The SLR Contribution to the ITRF Monitoring the Origin of the TRF with Space Geodetic Techniques
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Erricos C. Pavlis, The SLR Contribution to the ITRF Monitoring the Origin of the TRF with Space Geodetic Techniques, https://cddis.nasa.gov/lw13/docs/papers/sci_pavlis_1m.pdf
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Public Domain Mark 1.0
This is a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Abstract
The origin of the Terrestrial Reference System (TRS) is realized through the adopted coordinates of its defining set of positions and velocities at epoch, constituting the conventional Terrestrial Reference Frame (TRF). Since over two decades now, these coordinates are determined through space geodetic techniques, in terms of absolute or relative positions of the sites and their
linear motions. The continuous redistribution of mass within the Earth system causes concomitant changes in the Stokes’ coefficients describing the terrestrial gravity field. Seasonal changes in these coefficients have been closely correlated with mass transfer in the atmosphere, hydrosphere and the oceans. The new gravity-mapping missions, CHAMP and GRACE, and to a lesser extent the future mission GOCE, address these temporal changes from the gravimetric point of view. For the very low degree and order terms of the gravity field model, this gravity or dynamic effect also manifests itself as a geometric effect that affects the origin and orientation relationship between the instantaneous and the mean reference frame. Satellite laser ranging data to LAGEOS-1 and -2 contributed the most accurate geocenter observations yet, demonstrating millimeter level accuracy
for weekly averages. Other techniques, like GPS and DORIS, have also contributed and continue to improve their results with better modeling and more uniformly distributed (spatially and temporally) tracking data. We present the results from the various techniques, assess their accuracy and compare them. We also look into potential improvements in the future, which will likely lead us to even finer resolution and higher accuracy through the constructive combination of the individual time series.