Influence of station density and multi-constellation GNSS observations on troposphere tomography

Zhao, Q, Zhang, K and Yao, W 2019, 'Influence of station density and multi-constellation GNSS observations on troposphere tomography', Annales Geophysicae, vol. 37, no. 1, pp. 15-24.


Document type: Journal Article
Collection: Journal Articles

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Title Influence of station density and multi-constellation GNSS observations on troposphere tomography
Author(s) Zhao, Q
Zhang, K
Yao, W
Year 2019
Journal name Annales Geophysicae
Volume number 37
Issue number 1
Start page 15
End page 24
Total pages 10
Publisher Copernicus GmbH
Abstract Troposphere tomography, using multi-constellation observations from global navigation satellite systems (GNSSs), has become a novel approach for the three-dimensional (3-D) reconstruction of water vapour fields. An analysis of the integration of four GNSSs (BeiDou, GPS, GLONASS, and Galileo) observations is presented to investigate the impact of station density and single- and multi-constellation GNSS observations on troposphere tomography. Additionally, the optimal horizontal resolution of the research area is determined in Hong Kong considering both the number of voxels divided, and the coverage rate of discretized voxels penetrated by satellite signals. The results show that densification of the GNSS network plays a more important role than using multi-constellation GNSS observations in improving the retrieval of 3-D atmospheric water vapour profiles. The root mean square of slant wet delay (SWD) residuals derived from the single-GNSS observations decreased by 16 % when the data from the other four stations are added. Furthermore, additional experiments have been carried out to analyse the contributions of different combined GNSS data to the reconstructed results, and the comparisons show some interesting results: (1) the number of iterations used in determining the weighting matrices of different equations in tomography modelling can be decreased when considering multi-constellation GNSS observations and (2) the reconstructed quality of 3-D atmospheric water vapour using multi-constellation GNSS data can be improved by about 11 % when compared to the SWD estimated with precise point positioning, but this was not as high as expected.
Subject Navigation and Position Fixing
Geodesy
DOI - identifier 10.5194/angeo-37-15-2019
Copyright notice © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.
ISSN 0992-7689
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