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Atmosphere
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Future Trends of Our Atmospheric Electric Environments
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Future Trends of Our Atmospheric Electric Environments

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Upper Atmosphere".

Deadline for manuscript submissions: closed (1 March 2023) | Viewed by 5855

Special Issue Editors

Prof. Dr. Cheng-Ling Kuo

E-Mail Website
Guest Editor
Department of Space Science and Engineering, National Central University, Taoyuan City 320, Taiwan
Interests: atmospheric electricity; space physics
Prof. Dr. Sato Mitsuteru

E-Mail Website
Guest Editor
Faculty of Science, Hokkaido University, Hokkaido 060-0808, Japan
Interests: upper atmospheric physics; atmospheric and space electricity; meteorology

Special Issue Information

Dear Colleagues,

Global climate models have suggested that the frequency of thunderstorms and their intensity are likely to increase in the future. Cloud electrification through microphysics processes should clarify the relationship between faster updrafts and lightning frequency. The meteorology and climatology reanalysis with observation and numerical modeling will improve forecasting of a severely convective system. We should further inspect their causes and effects on lightning activities, transient luminous events (TLEs), and terrestrial gamma-ray flashes (TGFs). Further, some atmosphere drivers, such as their radiated energy and gravity waves, may be involved in coupling with the middle and upper atmosphere through atmospheric transport processes, lightning-related perturbations in the middle/upper atmosphere, temperature changes, gas concentration variations, chemical changes, and coupling processes from the lower atmosphere to the near-earth space environment. We invite papers on topics related to thunderstorms, lightning, and transient luminous events. Enhancing our understanding of future trends or climate change for our atmospheric electric environment is of great interest. This also includes findings dealing with thunderstorm dynamics, lightning statistical studies, observation/campaign on transient luminous events, or airglow/aurora monitoring for tide and gravity wave phenomena. Statistical/case studies on global/regional or rural/urban for lightning/TLEs/TGF trends responding to severe weather conditions or climates changes are of particular interest.

Prof. Dr. Cheng-Ling Kuo
Prof. Dr. Sato Mitsuteru
Guest Editors

Manuscript Submission Information

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Keywords

  • atmospheric electricity
  • thunderstorm
  • lightning
  • transient luminous events
  • terrestrial gamma-ray flash

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Published Papers (2 papers)

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Research

17 pages, 3232 KiB  
Article
Modeling Lightning Activity in the Third Pole Region: Performance of a km-Scale ICON-CLM Simulation
by Prashant Singh and Bodo Ahrens
Atmosphere 2023, 14(11), 1655; https://doi.org/10.3390/atmos14111655 - 5 Nov 2023
Viewed by 2233
Abstract
The Third Pole region, especially the Himalayas, is a lightning hotspot. Predicting lightning activity in this region is difficult due to the complex monsoon and westerly circulations, as well as the complex orography. Km-scale simulations can explicitly, without parameterization, tackle deep convective phenomena. [...] Read more.
The Third Pole region, especially the Himalayas, is a lightning hotspot. Predicting lightning activity in this region is difficult due to the complex monsoon and westerly circulations, as well as the complex orography. Km-scale simulations can explicitly, without parameterization, tackle deep convective phenomena. A year-long (October 2019–September 2020) ICON-CLM simulation was performed with a km-scale horizontal grid spacing of 3.3 km to assess the region’s lightning activity and evaluate the model ICON-CLM. The simulated lightning potential index (LPI) was compared against the lightning proxy CAPE × PREC (CP) derived from ICON-CLM and reanalysis ERA5. In addition, the LPI was evaluated against the TRMM lightning climatology and observed flashes from the International Space Station Lightning Imaging Sensor (ISS-LIS). The LPI reproduced the major spatial, seasonal, and diurnal features of lightning activity as represented in the TRMM climatology. In contrast, the CP from both ICON-CLM and ERA5 performed less well regarding the location of events and the diurnal features. Taking the mean values of the LPI and CP of all the grids within 90 km × 90 km around the ISS-LIS detected lightning event, we found that over 80% of lightning events were recorded using the ICON-CLM simulation. Analysis of individual cases showed that the LPI predicted localization of lightning events better, but flash counts were slightly lower than the CP. Therefore, the combined use of ICON-CLM’s simulated LPI and CP can be a valuable predictor for lightning events over the Third Pole region. Full article
(This article belongs to the Special Issue Future Trends of Our Atmospheric Electric Environments)
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19 pages, 12702 KiB  
Article
Trends and Features of Thunderstorms and Lightning Activity in the Upper Volga Region
by Svetlana Dementyeva, Maria Shatalina, Alena Popykina, Fedor Sarafanov, Mikhail Kulikov and Evgeny Mareev
Atmosphere 2023, 14(4), 674; https://doi.org/10.3390/atmos14040674 - 2 Apr 2023
Cited by 7 | Viewed by 2650
Abstract
An increase in the frequency of atmospheric hazards in a changing climate has attracted interest in the study of regional features of mesoscale convective systems and trends of lightning activity. Severe convective storms are the most destructive weather events causing substantial damage and [...] Read more.
An increase in the frequency of atmospheric hazards in a changing climate has attracted interest in the study of regional features of mesoscale convective systems and trends of lightning activity. Severe convective storms are the most destructive weather events causing substantial damage and fatalities. In this paper, we analyze general trends in the lightning activity in the Upper Volga region and identify the particular features of a severe thunderstorm on 13–14 July 2020. The analysis of the annual variability of the lightning activity in the Upper Volga region, carried out according to the World-Wide Lightning Location Network (WWLLN) data, has shown that the total number of discharges during the convective seasons of 2016–2021 increased. For the convective season of 2020, the daily number of discharges in the neighborhood of Nizhny Novgorod (the center of the region) is calculated according to the WWLLN data and the electric field mill (EFM) measurements. It is revealed that the most powerful (per convective season) thunderstorms have a number of similarities both according to observations and numerical simulation. The thunderstorm on 13–14 July was numerically simulated using the Weather Research and Forecasting (WRF) model in combination with calculations of the electric parameters (such as electric potential and intracloud electric field). The simulations were carried out using two parametrizations of microphysical processes to reveal the features associated with allowance for aerosol particles. The data from the meteorological radar and WWLLN were used to validate the radar reflectivity simulation results of the WRF model. Some features of the thunderstorm evolution characteristic for each of the microphysical parametrizations were identified. In general, the non-aerosol parametrization gives a more correct description of the development of severe thunderstorms in the Upper Volga region (with the exception of the final stage of the convective system development). For a convective event to have the required duration (more than 6 h), aerosol particles should be taken into account. Full article
(This article belongs to the Special Issue Future Trends of Our Atmospheric Electric Environments)
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