Highlights Model predicts diurnal, seasonal and geomagnetic activity dependence of variability. Ionospheric variability is mainly explained by atmospheric and geomagnetic activity. Some features of nighttime variability have not received a proper explanation.

    Abstract The paper presents an analysis of the ionospheric variability as a function of local time, month, and geomagnetic activity level. The 2003–2020 dataset of peak electron densities (NmF2) from the Irkutsk DPS-4 Digisonde (52.3°N, 104.3°E) was converted into the dataset of the NmF2 disturbances (ΔNmF2) representing the relative (percentage) deviations of the NmF2 from the 27-day running median. The ΔNmF2 dataset was used to calculate root mean square values of ΔNmF2 (σNmF2) by 27-day running averaging. These σNmF2 values were considered as a measure of ionospheric variability. The σNmF2 as function of local time, day of year, and year was the input for building the local empirical model of ionospheric variability based on the linear regression of σNmF2 on the 27-day average daily Ap-index of geomagnetic activity. The paper demonstrates the diurnal-seasonal variations in σNmF2 under low geomagnetic activity (linear regression intercept) as well as the rate of increase/decrease in σNmF2 with increasing Ap (linear regression slope). The obtained diurnal, seasonal, and geomagnetic activity behavior of σNmF2 is compared with previous studies of ionospheric variability.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Local empirical model of ionospheric variability


    Beteiligte:
    Ratovsky, K.G. (Autor:in) / Medvedeva, I.V. (Autor:in)

    Erschienen in:

    Advances in Space Research ; 71 , 5 ; 2299-2306


    Erscheinungsdatum :

    2022-10-27


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    An adaptable regional empirical ionospheric model

    Dvinskikh, N.I. / Naidenova, N.Ya. | Elsevier | 1991


    An Empirical Ionospheric Storm-Time Correction Model

    Fuller-Rowell, T. J. / Araujo-Pradere, E. / Codrescu, M. V. et al. | British Library Conference Proceedings | 1999


    Ionospheric variability studies in Argentina

    Ezquer, R.G. | Online Contents | 2007


    Ionospheric variability studies in Argentina

    Ezquer, R.G. / Mosert, M. | Elsevier | 2006


    An empirical model of ionospheric F1 layer parameters

    Buzunova, M.Yu. / Sukhodolskaya, V.E. / Ivelskaya, M.K. | Elsevier | 1988