Articles | Volume 4, issue 4
https://doi.org/10.5194/wcd-4-1001-2023
© Author(s) 2023. 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-4-1001-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Nov 2023
Research article |
| 21 Nov 2023
| 21 Nov 2023
Intrinsic predictability limits arising from Indian Ocean Madden–Julian oscillation (MJO) heating: effects on tropical and extratropical teleconnections
Center for Ocean-Land-Atmosphere Studies, George Mason University, Fairfax, VA, USA
Daniela I. V. Domeisen
Faculty of Geosciences and Environment, University of Lausanne, Lausanne, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Sarah-Jane Lock
Research Department, European Centre for Medium-Range Forecasts, Reading, UK
Franco Molteni
Research Department, European Centre for Medium-Range Forecasts, Reading, UK
Priyanka Yadav
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
ESSIC, University of Maryland, College Park, College Park, MD, USA
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Chaim I. Garfinkel, Zachary D. Lawrence, Amy H. Butler, Blanca Ayarzaguena, Marta Abalos, David Barriopedro, Natalia Calvo, Alvaro de la Cámara, Andrew Charlton-Perez, Judah Cohen, Ying Dai, Daniela I. V. Domeisen, Etienne Dunn-Sigouin, Irene Erner, Javier García-Serrano, Neil P. Hindley, Peter Hitchcock, Martin Jucker, Alexey Yu. Karpechko, Hera Kim, Gerbrand Koren, Simon H. Lee, Robert W. Lee, Marisol Osman, Froila M. Palmeiro, Jian Rao, Chen Schwartz, Seok-Woo Son, Corwin J. Wright, and Rachel W.-Y. Wu
EGUsphere, https://doi.org/10.5194/egusphere-2026-6070, https://doi.org/10.5194/egusphere-2026-6070, 2026
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
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Weather at the surface is influenced by the stratosphere, where changes can affect conditions weeks later. The Northern and Southern Annular Modes (NAM and SAM) describe large-scale shifts in winds around the poles that influence storms, temperature and rainfall. We show that 22 forecasting models have systematic biases in representing stratosphere–troposphere coupling, limiting prediction skill. Improving these processes could extend useful forecasts of weather extremes.
Edgar Dolores-Tesillos, Praveen K. Pothapakula, Christian Zeman, and Daniela I. V. Domeisen
EGUsphere, https://doi.org/10.5194/egusphere-2026-5758, https://doi.org/10.5194/egusphere-2026-5758, 2026
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
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We tested whether increasing climate-model resolution and changing how convection is represented improve the simulation of heatwaves. Using a hierarchy of global atmosphere-only simulations, we found that finer resolution does not consistently reduce heatwave biases. Heatwave persistence depends on regional interactions among convection, rainfall, land conditions, and large-scale circulation, showing that higher resolution alone is not enough.
Andries-Jan de Vries, Steven B. Feldstein, Georgios Fragkoulidis, Priyanka Yadav, and Daniela I. V. Domeisen
EGUsphere, https://doi.org/10.5194/egusphere-2026-5324, https://doi.org/10.5194/egusphere-2026-5324, 2026
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
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Much of the annual precipitation in the arid Middle East falls on only a few days per year, with relevance to drought and flooding. This study quantifies the separate and joint influence of the Madden-Julian Oscillation and midlatitude Rossby waves on daily precipitation variability in the Middle East during the wet season. We find that the tropical and extratropical forcing mechanisms operate largely independent of another and exert an approximately equal influence on precipitation anomalies.
Andries-Jan de Vries, Steven B. Feldstein, Jake W. Casselman, Georgios Fragkoulidis, Jos Lelieveld, and Daniela I. V. Domeisen
Weather Clim. Dynam., 7, 1479–1505, https://doi.org/10.5194/wcd-7-1479-2026, https://doi.org/10.5194/wcd-7-1479-2026, 2026
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Precipitation in the arid Middle East experiences large yearly variation with direct relevance to drought and flooding. This study quantifies the influence of El Niño-Southern Oscillation on Middle East precipitation variability at local and regional scales during the cool season. Three mechanisms contribute to precipitation anomalies: a meridional shift in the subtropical jet, a barotropic Rossby wave response in the extratropics, and a baroclinic response in the regional tropical circulation.
Liping Wang, Gang Chen, Xiuyuan Ding, Haijun Yang, and Daniela I. V. Domeisen
EGUsphere, https://doi.org/10.5194/egusphere-2026-4150, https://doi.org/10.5194/egusphere-2026-4150, 2026
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We investigate low-frequency Northern Hemisphere stratospheric variability using reanalysis and three multi-century climate model simulations. We identify an intermittent oscillation with a period of about 15 years. This signal is closely connected to the surface North Atlantic Oscillation and tends to precede it, whereas its link to North Pacific circulation is weaker. These results help improve our understanding of stratosphere-surface coupling on multi-year to multi-decadal timescales.
Romain Pilon, Andries Jan De Vries, and Daniela I. V. Domeisen
Weather Clim. Dynam., 7, 857–872, https://doi.org/10.5194/wcd-7-857-2026, https://doi.org/10.5194/wcd-7-857-2026, 2026
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South Pacific cloud bands are vital rain sources. Using historical weather data, we investigated how atmospheric waves from the midlatitudes shape these cloud bands. We found that long-lasting cloud bands require sustained high-altitude waves to continuously steer tropical moisture southward. These persistent events occur strictly during the summer. Understanding this dynamic link is essential for improving climate models and predicting how regional rainfall patterns may change in the future.
Rachel Wai-Ying Wu, Dominik Büeler, Maria Pyrina, Jonathan Day, Adel Imamovic, Vincent Humphrey, and Daniela I.V. Domeisen
EGUsphere, https://doi.org/10.5194/egusphere-2026-2465, https://doi.org/10.5194/egusphere-2026-2465, 2026
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Compound heat-drought events threaten health, agriculture, and energy. Using ECMWF sub-seasonal hindcasts, we find that physical coupling increases forecast skill by ~10 % relative to assuming event independence. However, skill drops significantly where land-atmosphere interactions – namely soil moisture feedbacks – are misrepresented. We identify European regions where these forecasts are most reliable and highlight physical biases as the primary barrier to accuracy elsewhere.
Anna Borovikov, Andrea Molod, Young-Kwon Lim, Siegfried Schubert, and Priyanka Yadav
EGUsphere, https://doi.org/10.5194/egusphere-2026-1340, https://doi.org/10.5194/egusphere-2026-1340, 2026
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Short term climate (subseasonal to seasonal) forecasts rely on a collection ("ensemble") of forecasts that are meant to span likely estimates of the evolution of the earth system. We present a strategy for generating ensembles that uses perturbed initial conditions of the atmosphere, ocean, and cryosphere. We show that the perturbations consist of physically realistic atmosphere and ocean modes of variability that are highly relevant for spanning the likely estimates of the future.
Lara C. Mercier, Hilla Afargan-Gerstman, Matthew D. K. Priestley, Jens H. Christensen, and Daniela I. V. Domeisen
EGUsphere, https://doi.org/10.5194/egusphere-2026-1805, https://doi.org/10.5194/egusphere-2026-1805, 2026
Preprint archived
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The study examines how extreme extratropical cyclones in the North Atlantic will change in a warming climate using historical and future projections of CMIP6 models. It shows that while near-surface temperature gradients are weakening, increased moisture is likely to make future storms more intense, suggesting a shift toward moisture-driven dynamics. Our findings provide new insights for improving long-term climate adaptation and risk management for high-impact weather in the midlatitudes.
Mélanie Coleman, Andries-Jan de Vries, Caroline Roberts, and Daniela I. V. Domeisen
EGUsphere, https://doi.org/10.5194/egusphere-2026-1827, https://doi.org/10.5194/egusphere-2026-1827, 2026
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This study compares flood impacts between countries in the European Union (EU) and in the Middle East and North Africa (MENA). We find that floods cause four times more fatalities in the MENA region, while they inflict more economic losses in the EU. By comparing recorded impacts and survey data available in the EU only, we find that the population overestimates flood risk in northern EU countries but underestimates it in southern EU countries relative to other natural hazards.
Pauline Rivoire, Sonia Dupuis, Antoine Guisan, Pascal Vittoz, and Daniela I. V. Domeisen
Nat. Hazards Earth Syst. Sci., 26, 1183–1205, https://doi.org/10.5194/nhess-26-1183-2026, https://doi.org/10.5194/nhess-26-1183-2026, 2026
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Our study investigates the temperature, precipitation, humidity, and soil moisture conditions leading to the browning of the European forests in summer. Using a Random Forest model and satellite measurements of vegetation greenness, we identify key conditions to predict forest damage. We conclude that hot and dry conditions in spring and summer are adverse conditions. The conditions during the preceding year can also have an impact, with the relevant period varying by forest type.
Monika Feldmann, Daniela I. V. Domeisen, and Olivia Martius
Weather Clim. Dynam., 6, 1089–1106, https://doi.org/10.5194/wcd-6-1089-2025, https://doi.org/10.5194/wcd-6-1089-2025, 2025
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Severe thunderstorm outbreaks are a source of major damage across Europe. Using historical data, we analysed the large-scale weather patterns leading to these outbreaks in eight different regions. Three types of regions emerge: those limited by temperature, those limited by saturation, and those overall favourable for thunderstorms, consistent with their associated weather patterns and the general climate. These findings help explain regional differences and provide a basis for future forecast improvements.
Wolfgang Wicker, Emmanuele Russo, and Daniela I. V. Domeisen
Weather Clim. Dynam., 6, 965–979, https://doi.org/10.5194/wcd-6-965-2025, https://doi.org/10.5194/wcd-6-965-2025, 2025
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Heatwaves are becoming more frequent, but the contribution by atmospheric circulation changes is unclear. Experiments with an idealized model that simulates atmospheric dynamcis, but excludes clouds, radiation, and moisture, show how a poleward storm track shift increases the eastward phase speed of Rossby waves and reduces mid-latitude heatwave frequency. A comparison with real data for the Southern Hemisphere is attempted.
Annie Y.-Y. Chang, Shaun Harrigan, Maria-Helena Ramos, Massimiliano Zappa, Christian M. Grams, Daniela I. V. Domeisen, and Konrad Bogner
EGUsphere, https://doi.org/10.5194/egusphere-2025-3411, https://doi.org/10.5194/egusphere-2025-3411, 2025
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This study presents a machine learning-aided hybrid forecasting framework to improve early warnings of low flows in the European Alps. It combines weather regime information, streamflow observations, and model simulations (EFAS). Even using only weather regime data improves predictions over climatology, while integrating different data sources yields the best result, emphasizing the value of integrating diverse data sources.
Lou Brett, Christopher J. White, Daniela I. V. Domeisen, Bart van den Hurk, Philip Ward, and Jakob Zscheischler
Nat. Hazards Earth Syst. Sci., 25, 2591–2611, https://doi.org/10.5194/nhess-25-2591-2025, https://doi.org/10.5194/nhess-25-2591-2025, 2025
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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
Earth Syst. Dynam., 16, 1029–1051, https://doi.org/10.5194/esd-16-1029-2025, https://doi.org/10.5194/esd-16-1029-2025, 2025
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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 Y. Karpechko, Gerbrand Koren, Marta Abalos, Blanca Ayarzagüena, 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
Weather Clim. Dynam., 6, 171–195, https://doi.org/10.5194/wcd-6-171-2025, https://doi.org/10.5194/wcd-6-171-2025, 2025
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Variability in the extratropical stratosphere and troposphere is 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
Atmos. Chem. Phys., 24, 12259–12275, https://doi.org/10.5194/acp-24-12259-2024, https://doi.org/10.5194/acp-24-12259-2024, 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.
Franco Molteni, Fred Kucharski, and Riccardo Farneti
Weather Clim. Dynam., 5, 293–322, https://doi.org/10.5194/wcd-5-293-2024, https://doi.org/10.5194/wcd-5-293-2024, 2024
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We describe some new features of an intermediate-complexity coupled model, including a three-layer thermodynamic ocean model suitable to explore the extratropical response to tropical ocean variability. We present results on the model climatology and show that important features of interdecadal and interannual variability are realistically simulated in a
pacemakercoupled ensemble of 70-year runs, where portions of the tropical Indo-Pacific are constrained to follow the observed variability.
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
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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.
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
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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.
Cited articles
Abid, M.-A., Kucharski, K., Molteni, F., Kang, I.-S., Tompkins, A. M., and Almazroui, M.: Separating the Indian an Pacific Ocean Impacts on the Euro-Atlantic Response to ENSO and Its Transition from Early to Late Winter, J. Climate, 34, 1531–1548, 2021. a
Baldwin, M. P. and Dunkerton, T. J.: Stratospheric harbingers of anomalous weather regimes, Science, 294, 581–584, 2001. a
Balwin, M. P. and Holton, J. R.: Climatology of the Stratospheric Polar Vortex and Planetary Wave Breaking, J. Atmos. Sci., 45, 1123–1142, 1988. a
Branstator, G. and Teng, H.: Tropospheric Waveguide Teleconnections and Their Seasonality, J. Atmos. Sci., 74, 1513–1532, https://doi.org/10.1175/JAS-D-16-0305.1, 2017. a
Buizza, R., Miller, M., and Palmer, T. N.: Stochastic representation of model uncertainties in the ECMWF ensemble prediction system, Q. J. Roy. Meteor. Soc., 125, 2887–2908, https://doi.org/10.1002/qj.49712556006, 1999. a
Camargo, S. J., Wheeler, M. C., and Sobel, A. H.: Diagnosis of the MJO modulation of tropical cyclogenesis using an empirical index, J. Atmos. Sci., 66, 3061–3074, 2009. a
Camargo, S. J., Camp, J., Elsberry, R. L., Gregory, P. A., Klotzbach, P., Schreck, C. J., Sobel, A. H., Ventrice, M. J., Vitart, F., Wang, Z., Wheeler, M. C., Yamaguchi, M., and Zhan, R.: Tropical cyclone prediction on subseasonal time-scales, Trop. Cyclone Res. Rev., 8, 150–165, https://doi.org/10.1016/j.tcrr.2019.10.004, 2019. a
Cassou, C.: Intraseasonal interaction between the Madden-Julian Oscillation and the North Atlantic Oscillation, Nature, 455, 523–527, https://doi.org/10.1038/nature07286, 2008. a, b
Charney, J. G.: Geostrophic Turbulence, J. Atmos. Sci., 28, 1087–1095, 1971. 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. M., 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, 2011. a
Domeisen, D. I., White, C. J., Afargan-Gerstman, H., Muñoz, Á. G., Janiga, M. A., Vitart, F., Wulff, C. O., Antoine, S., Ardilouze, C., Batté, L., Bloomfield, H. C., Brayshaw, D. J., Camargo, S. J., Charlton-Pérez, A., Collins, D., Cowan, T., del Mar Chaves, M., Ferranti, L., Gómez, R., Gonzalez, P. L. M., and Romero, C. G.: Advances in the subseasonal prediction of extreme events: Relevant case studies across the globe, B. Am. Meteorol. Soc., 103, E1473–E1501, https://doi.org/10.1175/BAMS-D-20-0221.1, 2022. 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, 2015. a
Domeisen, D. I. V., Garfinkel, C. I., and Butler, A. H.: The Teleconnection of El Niõ Southern Oscillation to the Stratosphere, Rev. Geophys., 57, 5–47, 2019. a
Domeisen, D. I. V., Butler, A. H., Charlton-Perez, A. J., Ayarzaguena, 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, 2020a. a
Domeisen, D. I. V., Grams, C. M., and Papritz, L.: The role of North Atlantic–European weather regimes in the surface impact of sudden stratospheric warming events, Weather Clim. Dynam., 1, 373–388, https://doi.org/10.5194/wcd-1-373-2020, 2020b. a
ECMWF: IFS Documentation CY43R3, chap. Part V: Ensemble Prediction System, ECMWF, https://doi.org/10.21957/vk7qosxn5, 2017a. a
ECMWF: IFS Documentation CY43R3, chap. Part VII: ECWMF wave model, ECMWF, https://doi.org/10.21957/mxz9z1gb, 2017b. a
ECMWF Research Department: Extended-range ensemble reforecasts for 1 Nov starts 1981–2016, ECMWF [data set], https://doi.org/10.21957/ms6x-gk09, 2023a. a
ECMWF Research Department: Extended-range ensemble reforecasts for 1 Jan starts 1981–2016, ECMWF [data set], https://doi.org/10.21957/qtqh-5r32, 2023b. a
ECMWF Research Department: Extended-range ensemble reforecasts for 1 Nov starts 1981–2016 that include MJO in phases 2 or 3, ECMWF [data set], https://doi.org/10.21957/tzgp-tv45, 2023c. a
ECMWF Research Department: Extended-range ensemble reforecasts for 1 Nov starts 1981–2016 that include MJO in phases 2 or 3, ECMWF [data set], https://doi.org/10.21957/cf3y-0343, 2023d. a
ECMWF Research Department: Extended-range ensemble reforecasts for 1 Jan starts 1981–2016 that include MJO in phases 2 or 3, ECMWF [data set], https://doi.org/10.21957/ndqr-vs12, 2023e. a
ECMWF Research Department: Extended-range ensemble reforecasts for 1 Nov starts 1981–2016 that include MJO in phases 2 or 3, ECMWF [data set], https://doi.org/10.21957/kt7k-1r77, 2023f. a
Ferranti, L., Palmer, T. N., Molteni, F., and Klinker, E.: Tropical-Extratropical Interaction Associated with the 30–60 Day Oscillation and Its Impact on Medium and Extended Range Prediction, J. Atmos. Sci., 47, 2177–2199, https://doi.org/10.1175/1520-0469(1990)047<2177:TEIAWT>2.0.CO;2, 1990. a
Garfinkel, C. I. and Schwartz, C.: MJO-Related Tropical Convection Anomalies Lead to More Accurate Stratospheric Vortex Variability in Subseasonal Forecast Models, Geophys. Res. Lett., 44, 10054–10062, https://doi.org/10.1002/2017GL074470, 2017. a, b
Goosse, H. and Fichefet, T.: Importance of ice-ocean interactions for the global ocean circulation: A model study, J. Geophys. Res.-Oceans, 104, 23337–23355, https://doi.org/10.1029/1999JC900215, 1999. a
Hall, J. D., Matthews, A. J., and Karoli, D. J.: The modulation of tropical cyclone activity in the Australian region by the Madden-Julian Oscillation, Mon. Weather Rev., 129, 2970–2982, 2001. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Manuel. F., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 199 – 2049, https://doi.org/10.1002/qj.3803, 2020. a
Jones, C., Waliser, D. E., Lau, K. M., and Stern, W.: Global Occurrences of Extreme Precipitation and the Madden–Julian Oscillation: Observations and Predictability, J. Climate, 17, 4575–4589, https://doi.org/10.1175/3238.1, 2004. a
Kang, W. and Tziperman, E.: The MJO-SSW Teleconnection: Interaction Between MJO-Forced Waves and the Midlatitude Jet, Geophys. Res. Lett., 45, 4400–4409, https://doi.org/10.1029/2018GL077937, 2018. a
Lee, C.-Y., Camargo, S. J., Vitart, F., Sobel, A. H., and Tippett, M. K.: Subseasonal Tropical Cyclone Genesis Prediction and MJO in the S2S Dataset, Weather Forecast., 33, 967–988, https://doi.org/10.1175/WAF-D-17-0165.1, 2018. a
Lee, R. W., Woolnough, S. J., Charlton-Perez, A. J., and Vitart, F.: ENSO Modulation of MJO Teleconnections to the North Atlantic and Europe, Geophys. Res. Lett., 46, 13535–13545, https://doi.org/10.1029/2019GL084683, 2019. a
Lee, Y.-Y. and Lim, G.-H.: Dependency of the North Pacific winter storm tracks on the zonal distribution of MJO convection, J. Geophys. Res., 117, D14101, https://doi.org/10.1029/2011JD016417, 2012. a
Leroy, A. and Wheeler, M. C.: Statistical prediction of weekly tropical cyclone activity in the southern hemisphere, Mon. Weather Rev., 136, 3637–3654, 2008. a
Leutbecher, M., Lock, S.-J., Ollinaho, P., Lang, S. T. K., Balsamo, G., Bechtold, P., Bonavita, M., Christensen, H. M., Diamantakis, M., Dutra, E., English, S., Fisher, M., Forbes, R. M., Goddard, J., Haiden, T., Hogan, R. J., Juricke, S., Lawrence, H., MacLeod, D., Magnusson, L., Malardel, S., Massart, S., Sandu, I., Smolarkiewicz, P. K., Subramanian, A., Vitart, F., Wedi, N., and Weisheimer, A.: Stochastic representations of model uncertainties at ECMWF: state of the art and future vision, Q. J. Roy. Meteor. Soc., 143, 2315–2339, https://doi.org/10.1002/qj.3094, 2017. a, b, c
Li, Z., Peng, J., and Zhang, L.: Spectral budget of Rotational and Divergent Kinetic Energy in Global Analyses, J. Atmos. Sci., 80, 813–831, 2023. a
Lin, H. and Brunet, G.: The influence of the Madden–Julian oscillation on Canadian wintertime surface air temperature, Mon. Weather Rev., 137, 2250–2262, 2009. a
Lin, H., Brunet, G., and Derome, J.: An Observed Connection between the North Atlantic Oscillation and the Madden-Julian Oscillation, J. Climate, 22, 364–380, https://doi.org/10.1175/2008JCLI2515.1, 2009. a, b
Lin, H., Brunet, G., and Fontecilla, J. S.: Impact of the Madden-Julian Oscillation on the intraseasonal forecast skill of the North Atlantic Oscillation, Geophys. Res. Lett., 37, L19803, https://doi.org/10.1029/2010GL044315, 2010. a
Madden, R. A. and Julian, P. R.: Detection of a 40–50 day oscillation in the zonal wind in the tropical Pacific, J. Atmos. Sci., 28, 702–708, 1971. a
Madden, R. A. and Julian, P. R.: Description of global-scale circulation cells in the tropics with a 40–50 day period, J. Atmos. Sci., 29, 1109–1123, 1972. a
Madec, G. and the NEMO team: NEMO ocean engine, Notes du Pôle de modẽlisation de l'Institut Pierre-Simon Laplace (IPSL), 915–934, https://doi.org/10.5281/zenodo.1475234, 2013. a
Maloney, E. D. and Hartmann, D. L.: Modulation of hurricane activity in the Gulf of Mexico by the Madden-Julian oscillation, Science, 287, 2002–2004, 2000. a
Matthews, A. J., Hoskins, B. J., and Masutani, M.: The global response to tropical heating in the Madden-Julian oscillation during the northern winter, Q. J. Roy. Meteor. Soc., 130, 1991–2011, https://doi.org/10.1256/qj.02.123, 2004. a, b
Merryfield, W. J., Baehr, J., Batté, L., Becker, E. J., Butler, A. H., Coelho, C. A. S., Danabasoglu, G., Dirmeyer, P. A., Doblas-Reyes, F. J., Domeisen, D. I. V., Ferranti, L., Ilynia, T., Kumar, A., Müller, W. A., Rixen, M., Robertson, A. W., Smith, D. M., Takaya, Y., Tuma, M., Vitart, F., White, C. J., Alvarez, M. S., Ardilouze, C., Attard, H., Baggett, C., Balmaseda, M. A., Beraki, A. F., Bhattacharjee, P. S., Bilbao, R., de Andrade, F. M., DeFlorio, M. J., Díaz, L. B., Ehsan, M. A., Fragkoulidis, G., Grainger, S., Green, B. W., Hell, M. C., Infanti, J. M., Isensee, K., Kataoka, T., Kirtman, B. P., Klingaman, N. P., Lee, J.-Y., Mayer, K., McKay, R., Mecking, J. V., Miller, D. E., Neddermann, N., Justin Ng, C. H., Osso, A., Pankatz, K., Peatman, S., Pegion, K., Perlwitz, J., Recalde-Coronel, G. C., Reintges, A., Renkl, C., Solaraju-Murali, B., Spring, A., Stan, C., Sun, Y. Q., Tozer, C. R., Vigaud, N., Woolnough, S., and Yeager, S.: Current and Emerging Developments in Subseasonal to Decadal Prediction, B. Am. Meteorol. Soc., 101, E869–E896, 2020. a
Muñoz, Á. G., Goddard, L., Mason, S. J., and Robertson, A. W.: Cross–time scale interactions and rainfall extreme events in southeastern South America for the austral summer. Part II: Predictive skill, J. Climate, 29, 5915–5934, 2016. a
Quinting, J., Grams, C. M., Chang, E. K.-M., Pfahl, S., and Wernli, H.: Warm conveyor belt activity over the Pacific: Modulation by the Madden-Julian Oscillation and impact on tropical-extratropical teleconnections, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-783, 2023. a
Rodney, M., Lin, H., and Derome, J.: Subseasonal Prediction of Wintertime North American Surface Air Temperature during Strong MJO Events, Mon. Weather Rev., 141, 2897–2909, 2013. a
Schwartz, C. and Garfinkel, C. I.: Troposphere-Stratosphere Coupling in Subseasonal-to-Seasonal Models and its Importance for a Realistic Extratropical Response to the Madden-Julian Oscillation, J. Geophys. Res.-Atmos., 125, e2019JD032043, https://doi.org/10.1029/2019JD032043, 2020. a, b, c, d
Schwartz, C., Garfinkel, C. I., Yadav, P., Chen, W., and Domeisen, D. I. V.: Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models, Weather Clim. Dynam., 3, 679–692, https://doi.org/10.5194/wcd-3-679-2022, 2022. a
Selz, T.: Estimating the Intrinsic Limit of Predictability Using a Stochastic Convection Scheme, J. Atmos. Sci., 76, 757–765, 2019. a
Stan, C., Straus, D. M., Frederiksen, J. S., Lin, H., Maloney, E. D., and Schumacher, C.: Review of tropical-extratropical teleconnections on intraseasonal time scales, Rev. Geophys., 55, 902–937, 2017. a
Stan, C., Zheng, C., Chang, E. K.-M., Domeisen, D. I., Garfinkel, C. I., Jenney, A. M., Kim, H., Lim, Y.-K., Lin, H., Robertson, A., Schwartz, C., Vitart, F., Wang, J., and Yadav, P.: Advances in the prediction of MJO-Teleconnections in the S2S forecast systems, B. Am. Meteorol. Soc., 103, E1426–E1447, https://doi.org/10.1175/BAMS-D-21-0130.1, 2022. a, b, c, d
Straus, D. M.: On the role of the seasonal cycle, J. Atmos. Sci., 40, 303–313, 1983. a
Straus, D. M., Swenson, E., and Lappen, C.-L.: The MJO Cycle Forcing of the North Atlantic Circulation: Intervention Experiments with the Community Earth System Model, J. Atmos. Sci., 72, 660–681, https://doi.org/10.1175/JAS-D-14-0145.1, 2015. a
Sun, Y. Q., Rotunno, R., and Zhang., F.: Contributions of Moist Convection and Internal Gravity Waves to Building the Atmospheric
Swenson, E. T. and Straus, D. M.: A modelling framework for a better understanding of the tropically-forced component of the Indian monsoon variability, J. Earth Syst. Sci., 130, 7, https://doi.org/10.1007/s12040-020-01503-z, 2021. a
Valadão, C. E., Carvalho, L. M., Lucio, P. S., and Chaves, R. R.: Impacts of the Madden-Julian oscillation on intraseasonal precipitation over Northeast Brazil, Int. J. Climatol., 37, 1859–1884, 2017. a
Vitart, F.: Evolution of ECMWF sub-seasonal forecast skill scores, Q. J. Roy. Meteor. Soc., 140, 1889–1899, https://doi.org/10.1002/qj.2256, 2014. a
Vitart, F.: Madden-Julian Oscillation prediction and teleconnections in the S2S database, Q. J. Roy. Meteor. Soc., 143, 2210–2220, 2017. a
Vitart, F., Ardilouze, C., Bonet, A., Brookshaw, A., Chen, M., Codorean, C., Déqué, M., Ferranti, L., Fucile, E., Fuentes, M., Hendon, H., Hodgson, J., Kang, H.-S., Kumar, A., Lin, H., Liu, G., Liu, X., Malguzzi, P., Mallas, I., Manoussakis, M., Mastrangelo, D., MacLachlan, C., McLean, P., Minami, A., Mladek, R., Nakazawa, T., Najm, S, Nie, Y., Rixen, M., Robertson, A. W., Ruti, P., Sun, S., Takaya, Y., Tolstykh, M., Venuti, F., Waliser, D., Woolnough, S., Wu, T., Won, D.-J., Xiao, H., Zaripov, R., and Zhang, L.: The subseasonal to seasonal (S2S) prediction project database, B. Am. Meteorol. Soc., 98, 163–173, 2017. a, b, c
Wang, J., Kim, H., Kim, D., Henderson, S. A., Stan, C., and Maloney, E. D.: MJO teleconnections over the PNA region in climate models. Part II: Impacts of the MJO and basic state, J. Climate, 33, 5081–5101, 2020. a
Wang, J., DeFlorio, M. J., Guan, B., and Castellano, C. M.: Seasonality of MJO Impacts on Precipitation Extrems over the Western United States, J. Hydrometeorol., 24, 151–166, 2023. a
Yadav, P. and Straus, D. M.: Circulation Response to Fast and Slow MJO Episodes, Mon. Weather Rev., 145, 1577–1596, https://doi.org/10.1175/MWR-D-16-0352.1, 2017. a
Zagar, N., Jelic, D., Blaauw, M., and Bechtold, P.: Energy Spectra and Intertia-Gravity Waves in Global Analyses, J. Atmos. Sci., 74, 2447–2466, 2017. a
Zhao, Y.-B., Žagar, N., Lunkeit, F., and Blender, R.: Atmospheric bias teleconnections associated with systematic SST errors in the tropical Indian Ocean, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-917, 2023. a
Short summary
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.
The global response to the Madden–Julian oscillation (MJO) is potentially predictable. Yet the...
