Assessment of the possible contribution of space ties on-board GNSS satellites to the terrestrial reference frame

The realization of the international terrestrial reference frame (ITRF) is currently based on the data provided by four space geodetic techniques. The accuracy of the different technique-dependent materializations of the frame physical parameters (origin and scale) varies according to the nature of the relevant observables and to the impact of technique-specific errors. A reliable computation of the ITRF requires combining the different inputs, so that the strengths of each technique can compensate for the weaknesses of the others. This combination, however, can only be performed providing some additional information which allows tying together the independent technique networks. At present, the links used for that purpose are topometric surveys (local/terrestrial ties) available at ITRF sites hosting instruments of different techniques. In principle, a possible alternative could be offered by spacecrafts accommodating the positioning payloads of multiple geodetic techniques realizing their co-location in orbit (space ties). In this paper, the GNSS–SLR space ties on-board GPS and GLONASS satellites are thoroughly examined in the framework of global reference frame computations. The investigation focuses on the quality of the realized physical frame parameters. According to the achieved results, the space ties on-board GNSS satellites cannot, at present, substitute terrestrial ties in the computation of the ITRF. The study is completed by a series of synthetic simulations investigating the impact that substantial improvements in the volume and quality of SLR observations to GNSS satellites would have on the precision of the GNSS frame parameters.

[1]  R. Dach,et al.  Geocenter Coordinates from GNSS and Combined GNSS-SLR Solutions Using Satellite Co-locations , 2014 .

[2]  Zuheir Altamimi,et al.  Local Ties and Co-Location Sites: Some Considerations After the Release of ITRF2008 , 2013 .

[3]  Peter Steigenberger,et al.  SLR-GNSS analysis in the framework of the ITRF2013 computation , 2013 .

[4]  H. Schuh,et al.  Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium‐Range Weather Forecasts operational analysis data , 2006 .

[5]  Z. Altamimi,et al.  ITRF2008: an improved solution of the international terrestrial reference frame , 2011 .

[6]  Division on Earth Precise Geodetic Infrastructure: National Requirements for a Shared Resource , 2010 .

[7]  Paul Rebischung,et al.  Can GNSS contribute to improving the ITRF definition , 2014 .

[8]  R. Dach,et al.  Absolute IGS antenna phase center model igs08.atx: status and potential improvements , 2016, Journal of Geodesy.

[9]  Zuheir Altamimi,et al.  A collinearity diagnosis of the GNSS geocenter determination , 2013, Journal of Geodesy.

[10]  Gary T. Mitchum,et al.  Estimating Mean Sea Level Change from the TOPEX and Jason Altimeter Missions , 2010 .

[11]  T. Otsubo,et al.  Glonass Laser Ranging Accuracy With Satellite Signature Effect , 2001 .

[12]  Z. Altamimi,et al.  ITRF2014: A new release of the International Terrestrial Reference Frame modeling nonlinear station motions , 2016 .

[13]  Michael R Pearlman,et al.  THE INTERNATIONAL LASER RANGING SERVICE , 2007 .

[14]  R. Langley,et al.  Improved mapping functions for atmospheric refraction correction in SLR , 2002 .

[15]  R. Dach,et al.  Contribution of Starlette, Stella, and AJISAI to the SLR-derived global reference frame , 2014, Journal of Geodesy.

[16]  L. Mervart,et al.  Extended orbit modeling techniques at the CODE processing center of the international GPS service for geodynamics (IGS): theory and initial results. , 1994 .

[17]  Chung-Yen Kuo,et al.  Geodetic Observations and Global Reference Frame Contributions to Understanding Sea‐Level Rise and Variability , 2010 .

[18]  L. Mervart,et al.  Bernese GPS Software Version 5.0 , 2007 .

[19]  E. C. Pavlis,et al.  High‐accuracy zenith delay prediction at optical wavelengths , 2004 .

[20]  R. Dach,et al.  Bernese GNSS Software Version 5.2 , 2015 .

[21]  Peter Steigenberger,et al.  Pre-combined GNSS-SLR Solutions: What Could be the Benefit for the ITRF? , 2015 .

[22]  Mattia Crespi,et al.  VII Hotine-Marussi Symposium on Mathematical Geodesy: Proceedings of the Symposium in Rome, 6-10 June, 2009 , 2012 .

[23]  J. Ray,et al.  The IGS contribution to ITRF2014 , 2016, Journal of Geodesy.

[24]  Peter Steigenberger,et al.  Impact of the arc length on GNSS analysis results , 2016, Journal of Geodesy.

[25]  Z. Altamimi,et al.  Assessment of the accuracy of global geodetic satellite laser ranging observations and estimated impact on ITRF scale: estimation of systematic errors in LAGEOS observations 1993–2014 , 2016, Journal of Geodesy.

[26]  Z. Altamimi,et al.  ITRF2005 : A new release of the International Terrestrial Reference Frame based on time series of station positions and Earth Orientation Parameters , 2007 .

[27]  U. Hugentobler,et al.  Reducing the draconitic errors in GNSS geodetic products , 2014, Journal of Geodesy.

[28]  P. Steigenberger,et al.  Satellite laser ranging to GPS and GLONASS , 2015, Journal of Geodesy.

[29]  Chris Rizos,et al.  The International GNSS Service in a changing landscape of Global Navigation Satellite Systems , 2009 .

[30]  Manuela Seitz,et al.  Combination of GNSS and SLR observations using satellite co-locations , 2011 .

[31]  Toshimichi Otsubo,et al.  System‐dependent center‐of‐mass correction for spherical geodetic satellites , 2003 .

[32]  Michael Meindl Combined Analysis of Observations from Different Global Navigation Satellite Systems , 2011 .

[33]  Daniela Thaller Inter-technique combination based on homogeneous normal equation systems including station coordinates, earth orientation and troposphere parameters , 2008 .

[34]  Geoffrey Blewitt,et al.  Terrestrial Reference Frame Requirements for Studies of Geodynamics and Climate Change , 2015 .

[35]  Xavier Collilieux,et al.  Accuracy Assessment of the ITRF Datum Definition , 2008 .

[36]  Thomas A. Herring,et al.  Effects of atmospheric azimuthal asymmetry on the analysis of space geodetic data , 1997 .

[37]  R. Dach,et al.  CODE’s new solar radiation pressure model for GNSS orbit determination , 2015, Journal of Geodesy.