Articles | Volume 1, issue 1
https://doi.org/10.5194/wcd-1-225-2020
© Author(s) 2020. 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-1-225-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nonlinearity in the tropospheric pathway of ENSO to the North Atlantic
Bernat Jiménez-Esteve
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, 8092 Zurich, Switzerland
Daniela I. V. Domeisen
Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, 8092 Zurich, Switzerland
Related authors
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.
Zheng Wu, Bernat Jiménez-Esteve, Raphaël de Fondeville, Enikő Székely, Guillaume Obozinski, William T. Ball, and Daniela I. V. Domeisen
Weather Clim. Dynam., 2, 841–865, https://doi.org/10.5194/wcd-2-841-2021, https://doi.org/10.5194/wcd-2-841-2021, 2021
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We use an advanced statistical approach to investigate the dynamics of the development of sudden stratospheric warming (SSW) events in the winter Northern Hemisphere. We identify distinct signals that are representative of these events and their event type at lead times beyond currently predictable lead times. The results can be viewed as a promising step towards improving the predictability of SSWs in the future by using more advanced statistical methods in operational forecasting systems.
Lou Brett, Christopher J. White, Daniela I.V. Domeisen, Bart van den Hurk, Philip Ward, and Jakob Zscheischler
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-182, https://doi.org/10.5194/nhess-2024-182, 2024
Preprint under review for NHESS
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Compound events, where multiple weather or climate hazards occur together, pose significant risks to both society and the environment. These events, like simultaneous wind and rain, can have more severe impacts than single hazards. Our review of compound event research from 2012–2022 reveals a rise in studies, especially on events that occur concurrently, hot and dry events and compounding flooding. The review also highlights opportunities for research in the coming years.
Bastien François, Khalil Teber, Lou Brett, Richard Leeding, Luis Gimeno-Sotelo, Daniela I. V. Domeisen, Laura Suarez-Gutierrez, and Emanuele Bevacqua
EGUsphere, https://doi.org/10.5194/egusphere-2024-2079, https://doi.org/10.5194/egusphere-2024-2079, 2024
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Spatially compounding wind and precipitation (CWP) extremes can lead to severe impacts on society. We find that concurrent climate variability modes favor the occurrence of such wintertime spatially compounding events in the Northern Hemisphere, and can even amplify the number of regions and population exposed. Our analysis highlights the importance of considering the interplay between variability modes to improve risk management of such spatially compounding events.
Chaim I. Garfinkel, Zachary D. Lawrence, Amy H. Butler, Etienne Dunn-Sigouin, Irene Erner, Alexey Yu. Karpechko, Gerbrand Koren, Marta Abalos, Blanca Ayarzaguena, David Barriopedro, Natalia Calvo, Alvaro de la Cámara, Andrew Charlton-Perez, Judah Cohen, Daniela I. V. Domeisen, Javier García-Serrano, Neil P. Hindley, Martin Jucker, Hera Kim, Robert W. Lee, Simon H. Lee, Marisol Osman, Froila M. Palmeiro, Inna Polichtchouk, Jian Rao, Jadwiga H. Richter, Chen Schwartz, Seok-Woo Son, Masakazu Taguchi, Nicholas L. Tyrrell, Corwin J. Wright, and Rachel W.-Y. Wu
EGUsphere, https://doi.org/10.5194/egusphere-2024-1762, https://doi.org/10.5194/egusphere-2024-1762, 2024
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Variability in the extratropical stratosphere and troposphere are coupled, and because of the longer timescales characteristic of the stratosphere, this allows for a window of opportunity for surface prediction. This paper assesses whether models used for operational prediction capture these coupling processes accurately. We find that most processes are too-weak, however downward coupling from the lower stratosphere to the near surface is too strong.
Rachel W.-Y. Wu, Gabriel Chiodo, Inna Polichtchouk, and Daniela I. V. Domeisen
EGUsphere, https://doi.org/10.5194/egusphere-2024-1652, https://doi.org/10.5194/egusphere-2024-1652, 2024
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Strong variations in the strength of the stratospheric polar vortex can profoundly affect surface weather extremes, therefore, accurately predicting the stratosphere can improve surface weather forecasts. The research reveals how uncertainty in the stratosphere is linked to the troposphere. The findings suggest that refining models to better represent the identified sources and impact regions in the troposphere is likely to improve the prediction of the stratosphere and its surface impacts.
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.
Luca G. Severino, Chahan M. Kropf, Hilla Afargan-Gerstman, Christopher Fairless, Andries Jan de Vries, Daniela I. V. Domeisen, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 1555–1578, https://doi.org/10.5194/nhess-24-1555-2024, https://doi.org/10.5194/nhess-24-1555-2024, 2024
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We combine climate projections from 30 climate models with a climate risk model to project winter windstorm damages in Europe under climate change. We study the uncertainty and sensitivity factors related to the modelling of hazard, exposure and vulnerability. We emphasize high uncertainties in the damage projections, with climate models primarily driving the uncertainty. We find climate change reshapes future European windstorm risk by altering damage locations and intensity.
Romain Pilon and Daniela I. V. Domeisen
Geosci. Model Dev., 17, 2247–2264, https://doi.org/10.5194/gmd-17-2247-2024, https://doi.org/10.5194/gmd-17-2247-2024, 2024
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This paper introduces a new method for detecting atmospheric cloud bands to identify long convective cloud bands that extend from the tropics to the midlatitudes. The algorithm allows for easy use and enables researchers to study the life cycle and climatology of cloud bands and associated rainfall. This method provides insights into the large-scale processes involved in cloud band formation and their connections between different regions, as well as differences across ocean basins.
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.
Maria Pyrina, Wolfgang Wicker, Andries Jan de Vries, Georgios Fragkoulidis, and Daniela I. V. Domeisen
EGUsphere, https://doi.org/10.5194/egusphere-2023-3088, https://doi.org/10.5194/egusphere-2023-3088, 2024
Preprint withdrawn
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We investigate the atmospheric dynamics behind heatwaves, specifically of those occurring simultaneously across regions, known as concurrent heatwaves. We find that heatwaves are strongly modulated by Rossby wave packets, being Rossby waves whose amplitude has a local maximum and decays at larger distances. High amplitude Rossby wave packets increase the occurrence probabilities of concurrent and non-concurrent heatwaves by a factor of 15 and 18, respectively, over several regions globally.
David Martin Straus, Daniela I. V. Domeisen, Sarah-Jane Lock, Franco Molteni, and Priyanka Yadav
Weather Clim. Dynam., 4, 1001–1018, https://doi.org/10.5194/wcd-4-1001-2023, https://doi.org/10.5194/wcd-4-1001-2023, 2023
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The global response to the Madden–Julian oscillation (MJO) is potentially predictable. Yet the diabatic heating is uncertain even within a particular episode of the MJO. Experiments with a global model probe the limitations imposed by this uncertainty. The large-scale tropical heating is predictable for 25 to 45 d, yet the associated Rossby wave source that links the heating to the midlatitude circulation is predictable for 15 to 20 d. This limitation has not been recognized in prior work.
Gabriel Chiodo, Marina Friedel, Svenja Seeber, Daniela Domeisen, Andrea Stenke, Timofei Sukhodolov, and Franziska Zilker
Atmos. Chem. Phys., 23, 10451–10472, https://doi.org/10.5194/acp-23-10451-2023, https://doi.org/10.5194/acp-23-10451-2023, 2023
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Stratospheric ozone protects the biosphere from harmful UV radiation. Anthropogenic activity has led to a reduction in the ozone layer in the recent past, but thanks to the implementation of the Montreal Protocol, the ozone layer is projected to recover. In this study, we show that projected future changes in Arctic ozone abundances during springtime will influence stratospheric climate and thereby actively modulate large-scale circulation changes in the Northern Hemisphere.
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.
Raphaël de Fondeville, Zheng Wu, Enikő Székely, Guillaume Obozinski, and Daniela I. V. Domeisen
Weather Clim. Dynam., 4, 287–307, https://doi.org/10.5194/wcd-4-287-2023, https://doi.org/10.5194/wcd-4-287-2023, 2023
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We propose a fully data-driven, interpretable, and computationally scalable framework to characterize sudden stratospheric warmings (SSWs), extract statistically significant precursors, and produce machine learning (ML) forecasts. By successfully leveraging the long-lasting impact of SSWs, the ML predictions outperform sub-seasonal numerical forecasts for lead times beyond 25 d. Post-processing numerical predictions using their ML counterparts yields a performance increase of up to 20 %.
Wolfgang Wicker, Inna Polichtchouk, and Daniela I. V. Domeisen
Weather Clim. Dynam., 4, 81–93, https://doi.org/10.5194/wcd-4-81-2023, https://doi.org/10.5194/wcd-4-81-2023, 2023
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Sudden stratospheric warmings are extreme weather events where the winter polar stratosphere warms by about 25 K. An improved representation of small-scale gravity waves in sub-seasonal prediction models can reduce forecast errors since their impact on the large-scale circulation is predictable multiple weeks ahead. After a sudden stratospheric warming, vertically propagating gravity waves break at a lower altitude than usual, which strengthens the long-lasting positive temperature anomalies.
Marina Friedel, Gabriel Chiodo, Andrea Stenke, Daniela I. V. Domeisen, and Thomas Peter
Atmos. Chem. Phys., 22, 13997–14017, https://doi.org/10.5194/acp-22-13997-2022, https://doi.org/10.5194/acp-22-13997-2022, 2022
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In spring, winds the Arctic stratosphere change direction – an event called final stratospheric warming (FSW). Here, we examine whether the interannual variability in Arctic stratospheric ozone impacts the timing of the FSW. We find that Arctic ozone shifts the FSW to earlier and later dates in years with high and low ozone via the absorption of UV light. The modulation of the FSW by ozone has consequences for surface climate in ozone-rich years, which may result in better seasonal predictions.
Nora Bergner, Marina Friedel, Daniela I. V. Domeisen, Darryn Waugh, and Gabriel Chiodo
Atmos. Chem. Phys., 22, 13915–13934, https://doi.org/10.5194/acp-22-13915-2022, https://doi.org/10.5194/acp-22-13915-2022, 2022
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Polar vortex extremes, particularly situations with an unusually weak cyclonic circulation in the stratosphere, can influence the surface climate in the spring–summer time in the Southern Hemisphere. Using chemistry-climate models and observations, we evaluate the robustness of the surface impacts. While models capture the general surface response, they do not show the observed climate patterns in midlatitude regions, which we trace back to biases in the models' circulations.
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
Short summary
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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.
Rachel Wai-Ying Wu, Zheng Wu, and Daniela I.V. Domeisen
Weather Clim. Dynam., 3, 755–776, https://doi.org/10.5194/wcd-3-755-2022, https://doi.org/10.5194/wcd-3-755-2022, 2022
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Accurate predictions of the stratospheric polar vortex can enhance surface weather predictability. Stratospheric events themselves are less predictable, with strong inter-event differences. We assess the predictability of stratospheric acceleration and deceleration events in a sub-seasonal prediction system, finding that the predictability of events is largely dependent on event magnitude, while extreme drivers of deceleration events are not fully represented in the model.
Peter Hitchcock, Amy Butler, Andrew Charlton-Perez, Chaim I. Garfinkel, Tim Stockdale, James Anstey, Dann Mitchell, Daniela I. V. Domeisen, Tongwen Wu, Yixiong Lu, Daniele Mastrangelo, Piero Malguzzi, Hai Lin, Ryan Muncaster, Bill Merryfield, Michael Sigmond, Baoqiang Xiang, Liwei Jia, Yu-Kyung Hyun, Jiyoung Oh, Damien Specq, Isla R. Simpson, Jadwiga H. Richter, Cory Barton, Jeff Knight, Eun-Pa Lim, and Harry Hendon
Geosci. Model Dev., 15, 5073–5092, https://doi.org/10.5194/gmd-15-5073-2022, https://doi.org/10.5194/gmd-15-5073-2022, 2022
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This paper describes an experimental protocol focused on sudden stratospheric warmings to be carried out by subseasonal forecast modeling centers. These will allow for inter-model comparisons of these major disruptions to the stratospheric polar vortex and their impacts on the near-surface flow. The protocol will lead to new insights into the contribution of the stratosphere to subseasonal forecast skill and new approaches to the dynamical attribution of extreme events.
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.
Adam A. Scaife, Mark P. Baldwin, Amy H. Butler, Andrew J. Charlton-Perez, Daniela I. V. Domeisen, Chaim I. Garfinkel, Steven C. Hardiman, Peter Haynes, Alexey Yu Karpechko, Eun-Pa Lim, Shunsuke Noguchi, Judith Perlwitz, Lorenzo Polvani, Jadwiga H. Richter, John Scinocca, Michael Sigmond, Theodore G. Shepherd, Seok-Woo Son, and David W. J. Thompson
Atmos. Chem. Phys., 22, 2601–2623, https://doi.org/10.5194/acp-22-2601-2022, https://doi.org/10.5194/acp-22-2601-2022, 2022
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Great progress has been made in computer modelling and simulation of the whole climate system, including the stratosphere. Since the late 20th century we also gained a much clearer understanding of how the stratosphere interacts with the lower atmosphere. The latest generation of numerical prediction systems now explicitly represents the stratosphere and its interaction with surface climate, and here we review its role in long-range predictions and projections from weeks to decades ahead.
Zheng Wu, Bernat Jiménez-Esteve, Raphaël de Fondeville, Enikő Székely, Guillaume Obozinski, William T. Ball, and Daniela I. V. Domeisen
Weather Clim. Dynam., 2, 841–865, https://doi.org/10.5194/wcd-2-841-2021, https://doi.org/10.5194/wcd-2-841-2021, 2021
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We use an advanced statistical approach to investigate the dynamics of the development of sudden stratospheric warming (SSW) events in the winter Northern Hemisphere. We identify distinct signals that are representative of these events and their event type at lead times beyond currently predictable lead times. The results can be viewed as a promising step towards improving the predictability of SSWs in the future by using more advanced statistical methods in operational forecasting systems.
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.
Hilla Afargan-Gerstman, Iuliia Polkova, Lukas Papritz, Paolo Ruggieri, Martin P. King, Panos J. Athanasiadis, Johanna Baehr, and Daniela I. V. Domeisen
Weather Clim. Dynam., 1, 541–553, https://doi.org/10.5194/wcd-1-541-2020, https://doi.org/10.5194/wcd-1-541-2020, 2020
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We investigate the stratospheric influence on marine cold air outbreaks (MCAOs) in the North Atlantic using ERA-Interim reanalysis data. MCAOs are associated with severe Arctic weather, such as polar lows and strong surface winds. Sudden stratospheric events are found to be associated with more frequent MCAOs in the Barents and the Norwegian seas, affected by the anomalous circulation over Greenland and Scandinavia. Identification of MCAO precursors is crucial for improved long-range prediction.
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.
Matthias Fischer, Daniela I. V. Domeisen, Wolfgang A. Müller, and Johanna Baehr
Earth Syst. Dynam., 8, 129–146, https://doi.org/10.5194/esd-8-129-2017, https://doi.org/10.5194/esd-8-129-2017, 2017
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In a climate projection experiment with the Max Planck Institute Earth System Model (MPI-ESM), we find that a decline in the Atlantic Ocean meridional heat transport (OHT) is accompanied by a change in the seasonal cycle of the total OHT and its components. We found a northward shift of 5° and latitude-dependent shifts between 1 and 6 months in the seasonal cycle that are mainly associated with changes in the meridional velocity field rather than the temperature field.
Related subject area
Atmospheric teleconnections incl. stratosphere–troposphere coupling
Model spread in multidecadal North Atlantic Oscillation variability connected to stratosphere–troposphere coupling
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
Origins of multi-decadal variability in sudden stratospheric warmings
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
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.
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.
Oscar Dimdore-Miles, Lesley Gray, and Scott Osprey
Weather Clim. Dynam., 2, 205–231, https://doi.org/10.5194/wcd-2-205-2021, https://doi.org/10.5194/wcd-2-205-2021, 2021
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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.
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.
Cited articles
Ayarzagüena, B., Ineson, S., Dunstone, N. J., Baldwin, M. P., and Scaife,
A. A.: Intraseasonal Effects of El Niño–Southern Oscillation on North Atlantic Climate, J. Climate, 31, 8861–8873, https://doi.org/10.1175/JCLI-D-18-0097.1, 2018. 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, b
Barnston, A. G. and Livezey, R. E.: Classification, Seasonality and Persistence of Low-Frequency Atmospheric Circulation Patterns, Mon. Weather
Rev., 115, 1083–1126, https://doi.org/10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO;2,
1987. a
Bayr, T., Domeisen, D. I. V., and Wengel, C.: The effect of the equatorial
Pacific cold SST bias on simulated ENSO teleconnections to the North Pacific
and California, Clim. Dynam., 31, 1–19, https://doi.org/10.1007/s00382-019-04746-9, 2019. a
Bjerknes, J.: Atmospheric Teleconnections from the Equatorial Pacific, Mon. Weather Rev., 97, 163–172,
https://doi.org/10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO;2, 1969. a
Brönnimann, S.: Impact of El Niño–Southern Oscillation on European
climate, Rev. Geophys., 45, RG3003, https://doi.org/10.1029/2006RG000199, 2007. a
Butler, A. H. and Polvani, L. M.: El Niño, La Niña, and stratospheric sudden warmings: A reevaluation in light of the observational record, Geophys. Res. Lett., 38, 1–5, https://doi.org/10.1029/2011GL048084, 2011. a, b
Butler, A. H., Polvani, L. M., and Deser, C.: Separating the stratospheric and tropospheric pathways of El Niño–Southern Oscillation teleconnections, Environ. Res. Lett., 9, 024014,
https://doi.org/10.1088/1748-9326/9/2/024014, 2014. a, b, c
Calvo, N., Giorgetta, M. A., Garcia-Herrera, R., and Manzini, E.: Nonlinearity of the combined warm ENSO and QBO effects on the Northern Hemisphere polar vortex in MAECHAM5 simulations, J. Geophys. Res.-Atmos., 114, D13109, https://doi.org/10.1029/2008JD011445, 2009. a
Calvo, N., Iza, M., Hurwitz, M. M., Manzini, E., Peña-Ortiz, C., Butler,
A. H., Cagnazzo, C., Ineson, S., and Garfinkel, C. I.: Northern Hemisphere
Stratospheric Pathway of Different El Niño Flavors in Stratosphere-Resolving CMIP5 Models, J. Climate, 30, 4351–4371,
https://doi.org/10.1175/JCLI-D-16-0132.1, 2017. a
Capotondi, A., Wittenberg, A. T., Newman, M., Di Lorenzo, E., Yu, J.-Y.,
Braconnot, P., Cole, J., Dewitte, B., Giese, B., Guilyardi, E., Jin, F.-F.,
Karnauskas, K., Kirtman, B., Lee, T., Schneider, N., Xue, Y., and Yeh, S.-W.:
Understanding ENSO Diversity, B. Am. Meteorol. Soc., 96, 921–938, 2015. a
Castanheira, J. M. and Graf, H.: North Pacific–North Atlantic relationships
under stratospheric control?, J. Geophys. Res., 108, 4036, https://doi.org/10.1029/2002JD002754, 2003. 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. Meteorol. Soc., 137, 553–597,
https://doi.org/10.1002/qj.828, 2011. a, b
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
Deser, C., Simpson, I. R., Phillips, A. S., and McKinnon, K. A.: How Well Do
We Know ENSO's Climate Impacts over North America, and How Do We Evaluate Models Accordingly?, J. Climate, 31, 4991–5014, https://doi.org/10.1175/JCLI-D-17-0783.1, 2018. a
Diaz, H. F., Hoerling, M. P., and Eischeid, J. K.: ENSO variability,
teleconnections and climate change, Int. J. Climatol., 21, 1845–1862,
https://doi.org/10.1002/joc.631, 2001. 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, 2015. a, b
Domeisen, D. I. V., Badin, G., and Koszalka, I. M.: How predictable are the
Arctic and North Atlantic Oscillations? Exploring the variability and
predictability of the Northern Hemisphere, J. Climate, 31, 997–1014,
https://doi.org/10.1175/JCLI-D-17-0226.1, 2018. a
Domeisen, D. I. V., Garfinkel, C. I., and Butler, A. H.: The Teleconnection of El Niño Southern Oscillation to the Stratosphere, Rev. Geophys., 57, 5–47, https://doi.org/10.1029/2018RG000596, 2019. a, b, c
Drouard, M., Rivière, G., and Arbogast, P.: The North Atlantic Oscillation Response to Large-Scale Atmospheric Anomalies in the Northeastern
Pacific, J. Atmos. Sci., 70, 2854–2874, https://doi.org/10.1175/JAS-D-12-0351.1, 2013. a, b
Drouard, M., Rivière, G., and Arbogast, P.: The Link between the North
Pacific Climate Variability and the North Atlantic Oscillation via Downstream
Propagation of Synoptic Waves, J. Climate, 28, 3957–3976,
https://doi.org/10.1175/JCLI-D-14-00552.1, 2015. a, b
Frauen, C., Dommenget, D., Tyrrell, N., Rezny, M., and Wales, S.: Analysis of
the nonlinearity of El Niño–Southern Oscillation teleconnections, J.
Climate, 27, 6225–6244, https://doi.org/10.1175/JCLI-D-13-00757.1, 2014. a, b
García-Herrera, R., Calvo, N., Garcia, R. R., and Giorgetta, M. A.:
Propagation of ENSO temperature signals into the middle atmosphere: A
comparison of two general circulation models and ERA-40 reanalysis data, J.
Geophys. Res., 111, D06101, https://doi.org/10.1029/2005JD006061, 2006. a
Garfinkel, C. I. and Hartmann, D. L.: Different ENSO teleconnections and their effects on the stratospheric polar vortex, J. Geophys. Res.-Atmos., 113, 1–14, https://doi.org/10.1029/2008JD009920, 2008. a
Garfinkel, C. I. and Hartmann, D. L.: Influence of the quasi-biennial
oscillation on the North Pacific and El Niño teleconnections, J. Geophys. Res.-Atmos., 115, D20116, https://doi.org/10.1029/2010JD014181, 2010. a
Garfinkel, C. I., Butler, A. H., Waugh, D. W., Hurwitz, M. M., and Polvani, L. M.: 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. I., Schwartz, C., Butler, A. H., Domeisen, D. I. V., Son, S., and White, I. P.: Weakening of the Teleconnection From El Niño–Southern
Oscillation to the Arctic Stratosphere Over the Past Few Decades: What Can Be
Learned From Subseasonal Forecast Models?, J. Geophys. Res.-Atmos., 124,
7683–7696, https://doi.org/10.1029/2018JD029961, 2019a. a, b
Garfinkel, C. I., Weinberger, I., White, I. P., Oman, L. D., Aquila, V., and
Lim, Y.-K.: The salience of nonlinearities in the boreal winter response to
ENSO: North Pacific and North America, Clim. Dynam., 52, 4429–4446,
https://doi.org/10.1007/s00382-018-4386-x, 2019b. a, b, c
Gong, H., Wang, L., Chen, W., Wu, R., Zhou, W., Liu, L., Nath, D., and Lan, X.: Diversity of the Wintertime Arctic Oscillation Pattern among CMIP5 Models: Role of the Stratospheric Polar Vortex, J. Climate, 32, 5235–5250,
https://doi.org/10.1175/JCLI-D-18-0603.1, 2019. a
Graf, H.-F. and Zanchettin, D.: Central Pacific El Niño, the “subtropical bridge”, and Eurasian climate, J. Geophys. Res.-Atmos.,
117, D01102, https://doi.org/10.1029/2011JD016493, 2012. a
Greatbatch, R. J., Lu, J., and Peterson, K. A.: Nonstationary impact of ENSO
on Euro-Atlantic winter climate, Geophys. Res. Lett., 31, 4–7,
https://doi.org/10.1029/2003GL018542, 2004. a
Halpert, M. S. and Ropelewski, C. F.: Surface Temperature Patterns Associated
with the Southern Oscillation, J. Climate, 5, 577–593,
https://doi.org/10.1175/1520-0442(1992)005<0577:STPAWT>2.0.CO;2, 1992. a
Hansen, F., Matthes, K., and Wahl, S.: Tropospheric QBO–ENSO Interactions
and Differences between the Atlantic and Pacific, J. Climate, 29, 1353–1368,
https://doi.org/10.1175/JCLI-D-15-0164.1, 2016. a
Hoell, A., Barlow, M., Wheeler, M. C., and Funk, C.: Disruptions of El Niño–Southern Oscillation Teleconnections by the Madden–Julian
Oscillation, Geophys. Res. Lett., 41, 998–1004, https://doi.org/10.1002/2013GL058648, 2014. a
Honda, M. and Nakamura, H.: Interannual seesaw between the Aleutian and
Icelandic lows. Part II: Its significance in the interannual variability over
the wintertime Northern Hemisphere, J. Climate, 14, 4512–4529,
https://doi.org/10.1175/1520-0442(2001)014<4512:ISBTAA>2.0.CO;2, 2001. a, b
Honda, M., Kushnir, Y., Nakamura, H., Yamane, S., and Zebiak, S. E.: Formation, mechanisms, and predictability of the Aleutian-Icelandic low seesaw in ensemble AGCM simulations, J. Climate, 18, 1423–1434, https://doi.org/10.1175/JCLI3353.1, 2005. a
Horel, J. D. and Wallace, J. M.: Planetary-Scale Atmospheric Phenomena
Associated with the Southern Oscillation, Mon. Weather Rev., 109, 813–829,
https://doi.org/10.1175/1520-0493(1981)109<0813:PSAPAW>2.0.CO;2, 1981. a
Hoskins, B. J. and Karoly, D. J.: The Steady Linear Response of a Spherical
Atmosphere to Thermal and Orographic Forcing, J. Atmos. Sci., 38, 1179–1196, https://doi.org/10.1175/1520-0469(1981)038<1179:TSLROA>2.0.CO;2, 1981. a
Hoskins, B. J. and Valdes, P. J.: On the existence of storm-tracks, J. Atmos.
Sci., 47, 1854–1864, https://doi.org/10.1175/1520-0469(1990)047<1854:OTEOST>2.0.CO;2, 1990. a
Hu, J., Li, T., Xu, H., and Yang, S.: Lessened response of boreal winter
stratospheric polar vortex to El Niño in recent decades, Clim. Dynam., 49, 263–278, https://doi.org/10.1007/s00382-016-3340-z, 2017. a
Huang, B., Banzon, V. F., Freeman, E., Lawrimore, J., Liu, W., Peterson, T. C., Smith, T. M., Thorne, P. W., Woodruff, S. D., and Zhang, H. M.: Extended
reconstructed sea surface temperature version 4 (ERSST.v4). Part I: Upgrades
and intercomparisons, J. Climate, 28, 911–930, https://doi.org/10.1175/JCLI-D-14-00006.1, 2015. 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, b, c, d
Iza, M. and Calvo, N.: Role of Stratospheric Sudden Warmings on the response
to Central Pacific El Niño, Geophys. Res. Lett., 42, 2482–2489,
https://doi.org/10.1002/2014GL062935, 2015. 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
Johnson, N. C. and Kosaka, Y.: The impact of eastern equatorial Pacific
convection on the diversity of boreal winter El Niño teleconnection patterns, Clim. Dynam., 47, 3737–3765, https://doi.org/10.1007/s00382-016-3039-1, 2016. a
Jucker, M. and Gerber, E. P.: Untangling the annual cycle of the tropical
tropopause layer with an idealized moist model, J. Climate, 30, 7339–7358,
https://doi.org/10.1175/JCLI-D-17-0127.1, 2017. a
Kidston, J., Scaife, A. A., Hardiman, S. C., Mitchell, D. M., Butchart, N.,
Baldwin, M. P., and Gray, L. J.: Stratospheric influence on tropospheric jet
streams, storm tracks and surface weather, Nat. Geosci., 8, 433–440,
https://doi.org/10.1038/ngeo2424, 2015. a
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onda, H., Onogi, K., Kamahori, H., Kobayashi, C., Endo, H., Miyaoka, K., and Takahashi, K.: The JRA-55 Reanalysis: General Specifications and Basic Characteristics, J.
Meteorol. Soc. Jpn. Ser. II, 93, 5–48, https://doi.org/10.2151/jmsj.2015-001, 2015. a, b
Li, Y. and Lau, N. C.: Impact of ENSO on the atmospheric variability over the
North Atlantic in late Winter-Role of transient eddies, J. Climate, 25, 320–342, https://doi.org/10.1175/JCLI-D-11-00037.1, 2012a. a, b, c, d
Li, Y. and Lau, N. C.: Contributions of downstream eddy development to the
teleconnection between ENSO and the atmospheric circulation over the North
Atlantic, J. Climate, 25, 4993–5010, https://doi.org/10.1175/JCLI-D-11-00377.1, 2012b. a, b
Liu, Z. and Alexander, M.: Atmospheric bridge, oceanic tunnel, and global
climatic teleconnections, Rev. Geophys., 45, RG2005, https://doi.org/10.1029/2005RG000172, 2007. a
Madonna, E., Li, C., and Wettstein, J. J.: Suppressed eddy driving during
southward excursions of the North Atlantic jet on synoptic to seasonal time
scales, Atmos. Sci. Lett., 20, e937, https://doi.org/10.1002/asl.937, 2019. a
Manzini, E.: Atmospheric science: ENSO and the stratosphere, Nat. Geosci., 2,
749–750, https://doi.org/10.1038/ngeo677, 2009. a
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
Mezzina, B., García-Serrano, J., Bladé, I., and Kucharski, F.: Dynamics of the ENSO Teleconnection and NAO Variability in the North
Atlantic–European Late Winter, J. Climate, 33, 907–923, https://doi.org/10.1175/JCLI-D-19-0192.1, 2020. a
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated
correlated-k model for the longwave, J. Geophys. Res.-Atmos., 102, 16663–16682, 1997. a
Mo, K. C. and Livezey, R. E.: Tropical-Extratropical Geopotential Height
Teleconnections during the Northern Hemisphere Winter, Mon. Weather Rev.,
114, 2488–2515, https://doi.org/10.1175/1520-0493(1986)114<2488:TEGHTD>2.0.CO;2, 1986. a
Moron, V. and Gouirand, I.: Seasonal modulation of the El Niño–southern
oscillation relationship with sea level pressure anomalies over the North
Atlantic in October–March 1873–1996, Int. J. Climatol., 23, 143–155,
https://doi.org/10.1002/joc.868, 2003. a
Nakamura, M., Kadota, M., Yamane, S., Nakamura, M., Kadota, M., and Yamane, S.: Quasigeostrophic Transient Wave Activity Flux: Updated Climatology and Its Role in Polar Vortex Anomalies, J. Atmos. Sci., 67, 3164–3189,
https://doi.org/10.1175/2010JAS3451.1, 2010. a, b
Nakamura, M., Kadota, M., and Yamane, S.: Corrigendum, J. Atmos. Sci., 68,
1841–1842, https://doi.org/10.1175/JAS-D-11-074.1, 2011. a
Oehrlein, J., Chiodo, G., and Polvani, L. M.: Separating and quantifying the
distinct impacts of El Niño and sudden stratospheric warmings on North
Atlantic and Eurasian wintertime climate, Atmos. Sci. Lett., 20, e923,
https://doi.org/10.1002/asl.923, 2019. a
Orsolini, J. Y., KvamstØ, N. G., Kindem, T. I., Honda, M., and Nakamura, H.: Influence of the Aleutian-Icelandic Low Seesaw and ENSO onto the
Stratosphere in Ensemble Winter Hindcasts, J. Meteorol. Soc. Jpn., 86, 817–825, https://doi.org/10.2151/jmsj.86.817, 2008. a
Philander, S. G.: Chapter 1 – The Southern Oscillation: Variability of the
Tropical Atmosphere, in: El Niño, La Niña, and the Southern Oscillation, The Southern Oscillation: Variability of the Tropical Atmosphere, International Geophysics, 46, 9–57, https://doi.org/10.1016/S0074-6142(08)60172-2, 1990. a
Pinto, J. G., Reyers, M., and Ulbrich, U.: The variable link between PNA and
NAO in observations and in multi-century CGCM simulations, Clim. Dynam., 36,
337–354, https://doi.org/10.1007/s00382-010-0770-x, 2011. a
Plumb, R. A.: On the Three-Dimensional Propagation of Stationary Waves, J.
Atmos. Sci., 42, 217–229, https://doi.org/10.1175/1520-0469(1985)042<0217:OTTDPO>2.0.CO;2, 1985. a
Plumb, R. A.: Three-Dimensional Propagation of Transient Quasi-Geostrophic
Eddies and Its Relationship with the Eddy Forcing of the Time–Mean Flow,
J. Atmos. Sci., 43, 1657–1678,
https://doi.org/10.1175/1520-0469(1986)043<1657:TDPOTQ>2.0.CO;2, 1986. a, b
Polvani, L. M., Sun, L., Butler, A. H., Richter, J. H., and Deser, C.:
Distinguishing stratospheric sudden warmings from ENSO as key drivers of
wintertime climate variability over the North Atlantic and Eurasia, J. Climate, 30, 1959–1969, https://doi.org/10.1175/JCLI-D-16-0277.1, 2017. a, b, c, d
Rao, J. and Ren, R.: Asymmetry and nonlinearity of the influence of ENSO on
the northern winter stratosphere: 1. Observations, J. Geophys. Res.-Atmos.,
121, 9000–9016, https://doi.org/10.1002/2015JD024520, 2016a. a, b
Rao, J. and Ren, R.: Asymmetry and nonlinearity of the influence of ENSO on the northern winter stratosphere: 2. Model study with WACCM, J. Geophys.
Res.-Atmos., 121, 9017–9032, https://doi.org/10.1002/2015JD024521, 2016b. a, b
Rao, J., Garfinkel, C. I., and Ren, R.: Modulation of the Northern Winter
Stratospheric El Niño–Southern Oscillation Teleconnection by the PDO, J. Climate, 32, 5761–5783, https://doi.org/10.1175/jcli-d-19-0087.1, 2019. a, b
Rodríguez-Fonseca, B., Suárez-Moreno, R., Ayarzagüena, B.,
López-Parages, J., Gómara, I., Villamayor, J., Mohino, E., Losada, T., and Castaño-Tierno, A.: A review of ENSO influence on the North Atlantic. A non-stationary signal, Atmosphere, 7, 1–19, https://doi.org/10.3390/atmos7070087, 2016. a, b
Ropelewski, C. F. and Halpert, M. S.: Global and Regional Scale Precipitation
Patterns Associated with the El Niño/Southern Oscillation, Mon. Weather Rev., 115, 1606–1626,
https://doi.org/10.1175/1520-0493(1987)115<1606:GARSPP>2.0.CO;2, 1987. a
Sardeshmukh, P. D. and Hoskins, B. J.: The Generation of Global Rotational
Flow by Steady Idealized Tropical Divergence, J. Atmos. Sci., 45, 1228–1251, https://doi.org/10.1175/1520-0469(1988)045<1228:TGOGRF>2.0.CO;2, 1988. a
Sassi, F., Kinnison, D., Boville, B. A., Garcia, R. R., and Roble, R.: Effect of El Niño–Southern Oscillation on the dynamical, thermal, and chemical
structure of the middle atmosphere, J. Geophys. Res.-Atmos., 109, D17108, https://doi.org/10.1029/2003JD004434, 2004. a
Schemm, S., Rivière, G., Ciasto, L. M., and Li, C.: Extratropical
cyclogenesis changes in connection with tropospheric ENSO teleconnections to
the North Atlantic: Role of stationary and transient waves, J. Atmos. Sci., 75, 3943–3964, https://doi.org/10.1175/JAS-D-17-0340.1, 2018. a, b, c, d
Seager, R., Naik, N., Ting, M., Cane, M. A., Harnik, N., and Kushnir, Y.:
Adjustment of the atmospheric circulation to tropical pacific sst anomalies:
Variability of transient eddy propagation in the pacific-north america sector, Q. J. Roy. Meteorol. Soc., 136, 277–296, https://doi.org/10.1002/qj.588, 2010. a
Słownik, W.: International meteorological vocabulary, Tech. rep.,
WMO/OMM/IMGW, Geneva, p. 636, 1992. a
Sun, J. and Tan, B.: Mechanism of the wintertime Aleutian Low-Icelandic Low
seesaw, Geophys. Res. Lett., 40, 4103–4108, https://doi.org/10.1002/grl.50770, 2013. a, b
Sung, M. K., Ham, Y. G., Kug, J. S., and An, S. I.: An alterative effect by
the tropical North Atlantic SST in intraseasonally varying El Niño
teleconnection over the North Atlantic, Tellus A, 65, 1–13, https://doi.org/10.3402/tellusa.v65i0.19863, 2013. a, b
Takaya, K. and Nakamura, H.: A formulation of a wave activity flux for
stationary Rossby waves on a zonally varying basic flow, Geophys. Res. Lett.,
24, 2985–2988, https://doi.org/10.1029/97GL03094, 1997. a
Takaya, K. and Nakamura, H.: A Formulation of a Phase-Independent
Wave-Activity Flux for Stationary and Migratory Quasigeostrophic Eddies on a
Zonally Varying Basic Flow, J. Atmos. Sci., 58, 608–627,
https://doi.org/10.1175/1520-0469(2001)058<0608:AFOAPI>2.0.CO;2, 2001. a
Thomson, S. I. and Vallis, G. K.: Atmospheric Response to SST Anomalies. Part I: Background-State Dependence, Teleconnections, and Local Effects in
Winter, J. Atmos. Sci., 75, 4107–4124, https://doi.org/10.1175/JAS-D-17-0297.1, 2018a. a, b, c
Thomson, S. I. and Vallis, G. K.: Atmospheric response to SST anomalies. Part II: Background-state dependence, teleconnections, and local effects in
summer, J. Atmos. Sci., 75, 4125–4138, https://doi.org/10.1175/JAS-D-17-0298.1, 2018b. a, b
Toniazzo, T. and Scaife, A. A.: The influence of ENSO on winter North Atlantic climate, Geophys. Res. Lett., 33, L24704, https://doi.org/10.1029/2006GL027881, 2006. a, b, c, d
Trenberth, K. E., Branstator, G. W., Karoly, D., Kumar, A., Lau, N.-C., and
Ropelewski, C.: Progress during TOGA in understanding and modeling global
teleconnections associated with tropical sea surface temperatures, J. Geophys. Res.-Oceans, 103, 14291–14324, https://doi.org/10.1029/97JC01444, 1998. a
Vallis, G. K.: Atmospheric and Oceanic Fluid Dynamics, Cambridge University
Press, Cambridge, 2013. a
Vallis, G. K., Colyer, G., Geen, R., Gerber, E., Jucker, M., Maher, P.,
Paterson, A., Pietschnig, M., Penn, J., and Thomson, S. I.: Isca, v1.0: A
framework for the global modelling of the atmospheres of Earth and other
planets at varying levels of complexity, Geosci. Model Dev., 11, 843–859,
https://doi.org/10.5194/gmd-11-843-2018, 2018. a, b
Wallace, J. M. and Gutzler, D. S.: Teleconnections in the Geopotential Height
Field during the Northern Hemisphere Winter, Mon. Weather Rev., 109, 784–812, https://doi.org/10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2, 1981. a, b
Weare, B. C.: Tropospheric-stratospheric wave propagation during El Niño–Southern Oscillation, J. Geophys. Res., 115, D18122,
https://doi.org/10.1029/2009JD013647, 2010. a
Weinberger, I., Garfinkel, C. I., White, I. P., and Oman, L. D.: The salience
of nonlinearities in the boreal winter response to ENSO: Arctic stratosphere
and Europe, Clim. Dynam., 53, 4591–4610, https://doi.org/10.1007/s00382-019-04805-1,
2019. a, b, c, d
Woollings, T., Hannachi, A., and Hoskins, B.: Variability of the North Atlantic eddy-driven jet stream, Q. J. Roy. Meteorol. Soc., 136, 856–868,
https://doi.org/10.1002/qj.625, 2010a. a
Woollings, T., Hannachi, A., Hoskins, B., and Turner, A.: A regime view of the North Atlantic oscillation and its response to anthropogenic forcing, J.
Climate, 23, 1291–1307, https://doi.org/10.1175/2009JCLI3087.1, 2010b. a
Xie, F., Zhou, X., Li, J., Sun, C., Feng, J., and Ma, X.: The key role of
background sea surface temperature over the cold tongue in asymmetric responses of the Arctic stratosphere to El Niño–Southern Oscillation, Environ. Res. Lett., 13, 114007, https://doi.org/10.1088/1748-9326/aae79b, 2018. a
Yu, J.-Y., Zou, Y., Kim, S. T., and Lee, T.: The changing impact of El Niño on US winter temperatures, Geophys. Res. Lett., 39, L15702, https://doi.org/10.1029/2012GL052483, 2012. a
Zappa, G., Shaffrey, L. C., and Hodges, K. I.: The ability of CMIP5 models to
simulate North Atlantic extratropical cyclones, J. Climate, 26, 5379–5396,
https://doi.org/10.1175/JCLI-D-12-00501.1, 2013. a
Zhang, T., Perlwitz, J., and Hoerling, M. P.: What is responsible for the
strong observed asymmetry in teleconnections between El Niño and La Niña?, Geophys. Res. Lett., 41, 1019–1025, https://doi.org/10.1002/2013GL058964, 2014. a
Zhang, W., Wang, Z., Stuecker, M. F., Turner, A. G., Jin, F. F., and Geng, X.: Impact of ENSO longitudinal position on teleconnections to the NAO, Clim.
Dynam., 52, 257–274, https://doi.org/10.1007/s00382-018-4135-1, 2019. a
Short summary
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.
Atmospheric predictability over Europe on subseasonal to seasonal timescales remains limited....