Testing impact of the strategy of VLBI data analysis on the estimation of Earth Orientation Parameters and station coordinates

Bachmann, S., Lösler, M., Messerschmitt, L., Schmid, R., Bloßfeld, M., & Thaller, D. (2012). IVS Combination Center at BKG - Robust Outlier Detection and Weighting Strategies. In International VLBI Service for Geodesy and Astrometry 2012 General Meeting Proceedings (p. 266-270).Search in Google Scholar

Böckmann, S., Artz, T., & Nothnagel, A. (2010). VLBI terrestrial reference frame contributions to ITRF2008. Journal of Geodesy, 84(3), 201-219. doi: 10.1007/s00190-009-0357-710.1007/s00190-009-0357-7Search in Google Scholar

Böhm, J., Böhm, S., Nilsson, T., Pany, A., Plank, L., Spicakova, H., . . . Schuh, H. (2012). The new Vienna VLBI Software VieVS. In S. Kenyon, C. M. Pacino, & U. Marti (Eds.), Proceedings of IAG Scientific Assembly 2009, International Association of Geodesy Symposia Series (Vol. 136, p. 1007-1011). Springer Berlin Heidelberg.10.1007/978-3-642-20338-1_126Search in Google Scholar

Böhm, J., Werl, B., & Schuh, H. (2006). Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium-Range Weather Forecasts operational analysis data. Journal of Geophysical Research: Solid Earth (1978-2012), 111(B2).10.1029/2005JB003629Search in Google Scholar

Fey, A., Gordon, D., & Jacobs, C. (Eds.). (2009). The second realization of the international celestial reference frame by very long baseline interferometry. IERS Technical Note 35, Verlag des Bundesamts für Kartographie und Geodäsie, Frankfurt am Main, Germany.Search in Google Scholar

IVS. (2013). International VLBI Service for Geodesy and Astrometry. Retrieved from http://ivscc.gsfc.nasa.gov/index.html Search in Google Scholar

Krasna, H. (2013). Estimation of solid Earth tidal parameters and FCN with VLBI (Doctoral dissertation, Department of Geodesy and Geoinformation). Retrieved from http://www.ub.tuwien.ac.at/diss/AC07814900.pdfSearch in Google Scholar

Kutterer, H., Heinkelmann, R., & Tesmer, V. (2003). Robust outlier detection in VLBI data analysis. In W. Schwegmann & V. Thorandt (Eds.), Proceedings of the 16th Working Meeting on European VLBI for Geodesy and Astrometry (p. 247-255). Bundesamt für Kartographie und Geodäsie, Leipzig/Frankfurt am Main, Germany.Search in Google Scholar

Lyard, F., Lefevre, F., Letellier, T., & Francis, O. (2006). Modelling the global ocean tides: modern insights from FES2004. Ocean Dynamics, 56(5-6), 394-415. doi: 10.1007/s10236-006-0086-x10.1007/s10236-006-0086-xSearch in Google Scholar

Nilsson, T., Heinkelmann, R., Karbon, M., Raposo-Pulido, V., Soja, B., & Schuh, H. (2014). Earth orientation parameters estimated from VLBI during the CONT11 campaign. Journal of Geodesy, 88(5), 491-502. doi: 10.1007/s00190-014-0700-510.1007/s00190-014-0700-5Search in Google Scholar

Petit, G., & Luzum, B. (Eds.). (2010). IERS Conventions (2010). IERS Technical Note 36, Verlag des Bundesamts für Kartographie und Geodäsie, Frankfurt am Main, Germany.Search in Google Scholar

Petrachenko, W., Behrend, D., Hase, H., Ma, C., Niell, A., Schuh, H., & Whitney, A. (2013). The VLBI2010 Global Observing System (VGOS). In EGU General Assembly Conference Abstracts (Vol. 15, p. 12867).Search in Google Scholar

Saastamoinen, J. (1972). Atmospheric Correction for the Troposphere and Stratosphere in Radio Ranging Satellites. In The Use of Artificial Satellites for Geodesy (p. 247-251). American Geophysical Union. Retrieved from http://dx.doi.org/10.1029/GM015p024710.1029/GM015p0247Search in Google Scholar

Schuh, H., & Behrend, D. (2012). VLBI: a fascinating technique for geodesy and astrometry. Journal of Geodynamics, 61, 68-80. doi: 10.1016/j.jog.2012.07.00710.1016/j.jog.2012.07.007Search in Google Scholar

Schuh, H., & Tesmer, V. (2000). Considering A Priori Correlations in VLBI Data Analysis. In N. R. Vandenberg & K. D. Baver (Eds.), International VLBI Service for Geodesy and Astrometry 2000 General Meeting Proceedings (p. 237-242).Search in Google Scholar

Sovers, O. J., Fanselow, J. L., & Jacobs, C. S. (1998). Astrometry and geodesy with radio interferometry: experiments, models, results. Reviews of Modern Physics, 70(4), 1393-1454. doi: 10.1103/RevModPhys.70.139310.1103/RevModPhys.70.1393Search in Google Scholar

Tesmer, V. (2003). Refinement of the stochastic VLBI model: first results. In W. Schwegmann & V. Thorandt (Eds.), Proceedings of the 16th Working Meeting on European VLBI for Geodesy and Astrometry (p. 207-218). Bundesamt für Kartographie und Geodäsie, Leipzig/Frankfurt am Main, Germany .Search in Google Scholar

Tesmer, V., & Kutterer, H. (2004). An advanced stochastic model for VLBI observations and its application to VLBI data analysis. In N. R. Vandenberg & K. D. Baver (Eds.), International vlbi service for geodesy and astrometry 2004 general meeting proceedings (p. 296-300).Search in Google Scholar

Zubko, N., Poutanen, M., Böhm, J., & Nilsson, T. (2012). Analysis of VLBI data with different stochastic models. In D. Behrend & K. Baver (Eds.), International VLBI Service for Geodesy and Astrometry 2012 General Meeting Proceedings (p. 236-240).Search in Google Scholar