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Real-time multi-GNSS clock and orbit corrections – online validation service

Authors

Kazmierski,  Kamil
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Hadas,  Tomasz
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Kazmierski, K., Hadas, T. (2023): Real-time multi-GNSS clock and orbit corrections – online validation service, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3251


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019804
Abstract
Real-time precise positioning applications benefit from clock and orbit corrections since 2013 when the IGS launched the very first Internet data stream. Currently, multi-GNSS corrections are provided by several Analysis Centers (ACs), among which there are Centre National D'études Spatiales (CNES), European Space Agency (ESA), and Helmholtz Centre Potsdam German Research Centre for Geosciences (GFZ). In addition to clock and orbit corrections, selected ACs provide ionospheric maps, code and phase biases, with the latter one being critical for integer ambiguity resolution in PPP. Although the quality of PPP solution depends directly on the quality of products, it is barely possible to validate the quality of incoming real-time corrections. We present the online service for real-time clock and orbit validation available via multiple data streams, which accuracy is compared against the final multi-GNSS product. The back-end of the service is based on the engine of the GNSS-WARP software, whereas the front-end (website) is developed within the Streamlit framework. The service provides information about the daily signal in space range error (SISRE) – parameter indicating the overall level of the products’ accuracy. SISRE may further be used as the indicator for the inter-system weighting in multi-GNSS processing. The service website allows displaying data split down into constellations, blocks, or individual PRN numbers. It provides reliable information about the historical and recent product’s performance in terms of accuracy, its evolution and reliability over time.