This paper uses retrospective cost parameter estimation (RCPE) to estimate parameters in the global ionosphere–thermosphere model (GITM). Using GITM as an executable simulation code, RCPE estimates two thermal-conductivity coefficients along with the temperature exponent in the thermal-conductivity model. These parameter estimates are obtained by using various combinations of simulated measurements of the global minimum, global maximum, and mean neutral density at a fixed altitude. RCPE is implemented within recursive least squares using both constant-rate forgetting and variable-rate forgetting. The goal of this comparison is to assess the effect of variable-rate forgetting on the convergence of the parameter estimates. The contribution of the paper is thus an investigation of the effectiveness of RCPE for parameter estimation in GITM.


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    Title :

    Estimation of Thermal-Conductivity Coefficients in the Global Ionosphere–Thermosphere Model


    Contributors:

    Published in:

    Publication date :

    2020-05-08


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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