Analysis of the Probability Fields of Ionospheric Parameters Used for the Probabilistic Plasma-Chemical Modeling of the Lower Ionosphere
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.
KeywordsIonosphere modeling Probability theory Radio wave propagation Plasma-chemical model Satellites data
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