Articles | Volume 7, issue 2
https://doi.org/10.5194/wcd-7-615-2026
© Author(s) 2026. 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-7-615-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Apr 2026
Research article |
| 20 Apr 2026
| 20 Apr 2026
Left- and right-moving supercell dynamics, environments and hazards – today and in future
Monika Feldmann
CORRESPONDING AUTHOR
Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
now at: Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Sandro Beer
Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
Aaron W. Zeeb
Department of Earth and Atmospheric Sciences, Central Michigan University, Mount Pleasant, MI, USA
Killian P. Brennan
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
now at: Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
Lena Wilhelm
Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
Olivia Martius
Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Bern, Switzerland
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Hailstorms are among the most damaging natural hazards in Switzerland, yet drivers of their year-to-year variability remain unclear. Using a 64-year reconstruction of hail days and atmospheric reanalysis, we show that active hail seasons are linked to recurring large-scale circulation patterns and seasonally preconditioned sea and land surface conditions that repeatedly bring warm, moist, unstable environments. Our findings underpin seasonal hail prediction and can support risk preparedness.
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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.
Jannick Fischer, Pieter Groenemeijer, Alois Holzer, Monika Feldmann, Katharina Schröer, Francesco Battaglioli, Lisa Schielicke, Tomáš Púčik, Bogdan Antonescu, Christoph Gatzen, and TIM Partners
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Strong thunderstorms have been studied mainly over flat terrain in the past. However, they are particularly frequent near European mountain ranges, so observations of such storms are needed. This article gives an overview of our existing knowledge on this topic and presents plans for a large European field campaign with the goals to fill the knowledge gaps, validate tools for thunderstorm warnings, and improve numerical weather prediction near mountains.
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Mesocyclones are the rotating updraught of supercell thunderstorms that present a particularly hazardous subset of thunderstorms. A first-time characterisation of the spatiotemporal occurrence of mesocyclones in the Alpine region is presented, using 5 years of Swiss operational radar data. We investigate parallels to hailstorms, particularly the influence of large-scale flow, daily cycles and terrain. Improving understanding of mesocyclones is valuable for risk assessment and warning purposes.
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Hailstorms are among the most damaging natural hazards in Switzerland, yet drivers of their year-to-year variability remain unclear. Using a 64-year reconstruction of hail days and atmospheric reanalysis, we show that active hail seasons are linked to recurring large-scale circulation patterns and seasonally preconditioned sea and land surface conditions that repeatedly bring warm, moist, unstable environments. Our findings underpin seasonal hail prediction and can support risk preparedness.
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Recent literature suggests that persistence of the upper-level jet stream could force weather persistence. Yet most studies use metrics for the persistence of the jet that obscure the evolution of complex jet stream structures. In this study, we define a feature-based method for the characterisation of jet stream persistence. We revisit the hypothesis linking jet stream persistence to persistent weather, and explore the potential mechanisms that maintain the jet in place.
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The Next Generation of Earth Modeling Systems project (nextGEMS) developed two Earth system models that use horizontal grid spacing of 10 km and finer, giving more fidelity to the representation of local phenomena, globally. In its fourth cycle, nextGEMS simulated the Earth System climate over the 2020–2049 period under the SSP3-7.0 scenario. Here, we provide an overview of nextGEMS, insights into the model development, and the realism of multi-decadal, kilometer-scale simulations.
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Hailstorms can cause severe damage to homes, crops, and infrastructure. Using high-resolution climate simulations, we tracked thousands of hailstorms across Europe to study future changes. Large hail will become more frequent, hail-covered areas will expand, and instances of extreme hail combined with heavy rain will double. These shifts could increase risks for communities and businesses, highlighting the need for better preparedness and adaptation.
Killian P. Brennan and Lena Wilhelm
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Jannick Fischer, Pieter Groenemeijer, Alois Holzer, Monika Feldmann, Katharina Schröer, Francesco Battaglioli, Lisa Schielicke, Tomáš Púčik, Bogdan Antonescu, Christoph Gatzen, and TIM Partners
Nat. Hazards Earth Syst. Sci., 25, 2629–2656, https://doi.org/10.5194/nhess-25-2629-2025, https://doi.org/10.5194/nhess-25-2629-2025, 2025
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Strong thunderstorms have been studied mainly over flat terrain in the past. However, they are particularly frequent near European mountain ranges, so observations of such storms are needed. This article gives an overview of our existing knowledge on this topic and presents plans for a large European field campaign with the goals to fill the knowledge gaps, validate tools for thunderstorm warnings, and improve numerical weather prediction near mountains.
Duncan Pappert, Alexandre Tuel, Dim Coumou, Mathieu Vrac, and Olivia Martius
Weather Clim. Dynam., 6, 769–788, https://doi.org/10.5194/wcd-6-769-2025, https://doi.org/10.5194/wcd-6-769-2025, 2025
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Hugo Banderier, Alexandre Tuel, Tim Woollings, and Olivia Martius
Weather Clim. Dynam., 6, 715–739, https://doi.org/10.5194/wcd-6-715-2025, https://doi.org/10.5194/wcd-6-715-2025, 2025
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The jet stream is the main feature of upper-level flow and drives the weather at the surface. It is stronger and better defined in winter and has mostly been studied in that season. However, it is very important for (extreme) weather in summer. In this work, we improve and use two existing and complementary methods to study the jet stream(s) in the Euro-Atlantic sector, with a focus on summer. We find that our methods can verify each other and agree on interesting signals and trends.
Killian P. Brennan, Michael Sprenger, André Walser, Marco Arpagaus, and Heini Wernli
Weather Clim. Dynam., 6, 645–668, https://doi.org/10.5194/wcd-6-645-2025, https://doi.org/10.5194/wcd-6-645-2025, 2025
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We studied severe hailstorms that occurred in Switzerland on 28 June 2021 using a weather prediction model to understand how they evolved. We found that the storms moved toward areas with more storm energy. Hailfall was quickly followed by heavy rain. Just before the storms died out, the air feeding them stopped coming from near the ground. We also observed a delay between different types of precipitation forming in the incoming air.
Lucas Pfister, Lena Wilhelm, Yuri Brugnara, Noemi Imfeld, and Stefan Brönnimann
Weather Clim. Dynam., 6, 571–594, https://doi.org/10.5194/wcd-6-571-2025, https://doi.org/10.5194/wcd-6-571-2025, 2025
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Our work compares different machine learning approaches for creating long-term classifications of daily atmospheric circulation patterns using input data from surface meteorological observations. Our comparison reveals that a feedforward neural network performs best at this task. Using this model, we present a daily reconstruction of a commonly used weather type classification for central Europe that dates back to 1728.
Edgar Dolores-Tesillos, Olivia Martius, and Julian Quinting
Weather Clim. Dynam., 6, 471–487, https://doi.org/10.5194/wcd-6-471-2025, https://doi.org/10.5194/wcd-6-471-2025, 2025
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An accurate representation of synoptic weather systems in climate models is required to estimate their societal and economic impacts under climate warming. Current climate models poorly represent the frequency of atmospheric blocking. Few studies have analysed the role of moist processes as a source of the bias of blocks. Here, we implement ELIAS2.0, a deep-learning tool, to validate the representation of moist processes in CMIP6 models and their link to the Euro-Atlantic blocking biases.
Markus Mosimann, Martina Kauzlaric, Olivia Martius, and Andreas Paul Zischg
Abstr. Int. Cartogr. Assoc., 9, 26, https://doi.org/10.5194/ica-abs-9-26-2025, https://doi.org/10.5194/ica-abs-9-26-2025, 2025
Lena Wilhelm, Cornelia Schwierz, Katharina Schröer, Mateusz Taszarek, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 3869–3894, https://doi.org/10.5194/nhess-24-3869-2024, https://doi.org/10.5194/nhess-24-3869-2024, 2024
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In our study we used statistical models to reconstruct past hail days in Switzerland from 1959–2022. This new time series reveals a significant increase in hail day occurrences over the last 7 decades. We link this trend to increases in moisture and instability variables in the models. This time series can now be used to unravel the complexities of Swiss hail occurrence and to understand what drives its year-to-year variability.
Raphaël Rousseau-Rizzi, Shira Raveh-Rubin, Jennifer L. Catto, Alice Portal, Yonatan Givon, and Olivia Martius
Weather Clim. Dynam., 5, 1079–1101, https://doi.org/10.5194/wcd-5-1079-2024, https://doi.org/10.5194/wcd-5-1079-2024, 2024
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We identify situations when rain and wind, rain and wave, or heat and dust hazards co-occur within Mediterranean cyclones. These hazard combinations are associated with risk to infrastructure, risk of coastal flooding and risk of respiratory issues. The presence of Mediterranean cyclones is associated with increased probability of all three hazard combinations. We identify weather configurations and cyclone structures, particularly those associated with specific co-occurrence combinations.
Alice Portal, Shira Raveh-Rubin, Jennifer L. Catto, Yonatan Givon, and Olivia Martius
Weather Clim. Dynam., 5, 1043–1060, https://doi.org/10.5194/wcd-5-1043-2024, https://doi.org/10.5194/wcd-5-1043-2024, 2024
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Mediterranean cyclones are associated with extended rain, wind, and wave impacts. Although beneficial for regional water resources, their passage may induce extreme weather, which is especially impactful when multiple hazards combine together. Here we show how the passage of Mediterranean cyclones increases the likelihood of rain–wind and wave–wind compounding and how compound–cyclone statistics vary by region and season, depending on the presence of specific airflows around the cyclone.
Jérôme Kopp, Alessandro Hering, Urs Germann, and Olivia Martius
Atmos. Meas. Tech., 17, 4529–4552, https://doi.org/10.5194/amt-17-4529-2024, https://doi.org/10.5194/amt-17-4529-2024, 2024
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We present a verification of two products based on weather radars to detect the presence of hail and estimate its size. Radar products are remote detection of hail, so they must be verified against ground-based observations. We use reports from users of the Swiss Weather Services phone app to do the verification. We found that the product estimating the presence of hail provides fair results but that it should be recalibrated and that estimating the hail size with radar is more challenging.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
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The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Martin Lainer, Killian P. Brennan, Alessandro Hering, Jérôme Kopp, Samuel Monhart, Daniel Wolfensberger, and Urs Germann
Atmos. Meas. Tech., 17, 2539–2557, https://doi.org/10.5194/amt-17-2539-2024, https://doi.org/10.5194/amt-17-2539-2024, 2024
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This study uses deep learning (the Mask R-CNN model) on drone-based photogrammetric data of hail on the ground to estimate hail size distributions (HSDs). Traditional hail sensors' limited areas complicate the full HSD retrieval. The HSD of a supercell event on 20 June 2021 is retrieved and contains > 18 000 hailstones. The HSD is compared to automatic hail sensor measurements and those of weather-radar-based MESHS. Investigations into ground hail melting are performed by five drone flights.
Alexandre Tuel and Olivia Martius
Weather Clim. Dynam., 5, 263–292, https://doi.org/10.5194/wcd-5-263-2024, https://doi.org/10.5194/wcd-5-263-2024, 2024
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Warm and cold spells often have damaging consequences for agriculture, power demand, human health and infrastructure, especially when they occur over large areas and persist for a week or more. Here, we split the Northern Hemisphere extratropics into coherent regions where 3-week warm and cold spells in winter and summer are associated with the same large-scale circulation patterns. To understand their physical drivers, we analyse the associated circulation and temperature budget anomalies.
Alexandre Tuel and Olivia Martius
Earth Syst. Dynam., 14, 955–987, https://doi.org/10.5194/esd-14-955-2023, https://doi.org/10.5194/esd-14-955-2023, 2023
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Weather persistence on sub-seasonal to seasonal timescales has been a topic of research since the early days of meteorology. Stationary or recurrent behavior are common features of weather dynamics and are strongly related to fundamental physical processes, weather predictability and surface weather impacts. In this review, we propose a typology for the broad concepts related to persistence and discuss various methods that have been used to characterize persistence in weather data.
Pauline Rivoire, Olivia Martius, Philippe Naveau, and Alexandre Tuel
Nat. Hazards Earth Syst. Sci., 23, 2857–2871, https://doi.org/10.5194/nhess-23-2857-2023, https://doi.org/10.5194/nhess-23-2857-2023, 2023
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Heavy precipitation can lead to floods and landslides, resulting in widespread damage and significant casualties. Some of its impacts can be mitigated if reliable forecasts and warnings are available. In this article, we assess the capacity of the precipitation forecast provided by ECMWF to predict heavy precipitation events on a subseasonal-to-seasonal (S2S) timescale over Europe. We find that the forecast skill of such events is generally higher in winter than in summer.
Jérôme Kopp, Agostino Manzato, Alessandro Hering, Urs Germann, and Olivia Martius
Atmos. Meas. Tech., 16, 3487–3503, https://doi.org/10.5194/amt-16-3487-2023, https://doi.org/10.5194/amt-16-3487-2023, 2023
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We present the first study of extended field observations made by a network of 80 automatic hail sensors from Switzerland. The sensors record the exact timing of hailstone impacts, providing valuable information about the local duration of hailfall. We found that the majority of hailfalls lasts just a few minutes and that most hailstones, including the largest, fall during a first phase of high hailstone density, while a few remaining and smaller hailstones fall in a second low-density phase.
S. Mubashshir Ali, Matthias Röthlisberger, Tess Parker, Kai Kornhuber, and Olivia Martius
Weather Clim. Dynam., 3, 1139–1156, https://doi.org/10.5194/wcd-3-1139-2022, https://doi.org/10.5194/wcd-3-1139-2022, 2022
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Persistent weather can lead to extreme weather conditions. One such atmospheric flow pattern, termed recurrent Rossby wave packets (RRWPs), has been shown to increase persistent weather in the Northern Hemisphere. Here, we show that RRWPs are also an important feature in the Southern Hemisphere. We evaluate the role of RRWPs during south-eastern Australian heatwaves and find that they help to persist the heatwaves by forming upper-level high-pressure systems over south-eastern Australia.
Kathrin Wehrli, Fei Luo, Mathias Hauser, Hideo Shiogama, Daisuke Tokuda, Hyungjun Kim, Dim Coumou, Wilhelm May, Philippe Le Sager, Frank Selten, Olivia Martius, Robert Vautard, and Sonia I. Seneviratne
Earth Syst. Dynam., 13, 1167–1196, https://doi.org/10.5194/esd-13-1167-2022, https://doi.org/10.5194/esd-13-1167-2022, 2022
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The ExtremeX experiment was designed to unravel the contribution of processes leading to the occurrence of recent weather and climate extremes. Global climate simulations are carried out with three models. The results show that in constrained experiments, temperature anomalies during heatwaves are well represented, although climatological model biases remain. Further, a substantial contribution of both atmospheric circulation and soil moisture to heat extremes is identified.
Alexandre Tuel, Bettina Schaefli, Jakob Zscheischler, and Olivia Martius
Hydrol. Earth Syst. Sci., 26, 2649–2669, https://doi.org/10.5194/hess-26-2649-2022, https://doi.org/10.5194/hess-26-2649-2022, 2022
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River discharge is strongly influenced by the temporal structure of precipitation. Here, we show how extreme precipitation events that occur a few days or weeks after a previous event have a larger effect on river discharge than events occurring in isolation. Windows of 2 weeks or less between events have the most impact. Similarly, periods of persistent high discharge tend to be associated with the occurrence of several extreme precipitation events in close succession.
Daniel Steinfeld, Adrian Peter, Olivia Martius, and Stefan Brönnimann
EGUsphere, https://doi.org/10.5194/egusphere-2022-92, https://doi.org/10.5194/egusphere-2022-92, 2022
Preprint archived
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We assess the performance of various fire weather indices to predict wildfire occurrence in Northern Switzerland. We find that indices responding readily to weather changes have the best performance during spring; in the summer and autumn seasons, indices that describe persistent hot and dry conditions perform best. We demonstrate that a logistic regression model trained on local historical fire activity can outperform existing fire weather indices.
Lisa-Ann Kautz, Olivia Martius, Stephan Pfahl, Joaquim G. Pinto, Alexandre M. Ramos, Pedro M. Sousa, and Tim Woollings
Weather Clim. Dynam., 3, 305–336, https://doi.org/10.5194/wcd-3-305-2022, https://doi.org/10.5194/wcd-3-305-2022, 2022
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Atmospheric blocking is associated with stationary, self-sustaining and long-lasting high-pressure systems. They can cause or at least influence surface weather extremes, such as heat waves, cold spells, heavy precipitation events, droughts or wind extremes. The location of the blocking determines where and what type of extreme event will occur. These relationships are also important for weather prediction and may change due to global warming.
Monika Feldmann, Urs Germann, Marco Gabella, and Alexis Berne
Weather Clim. Dynam., 2, 1225–1244, https://doi.org/10.5194/wcd-2-1225-2021, https://doi.org/10.5194/wcd-2-1225-2021, 2021
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Mesocyclones are the rotating updraught of supercell thunderstorms that present a particularly hazardous subset of thunderstorms. A first-time characterisation of the spatiotemporal occurrence of mesocyclones in the Alpine region is presented, using 5 years of Swiss operational radar data. We investigate parallels to hailstorms, particularly the influence of large-scale flow, daily cycles and terrain. Improving understanding of mesocyclones is valuable for risk assessment and warning purposes.
Hélène Barras, Olivia Martius, Luca Nisi, Katharina Schroeer, Alessandro Hering, and Urs Germann
Weather Clim. Dynam., 2, 1167–1185, https://doi.org/10.5194/wcd-2-1167-2021, https://doi.org/10.5194/wcd-2-1167-2021, 2021
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In Switzerland hail may occur several days in a row. Such multi-day hail events may cause significant damage, and understanding and forecasting these events is important. Using reanalysis data we show that weather systems over Europe move slower before and during multi-day hail events compared to single hail days. Surface temperatures are typically warmer and the air more humid over Switzerland and winds are slower on multi-day hail clusters. These results may be used for hail forecasting.
Timothy H. Raupach, Andrey Martynov, Luca Nisi, Alessandro Hering, Yannick Barton, and Olivia Martius
Geosci. Model Dev., 14, 6495–6514, https://doi.org/10.5194/gmd-14-6495-2021, https://doi.org/10.5194/gmd-14-6495-2021, 2021
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When simulated thunderstorms are compared to observations or other simulations, a match between overall storm properties is often more important than exact matches to individual storms. We tested a comparison method that uses a thunderstorm tracking algorithm to characterise simulated storms. For May 2018 in Switzerland, the method produced reasonable matches to independent observations for most storm properties, showing its feasibility for summarising simulated storms over mountainous terrain.
Alexandre Tuel and Olivia Martius
Nat. Hazards Earth Syst. Sci., 21, 2949–2972, https://doi.org/10.5194/nhess-21-2949-2021, https://doi.org/10.5194/nhess-21-2949-2021, 2021
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Extreme river discharge may be triggered by large accumulations of precipitation over short time periods, which can result from the successive occurrence of extreme-precipitation events. We find a distinct spatiotemporal pattern in the temporal clustering behavior of precipitation extremes over Switzerland, with clustering occurring on the northern side of the Alps in winter and on their southern side in fall. Clusters tend to be followed by extreme discharge, particularly in the southern Alps.
Jérôme Kopp, Pauline Rivoire, S. Mubashshir Ali, Yannick Barton, and Olivia Martius
Hydrol. Earth Syst. Sci., 25, 5153–5174, https://doi.org/10.5194/hess-25-5153-2021, https://doi.org/10.5194/hess-25-5153-2021, 2021
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Episodes of extreme rainfall events happening in close temporal succession can lead to floods with dramatic impacts. We developed a novel method to individually identify those episodes and deduced the regions where they occur frequently and where their impact is substantial. Those regions are the east and northeast of the Asian continent, central Canada and the south of California, Afghanistan, Pakistan, the southwest of the Iberian Peninsula, and north of Argentina and south of Bolivia.
Regula Muelchi, Ole Rössler, Jan Schwanbeck, Rolf Weingartner, and Olivia Martius
Hydrol. Earth Syst. Sci., 25, 3577–3594, https://doi.org/10.5194/hess-25-3577-2021, https://doi.org/10.5194/hess-25-3577-2021, 2021
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This study analyses changes in magnitude, frequency, and seasonality of moderate low and high flows for 93 catchments in Switzerland. In lower-lying catchments (below 1500 m a.s.l.), moderate low-flow magnitude (frequency) will decrease (increase). In Alpine catchments (above 1500 m a.s.l.), moderate low-flow magnitude (frequency) will increase (decrease). Moderate high flows tend to occur more frequent, and their magnitude increases in most catchments except some Alpine catchments.
Regula Muelchi, Ole Rössler, Jan Schwanbeck, Rolf Weingartner, and Olivia Martius
Hydrol. Earth Syst. Sci., 25, 3071–3086, https://doi.org/10.5194/hess-25-3071-2021, https://doi.org/10.5194/hess-25-3071-2021, 2021
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Runoff regimes in Switzerland will change significantly under climate change. Projected changes are strongly elevation dependent with earlier time of emergence and stronger changes in high-elevation catchments where snowmelt and glacier melt play an important role. The magnitude of change and the climate model agreement on the sign increase with increasing global mean temperatures and stronger emission scenarios. This amplification highlights the importance of climate change mitigation.
Cited articles
Ashley, W. S., Haberlie, A. M., and Gensini, V. A.: The Future of Supercells in the United States, B. Am. Meteorol. Soc., 104, E1–E21, https://doi.org/10.1175/BAMS-D-22-0027.1, 2023. a, b
Ban, N., Schmidli, J., and Schär, C.: Heavy precipitation in a changing climate: Does short-term summer precipitation increase faster?, Geophys. Res. Lett., 42, 1165–1172, https://doi.org/10.1002/2014GL062588, 2015. a
Ban, N., Rajczak, J., Schmidli, J., and Schär, C.: Analysis of Alpine precipitation extremes using generalized extreme value theory in convection-resolving climate simulations, Clim. Dynam., 55, 61–75, https://doi.org/10.1007/s00382-018-4339-4, 2020. a, b
Barras, H., Hering, A., Martynov, A., Noti, P.-A., Germann, U., and Martius, O.: Experiences with > 50,000 Crowdsourced Hail Reports in Switzerland, B. Am. Meteorol. Soc., 100, 1429–1440, https://doi.org/10.1175/BAMS-D-18-0090.1, 2019. a
Battaglioli, F., Groenemeijer, P., Púčik, T., Taszarek, M., Ulbrich, U., and Rust, H.: Modeled Multidecadal Trends of Lightning and (Very) Large Hail in Europe and North America (1950–2021), J. Appl. Meteorol. Clim., 62, 1627–1653, https://doi.org/10.1175/JAMC-D-22-0195.1, 2023. a
Benjamini, Y. and Hochberg, Y.: Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing, J. Roy. Stat. Soc. B, 57, 289–300, https://doi.org/10.1111/j.2517-6161.1995.tb02031.x, 1995. a
Blanc, M. and Feldmann, M.: Supercell track model data from a current and a future climate European COSMO simulations, Zenodo [data set], https://doi.org/10.5281/zenodo.13378057, 2024. a
Brennan, K.: KillianBrennan/cookie_cutter: climate release, Version climate_release, Zenodo [code], https://doi.org/10.5281/zenodo.14631622, 2025. a
Brennan, K. P., Sprenger, M., Walser, A., Arpagaus, M., and Wernli, H.: An object-based and Lagrangian view on an intense hailstorm day in Switzerland as represented in COSMO-1E ensemble hindcast simulations, Weather Clim. Dynam., 6, 645–668, https://doi.org/10.5194/wcd-6-645-2025, 2025a. a
Brennan, K. P., Thurnherr, I., Sprenger, M., and Wernli, H.: Insights from hailstorm track analysis in European climate change simulations, Nat. Hazards Earth Syst. Sci., 25, 3693–3712, https://doi.org/10.5194/nhess-25-3693-2025, 2025b. a
Brogli, R., Heim, C., Mensch, J., Sørland, S. L., and Schär, C.: The pseudo-global-warming (PGW) approach: methodology, software package PGW4ERA5 v1.1, validation, and sensitivity analyses, Geosci. Model Dev., 16, 907–926, https://doi.org/10.5194/gmd-16-907-2023, 2023. a, b
Brown, R. A. and Meitín, R. J.: Evolution and Morphology of Two Splitting Thunderstorms with Dominant Left-Moving Members, Mon. Weather Rev., 122, 2052–2067, https://doi.org/10.1175/1520-0493(1994)122<2052:EAMOTS>2.0.CO;2, 1994. a, b
Bunkers, M. J.: Vertical Wind Shear Associated with Left-Moving Supercells, Weather Forecast., 17, 845–855, https://doi.org/10.1175/1520-0434(2002)017<0845:VWSAWL>2.0.CO;2, 2002. a, b
Calvo-Sancho, C., Díaz-Fernández, J., Martín, Y., Bolgiani, P., Sastre, M., González-Alemán, J. J., Santos-Muñoz, D., Farrán, J. I., and Martín, M. L.: Supercell convective environments in Spain based on ERA5: hail and non-hail differences, Weather Clim. Dynam., 3, 1021–1036, https://doi.org/10.5194/wcd-3-1021-2022, 2022. a, b
Cui, R., Ban, N., Demory, M.-E., Aellig, R., Fuhrer, O., Jucker, J., Lapillonne, X., and Schär, C.: Exploring hail and lightning diagnostics over the Alpine-Adriatic region in a km-scale climate model, Weather Clim. Dynam., 4, 905–926, https://doi.org/10.5194/wcd-4-905-2023, 2023. a
Cui, R., Thurnherr, I., Velasquez, P., Brennan, K. P., Leclair, M., Mazzoleni, A., Schmid, T., Wernli, H., and Schär, C.: A European Hail and Lightning Climatology From an 11-Year Kilometer-Scale Regional Climate Simulation, J. Geophys. Res.-Atmos., 130, e2024JD042828, https://doi.org/10.1029/2024JD042828, 2025. a, b
Davenport, C. E.: Environmental Evolution of Long-Lived Supercell Thunderstorms in the Great Plains, Weather Forecast., 36, 2187–2209, https://doi.org/10.1175/WAF-D-21-0042.1, 2021. a
Davies-Jones, R.: Streamwise Vorticity: The Origin of Updraft Rotation in Supercell Storms, J. Atmos. Sci., 41, 2991–3006, https://doi.org/10.1175/1520-0469(1984)041<2991:SVTOOU>2.0.CO;2, 1984. a
Davies-Jones, R.: Linear and Nonlinear Propagation of Supercell Storms, J. Atmos. Sci., 59, 3178–3205, https://doi.org/10.1175/1520-0469(2003)059<3178:LANPOS>2.0.CO;2, 2002. a
Davies-Jones, R.: A review of supercell and tornado dynamics, Atmos. Res., 158–159, 274–291, https://doi.org/10.1016/j.atmosres.2014.04.007, 2015. a
Davies-Jones, R. P.: Tornado dynamics, Thunderstorm morphology and dynamics, 2, 197–236, 1986. a
Dessens, J., Berthet, C., and Sanchez, J. L.: Change in hailstone size distributions with an increase in the melting level height, Atmos. Res., 158–159, 245–253, https://doi.org/10.1016/j.atmosres.2014.07.004, 2015. a, b
Díaz-Fernández, J., Calvo-Sancho, C., Bolgiani, P., Sastre, M., López-Reyes, M., Fernández-González, S., and Martín, M. L.: Effect of complex orography on numerical simulations of a downburst event in Spain, Atmos. Res., 314, 107821, https://doi.org/10.1016/j.atmosres.2024.107821, 2025. a, b
Edwards, R. and Hodanish, S. J.: Photographic Documentation and Environmental Analysis of an Intense, Anticyclonic Supercell on the Colorado Plains, Mon. Weather Rev., 134, 3753–3763, https://doi.org/10.1175/MWR3296.1, 2006. a, b
Edwards, R. and Thompson, R. L.: Right-Moving Supercell Tornadogenesis during Interaction with a Left-Moving Supercell’s Rear-Flank Outflow, Weather Forecast., 39, 141–153, https://doi.org/10.1175/WAF-D-23-0075.1, 2024. a
Edwards, R., Thompson, R. L., Mead, C. M., and Center, S. P.: Assessment of anticyclonic supercell environments using close proximity soundings from the RUC model, Poster Session P1.2, in: 22nd Conference on Severe Local Storms, Hyannis, MA, 4–8 October 2004, Amer. Meteor. Soc., https://ams.confex.com/ams/pdfpapers/81328.pdf (last access: 13 April 2026), 2004. a
Emanuel, K.: On the Physics of High CAPE, J. Atmos. Sci., 80, 2669–2683, https://doi.org/10.1175/JAS-D-23-0060.1, 2023. a
Estermann, R., Rajczak, J., Velasquez, P., Lorenz, R., and Schär, C.: Projections of Heavy Precipitation Characteristics Over the Greater Alpine Region Using a Kilometer–Scale Climate Model Ensemble, J. Geophys. Res.-Atmos., 130, e2024JD040901, https://doi.org/10.1029/2024JD040901, 2025. a, b
Feldmann, M.: feldmann-m/SC_left_right: SC_LR_V1, Zenodo [code], https://doi.org/10.5281/zenodo.19384076, 2026. a
Feldmann, M. and Beer, S.: Supplement data to “Left- and right-moving supercell dynamics, environments and hazards - today and in future”, Zenodo [data set], https://doi.org/10.5281/zenodo.17873169, 2026. a
Feldmann, M., Germann, U., Gabella, M., and Berne, A.: A characterisation of Alpine mesocyclone occurrence, Weather Clim. Dynam., 2, 1225–1244, https://doi.org/10.5194/wcd-2-1225-2021, 2021. a, b
Feldmann, M., Hering, A., Gabella, M., and Berne, A.: Hailstorms and rainstorms versus supercells – a regional analysis of convective storm types in the Alpine region, npj Climate and Atmospheric Science, 6, 1–11, https://doi.org/10.1038/s41612-023-00352-z, 2023. a, b
Feldmann, M., Rotunno, R., Germann, U., and Berne, A.: Supercell Thunderstorms in Complex Topography—How Mountain Valleys with Lakes Can Increase Occurrence Frequency, Mon. Weather Rev., 152, 471–489, https://doi.org/10.1175/MWR-D-22-0350.1, 2024. a
Feldmann, M., Blanc, M., Brennan, K. P., Thurnherr, I., Velasquez, P., Martius, O., and Schär, C.: European supercell thunderstorms – A prevalent current threat and an increasing future hazard, Science Advances, 11, eadx0513, https://doi.org/10.1126/sciadv.adx0513, 2025a. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o
Gensini, V. A., Ashley, W. S., Michaelis, A. C., Haberlie, A. M., Goodin, J., and Wallace, B. C.: Hailstone size dichotomy in a warming climate, npj Climate and Atmospheric Science, 7, 185, https://doi.org/10.1038/s41612-024-00728-9, 2024. a, b
Germann, U., Boscacci, M., Clementi, L., Gabella, M., Hering, A., Sartori, M., Sideris, I. V., and Calpini, B.: Weather Radar in Complex Orography, Remote Sensing, 14, 503, https://doi.org/10.3390/rs14030503, 2022. a
Ghasemifard, H., Groenemeijer, P., Battaglioli, F., and Púčik, T.: Do changing circulation types raise the frequency of summertime thunderstorms and large hail in Europe?, Environmental Research: Climate, 3, 015008, https://doi.org/10.1088/2752-5295/ad22ec, 2024. a
Grasso, L. D.: The Dissipation of a Left-Moving Cell in a Severe Storm Environment, Mon. Weather Rev., 128, 2797–2815, https://doi.org/10.1175/1520-0493(2000)128<2797:TDOALM>2.0.CO;2, 2000. a, b
Hall, A., Rahimi, S., Norris, J., Ban, N., Siler, N., Leung, L. R., Ullrich, P., Reed, K. A., Prein, A. F., and Qian, Y.: An Evaluation of Dynamical Downscaling Methods Used to Project Regional Climate Change, J. Geophys. Res.-Atmos., 129, e2023JD040591, https://doi.org/10.1029/2023JD040591, 2024. a
Heim, C., Leutwyler, D., and Schär, C.: Application of the Pseudo-Global Warming Approach in a Kilometer-Resolution Climate Simulation of the Tropics, J. Geophys. Res.-Atmos., 128, e2022JD037958, https://doi.org/10.1029/2022JD037958, 2023. 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
Kahraman, A., Kendon, E. J., Fowler, H. J., and Short, C. J.: Future changes in severe hail across Europe, including regional emergence of warm-type thunderstorms, Nat. Commun., 16, 8438, https://doi.org/10.1038/s41467-025-62780-0, 2025. a
Markowski, P. and Richardson, Y.: Mesoscale Meteorology in Midlatitudes, Wiley-Blackwell, https://doi.org/10.1002/9780470682104, ISBN 978-0-470-74213-6, 2010. a, b
McKnight, P. E. and Najab, J.: Mann-Whitney U Test, in: The Corsini Encyclopedia of Psychology, edited by: Weiner, I. B. and Craighead, W. E., John Wiley & Sons, Ltd, 1–1, https://doi.org/10.1002/9780470479216.corpsy0524, ISBN 978-0-470-47921-6, 2010. a
Mohr, S., Wilhelm, J., Wandel, J., Kunz, M., Portmann, R., Punge, H. J., Schmidberger, M., Quinting, J. F., and Grams, C. M.: The role of large-scale dynamics in an exceptional sequence of severe thunderstorms in Europe May–June 2018, Weather Clim. Dynam., 1, 325–348, https://doi.org/10.5194/wcd-1-325-2020, 2020. a, b
Mulholland, J. P., Nowotarski, C. J., Peters, J. M., Morrison, H., and Nielsen, E. R.: How Does Vertical Wind Shear Influence Updraft Characteristics and Hydrometeor Distributions in Supercell Thunderstorms?, Mon. Weather Rev., 152, 1663–1687, https://doi.org/10.1175/MWR-D-23-0166.1, 2024. a, b
Nelson, R.: Polarimetric Radar Signatures in Significant Severe Left-moving Supercells, thesis, Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research, https://digitalcommons.unl.edu/geoscidiss/158 (last access: 13 April 2026), 2024. a
Nielsen, E. R. and Schumacher, R. S.: Dynamical Insights into Extreme Short-Term Precipitation Associated with Supercells and Mesovortices, J. Atmos. Sci., 75, 2983–3009, https://doi.org/10.1175/JAS-D-17-0385.1, 2018. a, b, c
Nielsen, E. R. and Schumacher, R. S.: Dynamical Mechanisms Supporting Extreme Rainfall Accumulations in the Houston “Tax Day” 2016 Flood, Mon. Weather Rev., 148, 83–109, https://doi.org/10.1175/MWR-D-19-0206.1, 2020. a, b, c
Nisi, L., Hering, A., Germann, U., and Martius, O.: A 15-year hail streak climatology for the Alpine region, Q. J. Roy. Meteor. Soc., 144, 1429–1449, https://doi.org/10.1002/qj.3286, 2018. a
Peyraud, L.: Analysis of the 18 July 2005 Tornadic Supercell over the Lake Geneva Region, Weather Forecast., 28, 1524–1551, https://doi.org/10.1175/waf-d-13-00022.1, 2013. a, b
Prein, A. F.: Thunderstorm straight line winds intensify with climate change, Nat. Clim. Change, 13, 1353–1359, https://doi.org/10.1038/s41558-023-01852-9, 2023. a, b
Prein, A. F., Rasmussen, R. M., Wang, D., and Giangrande, S. E.: Sensitivity of organized convective storms to model grid spacing in current and future climates, Philoso. T. Roy. Soc. A, 379, 20190546, https://doi.org/10.1098/rsta.2019.0546, 2021. a
Prein, A. F., Wang, D., Ge, M., Ramos Valle, A., and Chasteen, M. B.: Resolving Mesoscale Convective Systems: Grid Spacing Sensitivity in the Tropics and Midlatitudes, J. Geophys. Res.-Atmos., 130, e2024JD042530, https://doi.org/10.1029/2024JD042530 2025. a, b
Pîrloagă, R., Ene, D., and Antonescu, B.: Population Bias on Tornado Reports in Europe, Applied Sciences, 11, 11485, https://doi.org/10.3390/app112311485, 2021. a
Raupach, T. H., Martius, O., Allen, J. T., Kunz, M., Lasher-Trapp, S., Mohr, S., Rasmussen, K. L., Trapp, R. J., and Zhang, Q.: The effects of climate change on hailstorms, Nature Reviews Earth & Environment, 2, 213–226, https://doi.org/10.1038/s43017-020-00133-9, 2021. a, b
Romanic, D., Taszarek, M., and Brooks, H.: Convective environments leading to microburst, macroburst and downburst events across the United States, Weather and Climate Extremes, 37, 100474, https://doi.org/10.1016/j.wace.2022.100474, 2022. a, b
Saltikoff, E., Haase, G., Delobbe, L., Gaussiat, N., Martet, M., Idziorek, D., Leijnse, H., Novák, P., Lukach, M., and Stephan, K.: OPERA the Radar Project, Atmosphere, 10, 320, https://doi.org/10.3390/atmos10060320, 2019. a
Sato, T., Kimura, F., and Kitoh, A.: Projection of global warming onto regional precipitation over Mongolia using a regional climate model, J. Hydrol., 333, 144–154, https://doi.org/10.1016/j.jhydrol.2006.07.023, 2007. a
Schär, C., Frei, C., Lüthi, D., and Davies, H. C.: Surrogate climate-change scenarios for regional climate models, Geophys. Res. Lett., 23, 669–672, https://doi.org/10.1029/96GL00265,1996. a
Schär, C., Fuhrer, O., Arteaga, A., Ban, N., Charpilloz, C., Girolamo, S. D., Hentgen, L., Hoefler, T., Lapillonne, X., Leutwyler, D., Osterried, K., Panosetti, D., Rüdisühli, S., Schlemmer, L., Schulthess, T. C., Sprenger, M., Ubbiali, S., and Wernli, H.: Kilometer-Scale Climate Models: Prospects and Challenges, B. Am. Meteorol. Soc., 101, E567–E587, https://doi.org/10.1175/BAMS-D-18-0167.1, 2020. a
Schultz, D. M., Young, M. V., and Kirshbaum, D. J.: The Spanish Plume Elevated Mixed Layer: A Review of Its Use and Misuse within the Scientific Literature, Mon. Weather Rev., 153, 737–761, https://doi.org/10.1175/MWR-D-24-0139.1, 2025. a
Sherburn, K. D. and Parker, M. D.: Climatology and Ingredients of Significant Severe Convection in High-Shear, Low-CAPE Environments, Weather Forecast., 29, 854–877, https://doi.org/10.1175/WAF-D-13-00041.1, 2014. a, b
Sherburn, K. D., Parker, M. D., King, J. R., and Lackmann, G. M.: Composite Environments of Severe and Nonsevere High-Shear, Low-CAPE Convective Events, Weather Forecast., 31, 1899–1927, https://doi.org/10.1175/WAF-D-16-0086.1, 2016. a, b
Srivastava, R. C.: A Simple Model of Evaporatively Driven Downdraft: Application to Microburst Downdraft, J. Atmos. Sci., 42, 1004–1023, https://doi.org/10.1175/1520-0469(1985)042<1004:ASMOED>2.0.CO;2, 1985. a
Taszarek, M., Kendzierski, S., and Pilguj, N.: Hazardous weather affecting European airports: Climatological estimates of situations with limited visibility, thunderstorm, low-level wind shear and snowfall from ERA5, Weather and Climate Extremes, 28, 100243, https://doi.org/10.1016/j.wace.2020.100243, 2020. a
Taszarek, M., Allen, J. T., Brooks, H. E., Pilguj, N., and Czernecki, B.: Differing Trends in United States and European Severe Thunderstorm Environments in a Warming Climate, B. Am. Meteorol. Soc., 102, E296–E322, https://doi.org/10.1175/BAMS-D-20-0004.1, 2021. a, b, c
Trapp, R. J., Woods, M. J., Lasher-Trapp, S. G., and Grover, M. A.: Alternative Implementations of the “Pseudo-Global-Warming” Methodology for Event-Based Simulations, J. Geophys. Res.-Atmos., 126, e2021JD035017, https://doi.org/10.1029/2021JD035017, 2021. a
Trapp, R. J., Lasher-Trapp, S. G., Claybrooke, R. D., and Romppainen-Martius, O.: A Storyline Climate-Change Attribution Study of a High-Impact Hailstorm in Switzerland, Geophys. Res. Lett., 52, e2025GL117142, https://doi.org/10.1029/2025GL117142, 2025. a
van Delden, A.: The synoptic setting of a thundery low and associated prefrontal squall line in western Europe, Meteorol. Atmos. Phys., 65, 113–131, https://doi.org/10.1007/BF01030272, 1998. a
Ventura, V., Paciorek, C. J., and Risbey, J. S.: Controlling the Proportion of Falsely Rejected Hypotheses when Conducting Multiple Tests with Climatological Data, J. Climate, 17, 4343–4356, https://doi.org/10.1175/3199.1, 2004. a
Wade, A. R. and Parker, M. D.: Dynamics of Simulated High-Shear, Low-CAPE Supercells, J. Atmos. Sci., 78, 1389–1410, https://doi.org/10.1175/JAS-D-20-0117.1, 2021. a, b
Wapler, K. and James, P.: Thunderstorm occurrence and characteristics in Central Europe under different synoptic conditions, Atmos. Res., 158-159, 231–244, https://doi.org/10.1016/j.atmosres.2014.07.011, 2014. a, b, c
Weisman, M. L., Skamarock, W. C., and Klemp, J. B.: The Resolution Dependence of Explicitly Modeled Convective Systems, Mon. Weather Rev., 125, 527–548, https://doi.org/10.1175/1520-0493(1997)125<0527:TRDOEM>2.0.CO;2, 1997. a
Weisman, M. L., Manning, K. W., Sobash, R. A., and Schwartz, C. S.: Simulations of Severe Convective Systems Using 1- versus 3-km Grid Spacing, Weather Forecast., 38, 401–423, https://doi.org/10.1175/WAF-D-22-0112.1, 2023. a
Wilhelm, L., Schwierz, C., Schröer, K., Taszarek, M., and Martius, O.: Reconstructing hail days in Switzerland with statistical models (1959–2022), Nat. Hazards Earth Syst. Sci., 24, 3869–3894, https://doi.org/10.5194/nhess-24-3869-2024, 2024. a
Zeeb, A. W., Ashley, W. S., Haberlie, A. M., Gensini, V. A., and Michaelis, A. C.: Supercell precipitation contribution to the United States hydroclimate, Int. J. Climatol., 44, 1489–1512, https://doi.org/10.1002/joc.8395, 2024. a, b
Short summary
Supercell thunderstorms are among Europe's most damaging storms. Using high-resolution climate data, we compare left-moving (LM) and right-moving (RM) supercells. RMs have larger areas of intense rainfall, hail, and lightning, while LMs are smaller but can reach similar intensities and occur in warmer, less stable conditions. In a warmer climate, supercell hazards intensify, especially for LMs. A regional analysis shows how regional climates further influence storm conditions and hazards.
Supercell thunderstorms are among Europe's most damaging storms. Using high-resolution climate...
