Počet záznamů: 1  

Statistical analysis of CMEs' geoeffectiveness over one year of solar maximum during cycle 23

  1. 1.
    0446733 - ÚFA 2016 CZ eng A - Abstrakt
    Bocchialini, K. - Menvielle, M. - Chambodut, A. - Cornilleau-Wehrlin, N. - Fontaine, D. - Grison, Benjamin - Lathuillère, C. - Marchaudon, A. - Pick, M. - Pitout, F. - Régnier, S. - Schmieder, B. - Vilmer, N. - Zouganelis, Y.
    Statistical analysis of CMEs' geoeffectiveness over one year of solar maximum during cycle 23.
    26th IUGG General Assembly 2015. Earth and Environmental Sciences for Future Generations : abstracts. Prague: International Union of Geodesy and Geophysics, 2015. A18p-344.
    [Earth and Environmental Sciences for Future Generations. General Assembly of International Union of Geodesy and Geophysics /26./. 22.06.2015-02.07.2015, Prague]
    Institucionální podpora: RVO:68378289
    Klíčová slova: Coronal Mass Ejections
    Kód oboru RIV: DG - Vědy o atmosféře, meteorologie
    http://www.iugg2015prague.com/abstractcd/data/HtmlApp/main.html#

    Using different propagation models from the Sun to the Earth, we performed a statistical analysis over the year 2002 on CME's geoeffectiveness linked to sudden storm commencements (ssc). We also classified the perturbations of the interplanetary medium that trigger the sscs. For each CME, the sources on the Sun of the CME are identified as well as the properties of the parameters deduced from spacecraft measurements along the path of the CME related event, in the solar atmosphere, the interplanetary medium, and the Earth ionized (magnetosphere and ionosphere) and neutral (thermosphere) environments. The set of observations is statistically analysed so as to evaluate the geoeffectiveness of CMEs in terms of ionospheric and thermospheric signatures, with attention to possible differences related to different kinds of solar sources. The observed Sun-to-Earth travel times are compared to those estimated using the existing models of propagation in the interplanetary medium, and this comparison is used to statistically assess the performances of the various models.
    Trvalý link: http://hdl.handle.net/11104/0248912

     
     
Počet záznamů: 1  

  Tyto stránky využívají soubory cookies, které usnadňují jejich prohlížení. Další informace o tom jak používáme cookies.