IGS repro3 products by Graz University of Technology (TUG): Signal biases
- 1. Institute of Geodesy, Graz University of Technology
- 1. Institute of Geodesy, Graz University of Technology
Beschreibung
The third reprocessing campaign (repro3) of the International GNSS Service (IGS) aims to to provide a time series of consistently reprocessed GNSS products covering the time period 1994-2020. The products are based on updated background models and processing methods. One of the main goals is to support the determination of the next International Terrestrial Reference Frame (ITRF2020) by providing daily coordinates for a global network of GNSS ground stations.
This data set represents the GNSS satellite and station signal bias part of the overall contribution of Graz University of Technology (TUG) to IGS repro3. It contains estimated code and phase biases of GPS, GLONASS, and Galileo satellites as well as ground-based stations for the time period from 1994 to 2020. Next to GPS, which spans the full period, GLONASS satellite signal biases are available starting from 2009 and Galileo biases from 2013. Signal biases are given at a daily sampling period.
TUG's contribution to repro3 was computed using the open-source software GROOPS. The processing included all available stations from the proposed repro3 station list (1212 stations), reaching more than 800 stations per day in the mid-2010s. All available code and phase observations on all frequencies (except Galileo E6) have been used at the full 30-second sampling period.
The following background models and corrections were used during the processing:
- Earth rotation: IERS 2010 plus high-frequency EOP model (Desai and Sibios, 2016)
- Earth's gravity field: GOCO06s plus C20 replacement from SLR
- Moon, Sun and planet ephemerides: JPL DE421
- Solid Earth tide: IERS 2010
- Ocean tide: FES2014b
- Pole tide: IERS 2010 (linear mean pole)
- Ocean pole tide: Desai (2004) (IERS 2010, linear mean pole)
- Atmospheric tides: AOD1B RL06
- Relativistic corrections: IERS 2010
- Tropospheric corrections: VMF3
- Solar radiation pressure: Box-wing + ECOM2
- Earth radiation pressure: Box-wing
- Antenna thrust: Steigenberger et al. (2017)
Methods
TUG applies an uncombined and undifferenced (raw) observation approach in its GNSS processing (Strasser et al., 2019). TUG's software package GROOPS (Mayer-Gürr et al., 2020), which supports multi-GNSS processing among other features, has been released as open-source code on GitHub (https://github.com/groops-devs/groops).
Technical info
Satellite and station signal biases are given in the SINEX_BIAS file format. The data set contains daily signal bias files sorted into yearly directories.
Signal biases are co-estimated in the least squares adjustment. Zero-mean constraint applied per code attribute over all satellites of each GNSS during estimation. Satellite phase biases are estimated per frequency independent of signal attribute and therefore have the same value for all attributes. GPS L5 satellite phase biases are estimated as cubic splines and are provided in time intervals as constant and slope (referring to center of interval). GLONASS receiver biases are estimated per frequency number and are provided as satellite-station biases to be used in addition to the satellite biases.
Dateien
TUG0R03FIN_1994-2020_01D_01D_OSB.BIA.zip
Dateien
(2.6 GB)
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Weitere Details
Verwandte Arbeiten
- Is documented by
- Journal article: 10.1007/s00190-018-1223-2 (DOI)
- Preprint: 10.1002/essoar.10505041.1 (DOI)
Daten
- Available
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2021-04-09Release
- Collected
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1994-01-01/2020-12-31Data set coverage period