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Modern Lightning Location Networks: Global and Regional Aspects

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Abstract

It is necessary to monitor thunderstorm activity and interpret field measurements taking into account regional features to correctly parameterize electrical activity in climate models and high-resolution weather forecast models. In particular, lightning location networks are one of the most important tools used in the analysis of extreme meteorological phenomena with intense electrical activity. Currently, various methods of in situ observations of thunderstorms are widely used: satellite-based optical detection of discharges of discharges and ground-based lightning location. In this paper, the operation of regional lightning location networks and the registration of individual intense thunderstorm events has been analyzed using the example of the observation results of the NNLDN (Nizhny Novgorod Lightning Detection Network) multipoint lightning location network developed at the Institute of Applied Physics, Russian Academy of Sciences, and recording the electromagnetic radiation of lightning from from both nearby and distant thunderstorms in the ranges of 10–100 kHz. The main focus in the study is the analysis of the results of lightning activity observations by the NNLDN network with a regional coverage of 100–300 km and the WWLLN (World Wide Lightning Location Network) network with global coverage. A qualitative coincidence of the thunderstorm hazard maps for 2022 with a greater number of lightning discharges recorded by the NNLDN network has been presented. The long-term statistics of thunderstorms in the studied region for 2015–2022 has been studied. The main regional features of thunderstorm activity within the region have been identified; in particular, the directions of thunderstorm arrival and the locations of areas with high or low thunderstorm hazard of Nizhny Novgorod region have been determined.

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REFERENCES

  1. Adzhiev, A.Kh., Stasenko, V.N., and Tapaskhanov, V.O., Lightning direction finding system in the North Caucasus, Russ. Meteorol. Hydrol., 2013, vol. 38, no. 1, pp. 1–5.

    Article  Google Scholar 

  2. Adzhieva, A.A., Kerefova, Z.M., and Gyatov, R.A., Damage to the territory and objects of the North Caucasus by lightning, Nauka. Innov. Tekhnol., 2020, no. 3, pp. 107–122.

  3. ALWES: Passive thunderstorm direction finding systems. http://www.alwes.ru. Accessed April 5, 2023.

  4. Cummins, K.L. and Murphy, M.J., An overview of lightning locating systems: History, techniques, and data uses, with an in-depth look at the U.S. NLDN, IEEE Trans. Electromagn. Compat., 2009, vol. 51, no. 3, pp. 499–518.

    Article  Google Scholar 

  5. Dementyeva, S., Shatalina, M., Popykina, A., Sarafanov, F., Kulikov, M., and Mareev, E., Trends and features of thunderstorms and lightning activity in the upper Volga region, Atmosphere, 2023, vol. 14, p. 674.

    Article  Google Scholar 

  6. Doplerovskii meteorologicheskii radiolokator DMRL-C. Rukovodstvo po ekspluatatsii v 6 kn. (Doppler Weather Radar DMRL-C. Operating Manual in 6 Books), Moscow: LEMZ, TsIVR, 2011.

  7. Gorlova, I.D., Study of lightning activity by space and ground-based means, in Problemy voenno-prikladnoi geofiziki i kontrolya sostoyaniya prirodnoi sredy: Materialy VI Vserossiiskoi nauchnoi konferentsii (Problems of Military-Applied Geophysics and Monitoring of the State of the Natural Environment: Proceedings of the VI All-Russian Scientific Conference), St. Petersburg: VVA im. A.F. Mozhaiskogo, 2020, pp. 211–213.

  8. Holzworth, R.H., Brundell, J.B., McCarthy, M.P., Jacobson, A.R., Rodger, C.J., and Anderson, T.S., Lightning in the Arctic, Geophys. Res. Lett., 2021, vol. 48, p. e2020GL091366.

  9. Ilin, N.V. and Kuterin, F.A., Accuracy of thunderstorm detection based on DMRL-C weather radar data, Russ. Meteorol. Hydrol., 2020, vol. 45, no. 9, pp. 669–675.

    Article  Google Scholar 

  10. Kang, D., Heath, N.K., Gilliam, R.C., Spero, T.L., and Pleim, J.E., Lightning assimilation in the WRF model (Version 4.1.1): Technique updates and assessment of the applications from regional to hemispheric scales, Geosci. Model Dev., 2022, vol. 15, pp. 8561–8579.

    Article  Google Scholar 

  11. Kononov, I.I., Yusupov, I.E., and Kandaratskov, N.V., Analysis of one-point methods for lightning-discharge passive location, Radiophys. Quantum Electron., 2013, vol. 56, nos. 11–12, pp. 788–800.

    Article  Google Scholar 

  12. Lucas, B.D. and Kanade, T., An iterative image registration technique with an application to stereo vision, in Proceedings of Imaging Understanding Workshop, Washington, D.C., 1981, pp. 121–130.

  13. Mazin, I.P., Khrgian, A.Kh., and Imyanitov, I.M., Oblaka i oblachnaya atmosfera. Spravochnik (Clouds and Cloudy Atmosphere. A Reference Book), Leningrad: Gidrometeoizdat, 1989.

  14. Moskovenko, V.M., Znamenshchikov, B.P., and Zolotarev, S.V., Application of the Vereya-MR lightning direction detection system for the benefit of the Russian electric power industry, Nov. Ross. Elektroenerg., 2012, no. 2, pp. 15–23.

  15. Naccarato, K.P., Pinto, O., Jr., Garcia, S.A.M., Murphy, J.M., Demetriades, N.W.S., and Cramer, J.A., Validation of the new GLD360 dataset in Brazil: First results, in Preprints, International Lightning Detection Conference, Orlando, Fla., 2010. https://www.vaisala.com/sites/default/files/documents/7.Naccarato,%20Pinto,%20Garcia.pdf.

    Google Scholar 

  16. Price, C.G., Lightning applications in weather and climate research, Surv. Geophys., 2013, vol. 34, pp. 755–767.

    Article  Google Scholar 

  17. Rakov, V.A., Electromagnetic methods of lightning detection, Surv. Geophys., 2013, vol. 34, no. 6, pp. 731–753.

    Article  Google Scholar 

  18. Rodger, C.J., Brundell, J.B., Holzworth, R.H., and Lay, E.H., Growing detection efficiency of the World Wide Lightning Location Network, AIP Conf. Proc., 2009, vol. 1118, no. 1, pp. 15–20.

    Article  Google Scholar 

  19. Rudlosky, S.D., Peterson, M.J., and Kahn, D.T., GLD360 performance relative to TRMM LIS, J. Atmos. Oceanic Technol., 2017, vol. 34, no. 6, pp. 1307–1322.

    Article  Google Scholar 

  20. Sarafanov, F.G., Ilin, N.V., and Popykina, A.P., Regional features of thunderstorm activity based on observations by the Nizhny Novgorod Lightning Detection Network, in Proc. SPIE 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2023, p. 127805Z.

  21. Saunders, C.P.R., Charge separation mechanisms in clouds, Space Sci. Rev., 2008, vol. 137, pp. 335–353.

    Article  Google Scholar 

  22. Shatalina, M.V., Ilyin, N.V., and Mareev, E.A., Characteristics of hazardous meteorological phenomena in Nizhny Novgorod based on field observations of the electric field, Meteorol. Gidrol., 2021, no. 6, pp. 107–111.

  23. Snegurov, A.V. and Snegurov, V.S., Comparison of the characteristics of multipoint lightning direction finding systems, Tr. Gl. Geofiz. Obs. im. A.I. Voeikova, 2019, no. 595, pp. 22–62.

  24. Tarabukina, L. and Kozlov, V., Seasonal variability of lightning activity in Yakutia in 2009–2019, Atmosphere, 2020, vol. 11, p. 918.

    Article  Google Scholar 

  25. Tkachev, I.D., Vasiliev, R.V., and Belousova, E.P., Cluster analysis of lightning discharges from Vereya-MR network data, J. Sol.-Terr. Phys., 2021, vol. 7, no. 4, pp. 85–92.

    Google Scholar 

  26. Unnikrishnan, C.K., Pawar, S., and Gopalakrishnan, V., Satellite-observed lightning hotspots in India and lightning variability over tropical South India, Adv. Space Res., 2021, vol. 68, no. 4, pp. 1690–1705.

    Article  Google Scholar 

  27. Vaisala, Total lightning statistics, 2021 Annual Lightning Report, Vaisala, Finland, 2021, pp. 1–40. https://www.vaisala.com/sites/default/files/documents/WEA-MET-2021-Annual-Lightning-Report-B212465EN-A.pdf.

  28. Zhang, D., Cummins, K.L., Lang, T.J., Buechler, D., and Rudlosky, S., Performance evaluation of the lightning imaging sensor on the International Space Station, J. Atmos. Oceanic Technol., 2023, vol. 40, pp. 1063–1082.

    Article  Google Scholar 

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Funding

The development and implementation of the multipoint lightning detection network NNLDN were supported by the Lobachevsky State University of Nizhny Novgorod, State Task no. 0729-2020-0037. Processing and analysis of observation results were supported by the Institute of Applied Physics, Russian Academy of Sciences, State Task no. FFUF-2024-0036.

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Authors and Affiliations

  1. Gaponov-Grekhov Institute of Applied Physics, Russian Academy of Sciences, 603950, Nizhny Novgorod, Russia

    F. G. Sarafanov, M. V. Shatalina, Yu. V. Shlyugaev & E. A. Mareev

  2. Lobachevsky State University of Nizhny Novgorod, 603022, Nizhny Novgorod, Russia

    F. G. Sarafanov & M. V. Shatalina

Authors
  1. F. G. Sarafanov
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  2. M. V. Shatalina
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  3. Yu. V. Shlyugaev
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  4. E. A. Mareev
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Correspondence to M. V. Shatalina.

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Translated by A. Ivanov

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Sarafanov, F.G., Shatalina, M.V., Shlyugaev, Y.V. et al. Modern Lightning Location Networks: Global and Regional Aspects. Izv. Atmos. Ocean. Phys. 61 (Suppl 1), S66–S73 (2025). https://doi.org/10.1134/S0001433825700938

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