Session 1 | Convective storm and tornado dynamics

Session 1

Convective storm and tornado dynamics
Orals
| Tue, 09 May, 11:30–13:00 (EEST), 16:45–18:15 (EEST)|Main Conference Room
Posters
| Attendance Thu, 11 May, 14:30–16:00 (EEST) | Display Wed, 10 May, 09:00–Thu, 11 May, 18:30|Exhibition area
Orals |
Tue, 11:30
Thu, 14:30

Orals: Tue, 9 May | Main Conference Room

11:30–11:45
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ECSS2023-13
Kelly Lombardo, Fan Wu, and Adisen Fenrich

Though tornadoes commonly form in quasi-linear convective systems (QLCSs), predicting their development remains a challenge, due to their rapid formation, relatively short lifetimes as compared to supercell tornadoes, and the likelihood of formation along any segment of the line. Rapid changes in near-surface vertical vorticity associated with QLCS tornadogenesis can result from environmental heterogeneities, including those associated with mountainous landscapes. Mountains can induce variations in stability and vertical wind shear, for example, due to changes in elevation and the configuration of the valleys. Such heterogeneities can influence the evolution of QLCS structures, and thus vertical vorticity. Sloping mountain surfaces can also induce variations in cold pool characteristics and advancement which may further alter storm structural evolutions. Potential systematic linkages between QLCS vertical vorticity and mountains may offer hope toward improved QLCS tornado prediction.

This study leverages idealized numerical simulations to quantify the potential role of mountainous landscapes in the development and evolution of QLCS vertical vorticity. Two different base-state environments are tested, including a profile observed during a QLCS-tornadic event and an analytic profile with several different vertical wind shear configurations. For each base-state environment, we evaluate the sensitivity of QLCS vertical vorticity evolution to a suite of simplified mountain configurations, including a plateau with either a downward or upward sloping surface, each with or without a localized valley of different widths within the sloping surface. Preliminary results indicate that as QLCSs move over a mountain slope with a valley, line echo wave patterns form, which have been associated with QLCS tornado damage. Thus, terrain may be important for the development of QLCS tornadoes through the modification of the linear structure by the underlying irregular surface landscape. Localized valleys also favor CI and the development of intense convective cells, which may increase tornado potential within and near the valley.

How to cite: Lombardo, K., Wu, F., and Fenrich, A.: How Mountains Alter Quasi-linear Convective System Dynamics and Tornado Potential, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-13, https://doi.org/10.5194/ecss2023-13, 2023.

11:45–12:00
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ECSS2023-17
Francesco De Martin, Silvio Davolio, Mario Marcello Miglietta, and Vincenzo Levizzani

Why is the Po Valley a hot spot in Europe for tornadoes? In this study the authors propose an explanation to this issue, studying a tornado outbreak that affected the Po Valley on 19 September 2021. During that event seven tornadoes (four of them ranked as F2 according to the Fujita scale) developed between Lombardia and Emilia-Romagna regions in a few hours. Although tornadoes are not rare in Italy, so many tornadoes in such a short time are an unusual event. 

The case study was analysed by means of observations and numerical simulations obtained with the convection permitting MOLOCH model. Observations showed that during the event there were two low-level boundaries in the Po Valley: a cold front coming from the Alps and a dry line generated by the downslope winds from the Apennines. These two boundaries created a triple point, like those observed during tornado outbreaks in the US MidWest, but on a smaller scale. Observations proved a strong correlation between tornado developments and low-level boundaries.

Numerical simulations with 500 m grid spacing showed that a warm and moist air tongue from the Adriatic Sea played a fundamental role in generating the supercells, causing an advection of vorticity and favouring instability conditions. Moreover, through numerical experiments, it has been proved that this moist air tongue was sensitive to the Froude number of the south-westerly flow from the Apennines: the greater the Froude number, the further north and narrower was the tongue of air, with impacts on the development of supercells. Along the cold front large amounts of streamwise vorticity were generated by the buoyancy gradient. Furthermore, the dry line played a key role in the generation of tornadoes, creating locally large amounts of instability and strong wind veering near the surface: kinematic and windshear parameters were comparable to those observed in US-tornado events only along a narrow path near the dry line. 

Comparing these results with previous papers, the presence of thermal boundaries and dry lines represents a typical pattern during tornado-events in the region. Then, in conclusion, a conceptual model also useful for forecasting applications is proposed for the development of tornadoes in the Po Valley, which explains why tornadoes are relatively common in Northern Italy.

How to cite: De Martin, F., Davolio, S., Miglietta, M. M., and Levizzani, V.: A conceptual model for the development of tornado in the Po Valley, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-17, https://doi.org/10.5194/ecss2023-17, 2023.

12:00–12:15
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ECSS2023-14
Brice Coffer, Matthew Parker, John Peters, and Andrew Wade

In this presentation, we will recap the historical use of storm-relative helicity in supercell environments, share updated climatioglical distributions from both the United States and Europe, and use simulations of supercells (described below) to explain why near-ground streamwise horizontal vorticity within the environment is such a powerful tool for forecasting supercell tornadogenesis across multiple continents.

Low-level mesocyclones in supercell thunderstorms has historically been associated with the development of storm-generated streamwise vorticity along a baroclinic gradient in the forward flank of supercells. However, the ambient streamwise vorticity of the environment (often quantified via storm-relative helicity), especially near the ground, is particularly skillful at discriminating between nontornadic and tornadic supercells. This study investigates whether the origins of the inflow air into supercell low-level mesocyclones, both horizontally and vertically, can help explain the dynamical role of environmental versus storm-generated vorticity in low-level mesocyclone intensification. Simulations of supercells, initialized with wind profiles common to supercell environments observed in nature, show that the air bound for the low-level mesocyclone primarily originates from the undisturbed, ambient environment, rather than from along the forward flank, and from very close to the ground, often in the lowest 200 - 400 m of the atmosphere. Given that the near-ground environmental air comprises the bulk of the inflow into low-level mesocyclones, this likely explains the forecast skill of environmental streamwise vorticity in the lowest few hundred meters of the atmosphere. Contrary to prior conceptual models of low-level mesocyclones, intensification does not appear to require the development of additional horizontal vorticity in the forward flank. Instead, the dominant contributor to vertical vorticity within the low-level mesocyclone is from the environmental horizontal vorticity. This study therefore supports a revised view of low-level mesocyclones in supercells.

How to cite: Coffer, B., Parker, M., Peters, J., and Wade, A.: Supercell low-level mesocyclones: Origins of inflow and vorticity, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-14, https://doi.org/10.5194/ecss2023-14, 2023.

12:15–12:30
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ECSS2023-100
Ty J. Buckingham, David M. Schultz, Paul M. Markowski, and Robert J. Trapp

Nine tornado outbreaks (days with three or more tornadoes) have occurred in the United Kingdom from quasi-linear convective systems in the 16 years between 2004 and 2019. Of the nine outbreaks, eight can be classified into two archetypes: type 1 and type 2. Simulations of each archetype were performed to determine vortex genesis mechanisms. In a type 1 event, a vortex sheet broke down into near-equally spaced misovortices, whereas in a type 2 event, disorganized, elongated cyclonic–anticyclonic couplets evolved into a small number of misovortices. The assessment of Rayleigh's and Fjörtoft's instability criteria, along with misovortices having a wavelength of about 7.5 times the width of the shear zone, implied horizontal shearing instability (HSI) was the initial mechanism for the amplification of perturbations along the vortex sheet in the type 1 event. Vorticity-tendency analysis also revealed near-equally spaced localized horizontal advection maxima prior to the growth of perturbations in the type 1 event, further reinforcing HSI as a plausible mechanism. Deformation was not strong enough to suppress vortex growth. In contrast, the type 2 event did not satisfy either criteria. Parcels acquired vertical vorticity differently dependent on the location and the height that they entered the misovortex. In the type 1 event, parcels entering the misovortex at lower heights experienced varying magnitudes of stretching and tilting, whereas tilting was considerably stronger at greater heights. In the type 2 event, parcels entering the misovortex from the leading edge of the misovortex acquired the majority of their vertical vorticity via both tilting and stretching, and parcels entering the misovortex from the trailing edge acquired the majority of their vertical vorticity via stretching. These results suggest two possible mechanisms for misovortex genesis in UK tornado outbreaks: type 1 where HSI initiates the vortices and type 2 that form from vorticity couplets along the front not formed from HSI.

How to cite: J. Buckingham, T., M. Schultz, D., M. Markowski, P., and J. Trapp, R.: Two Archetypes of Tornadic Quasilinear Convective Systems in the United Kingdom: Vortex Genesis and Maintenance, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-100, https://doi.org/10.5194/ecss2023-100, 2023.

12:30–12:45
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ECSS2023-108
Lisa Schielicke, George Pacey, Christoph Gatzen, and Stephan Pfahl

Squall lines are mesoscale lines consisting of numerous convective cells with an along-line extent of at least 100 km and a smaller across-line extent on the order of tenths of kilometers. Typically, squall lines form in a sheared environment by interactions of convective cells that are near to each other. Over time, the convective cells form a continuous cold pool that drives the motion of the squall line.

Initiating single convective cells in a sheared environment leads to the production of vertical vorticity due to tilting. Hence, these cells are connected to positive and negative vertical vorticity patches. While a squall line forms a band of positive and negative vorticity patches along the line, single cells will form a vorticity dipole.

In this work, we investigate the interaction between squall lines and convective cells initiated in the vicinity of the squall line. This interaction can be understood as an interaction between different vortices. We study different configurations using (1) idealized simulations with the non-hydrostatic, convection-permitting Cloud Model 1 (CM1) and (2) a theoretical point vortex model representative of the vorticity ensembles.

Squall line simulations with CM1 are initially run for 3 hours until a mature squall line forms. After 3 hours, convective cells are initiated at different positions near the squall line. The impact of the convection on the squall line is studied by an analysis of the squall line intensity and motion. In addition, the setup is studied using a point vortex model of a comparable vortex ensemble. A point vortex model is an idealized, mathematical model that describes vortex dynamics of a two-dimensional, non-divergent, inviscid atmosphere. Despite these strong limitations, it can be used to understand vortex dynamics and interactions in a relatively simple, but descriptive way. Moreover, the model describes well the vortex dynamics on the larger, synoptic scale. For example, a vortex couple of zero total circulation with the positive vortex south of the negative one starts to move towards the west which counteracts the typical westerly flow of the midlatitudes and, hence, leads to a slowed-down motion of the couplet compared to the westerlies.

The general aim of this work is to better understand the interaction between single cells and convective lines. The results will contribute towards improved squall line forecasting.

How to cite: Schielicke, L., Pacey, G., Gatzen, C., and Pfahl, S.: Idealized study of the interaction between squall lines and convective cells, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-108, https://doi.org/10.5194/ecss2023-108, 2023.

12:45–13:00
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ECSS2023-122
George Pacey, Stephan Pfahl, and Lisa Schielicke

While convection commonly initiates along synoptic-scale cold fronts during the European warm-season, rarely does convection initiate along the entirety of the boundary. This indicates smaller-scale processes, e.g., solar heating, outflow boundaries and topography, are likely responsible for the spatial and temporal onset of convective initiation. Interactions between the frontal circulation and such smaller-scale processes are not currently well-understood. Our cold-frontal convective cell climatology highlighted convective cells are most frequent marginally ahead of the surface front. On the other hand, pre-surface-frontal cells have the largest fraction associated with mesocyclones, intense convective cores and lightning. Pre-surface-frontal convergence lines, which have been observed to be linked to the western edge of elevated mixed layer plumes, could play a role in these larger cell intensity fractions.

Here we train a logistic regression model for cold-frontal convective cells based on thermodynamic and dynamic variables derived from ERA5 and assess its performance based on the area under the ROC curve (AUC). The logistic regression model exhibits high skill (AUC~0.90) but the model performance is not consistent across the cold-frontal environment. The highest model skill is for cells in the drier and cooler post-frontal airmass, whereas the lowest is for cells near the surface front. This highlights the complexity of smaller-scale processes favouring the development of convective cells near to the surface front. To further understand the underlying processes and multi-scale interactions responsible for convection initiation and cell evolution in cold-frontal environments we analyse case studies of interest in the Central European domain. We will also use these case studies to study up-scale feedbacks on the frontal structure caused by convective cells. This is an important step towards a more comprehensive understanding of scale interactions between cold fronts and convection.

How to cite: Pacey, G., Pfahl, S., and Schielicke, L.: Towards a deeper understanding of the scale interactions between cold fronts and convection during the European warm-season, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-122, https://doi.org/10.5194/ecss2023-122, 2023.

Lunch break
16:45–17:00
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ECSS2023-111
Karen Kosiba and Josh Wurman

Our knowledge of tornadogenesis, evolution, and structure has advanced substantially with the increase in computing resources and the availability of fine temporal- and spatial- scale observations.  Even so, many questions/hypotheses remain observationally unconfirmed/untested.  These include: the role of secondary rear-flank downdraft surges in the tornado genesis/maintenance process, the mechanisms of the generation of horizontal vorticity (ωh) and its transformation into tornado-strength near-surface vertical vorticity (ζ), how the evolution of the low-level mesocyclone relates to tornadogenesis, evolution and dissipation, the variability of tornado wind speeds with height and time, and how tornado intensity, propagation speed and structure, including variations in wind with height and time, affect human-impacting damage.  The degree to which the answers to these questions vary depending on the strength, size, structure, and persistence/duration of tornadoes is unknown.  

Answering these critical questions relating to the evolution of ζ, the role of downdrafts, updrafts, and baroclinic zones depends on the diagnosis of kinematically important quantities involving vector wind fields such as Div(V), vertical velocity (w), ωh and ζ, and tilting/stretching of ωh and ζ.  In tandem with DOW radar deployments, surface weather stations (Pods) have been utilized in many DOW tornado missions for well over a decade, obtaining not only surface wind data, but surface thermodynamic data, as well.  These integrated observations have been collected over a wide range of tornado structures and at various times in tornado evolution.  Results will be presented from analyses of multiple cases with both low-level DOW radar and surface thermodynamic data.  Preliminary observations suggest that there is a distinct and localized change in the near-field thermodynamics during tornado evolution over short time and spatial scales, which suggest changes in storm processes.     

Plans for the proposed 2023-2024 BEST (Boundary-layer Evolution and Structure of Tornadoes) project, focusing on characterizing the thermodynamic and kinematic structure of tornadoes below 100 m AGL, especially below 50 m AGL, using proximate DOW radars, PODNet, and Driftersondes from the University of Illinois Flexible Array of Radars and Mesonets (FARM) will be presented.

 

How to cite: Kosiba, K. and Wurman, J.: Tornado Thermodynamics Observations and the Boundary-layer Evolution and Structure of Tornadoes (BEST) Study, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-111, https://doi.org/10.5194/ecss2023-111, 2023.

17:00–17:15
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ECSS2023-51
Monika Feldmann, Richard Rotunno, Urs Germann, and Alexis Berne
While supercell thunderstorms are one of the most severe convective phenomena, their behavior in complex terrain is still poorly understood.
Observational studies in the Southern Alps have revealed local supercell "hotspots" associated with valleys with large lakes. With a newly developed radar-based, mesocyclone-detection algorithm, the occurrence and evolution of supercell thunderstorms in the Alpine region were characterized. That study highlights the influence of orography on both storm intensity and occurrence frequency. To disentangle the different influential factors, an idealized modeling framework is established using the mesoscale model CM1. In different modeling experiments the key characteristics of this region have been generalized. The modeling scenarios are based on a high-CAPE environment with unidirectional shear, where a warm bubble serves to initiate the convection.  Mimicking the environment of the southern Prealps in central Europe, scenarios with a high mountain ridge, valleys and lakes are explored. Varying both the topographic features and the initial conditions permits the investigation of the individual impact of slopes, valleys and moisture sources.
The dynamic and thermodynamic impact of mountain valleys with lakes increases the range of atmospheric conditions that supports supercellular development through horizontal vorticity production and maintenance of high equivalent potential temperature. This influence results in a systematic location dependence of the frequency, intensity and lifetime of supercells, as also found in observations.

How to cite: Feldmann, M., Rotunno, R., Germann, U., and Berne, A.: Supercell thunderstorms in complex topography - how lakes in mountain valleys can increase occurrence frequency, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-51, https://doi.org/10.5194/ecss2023-51, 2023.

17:15–17:30
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ECSS2023-94
John M Peters

Convective available potential energy (CAPE), when considered by itself, is not a skillful discriminator of tornadic supercells from their nontornadic counterparts.  However, there is a longstanding notion that large CAPE may allow strong-to-violent tornadoes to occur in environments with otherwise weak vertical wind shear.  There is also anecdotal evidence that the largest tornadoes often occur on days with moderate-to-extreme CAPE.  These notions and anecdotes prompt us to ask whether large CAPE is conditionally supportive for significant tornado formation?

We use a matrix of large-eddy simulations of supercells to address this question, wherein the vertical wind shear and the magnitude and vertical distribution of CAPE are independently varied.  Our analysis of these simulations identifies two influences of CAPE on storm evolution that potentially facilitate both tornadogenesis, and the formation of large and intense tornadoes.  Large CAPE generally fostered more negatively buoyant and expansive cold pools.  In environments with strong shear and low-level storm-relative flow, a more negatively buoyant rear-flank downdraft amid large CAPE fortified the rear-flank convergence zone beneath the updraft, leading to a more efficient projection of initially horizontal streamwise vorticity into the vertical.  This led to more intense mesocyclones and tornadoes, when compared to simulations with the same wind profile but smaller CAPE.  In environments with weak vertical wind shear and large CAPE, storms were more resistant to the negative effects of entrainment and thereby more prone to sustaining mesocyclones and producing tornadoes, when compared to environments with both weak shear and CAPE.  We argue that these processes explain past anecdotes about the role of CAPE in tornadogenesis.

How to cite: Peters, J. M.: Does big CAPE equate to big tornado potential in supercell thunderstorms?, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-94, https://doi.org/10.5194/ecss2023-94, 2023.

17:30–17:45
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ECSS2023-65
Gerrit Holl

An accurate assessment of atmospheric water vapour is useful for the nowcasting of thunderstorms and heavy precipitation. Meteosat Third Generation (MTG) will offer new possibilities with the Flexible Combined Imager (FCI) channel at 0.91 µm for low level moisture and geostationary sounding using the Infra-Red Sounder (IRS), in addition to the "classic" water vapour imaging channels at 6.3 µm and 7.3 µm. Water vapour profiles offer better utility for nowcasting than integrated or single-level products. Profiles allow for the calculation of stability parameters such as Convective Available Potential Energy (CAPE) and Convective Inhibition (CIN). They are regularly derived from radiosondes, satellite sounding, and numerical weather prediction (NWP). However, radiosonde measurements are expensive and sparse; satellite soundings have a limited vertical resolution and are relatively poor in the boundary layer; and forecasts have inherent uncertainties compared to measurements.

This study looks into the value of total precipitable water (TPW) measurements from ground-based Global Navigational Satellite Systems (GNSS) in combination with satellite soundings and images. Central Europe has a dense network of GNSS stations with hourly measurements. Although GNSS cannot measure profiles, TPW measurements (calculated from bending angles) are highly accurate. When the NWP forecast sounding disagrees with the satellite sounding and no radiosonde sounding is available, GNSS TPW may help to assess which profile is more consistent with TPW and may be more accurate for CAPE or CIN. In addition, the study looks into the added value of the reflectance at 0.91 µm. Note that this study is still in its early stages and any results presented are highly preliminary. While waiting for FCI and IRS measurements, OLCI and IASI are used as proxies.

How to cite: Holl, G.: Can GNSS help satellite measurements for thunderstorm nowcasting?, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-65, https://doi.org/10.5194/ecss2023-65, 2023.

17:45–18:00
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ECSS2023-69
Davide Panosetti, Christopher Allen, Yaqubi Obaidullah, and Orane Thollon

Hail is by far the greatest contributor to insured losses from severe convective storms on an annual basis. Individual severe convective storm outbreaks can cause hail losses well above EUR 1 bn. On 19-22 June 2022 a series of such events impacted France, and in particular the large metropolitan region of Ile-de-France. There were many reports of large hailstones, causing significant damage to property and motor vehicle. Total insured hail loss estimates in France alone exceeded EUR 2.4 bn, of which EUR 1.34 bn of property loss and EUR 1.08 bn of motor vehicle loss. These were the largest hail events in France in terms of losses since Storm Ela’s, which on 9-10 June 2014 resulted in insured hail losses in excess of 900 mn in 2021 EUR.

Common denominator to these two impactful events were persistent meteorological situations conducive to large-scale severe convective storms for several consecutive days. These compounded with local conditions favorable for the development of severe hail. Maximum hailstone sizes of 12 cm in diameter were observed in the administrative regions of Centre-Val-De-Loire (Ela) and Occitanie (June 2022). In this study we present a reconstruction of these events based on eye-witness event reports from ESWD and a local provider cross-referenced with weather radar data. We analyze the synoptic configurations and pre-convective environments that characterized them, with focus on those properties and features that are peculiar to severe hail-forming thunderstorms. We discuss in particular different formulations of CAPE and vertical wind shear, as well as the performance of the Significant Hail Parameter (SHiP) as predictor for severe hail occurrence. These event reconstructions are part of our effort to construct a Realistic Disaster Scenario (RDS) model for France and Belgium to stress test both individual client portfolios and the market as a whole.

How to cite: Panosetti, D., Allen, C., Obaidullah, Y., and Thollon, O.: Severe hail in France: reconstruction of Storm Ela’s and June 2022 hailstorms, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-69, https://doi.org/10.5194/ecss2023-69, 2023.

18:00–18:15
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ECSS2023-40
Bilyana Kostashki, Rosen Penchev, and Guergana Guerova

The Knowledge of the development of the severe thunderstorms is crucial for improvement of weather forecasts which are provided to air traffic control (ATC) units. Intense thunderstorms, strong winds and hazards such as severe turbulence and icing, lightning activity, microbursts, and hail are very important for the aviation safety.

The present work focuses on the study case of atmospheric conditions preceding and during the development of unusual severe convection over southeast Bulgaria on 17th September 2022. when the squall line passed through the airport of Burgas bringing a lot of damage to the airport and surrounding towns.

On this days the weather was dominated by the presence of a very unstable air mass over Southeast Bulgaria, ahead of the atmospheric frontal zone. As convection continued its development, it moved east/northeast forward Burgas with overshooting cloud top height up to 14 km, cloud top temperature of -70C and maximum radar reflectivity of 60 dBz. In the late afternoon the process led to formation of gust front that reached the Burgas airport with the record for the past 50 years wind speed exceeding 45 m/s that damaged the mast of the airport's instrument landing system. At the same time heavy rain and intense lighting activity are reported. For analysis of the severe weather conditions are used weather satellite, radar and lightning data, Mode-S aircraft wind data and surface observations. In addition, information provided by the ground based Global Navigation Satellite System (GNSS) network is used. Integrated water vapor shows a sharp increase several hours before the convection developed. As moisture is one of the main ingredients for intense thunderstorms formation, GNSS tropospheric products are used together with other surface data to help the process of deep convection monitoring and forecasting.

How to cite: Kostashki, B., Penchev, R., and Guerova, G.: Severe convection event in southeast of Bulgaria on 17th September 2022, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-40, https://doi.org/10.5194/ecss2023-40, 2023.

Posters: Thu, 11 May, 14:30–16:00 | Exhibition area

Display time: Wed, 10 May, 09:00–Thu, 11 May, 18:30
P1
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ECSS2023-53
Lukas Josipovic, Christian Berndt, and Ulrich Blahak

Object-based cell detection and tracking algorithms are widely used to assist meteorological forecasters in their decision-making regarding severe weather warnings. In many approaches, the extrapolation of current storm movement delivers a forecast of future cell position for lead times from five to 120 minutes. However, most operational nowcasting algorithms do not make predictions about the life cycle of storms, although information about cell weakening, intensification, or the general lifetime might be beneficial with regard to meteorological warnings. Prediction of storm life-cycle is not straightforward and involves large uncertainties, as recent research has shown. We aim at using probabilistic machine learning approaches to learn life-cycle information from past storm data and incorporate their prediction and its corresponding uncertainty into an object-based ensemble prediction system.

In a first concept, we identified maximum future storm severity as well as storm lifetime as the important characteristics to be included in the object-based ensemble nowcasting approach. We carried out a cross validation based on a 5-year recalculation of DWD’s object-based nowcasting system KONRAD3D including atmospheric storm environment from NWP model data. Cross validation shows that prediction techniques based on decision trees, i.e. random forest (RF) and gradient boosting (GB) are able to deliver a reasonable performance. For maximum storm severity, both methods do outperform a persistence forecast assuming no future change of current cell severity. Due to the sparse occurrence of long-lasting storms, prediction of cell lifetime is more difficult and the corresponding uncertainty is larger. Quantile regression variants of RF and GB are useful to quantify uncertainty based on current storm attributes and atmospheric environmental conditions and might be a useful base for the generation of an object-based ensemble nowcasting system.

KONRAD3D-EPS, the current ensemble prediction system under development within the project SINFONY (Seamless INtegrated FOrecastiNg sYstem) at the German Meteorological Service, uses a horizontally flipped parabola to model the life-cycle of storm cells in terms of their severity. Each member is initialized by drawing from parameterized distributions of storm lifetime and maximum severity. The improvement presented here uses quantile regression GB predictions to initialize the ensemble in order to adjust the spread depending on the given meteorological situation. In addition to machine learning results, we will present basic functionalities of KONRAD3D-EPS and show the conceptual overview on how to combine it with machine learning predictions.

How to cite: Josipovic, L., Berndt, C., and Blahak, U.: Estimation of storm life-cycle by machine learning to enhance ensemble nowcasting of cell objects, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-53, https://doi.org/10.5194/ecss2023-53, 2023.

P2
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ECSS2023-76
Giuseppe Cipolla, Dario Treppiedi, Antonio Francipane, and Leonardo Valerio Noto

Nowadays, studying heavy rainfall events, characterized by significant rainfall depth concentrated in short durations, and by the presence of lightning, downbursts, and hail, is extremely important. The increasing attention to these phenomena is due to the fact that they may determine serious impacts on the population, economic activities, and the environment. Among heavy rainfall events, high-intensity and short-duration ones, are usually associated with the occurrence of convective cells.

Since these events have been occurring in a more frequent way over the last two decades as a climate change effect and the Mediterranean area is considered one of the most prone areas to this type of event, this study focuses on the identification of heavy rainfall over Sicily, i.e., the biggest island of the Mediterranean Sea. The high-resolution rainfall time series (i.e., 10 minutes) here analyzed have been collected by the rain gauge network of the Servizio Informativo Agrometeorologico Siciliano (SIAS) within the period 2002 - 2021.

Given that convective cells are usually characterized by high lightning activity, their detection has been carried out by means of a lightning dataset of Blitzortung, providing the location and time of lightning strikes for all of Europe on a daily scale since 2015. To reach this goal, different searching radii centred on the rain gauges and some conditions to weigh the distance between lightning strikes to the gauge, have been considered. This allowed exploring how far the lightning activity developed from the rain gauge, where rainfall is recorded.

The detection of convective precipitation through lightning data has been then improved by using some reanalysis data, such as the Convective Available Potential Energy (CAPE), and the K-Index, from the ERA-5 database of the European Centre for Medium-Range Weather Forecasts (ECMWF). 

How to cite: Cipolla, G., Treppiedi, D., Francipane, A., and Noto, L. V.: Identification of convective precipitation events through lightning data in a Mediterranean area, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-76, https://doi.org/10.5194/ecss2023-76, 2023.

P3
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ECSS2023-92
Matthew Kumjian, Kelly Lombardo, Brice Coffer, and Johannes Dahl

A defining feature of supercells is the mesocyclone, which has been implicated in facilitating updraft maintenance and strength, as well as tornado and hail production. But what, exactly, is a mesocyclone?

Popular textbooks define the mesocyclone as a “region of vertical vorticity with a characteristic width of 3-8 km and magnitude O(10-2 s-1)” (Markowski and Richardson 2010), or a “cyclonically rotating vertical vortex with typical diameters ~5 to 6 km” with tangential windspeeds of “several 10s of m s-1,” and typical vertical vorticity of 0.01 s-1 (Trapp 2013). The American Meteorological Society’s Glossary defines the mesocyclone as a “cyclonically rotating vortex, around 2-10 km in diameter, in a convective storm,” with a vertical vorticity threshold of >0.01 s-1. These definitions also indicate persistence and depth through a significant fraction of the updraft as important factors (e.g., Doswell and Burgess 1993). Using these definitions, however, many high-resolution supercell simulations would fail to generate a “mesocyclone.” Often, only a “vortex segment” – and not a closed vortex – is present (e.g., Dahl 2017). Further, such simulations often reveal noisy vertical vorticity fields lacking broad, coherent regions meeting the thresholds above.

In practice, mesocyclones are detected using Doppler radar. In particular, mesocyclones are identified when cyclonic azimuthal shear thresholds are met (often with temporal and depth criteria, too). However, such measurements are incapable of unambiguously determining the presence of a vortex, and provide only a proxy for vertical vorticity. Further, a single Doppler radar generally offers no information on the updraft’s boundaries. Thus, many of the defining characteristics mesocyclones are not actually detectable operationally.

In this presentation, we seek discussion from the community of whether an improved, dynamical definition for a mesocyclone is needed, how to reconcile such a definition to make it applicable to both simulations and radar observations, and to solidify ambiguities in the terminology of "low-" and "midlevel" mesocyclones.

We also offer an interactive activity: go to the link below and identify the coordinates (x, y) of the mesocyclone center and its diameter for the two images provided on that webpage. We will report on the results at the conference. 

https://forms.gle/FEKNWZe6mkcLcWpS6

 

How to cite: Kumjian, M., Lombardo, K., Coffer, B., and Dahl, J.: What is a Mesocyclone?, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-92, https://doi.org/10.5194/ecss2023-92, 2023.