2011
DOI: 10.1007/978-3-642-20338-1_126
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The New Vienna VLBI Software VieVS

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Cited by 77 publications
(46 citation statements)
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“…Various studies have illustrated that VLBI is capable of determining accurate tropospheric delays as well as water vapor content in the vicinity of the VLBI stations (Heinkelmann et al 2007;Schuh and Böhm 2012). Since GNSS and VLBI observations are subject to the same type of errors in terms of the atmospheric effect, tropospheric parameter derived from VLBI provide an excellent basis for the comparison and validation of parameters retrieved by GNSS, which has been shown by many authors (Teke et al 2011;Ning et al 2012 Comparable to the GNSS, the GMF are used as hydrostatic and wet mapping functions, and the elevation cut-off angle is set to 5°.…”
Section: Vlbi Datamentioning
confidence: 99%
“…Various studies have illustrated that VLBI is capable of determining accurate tropospheric delays as well as water vapor content in the vicinity of the VLBI stations (Heinkelmann et al 2007;Schuh and Böhm 2012). Since GNSS and VLBI observations are subject to the same type of errors in terms of the atmospheric effect, tropospheric parameter derived from VLBI provide an excellent basis for the comparison and validation of parameters retrieved by GNSS, which has been shown by many authors (Teke et al 2011;Ning et al 2012 Comparable to the GNSS, the GMF are used as hydrostatic and wet mapping functions, and the elevation cut-off angle is set to 5°.…”
Section: Vlbi Datamentioning
confidence: 99%
“…In this research we have developed a new empirical FCN model with higher temporal resolution by fitting M a n u s c r i p t the amplitude parameters directly to the Very Long Baseline Interferometry (VLBI) solution calculated with the GeoForschungsZentrum (GFZ) version (Nilsson et al, 2015) of the Vienna VLBI Software (VieVS) (Böhm et al, 2012). A comparison with other recently determined empirical FCN models: Malkin (2013), Krásná et al (2013) and Lambert and Dehant (2007) was included by means of the weight root mean square (WRMS) of the residuals during the entire period of VLBI data.…”
Section: Introductionmentioning
confidence: 99%
“…Because of their regularity and timeliness in correlation and analysis, these sessions constitute the majority of the IVS data and heavily contribute to its main products: the terrestrial reference frame, the Earth orientation parameters and the CRF. The Vienna VLBI Software (VieVS; Böhm et al 2012) allows us to simulate and analyse these observations. In geodetic/astrometric analysis (e.g.…”
Section: S I M U L At I O N M E T H O Dmentioning
confidence: 99%