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RTS Monitoring

RTS Monitoring

RTS SSR Product Monitoring

The IGS RTS provides access to real-time precise products such as orbits, clocks, code and phase biases, which can be used as a substitute for ultra-rapid products in real-time applications. Their performance is assessed by the RTACC in two ways: daily comparisons with precise rapid products, and a quality control of all streams in real time.

Reference products. The daily comparisons use the GFZ MGEX rapid products (Deng et al. 2017) with the following satellite clock reference observables:

GNSS Reference observables
GPS C1W C2W
GLONASS C1P C2P
Galileo C1C C5Q
BeiDou C2I C6I

Combined products. To satisfy high demands on availability and reliability, the RTACC provides two combined multi-GNSS product streams:

  • SSRA02IGS1/SSRC02IGS1 (GPS, GLONASS, Galileo)
  • SSRA03IGS1/SSRC03IGS1 (GPS, GLONASS, Galileo, BeiDou)

They are computed with the Kalman filter combination of the BKG Ntrip Client (BNC), which deals with outages and offsets of the individual RTAC solutions. The combination approach is described on the Products page.

Comparison method. The real-time corrections of each RTAC stream and of the combined products are applied to the broadcast ephemerides and saved by BNC as SP3 and clock RINEX files, separately for CoM (SSRC) and APC (SSRA) streams. These files are compared daily with the GFZ rapid products using BNC’s SP3 comparison:

  • Orbits: differences in radial, along-track and cross-track direction; the plots show the 3D RMS.
  • Clocks: the clocks of two products differ by an offset common to all satellites of a system per epoch

(the clock datum) and by a constant offset per satellite (different realizations of the satellite clocks and code biases). Both are estimated in a least-squares adjustment and removed. The plots show the standard deviation of the remaining clock differences after reduction of the radial orbit differences.

  • Signal-in-space (SIS): SIS = radial orbit difference − clock difference is the part of the orbit and

clock errors that affects the range of a user (Montenbruck et al. 2015). It shows whether the errors of orbits and clocks compensate each other. Two values are given per stream and system:

  • SIS RMS, including the constant offset per satellite;
  • SIS standard deviation (SIS Sig), about the mean of each satellite – the variable part of the error, which matters most for a PPP user, as constant satellite offsets are largely absorbed by the float phase ambiguities.

A large SIS RMS with a small SIS Sig indicates constant differences per satellite, as is typical between the products of different ACs.

In the following, the satellite orbit, clock and SIS performance of the different constellations is presented for the individual RTAC solutions and for the combined products over the last 30 days:

GPS SSRC Streams

GPS SSRA Streams

GLONASS SSRC Streams

GLONASS SSRA Streams

Galileo SSRC Streams

Galileo SSRA Streams

Beidou-3 SSRC Streams

Beidou-3 SSRA Streams

RTS Ionospheric Delay Monitoring

VTEC from global ionospheric maps created in real-time produced by the individual ACs as well as the combination (product stream IONO00IGS1) is compared to a reference ionospheric products based on Jason-3 data. The bias and standard deviation of the ionospheric delay correction products are computed with respect to the reference on a daily basis over the last 30 days and plotted below.

RTS Ionospheric Delay Validation

The high-quality dual-frequency phase observations of the DORIS system provide a valuable source of information for global ionospheric analysis. These data are particularly suited for an independent and external validation of existing GNSS-based ionosphere models. For this purpose, relative variations in the slant total electron content (dSTEC) derived from dual-frequency observations are calculated along the link between the ground station and the satellite, with reference to the highest satellite elevation of each pass. This approach has long been applied for GNSS observations (i.e., GNSS dSTEC analysis), and was recently adapted to DOIRS observations by Liu et al (2023), who introduced the concept of DORIS dSTEC, to evaluate real-time global ionospheric maps (RT-GIMs) from different IGS analysis centers.

Using NRT DORIS data from Jason-3, the accuracy of different RT-GIM products are routinely monitored with a latency of about 24 hours. The evaluation includes RT-GIMs from CAS (IONO00CAS1), CNES (IONO00CNE1), UPC-IonSAT (IONO00UPC1), WHU (IONO00WHU1), NRCan (IONOO0NRC0) as well as the IGS combined solutions ION000IGS1 generated by UPC-IonSAT and ION001IGS1 generated by CAS.

Bias and STD time series

STD distribution (boxplot) and RMS heatmap

RTS PPP Performance

As a final performance review from the user perspective, the IGS RTS products were introduced in a Precise Point Positioning (PPP) client engine. Corresponding charts resulting from the combination products are presented here.

These and in addition the PPP performance resulting from individual RTAC solutions can be found at: https://igs.bkg.bund.de/ntrip/ppp.

References

Deng Z., Nischan T., Bradke M. (2017): Multi-GNSS Rapid Orbit-, Clock- & EOP-Product Series. GFZ Data Services. https://doi.org/10.5880/GFZ.1.1.2017.002

Liu A., Wang N., Dettmering D., Li Z., Schmidt M., Liang W., Yuan H. (2023). Using DORIS data for validating real-time GNSS ionosphere maps. Advances in Space Research, 72(1), 115–128. https://doi.org/10.1016/j.asr.2023.01.050 

Montenbruck O., Steigenberger P., Hauschild A. (2015): Broadcast versus precise ephemerides: a multi-GNSS perspective. GPS Solutions, 19(2), 321–333. https://doi.org/10.1007/s10291-014-0390-8

Last Updated on 27 Oct 2026 12:52 UTC

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