Atmospheric and Oceanic Optics

, Volume 31, Issue 6, pp 685–689 | Cite as

Comparative Analysis of Electric State of Surface Air Layer during Passage of Cumulonimbus Clouds in Warm and Cold Seasons

  • K. N. PustovalovEmail author
  • P. M. Nagorskiy
Optical Models and Databases


Data from monitoring electrical field in the surface air layer in Tomsk in 2006–2017 are used to study their slow variations associated with the passage of cumulonimbus (Cb) clouds and accompanying weather phenomena in the warm and cold seasons. A total of 453 and 210 episodes for warm and cold seasons, respectively, were considered. Slow variations in the gradient of electric field potential are statistically analyzed. The distribution of the total duration of slow variations in the gradient of potential is shown to be well described by the power-law distribution (Pareto distribution). This distribution is approximated by two-segment line in the warm season, and one-segment line, in the cold season.


atmospheric electricity cumulonimbus clouds shower precipitation surface air layer 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    N. P. Tverskoi, Atmospheric Elictricity (Gidrometeoizdat, Leningrad, 1949) [in Russian].Google Scholar
  2. 2.
    J. A. Chalmers, Atmospheric Electricity (Pergamon Press, Oxford, 1967), 2nd ed.Google Scholar
  3. 3.
    K. N. Pustovalov and P. M. Nagorskii, “The main types of electric field variations during the passage of cumulonimbus clouds of different genesis,” Opt. Atmos. Okeana. 29 (8), 647–653 (2016).Google Scholar
  4. 4.
    A. X. Filippov, Thunderstorms in Eastern Siberia (Gidrometeoizdat, Leningrad, 1974) [in Russian].Google Scholar
  5. 5.
    W. D. Rust, The Electrical Nature of Storms (Oxford Univ. Press, New York, 1998).Google Scholar
  6. 6.
    V. A. Rakov and M. A. Uman, Lightning: Physics and Effects (Cambridge Univ. Press, Cambridge, 2003).CrossRefGoogle Scholar
  7. 7.
    A. J. Bennett and R. G. Harrison, “Atmospheric electricity in different weather conditions,” Weather 62, 277–283 (2007).ADSCrossRefGoogle Scholar
  8. 8.
    I. B. Popov, “Statistical estimates of the effects of different meteorological phenomena on the gradient of the electric potential of the atmosphere,” Trudy GGO, Is. 558, 152–16. (2008).Google Scholar
  9. 9.
    T. C. Marshall, “Electrical evolution during the decay stage of New Mexico thunderstorms,” J. Geophys. Res. 114, D02209 (2009).Google Scholar
  10. 10.
    A. A. Toropov, V. I. Kozlov, V. A. Mullayarov, and S. A. Starodubtsev, “Experimental observations of strengthening the neutron flux during negative lightning discharges of thunderclouds with tripolar configuration,” J. Atmos. Sol.-Terr. Phys., No. 94, 13–18 (2013).ADSCrossRefGoogle Scholar
  11. 11.
    I. M. Imyanitov, E. V. Chubarina, and Ya. M. Shvarts, Cloud Electricity (Gidrometeoizdat, Leningrad, 1971) [in Russian].Google Scholar
  12. 12.
    S. M. Shmeter, Thermodynamics and Physics of Convective Clouds (Gidrometeoizdat, Leningrad, 1987) [in Russian].Google Scholar
  13. 13.
    H. B. Bluestein, Severe Convective Storms and Tornadoes: Observations and Dynamics (Springer, Berlin, Heidelberg, 2013).CrossRefGoogle Scholar
  14. 14.
    P. K. Wang, Physics and Dynamics of Clouds and Precipitation (Cambridge Univ. Press, Cambridge, 2013).CrossRefzbMATHGoogle Scholar
  15. 15.
    R. A. Houze, Cloud Dynamics (Acad. Press, New York; London, 2014), 2nd ed.Google Scholar
  16. 16.
    P. M. Nagorsky, V. N. Morozov, S. V. Smirnov, and K. N. Pustovalov, “Electrode layer in the electric field of deep convective cloudiness,” Izv. vuzov, Radiofiz. 56 (11), 853–863 (2013).Google Scholar
  17. 17.
    P. M. Hobbs, “Organization and structure of clouds and precipitation on the mesoscale and microscale in cyclonic storms,” Rev. Geophys. Space Phys. 16 (4), 741–755 (1978).ADSCrossRefGoogle Scholar
  18. 18.
    S. M. Shmeter, “Characteristics of submerged convection in frontal clouds and conditions for its formation,” Meteorol. Gidrol., No. 11, 36–44 (1990).Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.Institute of Monitoring of Climatic and Ecologic Systems, Siberian BranchRussian Academy of SciencesTomskRussia

Personalised recommendations