AbstractA new neural network (NN) based global empirical model for the foF2 parameter, which represents the peak ionospheric electron density, has been developed using extended temporal and spatial geophysical relevant inputs. It has been proposed that this new model be considered as a suitable replacement for the International Union of Radio Science (URSI) and International Radio Consultative Committee (CCIR) model options currently used within the International Reference Ionosphere (IRI) model for the purpose of F2 peak electron density predictions. The most recent version of the model has incorporated data from 135 global ionospheric stations including a number of equatorial stations.This paper concentrates on the ability of this new model to predict foF2 for the equatorial sector, an area that has been identified as problematic within the current IRI peak prediction setup. The improvement in the predictions of the foF2 parameter by the new model as compared to the URSI and CCIR model options of the IRI is demonstrated and the requirement for additional foF2 data from the equatorial zone for the purpose of global modeling of foF2 is highlighted in this paper.


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    Title :

    Equatorial predictions from a new neural network based global foF2 model


    Contributors:

    Published in:

    Advances in Space Research ; 46 , 8 ; 1016-1023


    Publication date :

    2009-12-12


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Variability of foF2 in the equatorial ionosphere

    Bilitza, D. / Obrou, O. K. / Adeniyi, J. O. et al. | British Library Conference Proceedings | 2004


    Variability of foF2 in the equatorial ionosphere

    Bilitza, D. | Online Contents | 2004