scholarly journals Distinctive Signals in 1‐min Observations of Overshooting Tops and Lightning Activity in a Severe Supercell Thunderstorm

2020 ◽  
Vol 125 (20) ◽  
Author(s):  
Paloma Borque ◽  
Luciano Vidal ◽  
Martín Rugna ◽  
Timothy J. Lang ◽  
María Gabriela Nicora ◽  
...  
Keyword(s):  
Lightning Activity ◽  
Supercell Thunderstorm

CORRELATION OF LOCAL LIGHTNING ACTIVITY WITH EXTRA LOW FREQUENCY DETECTOR FOR SCHUMANN RESONANCE MEASUREMENTS

2021 ◽  
pp. 147671
Author(s):  
G. Tatsis ◽  
A. Sakkas ◽  
V. Christofilakis ◽  
G. Baldoumas ◽  
S.K. Chronopoulos ◽  
...  
Keyword(s):  
Low Frequency ◽  
Lightning Activity ◽  
Schumann Resonance ◽  
Frequency Detector

Seasonal variations of lightning activity over Uttar Pradesh during 1998

2021 ◽  
Author(s):  
M. C. Rao ◽  
N. Umakanth ◽  
T. Satyanarayana ◽  
B. T. P. Madhav
Keyword(s):  
Seasonal Variations ◽  
Uttar Pradesh ◽  
Lightning Activity

scholarly journals High lightning activity in maritime clouds near Mexico

2012 ◽  
Vol 12 (17) ◽  
pp. 8055-8072 ◽  
Author(s):  
B. Kucienska ◽  
G. B. Raga ◽  
R. Romero-Centeno
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Cloud Condensation Nuclei ◽  
Meridional Wind ◽  
Lightning Activity ◽  
Wind Component ◽  
Inter Tropical Convergence Zone ◽  
High Rainfall ◽  
Wind Variability ◽  
Monthly Distribution

Abstract. Lightning activity detected by the World Wide Lightning Location Network (WWLLN) over oceanic regions adjacent to Mexico is often as high as that observed over the continent. In order to explore the possible causes of the observed high flash density over those regions, the relationships between lightning, rainfall, vertical hydrometeor profiles, latent heating, wind variability and aerosol optical depth are analyzed. The characteristics of lightning and precipitation over four oceanic zones adjacent to Mexican coastlines are contrasted against those over the continent. The number of flashes per rainfall over some coastal maritime regions is found to be higher than over the continent. The largest number of flashes per rainfall is observed during the biomass burning season. In addition, we compare two smaller areas of the Tropical Pacific Ocean: one located within the Inter-Tropical Convergence Zone and characterized by high rainfall and weak lightning activity and the other one influenced by a continental wind jet and characterized by high rainfall and strong lightning activity. During the rainy season, the monthly distribution of lightning within the region influenced by the continental wind jet is contrary to that of rainfall. Moreover, the monthly variability of lightning is very similar to the variability of the meridional wind component and it is also related to the variability of aerosol optical depth. The analysis suggests that the high lightning activity observed over coastal Pacific region is linked to the continental cloud condensation nuclei advected over the ocean. Analysis of daily observations indicates that the greatest lightning density is observed for moderate values of the aerosol optical depth, between 0.2 and 0.35.

Predicting lightning activity in Greece with the Weather Research and Forecasting (WRF) model

2015 ◽  
Vol 156 ◽  
pp. 1-13 ◽  
Author(s):  
Theodore M. Giannaros ◽  
Vassiliki Kotroni ◽  
Konstantinos Lagouvardos
Keyword(s):  
Wrf Model ◽  
Lightning Activity ◽  
Weather Research And Forecasting ◽  
Weather Research

scholarly journals Validation of the METEOSAT storm detection and nowcasting system Cb-TRAM with lightning network data – Europe and South Africa

2013 ◽  
Vol 6 (1) ◽  
pp. 1269-1310 ◽  
Author(s):  
T. Zinner ◽  
C. Forster ◽  
E. de Coning ◽  
H.-D. Betz
Keyword(s):  
South Africa ◽  
Thermal Emission ◽  
Climatic Conditions ◽  
Probability Of Detection ◽  
Lightning Activity ◽  
Network Data ◽  
Detection Scheme ◽  
Lightning Detection ◽  
Skill Scores ◽  
Physical Limitations

Abstract. In this manuscript, recent changes to the DLR METEOSAT thunderstorm TRacking And Monitoring algorithm (Cb-TRAM) are presented as well as a validation of Cb-TRAM against the European ground-based LIghtning NETwork data (LINET) of Nowcast GmbH and Lightning Detection Network (LDN) data of the South African Weather Service (SAWS). The validation is conducted along the well known skill scores probability of detection (POD) and false alarm ratio (FAR) on the basis of METEOSAT/SEVIRI pixels as well as on the basis of thunderstorm objects. The values obtained demonstrate the limits of Cb-TRAM in specific as well as the limits of satellite methods in general which are based on thermal emission and solar reflectivity information from thunderstorm tops. Although the climatic conditions and the occurence of thunderstorms is quite different for Europe and South Africa, the quality score values are similar. Our conclusion is that Cb-TRAM provides robust results of well-defined quality for very different climatic regimes. The POD for a thunderstorm with intense lightning is about 80% during the day. The FAR for a Cb-TRAM detected thunderstorm which is not at least close to intense lightning activity is about 50%; if the proximity to any lightning activity is evaluated the FAR is even much lower at about 15%. Pixel-based analysis shows that the detected thunderstorm object size is not indiscriminately large, but well within the physical limitations of the method. Nighttime POD and FAR are somewhat worse as the detection scheme can not use high resolution visible information. Nowcasting scores show useful values up to approximatelly 30 min.

The effect of El Nino and La Nina on lightning activity: its relation with meteorological and cloud microphysical parameters

2016 ◽  
Vol 85 (1) ◽  
pp. 403-424 ◽  
Author(s):  
Anirban Guha ◽  
Trisanu Banik ◽  
Rakesh Roy ◽  
Barin Kumar De
Keyword(s):  
El Niño ◽  
El Nino ◽  
La Niña ◽  
Lightning Activity ◽  
La Nina ◽  
Microphysical Parameters

STATISTICAL ANALYSIS OF LIGHTNING ACTIVITY IN THE NORTH CAUCASUS

2021 ◽  
pp. 112-115
Author(s):  
M. V. Zharashuev ◽  
Keyword(s):  
Statistical Analysis ◽  
Lightning Activity ◽  
Statistical Characteristics ◽  
North Caucasus ◽  
The North

Statistical analysis of lightning activity in the North Caucasus and Stavropol Territory depending on orography is carried out. The statistical characteristics of lightning for the period 2009-2018 on the territory of 173056 km2 were analyzed.

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