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Modeling of Lightning Flashes in Thunderstorm Front by Constructive Production of Fractal Time Series

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Advances in Intelligent Systems and Computing IV (CSIT 2019)

Abstract

Using the tools of structural-synthesizing modeling, a set of constructors was developed. Implementing parametric multi-character constructors allows to form fractal sequences of characters. Constructor-converter from the character string to time series creates fractal time series, which determine the location, magnitude and decay rate of lightning discharges. Model video images of lightnings in the thunderstorm front are formed in accordance with the implementation of the constructor-assembler. All constructors are developed on the basis of the generalized constructor that was previously presented and repeatedly tested. The model adequacy of the model is confirmed by comparing the video image of the model with the image, what was obtained by NASA satellite. This approach can be the basis for solving the dynamic problems on lightning protection of engineering constructions and civil objects, and development of strategy of aircraft behavior in order to mitigate the risks of lightning strokes in the conditions of movement in the thunderstorm front.

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References

  1. Rodger, C.J., Werner, S., Brundell, J.B., Lay, E.H.: Detection efficiency of the VLF World-Wide Lightning Location Network (WWLLN): initial case study. Ann. Geophys. 24, 3197–3214 (2006)

    Article  Google Scholar 

  2. Kraaij, T., Cowling, R.M., van Wilgen, B.W.: Lightning and fire weather in eastern coastal fynbos shrublands: seasonality and long-term trends. Int. J. Wildland Fire 22, 288–295 (2013). https://doi.org/10.1071/WF11167

    Article  Google Scholar 

  3. Pack, S., Piantini, A.: Lightning research and lightning protection technology. Electr. Power Syst. Res. 113, 1–2 (2014)

    Article  Google Scholar 

  4. Williams, E.R.: Lightning and climate: a review. Atmos. Res. 76(1–4), 272–287 (2005). https://doi.org/10.1016/j.atmosres.2004.11.014

    Article  Google Scholar 

  5. Yair, Y., Lynn, B., Price, C., Kotroni, V., Lagouvardos, K., Morin, E., Mugnai, A., Llasat, M.d.C.: Predicting the potential for lightning activity in Mediterranean storms based on the Weather Research and Forecasting (WRF) model dynamic and microphysical fields. J. Geophys. Res. 115 (2010). D04205. https://doi.org/10.1029/2008JD010868

  6. Sátoria, G., Williams, E., Lempergeraams, I.: Variability of global lightning activity on the ENSO time scale. Atmos. Res. 91(2–4), 500–507 (2009). https://doi.org/10.1016/j.atmosres.2008.06.014

    Article  Google Scholar 

  7. Devendraa, S., RameshKumara, P., Kulkarnia, M.N., Singhb, R.P., Singhc, A.K.: Lightning, convective rain and solar activity — over the South/Southeast Asia. Atmos. Res. 120–121, 99–111 (2013). https://doi.org/10.1016/j.atmosres.2012.07.026

    Article  Google Scholar 

  8. Galanaki, E., Kotroni, V., Lagouvardos, K., Argiriou, A.: A ten-year analysis of cloud-to-ground lightning activity over the Eastern Mediterranean region. Atmos. Res. 166, 213–222 (2015)

    Article  Google Scholar 

  9. Ahrens, M.: Lightning fires and lightning strikes. In: National Fire Protection Association, Quincy, 31 p. (2013)

    Google Scholar 

  10. Fuchs, B.R., Bruning, E.C., Rutledge, S.A., Carey, L.D., Krehbiel, P.R., Rison, W.: Climatological analyses of LMA data with an open-source lightning flash-clustering algorithm. J. Geophys. Res. Atmos. 121(14), 8625–8648 (2016)

    Article  Google Scholar 

  11. Shynkarenko, V.I., Ilman, V.M.: Constructive-synthesizing structures and their grammatical interpretations. Part I. Generalized formal constructive-synthesizing structure. Cybern. Syst. Anal. 50(5), 655–662 (2014). https://doi.org/10.1007/s10559-014-9655-z

    Article  MATH  Google Scholar 

  12. Shynkarenko, V.I., Ilman, V.M.: Constructive-synthesizing structures and their grammatical interpretations. Part II. Refining transformations. Cybern. Syst. Anal. 50(6), 829–841 (2014). https://doi.org/10.1007/s10559-014-9674-9

    Article  MATH  Google Scholar 

  13. Shynkarenko, V.I., Ilman, V.M., Skalozub, V.V.: Structural models of algorithms in problems of applied programming. I. Formal algorithmic structures. Cybern. Syst. Anal. 45(3), 329–339 (2009). https://doi.org/10.1007/s10559-009-9118-0

    Article  MATH  Google Scholar 

  14. Skalozub, V., Illman, V., Shynkarenko, V.: Development of ontological support of constructive-synthesizing modeling of information systems. Eastern-Eur. J. Enterp. Technol. 6/4(90), 58–69 (2017). https://doi.org/10.15587/1729-4061.2017.119497

    Article  Google Scholar 

  15. Lindenmayer, A.: Mathematical models for cellular interaction in development. J. Theor. Biol. 18, 280–315 (1968)

    Article  Google Scholar 

  16. First Images from GOES-16 Lightning Mapper. https://www.americaspace.com/2017/03/07/goes-16-satellite-returns-first-lightning-mapping-images-like-never-seen-before/. Accessed 11 July 2018

  17. Regional and Mesoscale Meteorology Branch. http://rammb.cira.colostate.edu/ramsdis/online/loop.asp?data_folder=loop_of_the_day/goes-16/20190116000000&number_of_images_to_display=120&loop_speed_ms=100. Accessed 11 July 2018

  18. Regional and Mesoscale Meteorology Branch. http://rammb.cira.colostate.edu/ramsdis/online/loop.asp?data_folder=loop_of_the_day/goes-16/20180815000000&number_of_images_to_display=100&loop_speed_ms=150. Accessed 11 July 2018

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Correspondence to Viktor Shynkarenko , Kostiantyn Lytvynenko , Robert Chyhir or Iryna Nikitina .

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Shynkarenko, V., Lytvynenko, K., Chyhir, R., Nikitina, I. (2020). Modeling of Lightning Flashes in Thunderstorm Front by Constructive Production of Fractal Time Series. In: Shakhovska, N., Medykovskyy, M.O. (eds) Advances in Intelligent Systems and Computing IV. CSIT 2019. Advances in Intelligent Systems and Computing, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-33695-0_13

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