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
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)
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
Pack, S., Piantini, A.: Lightning research and lightning protection technology. Electr. Power Syst. Res. 113, 1–2 (2014)
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
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
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
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
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)
Ahrens, M.: Lightning fires and lightning strikes. In: National Fire Protection Association, Quincy, 31 p. (2013)
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)
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
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
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
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
Lindenmayer, A.: Mathematical models for cellular interaction in development. J. Theor. Biol. 18, 280–315 (1968)
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
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
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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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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