Articles | Volume 6, issue 1
https://doi.org/10.5194/wcd-6-279-2025
© Author(s) 2025. 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-6-279-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A climatological characterization of North Atlantic winter jet streaks and their extremes
Mona Bukenberger
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Lena Fasnacht
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Stefan Rüdisühli
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Sebastian Schemm
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Related authors
Georg Feulner, Mona Bukenberger, and Stefan Petri
Earth Syst. Dynam., 14, 533–547, https://doi.org/10.5194/esd-14-533-2023, https://doi.org/10.5194/esd-14-533-2023, 2023
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One limit of planetary habitability is defined by the threshold of global glaciation. If Earth cools, growing ice cover makes it brighter, leading to further cooling, since more sunlight is reflected, eventually leading to global ice cover (Snowball Earth). We study how much carbon dioxide is needed to prevent global glaciation in Earth's history given the slow increase in the Sun's brightness. We find an unexpected change in the characteristics of climate states close to the Snowball limit.
Victoria M. Bauer, Sebastian Schemm, Raphael Portmann, Jingzhi Zhang, Gesa K. Eirund, Steven J. De Hertog, and Jan Zibell
Earth Syst. Dynam., 16, 379–409, https://doi.org/10.5194/esd-16-379-2025, https://doi.org/10.5194/esd-16-379-2025, 2025
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Past research has shown that the North Atlantic Ocean circulation reacts strongly to global forest cover changes. Using Earth system model simulations featuring idealised forestation and deforestation of North America, this study shows that the North Atlantic Ocean is highly sensitive to upstream land cover changes. Anomalies in air temperature over land propagate downstream and modify ocean-to-atmosphere heat fluxes over the North Atlantic through altering the cold-air outbreak frequency.
Hugo Banderier, Christian Zeman, David Leutwyler, Stefan Rüdisühli, and Christoph Schär
Geosci. Model Dev., 17, 5573–5586, https://doi.org/10.5194/gmd-17-5573-2024, https://doi.org/10.5194/gmd-17-5573-2024, 2024
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We investigate the effects of reduced-precision arithmetic in a state-of-the-art regional climate model by studying the results of 10-year-long simulations. After this time, the results of the reduced precision and the standard implementation are hardly different. This should encourage the use of reduced precision in climate models to exploit the speedup and memory savings it brings. The methodology used in this work can help researchers verify reduced-precision implementations of their model.
Bjorn Stevens, Stefan Adami, Tariq Ali, Hartwig Anzt, Zafer Aslan, Sabine Attinger, Jaana Bäck, Johanna Baehr, Peter Bauer, Natacha Bernier, Bob Bishop, Hendryk Bockelmann, Sandrine Bony, Guy Brasseur, David N. Bresch, Sean Breyer, Gilbert Brunet, Pier Luigi Buttigieg, Junji Cao, Christelle Castet, Yafang Cheng, Ayantika Dey Choudhury, Deborah Coen, Susanne Crewell, Atish Dabholkar, Qing Dai, Francisco Doblas-Reyes, Dale Durran, Ayoub El Gaidi, Charlie Ewen, Eleftheria Exarchou, Veronika Eyring, Florencia Falkinhoff, David Farrell, Piers M. Forster, Ariane Frassoni, Claudia Frauen, Oliver Fuhrer, Shahzad Gani, Edwin Gerber, Debra Goldfarb, Jens Grieger, Nicolas Gruber, Wilco Hazeleger, Rolf Herken, Chris Hewitt, Torsten Hoefler, Huang-Hsiung Hsu, Daniela Jacob, Alexandra Jahn, Christian Jakob, Thomas Jung, Christopher Kadow, In-Sik Kang, Sarah Kang, Karthik Kashinath, Katharina Kleinen-von Königslöw, Daniel Klocke, Uta Kloenne, Milan Klöwer, Chihiro Kodama, Stefan Kollet, Tobias Kölling, Jenni Kontkanen, Steve Kopp, Michal Koran, Markku Kulmala, Hanna Lappalainen, Fakhria Latifi, Bryan Lawrence, June Yi Lee, Quentin Lejeun, Christian Lessig, Chao Li, Thomas Lippert, Jürg Luterbacher, Pekka Manninen, Jochem Marotzke, Satoshi Matsouoka, Charlotte Merchant, Peter Messmer, Gero Michel, Kristel Michielsen, Tomoki Miyakawa, Jens Müller, Ramsha Munir, Sandeep Narayanasetti, Ousmane Ndiaye, Carlos Nobre, Achim Oberg, Riko Oki, Tuba Özkan-Haller, Tim Palmer, Stan Posey, Andreas Prein, Odessa Primus, Mike Pritchard, Julie Pullen, Dian Putrasahan, Johannes Quaas, Krishnan Raghavan, Venkatachalam Ramaswamy, Markus Rapp, Florian Rauser, Markus Reichstein, Aromar Revi, Sonakshi Saluja, Masaki Satoh, Vera Schemann, Sebastian Schemm, Christina Schnadt Poberaj, Thomas Schulthess, Cath Senior, Jagadish Shukla, Manmeet Singh, Julia Slingo, Adam Sobel, Silvina Solman, Jenna Spitzer, Philip Stier, Thomas Stocker, Sarah Strock, Hang Su, Petteri Taalas, John Taylor, Susann Tegtmeier, Georg Teutsch, Adrian Tompkins, Uwe Ulbrich, Pier-Luigi Vidale, Chien-Ming Wu, Hao Xu, Najibullah Zaki, Laure Zanna, Tianjun Zhou, and Florian Ziemen
Earth Syst. Sci. Data, 16, 2113–2122, https://doi.org/10.5194/essd-16-2113-2024, https://doi.org/10.5194/essd-16-2113-2024, 2024
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To manage Earth in the Anthropocene, new tools, new institutions, and new forms of international cooperation will be required. Earth Virtualization Engines is proposed as an international federation of centers of excellence to empower all people to respond to the immense and urgent challenges posed by climate change.
Steven J. De Hertog, Carmen E. Lopez-Fabara, Ruud van der Ent, Jessica Keune, Diego G. Miralles, Raphael Portmann, Sebastian Schemm, Felix Havermann, Suqi Guo, Fei Luo, Iris Manola, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
Earth Syst. Dynam., 15, 265–291, https://doi.org/10.5194/esd-15-265-2024, https://doi.org/10.5194/esd-15-265-2024, 2024
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Changes in land use are crucial to achieve lower global warming. However, despite their importance, the effects of these changes on moisture fluxes are poorly understood. We analyse land cover and management scenarios in three climate models involving cropland expansion, afforestation, and irrigation. Results show largely consistent influences on moisture fluxes, with cropland expansion causing a drying and reduced local moisture recycling, while afforestation and irrigation show the opposite.
Sebastian Schemm and Matthias Röthlisberger
Weather Clim. Dynam., 5, 43–63, https://doi.org/10.5194/wcd-5-43-2024, https://doi.org/10.5194/wcd-5-43-2024, 2024
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Climate change has started to weaken atmospheric circulation during summer in the Northern Hemisphere. However, there is low agreement on the processes underlying changes in, for example, the stationarity of weather patterns or the seasonality of the jet response to warming. This study examines changes during summertime in an idealised setting and confirms some important changes in hemisphere-wide wave and jet characteristics under warming.
Steven J. De Hertog, Carmen E. Lopez-Fabara, Ruud van der Ent, Jessica Keune, Diego G. Miralles, Raphael Portmann, Sebastian Schemm, Felix Havermann, Suqi Guo, Fei Luo, Iris Manola, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
EGUsphere, https://doi.org/10.5194/egusphere-2023-953, https://doi.org/10.5194/egusphere-2023-953, 2023
Preprint archived
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Land cover and management changes can affect the climate and water availability. In this study we use climate model simulations of extreme global land cover changes (afforestation, deforestation) and land management changes (irrigation) to understand the effects on the global water cycle and local to continental water availability. We show that cropland expansion generally leads to higher evaporation and lower amounts of precipitation and afforestation and irrigation expansion to the opposite.
Georg Feulner, Mona Bukenberger, and Stefan Petri
Earth Syst. Dynam., 14, 533–547, https://doi.org/10.5194/esd-14-533-2023, https://doi.org/10.5194/esd-14-533-2023, 2023
Short summary
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One limit of planetary habitability is defined by the threshold of global glaciation. If Earth cools, growing ice cover makes it brighter, leading to further cooling, since more sunlight is reflected, eventually leading to global ice cover (Snowball Earth). We study how much carbon dioxide is needed to prevent global glaciation in Earth's history given the slow increase in the Sun's brightness. We find an unexpected change in the characteristics of climate states close to the Snowball limit.
Sebastian Schemm, Lukas Papritz, and Gwendal Rivière
Weather Clim. Dynam., 3, 601–623, https://doi.org/10.5194/wcd-3-601-2022, https://doi.org/10.5194/wcd-3-601-2022, 2022
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Much of the change in our daily weather patterns is due to the development and intensification of extratropical cyclones. The response of these systems to climate change is an important topic of ongoing research. This study is the first to reproduce the changes in the North Atlantic circulation and extratropical cyclone characteristics found in fully coupled Earth system models under high-CO2 scenarios, but in an idealized, reduced-complexity simulation with uniform warming.
Philippe Besson, Luise J. Fischer, Sebastian Schemm, and Michael Sprenger
Weather Clim. Dynam., 2, 991–1009, https://doi.org/10.5194/wcd-2-991-2021, https://doi.org/10.5194/wcd-2-991-2021, 2021
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The strongest cyclone intensification is associated with a strong dry-dynamical forcing. Moreover, strong forcing and strong intensification correspond to a tendency for poleward cyclone propagation, which occurs in distinct regions in the Northern Hemisphere. There is a clear spatial pattern in the occurrence of certain forcing combinations. This implies a fundamental relationship between dry-dynamical processes and the intensification as well as the propagation of extratropical cyclones.
Gabriel Vollenweider, Elisa Spreitzer, and Sebastian Schemm
Weather Clim. Dynam. Discuss., https://doi.org/10.5194/wcd-2021-31, https://doi.org/10.5194/wcd-2021-31, 2021
Publication in WCD not foreseen
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The interactions between the dry and moist components of the atmosphere and the influence of, for example, the phase transition of water on the atmospheric circulation are often studied from the potential vorticity (PV) framework. Changes in the PV due to, for example, condensation can relate to changes in the static stability or vorticity. To better the interaction between these two drivers of PV changes, we explore the usefulness of a novel vorticity-and-stability diagram.
Sebastian Schemm, Heini Wernli, and Hanin Binder
Weather Clim. Dynam., 2, 55–69, https://doi.org/10.5194/wcd-2-55-2021, https://doi.org/10.5194/wcd-2-55-2021, 2021
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North Pacific cyclone intensities are reduced in winter, which is in contrast to North Atlantic cyclones and unexpected from the high available growth potential in winter. We investigate this intensity suppression from a cyclone life-cycle perspective and show that in winter Kuroshio cyclones propagate away from the region where they can grow more quickly, East China Sea cyclones are not relevant before spring, and Kamchatka cyclones grow in a region of reduced growth potential.
Stefan Rüdisühli, Michael Sprenger, David Leutwyler, Christoph Schär, and Heini Wernli
Weather Clim. Dynam., 1, 675–699, https://doi.org/10.5194/wcd-1-675-2020, https://doi.org/10.5194/wcd-1-675-2020, 2020
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Most precipitation over Europe is linked to low-pressure systems, cold fronts, warm fronts, or high-pressure systems. Based on a massive computer simulation able to resolve thunderstorms, we quantify in detail how much precipitation these weather systems produced during 2000–2008. We find distinct seasonal and regional differences, such as fronts precipitating a lot in fall and winter over the North Atlantic but high-pressure systems mostly in summer over the continent by way of thunderstorms.
Sebastian Schemm, Stefan Rüdisühli, and Michael Sprenger
Weather Clim. Dynam., 1, 459–479, https://doi.org/10.5194/wcd-1-459-2020, https://doi.org/10.5194/wcd-1-459-2020, 2020
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Troughs and ridges are ubiquitous flow features in the upper troposphere and are centerpiece elements of weather and climate research. A novel method is introduced to identify and track the life cycle of troughs and ridges and their orientation. The aim is to close the existing gap between methods that detect the initiation phase and methods that detect the decaying phase of Rossby wave development. Global climatologies, the influence of ENSO and Lagrangian characteristics are discussed.
Michael Kunz, Jan Wandel, Elody Fluck, Sven Baumstark, Susanna Mohr, and Sebastian Schemm
Nat. Hazards Earth Syst. Sci., 20, 1867–1887, https://doi.org/10.5194/nhess-20-1867-2020, https://doi.org/10.5194/nhess-20-1867-2020, 2020
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Severe convective storms are major loss drivers across Europe. We reconstructed several thousand storm tracks from radar reflectivity over a 10-year period for parts of Europe. The tracks were additionally combined with hail reports, reanalysis data, and front detections based on ERA-Interim (ECMWF Reanalysis). It is found that frontal hailstorms on average produce larger hailstones and have longer tracks and that wind shear is important not only for the hail diameter but also for track length.
Clemens Spensberger and Sebastian Schemm
Weather Clim. Dynam., 1, 175–189, https://doi.org/10.5194/wcd-1-175-2020, https://doi.org/10.5194/wcd-1-175-2020, 2020
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In this paper, we take a second look at the development of an intense storm that made landfall in Norway a few hours into the new year of 1992, focussing on the effect of the Scandinavian mountains on the storm. We find that the cyclone core evolves largely unaffected, although both the warm and the cold fronts decay rapidly while passing over the mountains. This result suggests that the fronts of a cyclone can become detached from their cyclone core as part of the cyclone’s occlusion process.
Related subject area
Links between the atmospheric water cycle and weather systems
Revisiting the moisture budget of the Mediterranean region in the ERA5 reanalysis
Dynamic and thermodynamic contribution to the October 2019 exceptional rainfall in western central Africa
Influence of mid-latitude sea surface temperature fronts on the atmospheric water cycle and storm track activity
Impact of precipitation mass sinks on midlatitude storms in idealized simulations across a wide range of climates
The monthly evolution of precipitation and warm conveyor belts during the central southwest Asia wet season
Exploring hail and lightning diagnostics over the Alpine-Adriatic region in a km-scale climate model
Model-simulated hydroclimate in the East Asian summer monsoon region during past and future climate: a pilot study with a moisture source perspective
Lagrangian formation pathways of moist anomalies in the trade-wind region during the dry season: two case studies from EUREC4A
A numerical study to investigate the roles of former Hurricane Leslie, orography and evaporative cooling in the 2018 Aude heavy-precipitation event
High-resolution stable isotope signature of a land-falling atmospheric river in southern Norway
Atmospheric convergence zones stemming from large-scale mixing
The role of air–sea fluxes for the water vapour isotope signals in the cold and warm sectors of extratropical cyclones over the Southern Ocean
Extreme wet seasons – their definition and relationship with synoptic-scale weather systems
Attribution of precipitation to cyclones and fronts over Europe in a kilometer-scale regional climate simulation
An attempt to explain recent changes in European snowfall extremes
Roshanak Tootoonchi, Simona Bordoni, and Roberta D'Agostino
Weather Clim. Dynam., 6, 245–263, https://doi.org/10.5194/wcd-6-245-2025, https://doi.org/10.5194/wcd-6-245-2025, 2025
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In this study, we explore the role of stationary circulations arising from deviations from the zonal mean in the distinct transition from net evaporation over the ocean to net precipitation over land in the Mediterranean region from ERA5. Stationary eddies reinforce the wetting tendency over land and oppose the drying tendency over the ocean due to transient storms. Our results have important implications for future changes in the region, previously identified as a climate change hot spot.
Kevin Kenfack, Francesco Marra, Zéphirin Yepdo Djomou, Lucie Angennes Djiotang Tchotchou, Alain Tchio Tamoffo, and Derbetini Appolinaire Vondou
Weather Clim. Dynam., 5, 1457–1472, https://doi.org/10.5194/wcd-5-1457-2024, https://doi.org/10.5194/wcd-5-1457-2024, 2024
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The results of this study show that moisture advection induced by horizontal wind anomalies and vertical moisture advection induced by vertical velocity anomalies were crucial mechanisms behind the anomalous October 2019 exceptional rainfall increase over western central Africa. The information we derive can be used to support risk assessment and management in the region and to improve our resilience to ongoing climate change.
Fumiaki Ogawa and Thomas Spengler
Weather Clim. Dynam., 5, 1031–1042, https://doi.org/10.5194/wcd-5-1031-2024, https://doi.org/10.5194/wcd-5-1031-2024, 2024
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The exchange of energy and moisture between the atmosphere and ocean is maximised along strong meridional contrasts in sea surface temperature, such as across the Gulf Stream and Kuroshio. We find that these strong meridional contrasts confine and determine the position of evaporation and precipitation, as well as storm occurrence and intensity. The general intensity of the water cycle and storm activity, however, is determined by the underlying absolute sea surface temperature.
Tristan H. Abbott and Paul A. O'Gorman
Weather Clim. Dynam., 5, 17–41, https://doi.org/10.5194/wcd-5-17-2024, https://doi.org/10.5194/wcd-5-17-2024, 2024
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Atmospheric models often neglect the mass sink from precipitation fallout, but a small number of modeling studies suggest that this mass sink may intensify storms. We provide evidence, using simulations and theory, that precipitation mass sinks have little systematic effect on storm intensity unless exaggerated by an order of magnitude. This result holds even in very warm climates with very heavy rainfall and helps to justify the neglect of precipitation mass sinks in atmospheric models.
Melissa Leah Breeden, Andrew Hoell, John Robert Albers, and Kimberly Slinski
Weather Clim. Dynam., 4, 963–980, https://doi.org/10.5194/wcd-4-963-2023, https://doi.org/10.5194/wcd-4-963-2023, 2023
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We compare the month-to-month evolution of daily precipitation over central southwest Asia (CSWA), a data-sparse, food-insecure area prone to drought and flooding. The seasonality of CSWA precipitation aligns with the seasonality of warm conveyor belts (WCBs), the warm, rapidly ascending airstreams associated with extratropical storms, most common from February–April. El Niño conditions are related to more WCBs and precipitation and La Niña conditions the opposite, except in January.
Ruoyi Cui, Nikolina Ban, Marie-Estelle Demory, Raffael Aellig, Oliver Fuhrer, Jonas Jucker, Xavier Lapillonne, and Christoph Schär
Weather Clim. Dynam., 4, 905–926, https://doi.org/10.5194/wcd-4-905-2023, https://doi.org/10.5194/wcd-4-905-2023, 2023
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Our study focuses on severe convective storms that occur over the Alpine-Adriatic region. By running simulations for eight real cases and evaluating them against available observations, we found our models did a good job of simulating total precipitation, hail, and lightning. Overall, this research identified important meteorological factors for hail and lightning, and the results indicate that both HAILCAST and LPI diagnostics are promising candidates for future climate research.
Astrid Fremme, Paul J. Hezel, Øyvind Seland, and Harald Sodemann
Weather Clim. Dynam., 4, 449–470, https://doi.org/10.5194/wcd-4-449-2023, https://doi.org/10.5194/wcd-4-449-2023, 2023
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We study the atmospheric moisture transport into eastern China for past, present, and future climate. Hence, we use different climate and weather prediction model data with a moisture source identification method. We find that while the moisture to first order originates mostly from similar regions, smaller changes consistently point to differences in the recycling of precipitation over land between different climates. Some differences are larger between models than between different climates.
Leonie Villiger, Heini Wernli, Maxi Boettcher, Martin Hagen, and Franziska Aemisegger
Weather Clim. Dynam., 3, 59–88, https://doi.org/10.5194/wcd-3-59-2022, https://doi.org/10.5194/wcd-3-59-2022, 2022
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The coupling between the large-scale atmospheric circulation and the clouds in the trade-wind region is complex and not yet fully understood. In this study, the formation pathway of two anomalous cloud layers over Barbados during the field campaign EUREC4A is described. The two case studies highlight the influence of remote weather systems on the local environmental conditions in Barbados.
Marc Mandement and Olivier Caumont
Weather Clim. Dynam., 2, 795–818, https://doi.org/10.5194/wcd-2-795-2021, https://doi.org/10.5194/wcd-2-795-2021, 2021
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On 14–15 October 2018, in the Aude department (France), a heavy-precipitation event produced up to about 300 mm of rain in 11 h. Simulations carried out show that the former Hurricane Leslie, while involved, was not the first supplier of moisture over the entire event. The location of the highest rainfall was primarily driven by the location of a quasi-stationary front and secondarily by the location of precipitation bands downwind of mountains bordering the Mediterranean Sea.
Yongbiao Weng, Aina Johannessen, and Harald Sodemann
Weather Clim. Dynam., 2, 713–737, https://doi.org/10.5194/wcd-2-713-2021, https://doi.org/10.5194/wcd-2-713-2021, 2021
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High-resolution measurements of stable isotopes in near-surface vapour and precipitation show a
W-shaped evolution during a 24 h land-falling atmospheric river event in southern Norway. We distinguish contributions from below-cloud processes, weather system characteristics, and moisture source conditions during different stages of the event. Rayleigh distillation models need to be expanded by additional processes to accurately predict isotopes in surface precipitation from stratiform clouds.
Gabriel M. P. Perez, Pier Luigi Vidale, Nicholas P. Klingaman, and Thomas C. M. Martin
Weather Clim. Dynam., 2, 475–488, https://doi.org/10.5194/wcd-2-475-2021, https://doi.org/10.5194/wcd-2-475-2021, 2021
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Much of the rainfall in tropical regions comes from organised cloud bands called convergence zones (CZs). These bands have hundreds of kilometers. In South America (SA), they cause intense rain for long periods of time. To study these systems, we need to define and identify them with computer code. We propose a definition of CZs based on the the pathways of air, selecting regions where air masses originated in separated regions meet. This method identifies important mechanisms of rain in SA.
Iris Thurnherr, Katharina Hartmuth, Lukas Jansing, Josué Gehring, Maxi Boettcher, Irina Gorodetskaya, Martin Werner, Heini Wernli, and Franziska Aemisegger
Weather Clim. Dynam., 2, 331–357, https://doi.org/10.5194/wcd-2-331-2021, https://doi.org/10.5194/wcd-2-331-2021, 2021
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Extratropical cyclones are important for the transport of moisture from low to high latitudes. In this study, we investigate how the isotopic composition of water vapour is affected by horizontal temperature advection associated with extratropical cyclones using measurements and modelling. It is shown that air–sea moisture fluxes induced by this horizontal temperature advection lead to the strong variability observed in the isotopic composition of water vapour in the marine boundary layer.
Emmanouil Flaounas, Matthias Röthlisberger, Maxi Boettcher, Michael Sprenger, and Heini Wernli
Weather Clim. Dynam., 2, 71–88, https://doi.org/10.5194/wcd-2-71-2021, https://doi.org/10.5194/wcd-2-71-2021, 2021
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In this study we identify the wettest seasons globally and address their meteorological characteristics. We show that in different regions the wettest seasons occur in different times of the year and result from either unusually high frequencies of wet days and/or daily extremes. These high frequencies can be largely attributed to four specific weather systems, especially cyclones. Our analysis uses a thoroughly explained, novel methodology that could also be applied to climate models.
Stefan Rüdisühli, Michael Sprenger, David Leutwyler, Christoph Schär, and Heini Wernli
Weather Clim. Dynam., 1, 675–699, https://doi.org/10.5194/wcd-1-675-2020, https://doi.org/10.5194/wcd-1-675-2020, 2020
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Most precipitation over Europe is linked to low-pressure systems, cold fronts, warm fronts, or high-pressure systems. Based on a massive computer simulation able to resolve thunderstorms, we quantify in detail how much precipitation these weather systems produced during 2000–2008. We find distinct seasonal and regional differences, such as fronts precipitating a lot in fall and winter over the North Atlantic but high-pressure systems mostly in summer over the continent by way of thunderstorms.
Davide Faranda
Weather Clim. Dynam., 1, 445–458, https://doi.org/10.5194/wcd-1-445-2020, https://doi.org/10.5194/wcd-1-445-2020, 2020
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Despite the global temperature rise caused by anthropogenic emissions, we still observe heavy snowfalls that cause casualties, transport disruptions and energy supply problems. The goal of this paper is to investigate recent trends in snowfalls from reanalysis and observational datasets. The analysis shows an evident discrepancy between trends in average and extreme snowfalls. The latter can only be explained by looking at atmospheric circulation.
Cited articles
Ambaum, M. H. P. and Novak, L.: A nonlinear oscillator describing storm track variability, Q. J. Roy. Meteor. Soc., 140, 2680–2684, https://doi.org/10.1002/qj.2352, 2014. a, b, c
Armenakis, C. and Nirupama, N.: Urban impacts of ice storms: Toronto December 2013, Nat. Hazards., 74, 1291–1298, https://doi.org/10.1007/s11069-014-1211-7, 2014. a, b
Attinger, R., Spreitzer, E., Boettcher, M., Wernli, H., and Joos, H.: Systematic assessment of the diabatic processes that modify low-level potential vorticity in extratropical cyclones, Weather Clim. Dynam., 2, 1073–1091, https://doi.org/10.5194/wcd-2-1073-2021, 2021. a
Benedict, J. J., Lee, S., and Feldstein, S. B.: Synoptic view of the North Atlantic oscillation, J. Atmos. Sci., 61, 121–144, https://doi.org/10.1175/1520-0469(2004)061<0121:SVOTNA>2.0.CO;2, 2004. a
Binder, H., Boettcher, M., Joos, H., and Wernli, H.: The Role of Warm Conveyor Belts for the Intensification of Extratropical Cyclones in Northern Hemisphere Winter, J. Atmos. Sci., 73, 3997–4020, https://doi.org/10.1175/JAS-D-15-0302.1, 2016. a
Bluestein, H. B. and Thomas, K. W.: Diagnosis of a Jet Streak in the Vicinity of a Severe Weather Outbreak in the Texas Panhandle, Mon. Weather. Rev., 112, 2499–2520, https://doi.org/10.1175/1520-0493(1984)112<2499:DOAJSI>2.0.CO;2, 1984. a
Boyle, J. S. and Bosart, L. F.: Cyclone–Anticyclone Couplets over North America. Part II: Analysis of a Major Cyclone Event over the Eastern United States, Mon. Weather. Rev., 114, 2432–2465, https://doi.org/10.1175/1520-0493(1986)114<2432:CCONAP>2.0.CO;2, 1986. 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
Brayshaw, D. J., Hoskins, B., and Blackburn, M.: The Basic Ingredients of the North Atlantic Storm Track. Part I: Land–Sea Contrast and Orography, J. Atmos. Sci., 66, 2539–2558, https://doi.org/10.1175/2009JAS3078.1, 2009. a
Bukenberger, M., Fasnacht, L., Rüdisühli, S., and Schemm, S.: Data collection for A climatological characterisation of North Atlantic winter jet streaks and their extremes, ETH Research Collection [data set], https://doi.org/10.3929/ethz-b-000714942, 2025. a
Chang, E. K. M., Lee, S., and Swanson, K. L.: Storm Track Dynamics, J. Climate, 15, 2163–2183, https://doi.org/10.1175/1520-0442(2002)015<02163:STD>2.0.CO;2, 2002. a
Clark, A. J., Schaffer, C. J., Gallus, W. A., and Johnson-O'Mara, K.: Climatology of Storm Reports Relative to Upper-Level Jet Streaks, Weather Forecast., 24, 1032–1051, https://doi.org/10.1175/2009WAF2222216.1, 2009. a, b, c, d
Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J., Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P., Bronnimann, S., Brunet, M., Crouthamel, R. I., Grant, A. N., Groisman, P. Y., Jones, P. D., Kruk, M., Kruger, A. C., Marshall, G. J., Maugeri, M., Mok, H. Y., Nordli, Ø., Ross, T. F., Trigo, R. M., Wang, X. L., Woodruff, S. D., and Worley, S. J.: The Twentieth Century Reanalysis Project, Q. J. Roy. Meteor. Soc., 137, 1–28, https://doi.org/10.1002/qj.776, 2011. a
Cunningham, P. and Keyser, D.: Analytical and numerical modelling of jet streaks: Barotropic dynamics, Q. J. Roy. Meteor. Soc., 126, 3187–3217, https://doi.org/10.1002/qj.49712657010, 2000. a
Cunningham, P. and Keyser, D.: Dynamics of jet streaks in a stratified quasi-geostrophic atmosphere: Steady-state representations, Q. J. Roy. Meteor. Soc., 130, 1579–1609, https://doi.org/10.1256/qj.03.35, 2004. a, b
Davies, H.: Emergence of the mainstream cyclogenesis theories, Meteorol. Z., 6, 261–274, https://doi.org/10.1127/metz/6/1997/261, 1997. a
Davies, H. C. and Didone, M.: Diagnosis and dynamics of forecast error growth, Mon. Weather. Rev., 141, 2483–2501, https://doi.org/10.1175/MWR-D-12-00242.1, 2013. a
Davies, H. C. and Rossa, A. M.: PV Frontogenesis and Upper-Tropospheric Fronts, Mon. Weather. Rev., 126, 1528–1539, https://doi.org/10.1175/1520-0493(1998)126<1528:PFAUTF>2.0.CO;2, 1998. a, b
Davis, C. A. and Emanuel, K. A.: Potential Vorticity Diagnostics of Cyclogenesis, Mon. Weather. Rev., 119, 1929–1953, https://doi.org/10.1175/1520-0493(1991)119<1929:PVDOC>2.0.CO;2, 1991. a
Downton, M. W. and Katz, R. W.: A Test for Inhomogeneous Variance in Time-averaged Temperature Data, J. Climate, 6, 2448–2464, https://doi.org/10.1175/1520-0442(1993)006<2448:ATFIVI>2.0.CO;2, 1993. a
Efron, B.: Bootstrap Methods: Another Look at the Jackknife, Ann. Stat., 7, 1–26, https://doi.org/10.1214/aos/1176344552, 1979. a
Eichelberger, S. J. and Hartmann, D. L.: Zonal Jet Structure and the Leading Mode of Variability, J. Climate, 20, 5149–5163, https://doi.org/10.1175/JCLI4279.1, 2007. a, b
Ertel, H.: Ein Neuer hydrodynamischer Wirbelsatz (A new hydrodynamic vortex theorem), Meteorol. Z., 59, 271–281, 1942. a
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., Silva, A. M. d., Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D., Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M., Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), J, Climate, 30, 5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1, 2017. a, b
Gentleman, R.: Cophenetic Distances for a Hierarchical Clustering, ETH Zurich, https://stat.ethz.ch/R-manual/R-devel/library/stats/html/cophenetic.html (last access: 6 June 2024), 2023. a
Grams, C. M., Wernli, H., Böttcher, M., Čampa, J., Corsmeier, U., Jones, S. C., Keller, J. H., Lenz, C.-J., and Wiegand, L.: The key role of diabatic processes in modifying the upper-tropospheric wave guide: a North Atlantic case-study, Q. J. Roy. Meteor. Soc., 137, 2174–2193, https://doi.org/10.1002/qj.891, 2011. a
Gray, S. L., Dunning, C., Methven, J., Masato, G., and Chagnon, J. M.: Systematic model forecast error in Rossby wave structure, Geophys. Res. Lett., 41, 2979–2987, https://doi.org/10.1002/2014GL059282, 2014. a
Gyakum, J. R.: On the Evolution of the QE II Storm. I: Synoptic Aspects, Mon. Weather. Rev., 111, 1137–1155, https://doi.org/10.1175/1520-0493(1983)111<1137:OTEOTI>2.0.CO;2, 1983. a
Harnik, N., Galanti, E., Martius, O., and Adam, O.: The anomalous merging of the African and North Atlantic jet streams during the Northern Hemisphere winter of 2010, J. Climate, 27, 7319–7334, https://doi.org/10.1175/JCLI-D-13-00531.1, 2014a. a
Harnik, N., Galanti, E., Martius, O., and Adam, O.: The Anomalous Merging of the African and North Atlantic Jet Streams during the Northern Hemisphere Winter of 2010, J. Climate, 27, 7319–7334, https://doi.org/10.1175/JCLI-D-13-00531.1, 2014b. a
Hartmann, D. L.: The Atmospheric General Circulation and Its Variability, J. Meterol. Soc. Jpn., 85B, 123–143, https://doi.org/10.2151/jmsj.85B.123, 2007. a, b, c, d
Hermoso, A. and Schemm, S.: Disentangling Forced Trends in the North Atlantic Jet From Natural Variability Using Deep Learning, J. Geophys. Res.-Atmos., 129, e2023JD040638, https://doi.org/10.1029/2023JD040638, 2024. a
Hermoso, A., Rivière, G., Harvey, B., Methven, J., and Schemm, S.: A Dynamical Interpretation of the Intensification of the Winter North Atlantic Jet Stream in Reanalysis, J. Climate, 37, 5853–5881, https://doi.org/10.1175/JCLI-D-23-0757.1, 2024. 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., Fuentes, M., 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, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on pressure levels from 1940 to present, Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.bd0915c6, 2023. a, b
Hewitson, B. and Crane, R.: Self-Organizing Maps: Applications to synoptic climatology, Clim. Res., 22, 13–26, https://doi.org/10.3354/cr022013, 2002. a, b
Hoskins, B. and Berrisford, P.: A potential vorticity perspective of the storm of 15–16 October 1987, Weather, 43, 122–129, https://doi.org/10.1002/j.1477-8696.1988.tb03890.x, 1988. a
Hoskins, B. J. and James, I. N.: Potential vorticity, Chap. 10, John Wiley & Sons, Ltd, ISBN 9781118526002, 177–187, https://doi.org/10.1002/9781118526002.ch10, 2014. a
Hoskins, B. J., James, I. N., and White, G. H.: The Shape, Propagation and Mean-Flow Interaction of Large-Scale Weather Systems, J. Atmos. Sci., 40, 1595–1612, https://doi.org/10.1175/1520-0469(1983)040<1595:TSPAMF>2.0.CO;2, 1983. a, b
Hoskins, B. J., McIntyre, M. E., and Robertson, A. W.: On the use and significance of isentropic potential vorticity maps, Q. J. Roy. Meteor. Soc., 111, 877–946, https://doi.org/10.1002/qj.49711147002, 1985. a, b
Jain, A. K.: Data clustering: 50 years beyond K-means, Pattern Recogn. Lett., 31, 651–666, https://doi.org/10.1016/j.patrec.2009.09.011, 2010. a
Karnauskas, K. B., Donnelly, J. P., Barkley, H. C., and Martin, J. E.: Coupling between air travel and climate, Nat. Clim. Change, 5, 1068–1073, https://doi.org/10.1038/nclimate2715, 2015. a
Kiviluoto, K.: Topology preservation in self-organizing maps, in: Proceedings of International Conference on Neural Networks (ICNN'96), Washington DC, USA, 3–6 June 1996, vol. 1, 294–299, https://doi.org/10.1109/ICNN.1996.548907, 1996. a, b
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, 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
Koch, P., Wernli, H., and Davies, H. C.: An event-based jet-stream climatology and typology, Int. J. Climatol., 26, 283–301, https://doi.org/10.1002/joc.1255, 2006. a
Kohonen, T.: Self-Organizing Maps, Springer Berlin, Heidelberg, https://doi.org/10.1007/978-3-642-97610-0, 1995. a, b, c, d
Kohonen, T.: Essentials of the self-organizing map, Neural Networks, 37, 52–65, https://doi.org/10.1016/j.neunet.2012.09.018, 2013. a
Lane, T. P., Sharman, R. D., Trier, S. B., Fovell, R. G., and Williams, J. K.: Recent Advances in the Understanding of Near-Cloud Turbulence, B. Am. Meterol. Soc., 93, 499–515, https://doi.org/10.1175/BAMS-D-11-00062.1, 2012. a
Li, C. and Wettstein, J. J.: Thermally driven and eddy-driven jet variability in reanalysis, J. Climate, 25, 1587–1596, https://doi.org/10.1175/JCLI-D-11-00145.1, 2012. a, b, c
Liu, Y. and Weisberg, R. H.: A Review of Self-Organizing Map Applications in Meteorology and Oceanography, in: Self Organizing Maps, Chap. 13, edited by: Mwasiagi, J. I., IntechOpen, Rijeka, https://doi.org/10.5772/13146, 2011. a
Manola, I., Selten, F., de Vries, H., and Hazeleger, W.: “Waveguidability” of idealized jets, J. Geophys. Res.-Atmos., 118, 10432–10440, https://doi.org/10.1002/jgrd.50758, 2013. a
Martínez-Alvarado, O., Madonna, E., Gray, S. L., and Joos, H.: A route to systematic error in forecasts of Rossby waves, Q. J. Roy. Meteor. Soc., 142, 196–210, https://doi.org/10.1002/qj.2645, 2016. a
Martius, O., Schwierz, C., and Davies, H. C.: Tropopause-Level Waveguid, J. Atmos. Sci., 67, 866–879, https://doi.org/10.1175/2009JAS2995.1, 2010. a, b
Mason, S. J. and Mimmack, G. M.: The use of bootstrap confidence intervals for the correlation coefficient in climatology, Theor. Appl. Climatol., 45, 229–233, https://doi.org/10.1007/BF00865512, 1992. a
Messori, G., Harnik, N., Madonna, E., Lachmy, O., and Faranda, D.: A dynamical systems characterization of atmospheric jet regimes, Earth Syst. Dynam., 12, 233–251, https://doi.org/10.5194/esd-12-233-2021, 2021. a
Namias, J. and Clapp, P. F.: Confluence Theory of the High Tropospheric Jet Stream, J. Atmos. Sci., 6, 330–336, https://doi.org/10.1175/1520-0469(1949)006<0330:CTOTHT>2.0.CO;2, 1949. a
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E.: Scikit-learn: Machine Learning in Python, J. Mach. Learn. Res., 12, 2825–2830, 2011. a
Pfahl, S., Schwierz, C., Croci-Maspoli, M., Grams, C. M., and Wernli, H.: Importance of latent heat release in ascending air streams for atmospheric blocking, Nat. Geosci., 8, 610–614, https://doi.org/10.1038/ngeo2487, 2015. a
Polster, C. and Wirth, V.: A New Atmospheric Background State to Diagnose Local Waveguidability, Geophys. Res. Lett., 50, e2023GL106166, https://doi.org/10.1029/2023GL106166, 2023. a, b
Randall, D.: An Introduction to the Global Circulation of the Atmosphere, Princeton University Press, ISBN 9780691148960, 2015. a
Reiter, E. R. and Nania, A.: Jet-Stream Structure and Clear-Air Turbulence (CAT), J. Appl. Meteorol. Clim., 3, 247–260, https://doi.org/10.1175/1520-0450(1964)003<0247:JSSACA>2.0.CO;2, 1964. a
Riehl, H.: Jet stream in upper troposphere and cyclone formation, Eos, Transactions American Geophysical Union, 29, 175–186, https://doi.org/10.1029/TR029i002p00175, 1948. a, b, c
Riehl, H. and Sidney Teweles, J.: A Further Study on the Relation between the Jet Stream and Cyclone Formation, Tellus A, 5, 66–79, https://doi.org/10.3402/tellusa.v5i1.8561, 1953. a, b
Rivière, G.: A Dynamical Interpretation of the Poleward Shift of the Jet Streams in Global Warming Scenarios, J. Atmos. Sci., 68, 1253–1272, https://doi.org/10.1175/2011JAS3641.1, 2011. a
Rose, S. F., Hobbs, P. V., Locatelli, J. D., and Stoelinga, M. T.: A 10-Yr Climatology Relating the Locations of Reported Tornadoes to the Quadrants of Upper-Level Jet Streaks, Weather Forecast., 19, 301–309, https://doi.org/10.1175/1520-0434(2004)019<0301:AYCRTL>2.0.CO;2, 2004. a
Saffin, L., Gray, S. L., Methven, J., and Williams, K. D.: Processes Maintaining Tropopause Sharpness in Numerical Models, J. Geophys. Res.-Atmos., 122, 9611–9627, https://doi.org/10.1002/2017JD026879, 2017. a
Saffin, L., Methven, J., Bland, J., Harvey, B., and Sanchez, C.: Circulation conservation in the outflow of warm conveyor belts and consequences for Rossby wave evolution, Q. J. Roy. Meteor. Soc., 147, 3587–3610, https://doi.org/10.1002/qj.4143, 2021. a
Sanders, F. and Bosart, L. F.: Mesoscale Structure in the Megalopolitan Snowstorm of 11–12 February 1983. Part I: Frontogenetical Forcing and Symmetric Instability, J. Atmos. Sci., 42, 1050–1061, https://doi.org/10.1175/1520-0469(1985)042<1050:MSITMS>2.0.CO;2, 1985. a, b
Schemm, S. and Wernli, H.: The Linkage between the Warm and the Cold Conveyor Belts in an Idealized Extratropical Cyclone, J. Atmos. Sci., 71, 1443–1459, https://doi.org/10.1175/JAS-D-13-0177.1, 2014. a
Schemm, S., Wernli, H., and Papritz, L.: Warm Conveyor Belts in Idealized Moist Baroclinic Wave Simulations, J. Atmos. Sci., 70, 627–652, https://doi.org/10.1175/JAS-D-12-0147.1, 2013. 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
Shaw, T. A. and Miyawaki, O.: Fast upper-level jet stream winds get faster under climate change, Nat. Clim. Change, 14, 61–67, https://doi.org/10.1038/s41558-023-01884-1, 2023. a
Simmons, A. J.: Trends in the tropospheric general circulation from 1979 to 2022, Weather Clim. Dynam., 3, 777–809, https://doi.org/10.5194/wcd-3-777-2022, 2022. a, b
Steinfeld, D., Boettcher, M., Forbes, R., and Pfahl, S.: The sensitivity of atmospheric blocking to upstream latent heating – numerical experiments, Weather Clim. Dynam., 1, 405–426, https://doi.org/10.5194/wcd-1-405-2020, 2020. a
Storer, L. N., Williams, P. D., and Joshi, M. M.: Global Response of Clear-Air Turbulence to Climate Change, Geophys. Res. Lett., 44, 9976–9984, https://doi.org/10.1002/2017GL074618, 2017. a, b
Thorncroft, C. D., Hoskins, B. J., and McIntyre, M. E.: Two paradigms of baroclinic-wave life-cycle behaviour, Q. J. Roy. Meteor. Soc., 119, 17–55, https://doi.org/10.1002/qj.49711950903, 1993. a
Uccellini, L. W. and Johnson, D. R.: The Coupling of Upper and Lower Tropospheric Jet Streaks and Implications for the Development of Severe Convective Storms, Mon. Weather Rev., 107, 682–703, https://doi.org/10.1175/1520-0493(1979)107<0682:TCOUAL>2.0.CO;2, 1979. a, b
Uccellini, L. W., Kocin, P. J., Petersen, R. A., Wash, C. H., and Brill, K. F.: The Presidents' Day Cyclone of 18–19 February 1979: Synoptic Overview and Analysis of the Subtropical Jet Streak Influencing the Pre-Cyclogenetic Period, Mon. Weather. Rev., 112, 31–55, https://doi.org/10.1175/1520-0493(1984)112<0031:TPDCOF>2.0.CO;2, 1984. a, b, c
Vatanen, T., Osmala, M., Raiko, T., Lagusa, K., Sysi-Ahoc, M., Orešič, M., Honkela, T., and Lähdesmäki, H.: Self-organization and missing values in SOM and GTM, Neurocomputing, 147, 60–70, https://doi.org/10.1016/j.neucom.2014.02.061, 2015. a
Velden, C. S. and Mills, G. A.: Diagnosis of Upper-Level Processes Influencing an Unusually Intense Extratropical Cyclone over Southeast Australia, Weather Forecast., 5, 449–482, https://doi.org/10.1175/1520-0434(1990)005<0449:DOULPI>2.0.CO;2, 1990. a, b
Ward, J. H.: Hierarchical Grouping to Optimize an Objective Function, J. Am. Stat. Assoc., 58, 236–244, https://doi.org/10.1080/01621459.1963.10500845, 1963. a
Wernli, H., Dirren, S., Liniger, M. A., and Zillig, M.: Dynamical aspects of the life cycle of the winter storm “Lothar” (24–26 December 1999), Q. J. Roy. Meteor. Soc., 128, 405–429, https://doi.org/10.1256/003590002321042036, 2002. a, b
Wilks, D. S.: Statistical Methods in the Atmospheric Sciences, 4th edn., Elsevier, ISBN 978-0-12-815823-4, https://doi.org/10.1016/B978-0-12-815823-4.09994-6, 2019. a
Williams, P. D.: Transatlantic flight times and climate change, Environ. Res. Lett., 11, 024008, https://doi.org/10.1088/1748-9326/11/2/024008, 2016. a
Williams, P. D.: Increased light, moderate, and severe clear-air turbulence in response to climate change, Adv. Atmos. Sci., 34, 576–586, https://doi.org/10.1007/s00376-017-6268-2, 2017. a
Williams, P. D. and Joshi, M. M.: Intensification of winter transatlantic aviation turbulence in response to climate change, Nat. Clim. Change, 3, 644–648, https://doi.org/10.1038/nclimate1866, 2013. a, b
Winters, A. C.: Kinematic processes contributing to the intensification of anomalously strong North Atlantic jets, Q. J. Roy. Meteor. Soc., 147, 2506–2532, https://doi.org/10.1002/qj.4037, 2021. a, b, c, d
Winters, A. C. and Martin, J. E.: The Role of a Polar/Subtropical Jet Superposition in the May 2010 Nashville Flood, Weather Forecast., 29, 954–974, https://doi.org/10.1175/WAF-D-13-00124.1, 2014. a
Winters, A. C., Keyser, D., Bosart, L. F., and Martin, J. E.: Composite Synoptic-Scale Environments Conducive to North American Polar–Subtropical Jet Superposition Events, Mon. Weather Rev., 148, 1987–2008, https://doi.org/10.1175/MWR-D-19-0353.1, 2020. a, b
Wirth, V.: Waveguidability of idealized midlatitude jets and the limitations of ray tracing theory, Weather Clim. Dynam., 1, 111–125, https://doi.org/10.5194/wcd-1-111-2020, 2020. a
Woollings, T., Hoskins, B., Blackburn, M., and Berrisford, P.: A New Rossby Wave–Breaking Interpretation of the North Atlantic Oscillation, J. Atmos. Sci., 65, 609–626, https://doi.org/10.1175/2007JAS2347.1, 2008. a, b
Short summary
The jet stream is a band of strong westerly winds, within which jet streaks are regions of faster wind speeds that can aid storm development. This study analyses jet streaks over the North Atlantic during winter. Jet streaks are linked to pairs of surface anticyclones and cyclones and are often accompanied by intense precipitation, especially extreme jet streaks. With cloud processes playing an increased role in extreme jet streaks, follow-up studies concerning their role are warranted.
The jet stream is a band of strong westerly winds, within which jet streaks are regions of...