Articles | Volume 9, issue 12
https://doi.org/10.5194/amt-9-5965-2016
https://doi.org/10.5194/amt-9-5965-2016
Research article
 | 
13 Dec 2016
Research article |  | 13 Dec 2016

Tropospheric delay parameters from numerical weather models for multi-GNSS precise positioning

Cuixian Lu, Florian Zus, Maorong Ge, Robert Heinkelmann, Galina Dick, Jens Wickert, and Harald Schuh

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Cited articles

Andrei, C. and Chen, R.: Assessment of time-series of troposphere zenith delays derived from the global data assimilation system numerical weather model, GPS Solut., 13, 109–117, 2008.
Blewitt, G., Kreemer, C., Hammond, W. C., Plag, H.-P., Stein, S., and Okal, E.: Rapid determination of earthquake magnitude using GPS for tsunami warning systems, Geophys. Res. Lett., 33, L11309, https://doi.org/10.1029/2006GL026145, 2006.
Boehm, J., Niell, A., Tregoning, P., and Schuh, H.: Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data, Geophys. Res. Lett., 33, L7304, https://doi.org/10.1029/2005GL025546, 2006.
Byram, S., Hackman, C., and Tracey, J.: Computation of a High-Precision GPS-Based Troposphere Product by the USNO, Proc. ION GNSS 2011, 19–23 September 2011, Portland, Oregon, USA, 572–578, 2011.
Chen, G. and Herring, T. A.: Effects of atmospheric azimuth asymmetry on the analysis of space geodetic data, J. Geophys. Res., 102, 20489–20502, https://doi.org/10.1029/97JB01739, 1997.
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Short summary
The recent dramatic development of multi-GNSS constellations brings great opportunities and potential for more enhanced precise positioning, navigation, timing, and other applications. In this contribution, we develop a numerical weather model (NWM) constrained PPP processing system to improve the multi-GNSS precise positioning. Compared to the standard PPP solution, significant improvements of both convergence time and positioning accuracy are achieved with the NWM-constrained PPP solution.
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