Abstract Radio occultation (RO) has proved to be a powerful tool for weather forecasting and ionospheric modelling. It is a truly global technique for the observation in the lower as well as in the upper atmosphere. With the evolution of radio occultation technique, the data inversion algorithms used to extract data from the raw RO measurements also evolved over the period of last two decades. In this work, a thorough investigation has been conducted on the performance of model-assisted inversion technique proposed by Shaikh et al. (2017). A combination of low, mid and high latitude geographical locations was chosen to analyze the performance of the technique. It has shown that the proposed technique has significantly improved the data inversion results in high solar activity conditions when the horizontal gradients of the ionosphere are expected to be stronger than normal (for example 24% at King Salmon and 21% at Jeju in high solar activity). The longitudinal sector-wise analysis shows that the American longitudinal sector has slightly weaker performance measures for model-assisted inversion compared to the Asian longitudinal sector.


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    Titel :

    Performance evaluation of model-assisted data inversion technique for ionospheric radio occultation


    Beteiligte:

    Erschienen in:

    Advances in Space Research ; 66 , 8 ; 1937-1946


    Erscheinungsdatum :

    2020-06-30


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch