Dataset for A Modified Approach for Process-Integrated Reference Point Determination
| Main Authors: | Lösler, Michael, Eschelbach, Cornelia, Riepl, Stefan, Schüler, Torben |
|---|---|
| Format: | info dataset Journal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3996200 |
Daftar Isi:
- The Global Geodetic Observing System (GGOS) calls for continues and automated determination of the geometric reference points of space-geodetic techniques such as DORIS, GNSS, SLR and VLBI. Whereas the reference points of DORIS beacons and GNSS antennas can simply be measured by observing well-defined reference markers, the determination of SLR and VLBI reference points are a metrological challenge, because these reference points are inaccessible and non-materialized. Indirect methods are needed to estimate the reference points in a rigorous way, which fulfil the requirements on an automated and continues reference point determination of the Global Geodetic Observing System. In this investigation, a modified approach for reference point determination of SLR and VLBI telescopes is presented. The results of the new approach are compared to proven reference point models. The numerical deviations of the estimated reference point coordinates and the axis-offset are <<50 μm and demonstrate the equivalence of the new approach.
- Description: The data files define the incommings of the adjustment process, which were used to derive the reference point and the axis offset as well as figure 4 of the related publication: Lösler, M., Eschelbach, C., Riepl, S., Schüler, T.: A Modified Approach for Process-Integrated Reference Point Determination. In: Haas, R., García-Espada, S., Lopez Fernández, J. A.: Proceedings of the 24th European VLBI for Geodesy and Astrometry (EVGA) Working Meeting, 17.-19.03.2019, Las Palmas de Gran Canaria, 172-176, 2019. ISBN: 978-84-416-5634-5 Acknowledgement: This dataset was obtained within the 18SIB01 GeoMetre project. This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.