Advertisement

Analysis of the Probability Fields of Ionospheric Parameters Used for the Probabilistic Plasma-Chemical Modeling of the Lower Ionosphere

  • Bekker SusannaEmail author
Conference paper
Part of the Springer Proceedings in Earth and Environmental Sciences book series (SPEES)

Abstract

Concentration of electrons and ions depends on spatial, seasonal and temporal variations of atmospheric parameters, such as the neutral component temperature and concentrations. Experimental data is the most reliable source of knowledge of ionospheric parameters behavior. This paper features the results of processing and analysis of the long-term atmospheric data from the AURA satellite. The probability density functions (PDFs) of temperature T and concentrations of [N2], [O2], [H2O] and [O3] were plotted and analyzed at heights in the range of 50–90 km. Dependences of probability density functions’ values on latitude, season and time of day are studied. The 5-component and 8-component systems of differential equations of ionization-recombination cycle were solved, by using the input parameters obtained under different heliogeophysical conditions. The cosmic rays’ ionization, NO ionization by the Lα line, UV and X-ray ionization are taken into account to calculate the ionization rate of the ionospheric D-region. The paper features the comparison of two plasma-chemical models’ results containing the electron concentrations under the calm conditions and the solar flare.

Keywords

Ionosphere modeling Probability theory Radio wave propagation Plasma-chemical model Satellites data 

References

  1. 1.
    Bekker, S.Z.: Analysis of electron density calculations using deterministic-probabilistic model of the ionospheric D-region. Solar-Terr. Phys. 4(3), 67–75 (2018)ADSGoogle Scholar
  2. 2.
    Kozlov, S.I., Lyakhov, A.N., Bekker, S.Z.: Key principles of constructing probabilistic statistical ionosphere models for the radiowave propagation problems. Geomagn. Aeron. 54(6), 767–779 (2014)CrossRefGoogle Scholar
  3. 3.
    Bekker, S.Z., Kozlov, S.I., Lyakhov, A.N.: On some methods of increasing the accuracy of statistical models of the ionospheric D-region. In: Proceedings of the IV All-Russian scientific conference “Problems of military-applied geophysics and control of the state of the environment”, pp. 62–66. Saint-Petersburg (2016)Google Scholar
  4. 4.
    Egoshin, A.A., Ermak, V.M., Zetzer, YuI, Kozlov, S.I., Kudryavtsev, V.P., Lyakhov, A.N., Poklad, YuV, Yakimenko, E.N.: Influence of meteorological and wave processes on the lower ionosphere during solar minimum conditions according to the data on midlatitude VLF–LF propagation. Phys. Solid Earth 48(3), 275–286 (2012)CrossRefGoogle Scholar
  5. 5.
    Kudryavtsev, V.P., Romanyukha, NYu.: Modelling of ionization-recombination processes in the middle atmosphere. Math. Model. 7(3), 3–18 (1995)zbMATHGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Sadovsky Institute of Geospheres Dynamics RASMoscowRussia

Personalised recommendations