AbstractRecent solutions of the terrestrial reference frame such as ITRF2000 are combined from multi-year data sets that contain station positions at a reference epoch and constant velocities. Analysis of time series of station positions of the geodetic space techniques SLR, GPS, VLBI and DORIS show, however, that these techniques allow to detect variations in station position series with up to a few millimetre accuracy. Therefore, the underlying reference frame needs to assure the same accuracy.In this paper we analyse systematic effects in station position and transformation parameter time series that need to be taken into account for future TRF realisations. These are mainly annual signals that show up as common variations of the global networks as well as local effects on individual stations. These annual signals differ significantly from technique to technique for some co-location sites. Apart from periodic signals the time series show discontinuities (e.g. due to earthquakes or instrumentation changes) and periods of non-linear motion (e.g. post-seismic relaxation). We compute TRF technique solutions of five years of epoch normal equations, which allows to adapt the parameterisation in order to account for the effects mentioned above. The accuracy of the technique-specific solutions is evaluated by comparing the results at co-location sites. For this purpose, we transform the VLBI, SLR and DORIS solutions to the GPS solution by using the measured local ties between GPS and the other techniques.


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    Titel :

    Refined approaches for terrestrial reference frame computations


    Beteiligte:
    Meisel, B. (Autor:in) / Angermann, D. (Autor:in) / Krügel, M. (Autor:in) / Drewes, H. (Autor:in) / Gerstl, M. (Autor:in) / Kelm, R. (Autor:in) / Müller, H. (Autor:in) / Seemüller, W. (Autor:in) / Tesmer, V. (Autor:in)

    Erschienen in:

    Advances in Space Research ; 36 , 3 ; 350-357


    Erscheinungsdatum :

    2005-04-19


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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