Relationships between the Structure of Convective Clouds and Lightning Frequency Derived from Radiophysical Measurements

Sin’kevich, A. А.; Mikhailovskii, Yu. P.; Matrosov, Sergey Y.; Popov, V. B.; Snegurov, V. S.; Snegurov, A. V.; Dovgalyuk, Yu. A.; Veremei, N. E.

doi:10.3103/s1068373919060049

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…These precepts were the motivation to study the relation between lightning frequency and cloud volumes with different (but strong) reflectivities. Previous investigations have shown that the greatest correlation with lightning frequency has been observed for the cloud volumes with reflectivity greater than 35 dBZ, though in some cases this was from 40 to 50 dBZ [29,30,33].…”

Section: Thundercloud Reflectivity and Supercooled Volumementioning

confidence: 88%

“…Detailed information about projects where data were obtained and summaries of the Cu characteristics observed in each case were presented in earlier publications [1,[29][30][31][32][33][34][35][36][37][38][39]. All lightning flashes, which were detected in a cloud during a radar scan, were counted and the average frequency for a scan in min −1 was determined.…”

Section: Observationsmentioning

confidence: 99%

“…The first group includes four Cb which were studied in northwestern Russia in the vicinity of St. Petersburg (lat/lon ~60 • /30 • ). These were Cb which developed during warm periods in the vicinity of the city: thunderstorm with hail, 22 July 2017 [33,36]; thunderstorm with waterspout over the Gulf of Finland, 12 August 2018 [30,35]; thunderstorm with waterspout over Ladoga Lake, 6 August 2018 [29]; thunderstorm with hail near Petrokrepost, 25 May 2017. In total, 23 radar scans at the moment of LF flashes were under consideration.…”

Section: Observationsmentioning

confidence: 99%

“…Lightning locations from multiple systems were used, including the lightning location network (LLN), which uses 4 Vaisala LS8000 sensors in the north Caucasus region of Russia [31]; the Blitzortung network in northwestern Russia [33]; Beijing Lightning Network (BLNET) in China [42]; Lightning Information and Prediction System (LIPS) in India (https://www.tropmet.res.in/~lip/annual-reports/AR-English-2013-14.pdf; accessed on 9 August 2021).…”

Section: Radars and Lightning Detection Networkmentioning

confidence: 99%

“…Data Availability Statement: Detailed information about projects where data were obtained and summaries of the Cu characteristics observed in each case were presented in our earlier publications [1,[29][30][31][32][33][34][35][36][37][38][39].…”

Section: Fundingmentioning

confidence: 99%

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Investigation of Thundercloud Features in Different Regions

et al. 2021

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A comparison of thundercloud characteristics in different regions of the world was conducted. The clouds studied developed in India, China and in two regions of Russia. Several field projects were discussed. Cloud characteristics were measured by weather radars, the SEVERI instrument installed on board of the Meteosat satellite, and lightning detection systems. The statistical characteristics of the clouds were tabulated from radar scans and correlated with lightning observations. Thunderclouds in India differ significantly from those observed in other regions. The relationships among lightning strike frequency, supercooled cloud volume, and precipitation intensity were analyzed. In most cases, high correlation was observed between lightning strike frequency and supercooled volume.

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Section: Thundercloud Reflectivity and Supercooled Volumementioning

confidence: 88%

Section: Observationsmentioning

confidence: 99%

Section: Observationsmentioning

confidence: 99%

Section: Radars and Lightning Detection Networkmentioning

confidence: 99%

Section: Fundingmentioning

confidence: 99%

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Investigation of Thundercloud Features in Different Regions

et al. 2021

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Linking the storm cells position and high values of instability indices – a case study in the southeast of Western Siberia

Nechepurenko

Gorbatenko

Константинова

et al. 2020

J. Phys.: Conf. Ser.

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Improving the identification accuracy of spatial distribution of hazardous convective phenomena has relevant meaning for territories are not covered by lightning detection systems. We perform comparison on set of instances of registered lightning discharges by a Boltek single-point lightning detector with spatial instability fields. To determine the areas of atmospheric instability over the southeast of Western Siberia, Total Totals and K-index have been used. Values for the indices were calculated from balloon sounding data and ERA5 reanalysis. The results demonstrate an acceptable spatial agreement between the fields with high instability indices according to ERA5 reanalysis data and actual positions of thunderstorm cells. A validation of ERA5 indices values with upper-air data showed that a smaller consistency error correspond to Total Totals index. Therefore, to predict the spatial position of convective clouds producing thunderstorms over the southeast of Western Siberia, it is promising to use Total Totals index, which is calculated using either aerological measurements or satellite remote sensing data.

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Empirical model of the development of electrification process in convective clouds

Mikhailovskii

Sin’kevich

Abshaev³

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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Results of the development of an empirical model of Cu electrification process are presented. A first part of the paper presents the initial stage of Cu organized electrization. It is based on aircraft investigations. The second part presents Cu characteristics during transition to thundercloud. It is based on the results of 100 experiments, where radar and lightning detection system LS8000 were used. The results confirm the crucial role of ice particles in the process of electrification of the convective cloud at all stages of its development.

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Relationships between the Structure of Convective Clouds and Lightning Frequency Derived from Radiophysical Measurements

Cited by 11 publications

References 9 publications

Investigation of Thundercloud Features in Different Regions

Investigation of Thundercloud Features in Different Regions

Linking the storm cells position and high values of instability indices – a case study in the southeast of Western Siberia

Empirical model of the development of electrification process in convective clouds

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