The Bonn Geodetic VLBI Operation Center
In 2012, the IGGB Operation Center has continued to carry out tasks for organizing and scheduling the observing sessions of the IVS-T2, IVS-OHIG, IVS-INT3, and EUROPE series.
Nothnagel, A.↗
SEARCH · Engineering Papers
Results for “VLBI”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Tsukuba VLBI Analysis Center
The Tsukuba Analysis Center is funded by the Geospatial Information Authority of Japan (GSI). The c5++ analysis software is regularly used for the IVS-INT2 analysis and the ultra-rapid EOP experiments.
Kurihara, Shinobu↗
VLBI and Transients: Very Long Baseline Interferometry and Pulses
No abstract available
radio references↗
G14A-06- Analysis of the DORIS, GNSS, SLR, VLBI and Gravimetric Time Series at the GGOS Core Sites
Analysis of the time series at the 3-4 multi-technique GGOS sites to analyze and compare the spectral content of the space geodetic and gravity time series. Evaluate the level of agreement between the space geodesy measurements and the physical tie vectors.
Moreaux, G.↗
Solar corona electron density models from recent VLBI experiments AUA020 and AUA029
UNKNOWN
Lambert, Sebastien↗
Application of time-variable process noise in terrestrial reference frames determined from VLBI data
In recent years, Kalman filtering has emerged as a suitable technique to determine terrestrial reference frames (TRFs), a prime example being JTRF2014. The time series approach allows variations of station coordinates that are neither reduced by observational corrections nor considered in the functional model to be taken into account. These variations are primarily due to non-tidal geophysical loading effects that are not reduced according to the current IERS Conventions (2010). It is standard practice that the process noise models applied in Kalman filter TRF solutions are derived from time series of loading displacements and account for station dependent differences. So far, it has been assumed that the parameters of these process noise models are constant over time. However, due to the presence of seasonal and irregular variations, this assumption does not truly reflect reality. In this study, we derive a station coordinate process noise model allowing for such temporal variations. This process noise model and one that is a parameterized version of the former are applied in the computation of TRF solutions based on very long baseline interferometry data. In comparison with a solution based on a constant process noise model, we find that the station coordinates are affected at the millimeter level.
Schuh, Harald↗
International VLBI Service for Geodesy and Astrometry 2019+2020 Biennial Report
Explore the source record for details and available documents.
Dirk Behrend↗