Abstract
We have developed a new concept for providing tropospheric augmentation corrections. The two-stage correction model combines data from a Numerical Weather Model (NWM) and precise ZTDs estimated from Global Navigation Satellite System (GNSS) permanent stations in regional networks. The first-stage correction is generated using the background NWM forecast only. The second-stage correction results from an optimal combination of the background model data and GNSS (near) real-time tropospheric products. The optimum correction is achieved when using NWM for the hydrostatic delay modeling and for vertical scaling, while GNSS products are used for correcting the non-hydrostatic delay. The method is assessed in several variants including study of the combination of NWM and GNSS data, spatial densification of the original NWM grid, and GNSS ZTD densification using tropospheric linear horizontal gradients. The first-stage correction can be characterized by overall accuracy of about 10 mm for ZTD (1-sigma). The second-stage correction supported with GNSS tropospheric products improved the first-stage correction by a factor of 2–4 in terms of the ZTD accuracy and by a factor of 2.5 in terms of its spatio-temporal stability.
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Acknowledgements
The development of dual-frequency tropospheric model has been supported by the ESA project DARTMA (EGEP-ID-89 06). The European Centre for Medium-Range Weather Forecast (ECMWF) is acknowledged for providing ERA-Interim re-analysis. GNSS data were used from the GNSS4SWEC Benchmark campaign and from the large infrastructure project LM2015079.
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Disclaimer: Reported work has been supported by a contract of the European Space Agency in the frame of the Announcement of Opportunities on GNSS Science and Innovative Technology within the European GNSS Evolutions Programme. The presented views represent solely the opinion of the authors.
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Douša, J., Eliaš, M., Václavovic, P. et al. A two-stage tropospheric correction model combining data from GNSS and numerical weather model. GPS Solut 22, 77 (2018). https://doi.org/10.1007/s10291-018-0742-x
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DOI: https://doi.org/10.1007/s10291-018-0742-x