Articles | Volume 4, issue 2
https://doi.org/10.5194/wcd-4-489-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-4-489-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2023
Research article |
| 25 May 2023
| 25 May 2023
Thunderstorm environments in Europe
Deborah Morgenstern
CORRESPONDING AUTHOR
Department of Atmospheric and Cryospheric Sciences (ACINN),
University of Innsbruck, Innsbruck, Austria
Department of Statistics, University of Innsbruck, Innsbruck,
Austria
Isabell Stucke
Department of Atmospheric and Cryospheric Sciences (ACINN),
University of Innsbruck, Innsbruck, Austria
Department of Statistics, University of Innsbruck, Innsbruck,
Austria
Department of Atmospheric and Cryospheric Sciences (ACINN),
University of Innsbruck, Innsbruck, Austria
Achim Zeileis
Department of Statistics, University of Innsbruck, Innsbruck,
Austria
Thorsten Simon
Department of Statistics, University of Innsbruck, Innsbruck,
Austria
Department of Mathematics, University of Innsbruck, Innsbruck,
Austria
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Alice Portal, Shira Raveh-Rubin, Jennifer L. Catto, Yonatan Givon, and Olivia Martius
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Svenja Christ, Marta Wenta, Christian M. Grams, and Annika Oertel
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Antonio Segalini, Jacopo Riboldi, Volkmar Wirth, and Gabriele Messori
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Moritz Deinhard and Christian M. Grams
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Although heatwaves are among the most dangerous weather-related hazards, their underlying mechanisms are not fully understood. Here, we investigate the formation of heat waves in an air-parcel based framework and distinguish the contributions from horizontal transport, vertical transport, and diabatic heating. We show that the obtained results depend profoundly on whether one compares the absolute contributions of the individual terms or, instead, their anomalies relative to climatology.
Henri Rossi Pinheiro, Kevin Ivan Hodges, and Manoel Alonso Gan
Weather Clim. Dynam., 5, 881–894, https://doi.org/10.5194/wcd-5-881-2024, https://doi.org/10.5194/wcd-5-881-2024, 2024
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Cut-off lows (COLs) are weather systems with varied structures and lifecycles, from upper atmospheric to deep vortices. Deep, strong COLs are common around Australia and the southwestern Pacific in autumn and spring, while shallow, weak COLs occur more in summer near the Equator. Jet streams play a crucial role in COL development, with different jets influencing its depth and strength. The study also emphasizes the need for better representation of diabatic processes in reanalysis data.
Aleksa Stanković, Gabriele Messori, Joaquim G. Pinto, and Rodrigo Caballero
Weather Clim. Dynam., 5, 821–837, https://doi.org/10.5194/wcd-5-821-2024, https://doi.org/10.5194/wcd-5-821-2024, 2024
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The article studies extreme winds near the surface over the North Atlantic Ocean. These winds are caused by storms that pass through this region. The strongest storms that have occurred in the winters from 1950–2020 are studied in detail and compared to weaker but still strong storms. The analysis shows that the storms associated with the strongest winds are preceded by another older storm that travelled through the same region and made the conditions suitable for development of extreme winds.
Edward Groot, Patrick Kuntze, Annette Miltenberger, and Holger Tost
Weather Clim. Dynam., 5, 779–803, https://doi.org/10.5194/wcd-5-779-2024, https://doi.org/10.5194/wcd-5-779-2024, 2024
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Deep convective clouds (thunderstorms), which may cause severe weather, tend to coherently organise into structured cloud systems. Accurate representation of these systems in models is difficult due to their complex dynamics and, in numerical simulations, the dependence of their dynamics on resolution. Here, the effect of convective organisation and geometry on their outflow winds (altitudes of 7–14 km) is investigated. Representation of their dynamics and outflows improves at higher resolution.
Stephen Outten and Richard Davy
Weather Clim. Dynam., 5, 753–762, https://doi.org/10.5194/wcd-5-753-2024, https://doi.org/10.5194/wcd-5-753-2024, 2024
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The North Atlantic Oscillation is linked to wintertime weather events over Europe. One feature often overlooked is how much the climate variability explained by the NAO has changed over time. We show that there has been a considerable increase in the percentage variance explained by the NAO over the 20th century and that this is not reproduced by 50 CMIP6 climate models, which are generally biased too high. This has implications for projections and prediction of weather events in the region.
Seraphine Hauser, Franziska Teubler, Michael Riemer, Peter Knippertz, and Christian M. Grams
Weather Clim. Dynam., 5, 633–658, https://doi.org/10.5194/wcd-5-633-2024, https://doi.org/10.5194/wcd-5-633-2024, 2024
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Blocking over Greenland has substantial impacts on the weather and climate in mid- and high latitudes. This study applies a quasi-Lagrangian thinking on the dynamics of Greenland blocking and reveals two pathways of anticyclonic anomalies linked to the block. Moist processes were found to play a dominant role in the formation and maintenance of blocking. This emphasizes the necessity of the correct representation of moist processes in weather and climate models to realistically depict blocking.
Katharina Heitmann, Michael Sprenger, Hanin Binder, Heini Wernli, and Hanna Joos
Weather Clim. Dynam., 5, 537–557, https://doi.org/10.5194/wcd-5-537-2024, https://doi.org/10.5194/wcd-5-537-2024, 2024
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Warm conveyor belts (WCBs) are coherently ascending air streams that occur in extratropical cyclones where they form precipitation and often affect the large-scale flow. We quantified the key characteristics and impacts of WCBs and linked them to different phases in the cyclone life cycle and to different WCB branches. A climatology of these metrics revealed that WCBs are most intense during cyclone intensification and that the cyclonic and anticyclonic WCB branches show distinct differences.
Konstantin Krüger, Andreas Schäfler, Martin Weissmann, and George C. Craig
Weather Clim. Dynam., 5, 491–509, https://doi.org/10.5194/wcd-5-491-2024, https://doi.org/10.5194/wcd-5-491-2024, 2024
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Initial conditions of current numerical weather prediction models insufficiently represent the sharp vertical gradients across the midlatitude tropopause. Observation-space data assimilation output is used to study the influence of assimilated radiosondes on the tropopause. The radiosondes reduce systematic biases of the model background and sharpen temperature and wind gradients in the analysis. Tropopause sharpness is still underestimated in the analysis, which may impact weather forecasts.
Lucas Fery and Davide Faranda
Weather Clim. Dynam., 5, 439–461, https://doi.org/10.5194/wcd-5-439-2024, https://doi.org/10.5194/wcd-5-439-2024, 2024
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In this study, we analyse warm-season derechos – a type of severe convective windstorm – in France between 2000 and 2022, identifying 38 events. We compare their frequency and features with other countries. We also examine changes in the associated large-scale patterns. We find that convective instability has increased in southern Europe. However, the attribution of these changes to natural climate variability, human-induced climate change or a combination of both remains unclear.
Lukas Jansing, Lukas Papritz, and Michael Sprenger
Weather Clim. Dynam., 5, 463–489, https://doi.org/10.5194/wcd-5-463-2024, https://doi.org/10.5194/wcd-5-463-2024, 2024
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Using an innovative approach, the descent of foehn is diagnosed from a Lagrangian perspective based on 15 kilometer-scale simulations combined with online trajectories. The descent is confined to distinct hotspots in the immediate lee of local mountain peaks and chains. Two detailed case studies reveal a varying wave regime to be associated with the descent. Furthermore, additional controlling factors, such as the diurnal cycle, likewise influence the descent activity.
Alexander Scherrmann, Heini Wernli, and Emmanouil Flaounas
Weather Clim. Dynam., 5, 419–438, https://doi.org/10.5194/wcd-5-419-2024, https://doi.org/10.5194/wcd-5-419-2024, 2024
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We show that the formation of Mediterranean cyclones follows the presence of cyclones over the North Atlantic. The distinct regions of cyclone activity in the Mediterranean in the different seasons can be linked to the atmospheric state, in particular the position of the polar jet over the North Atlantic. With this we now better understand the processes that lead to the formation of Mediterranean cyclones. We used a novel simulation framework in which we directly show and probe this connection.
Camille Cadiou and Pascal Yiou
EGUsphere, https://doi.org/10.5194/egusphere-2024-612, https://doi.org/10.5194/egusphere-2024-612, 2024
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Extreme winter cold temperatures in Europe have huge societal impacts. This study focuses on very extreme cold events, such as the record of winter 1963 in France, expected to become rarer due to climate change. We use a light and efficient rare event algorithm to simulate a large number of extreme cold winters over France, to analyse their characteristics. We find that despite fewer occurrences, their intensity remains steady. We analyse prevailing atmospheric circulation during these events.
Belinda Hotz, Lukas Papritz, and Matthias Röthlisberger
Weather Clim. Dynam., 5, 323–343, https://doi.org/10.5194/wcd-5-323-2024, https://doi.org/10.5194/wcd-5-323-2024, 2024
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Analysing the vertical structure of temperature anomalies of recent record-breaking heatwaves reveals a complex four-dimensional interplay of anticyclone–heatwave interactions, with vertically strongly varying advective, adiabatic, and diabatic contributions to the respective temperature anomalies. The heatwaves featured bottom-heavy positive temperature anomalies, extending throughout the troposphere.
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.
Marta Wenta, Christian M. Grams, Lukas Papritz, and Marc Federer
Weather Clim. Dynam., 5, 181–209, https://doi.org/10.5194/wcd-5-181-2024, https://doi.org/10.5194/wcd-5-181-2024, 2024
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Our study links air–sea interactions over the Gulf Stream to an atmospheric block in February 2019. We found that over 23 % of air masses that were lifted into the block by cyclones interacted with the Gulf Stream. As cyclones pass over the Gulf Stream, they cause intense surface evaporation events, preconditioning the environment for the development of cyclones. This implies that air–sea interactions over the Gulf Stream affect the large-scale dynamics in the North Atlantic–European region.
Yonatan Givon, Or Hess, Emmanouil Flaounas, Jennifer Louise Catto, Michael Sprenger, and Shira Raveh-Rubin
Weather Clim. Dynam., 5, 133–162, https://doi.org/10.5194/wcd-5-133-2024, https://doi.org/10.5194/wcd-5-133-2024, 2024
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A novel classification of Mediterranean cyclones is presented, enabling a separation between storms driven by different atmospheric processes. The surface impact of each cyclone class differs greatly by precipitation, winds, and temperatures, providing an invaluable tool to study the climatology of different types of Mediterranean storms and enhancing the understanding of their predictability, on both weather and climate scales.
Talia Tamarin-Brodsky and Nili Harnik
Weather Clim. Dynam., 5, 87–108, https://doi.org/10.5194/wcd-5-87-2024, https://doi.org/10.5194/wcd-5-87-2024, 2024
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Synoptic waves in the atmosphere tend to follow a typical Rossby wave lifecycle, involving a linear growth stage followed by nonlinear and irreversible Rossby wave breaking (RWB). Here we take a new approach to study RWB events and their fundamental relation to weather systems by combining a storm-tracking technique and an RWB detection algorithm. The synoptic-scale dynamics leading to RWB is then examined by analyzing time evolution composites of cyclones and anticyclones during RWB events.
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.
Patrick Martineau, Swadhin K. Behera, Masami Nonaka, Hisashi Nakamura, and Yu Kosaka
Weather Clim. Dynam., 5, 1–15, https://doi.org/10.5194/wcd-5-1-2024, https://doi.org/10.5194/wcd-5-1-2024, 2024
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The representation of subweekly near-surface temperature variability trends over the Southern Hemisphere landmasses is compared across multiple atmospheric reanalyses. It is found that there is generally a good agreement concerning the positive trends affecting South Africa and Australia in the spring, and South America in the summer. A more efficient generation of subweekly temperature variance by horizontal temperature fluxes contributes to the observed rise.
Lea Eisenstein, Benedikt Schulz, Joaquim G. Pinto, and Peter Knippertz
Weather Clim. Dynam., 4, 981–999, https://doi.org/10.5194/wcd-4-981-2023, https://doi.org/10.5194/wcd-4-981-2023, 2023
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Mesoscale high-wind features within extratropical cyclones can cause immense damage. In Part 1 of this work, we introduced RAMEFI (RAndom-forest-based MEsoscale wind Feature Identification), an objective, flexible identification tool for these wind features based on a probabilistic random forest. Here, we use RAMEFI to compile a climatology of the features over 19 extended winter seasons over western and central Europe, focusing on relative occurrence, affected areas and further characteristics.
Tiina Nygård, Lukas Papritz, Tuomas Naakka, and Timo Vihma
Weather Clim. Dynam., 4, 943–961, https://doi.org/10.5194/wcd-4-943-2023, https://doi.org/10.5194/wcd-4-943-2023, 2023
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Despite the general warming trend, wintertime cold-air outbreaks in Europe have remained nearly as extreme and as common as decades ago. In this study, we identify six principal cold anomaly types over Europe in 1979–2020. We show the origins of various physical processes and their contributions to the formation of cold wintertime air masses.
Andrea Marcheggiani and Thomas Spengler
Weather Clim. Dynam., 4, 927–942, https://doi.org/10.5194/wcd-4-927-2023, https://doi.org/10.5194/wcd-4-927-2023, 2023
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There is a gap between the theoretical understanding and model representation of moist diabatic effects on the evolution of storm tracks. We seek to bridge this gap by exploring the relationship between diabatic and adiabatic contributions to changes in baroclinicity. We find reversed behaviours in the lower and upper troposphere in the maintenance of baroclinicity. In particular, our study reveals a link between higher moisture availability and upper-tropospheric restoration of baroclinicity.
Alice Portal, Fabio D'Andrea, Paolo Davini, Mostafa E. Hamouda, and Claudia Pasquero
Weather Clim. Dynam., 4, 809–822, https://doi.org/10.5194/wcd-4-809-2023, https://doi.org/10.5194/wcd-4-809-2023, 2023
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The differences between climate models can be exploited to infer how specific aspects of the climate influence the Earth system. This work analyses the effects of a negative temperature anomaly over the Tibetan Plateau on the winter atmospheric circulation. We show that models with a colder-than-average Tibetan Plateau present a reinforcement of the eastern Asian winter monsoon and discuss the atmospheric response to the enhanced transport of cold air from the continent toward the Pacific Ocean.
Charlie C. Suitters, Oscar Martínez-Alvarado, Kevin I. Hodges, Reinhard K. H. Schiemann, and Duncan Ackerley
Weather Clim. Dynam., 4, 683–700, https://doi.org/10.5194/wcd-4-683-2023, https://doi.org/10.5194/wcd-4-683-2023, 2023
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Atmospheric blocking describes large and persistent high surface pressure. In this study, the relationship between block persistence and smaller-scale systems is examined. Persistent blocks result from more interactions with small systems, but a block's persistence does not depend as strongly on the strength of these smaller features. This work is important because it provides more knowledge as to how blocks can be allowed to persist, which is something we still do not fully understand.
Emmanouil Flaounas, Leonardo Aragão, Lisa Bernini, Stavros Dafis, Benjamin Doiteau, Helena Flocas, Suzanne L. Gray, Alexia Karwat, John Kouroutzoglou, Piero Lionello, Mario Marcello Miglietta, Florian Pantillon, Claudia Pasquero, Platon Patlakas, María Ángeles Picornell, Federico Porcù, Matthew D. K. Priestley, Marco Reale, Malcolm J. Roberts, Hadas Saaroni, Dor Sandler, Enrico Scoccimarro, Michael Sprenger, and Baruch Ziv
Weather Clim. Dynam., 4, 639–661, https://doi.org/10.5194/wcd-4-639-2023, https://doi.org/10.5194/wcd-4-639-2023, 2023
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Cyclone detection and tracking methods (CDTMs) have different approaches in defining and tracking cyclone centers. This leads to disagreements on extratropical cyclone climatologies. We present a new approach that combines tracks from individual CDTMs to produce new composite tracks. These new tracks are shown to correspond to physically meaningful systems with distinctive life stages.
Florian Ruff and Stephan Pfahl
Weather Clim. Dynam., 4, 427–447, https://doi.org/10.5194/wcd-4-427-2023, https://doi.org/10.5194/wcd-4-427-2023, 2023
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In this study, we analyse the generic atmospheric processes of very extreme, 100-year precipitation events in large central European river catchments and the corresponding differences to less extreme events, based on a large time series (~1200 years) of simulated but realistic daily precipitation events from the ECMWF. Depending on the catchment, either dynamical mechanisms or thermodynamic conditions or a combination of both distinguish 100-year events from less extreme precipitation events.
Seraphine Hauser, Franziska Teubler, Michael Riemer, Peter Knippertz, and Christian M. Grams
Weather Clim. Dynam., 4, 399–425, https://doi.org/10.5194/wcd-4-399-2023, https://doi.org/10.5194/wcd-4-399-2023, 2023
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Blocking describes a flow configuration in the midlatitudes where stationary high-pressure systems block the propagation of weather systems. This study combines three individual perspectives that capture the dynamics and importance of various processes in the formation of a major blocking in 2016 from a weather regime perspective. In future work, this framework will enable a holistic view of the dynamics and the role of moist processes in different life cycle stages of blocked weather regimes.
Charles G. Gertler, Paul A. O'Gorman, and Stephan Pfahl
Weather Clim. Dynam., 4, 361–379, https://doi.org/10.5194/wcd-4-361-2023, https://doi.org/10.5194/wcd-4-361-2023, 2023
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The relationship between the time-mean state of the atmosphere and aspects of atmospheric circulation drives general understanding of the atmospheric circulation. Here, we present new techniques to calculate local properties of the time-mean atmosphere and relate those properties to aspects of extratropical circulation with important implications for weather. This relationship should help connect changes to the atmosphere, such as under global warming, to changes in midlatitude weather.
Colin Manning, Martin Widmann, Douglas Maraun, Anne F. Van Loon, and Emanuele Bevacqua
Weather Clim. Dynam., 4, 309–329, https://doi.org/10.5194/wcd-4-309-2023, https://doi.org/10.5194/wcd-4-309-2023, 2023
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Climate models differ in their representation of dry spells and high temperatures, linked to errors in the simulation of persistent large-scale anticyclones. Models that simulate more persistent anticyclones simulate longer and hotter dry spells, and vice versa. This information is important to consider when assessing the likelihood of such events in current and future climate simulations so that we can assess the plausibility of their future projections.
Franziska Teubler, Michael Riemer, Christopher Polster, Christian M. Grams, Seraphine Hauser, and Volkmar Wirth
Weather Clim. Dynam., 4, 265–285, https://doi.org/10.5194/wcd-4-265-2023, https://doi.org/10.5194/wcd-4-265-2023, 2023
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Weather regimes govern an important part of the sub-seasonal variability of the mid-latitude circulation. The year-round dynamics of blocked regimes in the Atlantic European region are investigated in over 40 years of data. We show that the dynamics between the regimes are on average very similar. Within the regimes, the main variability – starting from the characteristics of dynamical processes alone – dominates and transcends the variability in season and types of transitions.
Acacia S. Pepler and Irina Rudeva
Weather Clim. Dynam., 4, 175–188, https://doi.org/10.5194/wcd-4-175-2023, https://doi.org/10.5194/wcd-4-175-2023, 2023
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In recent decades, cold fronts have rained less often in southeast Australia, which contributes to decreasing cool season rainfall. The largest changes in front dynamics are found to the north of the area where rain changes. Wet fronts have strong westerly winds that reach much further north than dry fronts do, and these fronts are becoming less common, linked to weakening subtropical winds and changes in the Southern Hemisphere circulation.
Alexander Scherrmann, Heini Wernli, and Emmanouil Flaounas
Weather Clim. Dynam., 4, 157–173, https://doi.org/10.5194/wcd-4-157-2023, https://doi.org/10.5194/wcd-4-157-2023, 2023
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We investigate the dynamical origin of the lower-atmospheric potential vorticity (PV; linked to the intensity of cyclones) in Mediterranean cyclones. We quantify the contribution of the cyclone and the environment by tracing PV backward in time and space and linking it to the track of the cyclone. We find that the lower-tropospheric PV is produced shortly before the cyclone's stage of highest intensity. We investigate the driving processes and use a global dataset and a process-resolving one.
Felix Jäger, Philip Rupp, and Thomas Birner
Weather Clim. Dynam., 4, 49–60, https://doi.org/10.5194/wcd-4-49-2023, https://doi.org/10.5194/wcd-4-49-2023, 2023
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Mid-latitude weather is dominated by the growth, breaking and decay of baroclinic waves and associated jet shifts. A way to study this process is via idealised life-cycle simulations, which are often classified as LC1 (anticyclonic breaking, poleward shift) or LC2 (cyclonic breaking, equatorward shift), depending on details of the initial state. We show that all systems exhibit predominantly anticyclonic character and poleward net shifts if multiple wave modes are allowed to grow simultaneously.
Cited articles
Anderson, G. and Klugmann, D.: A European Lightning Density Analysis Using 5 Years of ATDnet Data, Nat. Hazards Earth Syst. Sci., 14, 815–829, https://doi.org/10.5194/nhess-14-815-2014, 2014. a
Becerra, M., Long, M., Schulz, W., and Thottappillil, R.: On the Estimation of the Lightning Incidence to Offshore Wind Farms, Elect. Power Syst. Res., 157, 211–226, https://doi.org/10.1016/j.epsr.2017.12.008, 2018. a
Bentley, M. L., Riley, C., and Mazur, E.: A Winter-Season Lightning
Climatology for the Contiguous United States, Meteorol. Atmos. Phys., 131, 1327–1340, https://doi.org/10.1007/s00703-018-0641-2, 2019. a
Bielec, Z.: Long-Term Variability of Thunderstorms and Thunderstorm
Precipitation Occurrence in Cracow, Poland, in the Period 1896–1995,
Atmos. Res., 56, 161–170, https://doi.org/10.1016/S0169-8095(00)00096-X, 2001. a
Brook, M., Nakano, M., Krehbiel, P., and Takeuti, T.: The Electrical Structure of the Hokuriku Winter Thunderstorms, J. Geophys. Res.-Oceans, 87, 1207–1215, https://doi.org/10.1029/JC087iC02p01207, 1982. a
Bryan, G. H., Wyngaard, J. C., and Fritsch, J. M.: Resolution Requirements for the Simulation of Deep Moist Convection, Mon. Weather Rev., 131,
2394–2416, https://doi.org/10.1175/1520-0493(2003)131<2394:RRFTSO>2.0.CO;2, 2003. a
CKB – Copernicus Knowledge Base: How to download ERA5,
https://confluence.ecmwf.int/display/CKB/How+to+download+ERA5 (last access: 7 May 2023), 2023.
a
Coquillat, S., Pont, V., Lambert, D., Houel, R., Pardé, M., Kreitz, M.,
Ricard, D., Gonneau, E., de Guibert, P., and Prieur, S.: Six Years of
Electrified Convection Over the Island of Corsica Monitored by SAETTA:
General Trends and Anomalously Electrified Thunderstorms During African Dust
South Flow Events, Atmos. Res., 275, 106227,
https://doi.org/10.1016/j.atmosres.2022.106227, 2022. a
Dowle, M. and Srinivasan, A.: data.table: Extension of `data.frame', R package version 1.13.2, CRAN [code], https://CRAN.R-project.org/package=data.table (last access: 7 May 2023), 2020. a
Engholm, C. D., Williams, E. R., and Dole, R. M.: Meteorological and Electrical Conditions Associated with Positive Cloud-to-Ground Lightning, Mon. Weather Rev., 118, 470–487,
https://doi.org/10.1175/1520-0493(1990)118<0470:MAECAW>2.0.CO;2, 1990. a
Enno, S.-E., Briede, A., and Valiukas, D.: Climatology of Thunderstorms in the Baltic Countries, 1951–2000, Theor. Appl. Climatol., 111, 309–325, https://doi.org/10.1007/s00704-012-0666-2, 2013. a, b, c, d
Fujii, F., Ishii, M., Saito, M., Matsui, M., and Natsuno, D.: Characteristics
of Winter Lightning Threatening Wind Turbines in Coastal Area of the Sea of
Japan, Elect. Eng. Jpn., 184, 44–50, https://doi.org/10.1002/eej.22357, 2013. a
Hayward, L., Whitworth, M., Pepin, N., and Dorling, S.: A Regional Lightning
Climatology of the UK and Ireland and Sensitivity to Alternative Detection
Networks, Int. J. Climatol., 42, 7839–7862, https://doi.org/10.1002/joc.7680, 2022. a, b, c, d
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 Single Levels from 1979 to Present, data set,
Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2018. 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. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a, b
Holle, R. D., Cummins, K. L., and Brooks, W. A.: Seasonal, Monthly, and Weekly Distributions of NLDN and GLD360 Cloud-to-Ground Lightning, Mon. Weather Rev., 144, 2855–2870, https://doi.org/10.1175/MWR-D-16-0051.1, 2016. a
Holt, M. A., Hardaker, P. J., and McLelland, G. P.: A Lightning Climatology for Europe and the UK, 1990–99, Weather, 56, 290–296,
https://doi.org/10.1002/j.1477-8696.2001.tb06598.x, 2001. a
Hoyer, S. and Hamman, J.: xarray: N-D Labeled Arrays and Datasets in Python, J. Open Res. Softw., 5, 10, https://doi.org/10.5334/jors.148, 2017. a
Iwasaki, H.: Preliminary Study on Features of Lightning Discharge around Japan using World Wide Lightning Location Network Data, Scient. Online Lett. Atmos., 10, 98–102, https://doi.org/10.2151/sola.2014-020, 2014. a
Kolendowicz, L.: The Influence of Synoptic Situations on the Occurrence of Days with Thunderstorms During a Year in the Territory of Poland, Int. J. Climatol., 26, 1803–1820, https://doi.org/10.1002/joc.1348, 2006. a
Kotroni, V. and Lagouvardos, K.: Lightning in the Mediterranean and its
Relation with Sea-Surface Temperature, Environ. Res. Lett., 11, 034006, https://doi.org/10.1088/1748-9326/11/3/034006, 2016. a, b
MacQueen, J. B.: Some Methods for Classification and Analysis of Multivariate
Observations, in: Proc. of the fifth Berkeley Symposium on Mathematical
Statistics and Probability, vol. 1,edited by: Cam, L. M. L. and Neyman, J.,
University of California Press, 281–297,
https://www.bibsonomy.org/bibtex/25dcdb8cd9fba78e0e791af619d61d66d/enitsirhc
(last access: 19 February 2020), 1967. a
Mäkelä, A., Saltikoff, E., Julkunen, J., Juga, I., Gregow, E., and
Niemelä, S.: Cold-Season Thunderstorms in Finland and Their Effect on
Aviation Safety, B. Am. Meteorol. Soc., 94, 847–858, https://doi.org/10.1175/BAMS-D-12-00039.1, accessed 2022-11-08, 2013. a
Mäkelä, A., Enno, S.-E., and Haapalainen, J.: Nordic Lightning
Information System: Thunderstorm Climate of Northern Europe for the Period
2002–2011, Atmos. Res., 139, 46–61, https://doi.org/10.1016/j.atmosres.2014.01.008, 2014. a, b
Mallick, C., Hazra, A., Saha, S. K., Chaudhari, H. S., Pokhrel, S., Konwar, M., Dutta, U., Mohan, G. M., and Vani, K. G.: Seasonal Predictability of
Lightning Over the Global Hotspot Regions, Geophys. Res. Lett., 49,
e2021GL096489, https://doi.org/10.1029/2021GL096489, 2022. a
Manzato, A., Serafin, S., Miglietta, M. M., Kirshbaum, D., and Schulz, W.: A
Pan-Alpine Climatology of Lightning and Convective Initiation, Mon. Weather Rev., 150, 2213–2230, https://doi.org/10.1175/MWR-D-21-0149.1, 2022. a, b, c
March, V., Montanyà, J., Fabró, F., van der Velde Oscar, Romero, D.,
Solà, G., Freijó, M., and Pineda, N.: Winter Lightning Activity in
Specific Global Regions and Implications to Wind Turbines and Tall
Structures, in: IEEE 2016 33rd International Conference on Lightning Protection (ICLP), 25–30 September 2016, Estoril, Portugal,
https://doi.org/10.1109/ICLP.2016.7791447, 2016. a, b, c
Mardia, K. V., Kent, J. T., and Bibby, J. M.: Multivariate Analysis,
Probability and Mathematical Statistics, in: 10th Edn., Academic Press, London, ISBN 0-12-471250-9, ISBN 0-12-471252-5, 1995. a
Market, P. S., Halcomb, C. E., and Ebert, R. L.: A Climatology of Thundersnow
Events over the Contiguous United States, Weather Forecast., 17, 1290–1295, https://doi.org/10.1175/1520-0434(2002)017<1290:ACOTEO>2.0.CO;2, 2002. a
Matsui, M., Michishita, K., and Yokoyama, S.: Cloud-to-Ground Lightning Flash
Density and the Number of Lightning Flashes Hitting Wind Turbines in Japan,
Elect. Power Syst. Res., 181, 106066, https://doi.org/10.1016/j.epsr.2019.106066, 2020. a
Méndez, Y., Birkl, J., Madsen, S., Sørensen, T., Plumer, J., and
Montanyà, J.: The 2018 Revision of the Standard IEC 61400-24: Lightning
Protection of Wind Turbines, in: 2018 34th International Conference on
Lightning Protection (ICLP), 2–7 September 2018, Rzeszow, Poland,
https://doi.org/10.1109/ICLP.2018.8503411, 2018. a
Montanyà, J., Fabró, F., van der Velde, O., March, V., Williams, E. R., Pineda, N., Romero, D., Solà, G., and Freijo, M.: Global Distribution of Winter Lightning: A Threat to Wind Turbines and Aircraft, Nat. Hazards Earth Syst. Sci., 16, 1465–1472, https://doi.org/10.5194/nhess-16-1465-2016, 2016. a
Pebesma, E.: Simple Features for R: Standardized Support for Spatial Vector
Data, R Journal, 10, 439–446, https://doi.org/10.32614/RJ-2018-009, 2018. a
Pebesma, E.: stars: Spatiotemporal Arrays, Raster and Vector Data Cubes,
R package version 0.4-3, CRAN [code], https://CRAN.R-project.org/package=stars (last access: 7 May 2023), 2020. a
Pierce, D.: ncdf4: Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files, R package version 1.17, CRAN [code], https://CRAN.R-project.org/package=ncdf4 (last access: 7 May 2023), 2019. a
Pineda, N., Montanyà, J., Romero, D., Bech, J., Casellas, E., and
González, S.: Meteorological Aspects of Winter Upward Lightning from an
Instrumented Tower in the Pyrenees, in: 2018 34th International Conference on
Lightning Protection (ICLP), 2–7 September 2018, Rzeszow, Poland, 1–7,
https://doi.org/10.1109/ICLP.2018.8503271, 2018. a
Piper, D. and Kunz, M.: Spatiotemporal Variability of Lightning Activity in
Europe and the Relation to the North Atlantic Oscillation Teleconnection
Pattern, Nat. Hazards Earth Syst. Sci., 17, 1319–1336,
https://doi.org/10.5194/nhess-17-1319-2017, 2017. a
Poelman, D. R.: A 10-Year Study on the Characteristics of Thunderstorms in
Belgium Based on Cloud-to-Ground Lightning Data, Mon. Weather Rev., 142,
4839–4849, https://doi.org/10.1175/MWR-D-14-00202.1, 2014. a
Poelman, D. R., Schulz, W., Diendorfer, G., and Bernardi, M.: The European
Lightning Location System EUCLID – Part 2: Observations, Nat. Hazards Earth Syst. Sci., 16, 607–616, https://doi.org/10.5194/nhess-16-607-2016, 2016. a, b, c, d
R Core Team: R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria,
https://www.R-project.org/ (last access: 7 May 2023), 2021. a
Schulz, W., Cummins, K., Diendorfer, G., and Dorninger, M.: Cloud-to-Ground
Lightning in Austria: A 10-year Study using Data from a Lightning Location
System, J. Geophys. Res.-Atmos., 110, D09101, https://doi.org/10.1029/2004JD005332, 2005. a
Schulz, W., Diendorfer, G., Pedeboy, S., and Poelman, D. R.: The European
Lightning Location System EUCLID - Part 1: Performance Analysis and Validation, Nat. Hazards Earth Syst. Sci., 16, 595–605,
https://doi.org/10.5194/nhess-16-595-2016, 2016. a, b
Schulzweida, U.: CDO User Guide, Zenodo [code], https://doi.org/10.5281/zenodo.3539275, 2019. 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
Simon, T. and Mayr, G. J.: Lightning Climatology for the Eastern Alpine Region on the Kilometer Scale with Daily Resolution, Elektrotech. Informationstech., 139, 352–360, https://doi.org/10.1007/s00502-022-01032-1, 2022. a, b
Simon, T., Umlauf, N., Zeileis, A., Mayr, G. J., Schulz, W., and Diendorfer,
G.: Spatio-Temporal Modelling of Lightning Climatologies for Complex Terrain,
Nat. Hazards Earth Syst. Sci., 17, 305–314, https://doi.org/10.5194/nhess-17-305-2017, 2017. a
South, A.: rnaturalearth: World Map Data from Natural Earth, R package
version 0.1.0, CRAN [code], https://CRAN.R-project.org/package=rnaturalearth (last access: 7 May 2023), 2017. a
Stauffer, R., Mayr, G. J., Dabernig, M., and Zeileis, A.: Somewhere over the
Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations, B. Am. Meteorol. Soc., 96, 203–216, https://doi.org/10.1175/BAMS-D-13-00155.1, 2009. a
Stucke, I., Morgenstern, D., Diendorfer, G., Mayr, G. J., Pichler, H., Schulz, W., Simon, T., and Zeileis, A.: Thunderstorm Types and Meteorological
Characteristics of Upward Lightning, in: 2022 36th International Conference
on Lightning Protection (ICLP), 2–7 October 2022, Cape Town, South Africa,
282–288, https://doi.org/10.1109/ICLP56858.2022.9942489, 2022. a, b, c, d
Takahashi, T., Sugimoto, S., Kawano, T., and Suzuki, K.: Microphysical
Structure and Lightning Initiation in Hokuriku Winter Clouds, J. Geophys. Res.-Atmos., 124, 13156–13181, https://doi.org/10.1029/2018JD030227, 2019. a
Takeuti, T., Nakano, M., Brook, M., Raymond, D. J., and Krehbiel, P.: The
Anomalous Winter Thunderstorms of the Hokuriku Coast, J. Geophys. Res.-Oceans, 83, 2385–2394, https://doi.org/10.1029/JC083iC05p02385, 1978. a
Taszarek, M., Czernecki, B., and Kozioł, A.: A Cloud-to-Ground Lightning
Climatology for Poland, Mon. Weather Rev., 143, 4285–4304,
https://doi.org/10.1175/MWR-D-15-0206.1, 2015. a
Taszarek, M., Allen, J., Púčik, T., Groenemeijer, P., Czernecki, B., Kolendowicz, L., Lagouvardos, K., Kotroni, V., and Schulz, W.: A Climatology
of Thunderstorms across Europe from a Synthesis of Multiple Data Sources,
J. Climate, 32, 1813–1837, https://doi.org/10.1175/JCLI-D-18-0372.1, 2019.
a, b, c
Taszarek, M., Allen, J. T., Groenemeijer, P., Edwards, R., Brooks, H. E.,
Chmielewski, V., and Enno, S.-E.: Severe Convective Storms across Europe and
the United States. Part I: Climatology of Lightning, Large Hail, Severe
Wind, and Tornadoes, J. Climate, 33, 10239–10261, https://doi.org/10.1175/JCLI-D-20-0345.1, 2020a. a, b
Taszarek, M., Allen, J. T., Púčik, T., Hoogewind, K. A., and Brooks, H. E.: Severe Convective Storms across Europe and the United States. Part II: ERA5 Environments Associated with Lightning, Large Hail, Severe Wind, and Tornadoes, J. Climate, 33, 10263–10286, https://doi.org/10.1175/JCLI-D-20-0346.1, 2020b. a
Ukkonen, P. and Mäkelä, A.: Evaluation of Machine Learning Classifiers for Predicting Deep Convection, J. Adv. Model.Earth Syst., 11, 1784–1802, https://doi.org/10.1029/2018MS001561, 2019. a
Unidata: Network Common Data Form (netCDF), UCAR/Unidata, Boulder, CO [code], https://doi.org/10.5065/D6H70CW6, 2020. a
Van Rossum, G. and Drake, F. L.: Python 3 Reference Manual, Python
Documentation Manual Part 2, CreateSpace Independent Publishing Platform,
Scotts Valley, CA, 242 pp., ISBN 978-1-4414-1269-0, 2009. a
Virts, K., Wallace, J., Hutchins, M., and Holzworth, R.: Highlights of a New
Ground-Based, Hourly Global Lightning Climatology, B. Am. Meteorol. Soc., 94, 1381–1391, 2013. a
Vogel, S., Holbøll, J., López, J., Garolera, A. C., and Madsen, S. F.:
European Cold Season Lightning Map for Wind Turbines Based on Radio
Soundings, in: 2016 33rd International Conference on Lightning Protection (ICLP), 25–30 September 2016, Estoril, Portugal, 1–7, https://doi.org/10.1109/ICLP.2016.7791373, 2016. a, b, c
Wang, D., Zheng, D., Wu, T., and Takagi, N.: Winter Positive Cloud-to-Ground
Lightning Flashes Observed by LMA in Japan, IEEJ T. Elect. Electron. Eng., 16, 402–411, https://doi.org/10.1002/tee.23310, 2021. a
Wapler, K.: High-Resolution Climatology of Lightning Characteristics within
Central Europe, Meteorol. Atmos. Phys., 122, 175–184, https://doi.org/10.1007/s00703-013-0285-1, 2013. 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, 2015. a, b
Williams, E.: Lightning Activity in Winter Storms: A Meteorological and Cloud
Microphysical Perspective, IEEJ T. Power Energ., 138, 364–373, https://doi.org/10.1541/ieejpes.138.364, 2018. a
Zhang, W., Zhang, Y., Zheng, D., Xu, L., and Lyu, W.: Lightning Climatology
Over the Northwest Pacific Region: An 11-Year Study Using Data From The World
Wide Lightning Location Network, Atmos. Res., 210, 41–57,
https://doi.org/10.1016/j.atmosres.2018.04.013, 2018. a
Short summary
Two thunderstorm environments are described for Europe: mass-field thunderstorms, which occur mostly in summer, over land, and under similar meteorological conditions, and wind-field thunderstorms, which occur mostly in winter, over the sea, and under more diverse meteorological conditions. Our descriptions are independent of static thresholds and help to understand why thunderstorms in unfavorable seasons for lightning pose a particular risk to tall infrastructure such as wind turbines.
Two thunderstorm environments are described for Europe: mass-field thunderstorms, which occur...
