0.CO;2, 2001. a
Tsuyoshi, N. and Shingo, Y.: Recent warming of tropical sea surface temperature
and its relationship to the northern hemisphere circulation, J.
Meteorol. Soc. Jpn., 67, 375–383, https://doi.org/10.2151/jmsj1965.67.3_375, 1989. a
Wallace, J. M., Panetta, R. L., and Estberg, J.: Representation of the
Equatorial Stratospheric Quasi-Biennial Oscillation in EOF Phase Space,
J. Atmos. Sci., 50, 1751–1762, https://doi.org/10.1175/1520-0469,
1993. a
Walters, D., Baran, A. J., Boutle, I., Brooks, M., Earnshaw, P., Edwards, J., Furtado, K., Hill, P., Lock, A., Manners, J., Morcrette, C., Mulcahy, J., Sanchez, C., Smith, C., Stratton, R., Tennant, W., Tomassini, L., Van Weverberg, K., Vosper, S., Willett, M., Browse, J., Bushell, A., Carslaw, K., Dalvi, M., Essery, R., Gedney, N., Hardiman, S., Johnson, B., Johnson, C., Jones, A., Jones, C., Mann, G., Milton, S., Rumbold, H., Sellar, A., Ujiie, M., Whitall, M., Williams, K., and Zerroukat, M.: The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., 12, 1909–1963, https://doi.org/10.5194/gmd-12-1909-2019, 2019.
a, b
Watson, P. A. and Gray, L. J.: How does the quasi-biennial oscillation affect
the stratospheric polar vortex?, J. Atmos. Sci., 71,
391–409, https://doi.org/10.1175/JAS-D-13-096.1, 2014. a
Williams, K. D., Copsey, D., Blockley, E. W., Bodas-Salcedo, A., Calvert, D.,
Comer, R., Davis, P., Graham, T., Hewitt, H. T., Hill, R., Hyder, P., Ineson,
S., Johns, T. C., Keen, A. B., Lee, R. W., Megann, A., Milton, S. F., Rae, J.
G. L., Roberts, M. J., Scaife, A. A., Schiemann, R., Storkey, D., Thorpe, L.,
Watterson, I. G., Walters, D. N., West, A., Wood, R. A., Woollings, T., and
Xavier, P. K.: The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and
GC3.1) Configurations, J. Adv. Model. Earth Sy., 10,
357–380, https://doi.org/10.1002/2017MS001115, 2018. a
Woo, S.-H., Sung, M.-K., Son, S.-W., and Kug, J.-S.: Connection
between weak stratospheric vortex events and the Pacific Decadal
Oscillation, Clim. Dynam., 45, 3481–3492,
https://doi.org/10.1007/s00382-015-2551-z, 2015. a, b, c, d
Yang, M. and Yu, Y.: Attribution of variations in the quasi-biennial
oscillation period from the duration of easterly and westerly phases, Clim.
Dynam., 47, 1943–1959, https://doi.org/10.1007/s00382-015-2943-0, 2016. a
Yool, A., Popova, E. E., and Anderson, T. R.: MEDUSA-2.0: an intermediate complexity biogeochemical model of the marine carbon cycle for climate change and ocean acidification studies, Geosci. Model Dev., 6, 1767–1811, https://doi.org/10.5194/gmd-6-1767-2013, 2013. a
Yool, A., Palmiéri, J., Jones, C. G., Sellar, A. A., de Mora, L., Kuhlbrodt,
T., Popova, E. E., Mulcahy, J. P., Wiltshire, A., Rumbold, S. T., Stringer,
M., Hill, R. S. R., Tang, Y., Walton, J., Blaker, A., Nurser, A. J. G.,
Coward, A. C., Hirschi, J., Woodward, S., Kelley, D. I., Ellis, R., and
Rumbold-Jones, S.: Spin-up of UK Earth System Model 1 (UKESM1) for CMIP6,
J. Adv. Model. Earth Sy., 12, e2019MS001933,
https://doi.org/10.1029/2019MS001933, 2020. a
Zhang, Y., Wallace, J. M., and Battisti, D. S.: ENSO-like Interdecadal
Variability: 1900–93, J. Climate, 10, 1004–1020,
https://doi.org/10.1175/1520-0442(1997)010<1004:ELIV>2.0.CO;2, 1997. a
Short summary
Observations of the stratosphere span roughly half a century, preventing analysis of multi-decadal variability in circulation using these data. Instead, we rely on long simulations of climate models. Here, we use a model to examine variations in northern polar stratospheric winds and find they vary with a period of around 90 years. We show that this is possibly due to variations in the size of winds over the Equator. This result may improve understanding of Equator–polar stratospheric coupling.
Observations of the stratosphere span roughly half a century, preventing analysis of...