Abstract A realistic assessment of the uncertainties in the even zonals of a given geopotential model must be made by directly comparing its coefficients with those of a wholly independent solution of superior formal accuracy. Otherwise, a favorable selective bias is introduced in the evaluation of the total error budget of the LAGEOS-based Lense–Thirring tests yielding likely too optimistic figures for it. By applying a novel approach which recently appeared in the literature, the second ( = 4 ) and the third ( = 6 ) even zonals turn out to be uncertain at a 2 3 × 10 11 ( = 4 ) and 3 4 × 10 - 11 ( = 6 ) level, respectively, yielding a total gravitational error of about 27–28%, with an upper bound of 37–39%. The results by Ries et al. themselves yield an upper bound for it of about 33%. The low-degree even zonals are not exclusively determined from the GRACE Satellite-to-Satellite Tracking (SST) range since they affect it with long-period, secular-like signatures over orbital arcs longer than one orbital period: GRACE SST is not accurately sensitive to such signals. Conversely, general relativity affects it with short-period effects as well. Thus, the issue of the a priori “imprinting” of general relativity itself in the GRACE-based models used so far remains open.

    Author-highlights A new, independent method to assess the uncertainty in the even zonals is used. It is applied to the LAGEOS tests of frame-dragging. It yields a 27–39% error. Different computational schemes yield different zonal errors for the LARES mission. The impact of GR in the GRACE models used in the LAGEOS tests is discussed.


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    Titel :

    Novel considerations about the error budget of the LAGEOS-based tests of frame-dragging with GRACE geopotential models


    Beteiligte:

    Erschienen in:

    Acta Astronautica ; 91 ; 141-148


    Erscheinungsdatum :

    2013-06-05


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







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