Articles | Volume 42, issue 2
https://doi.org/10.5194/angeo-42-455-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-42-455-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Regular paper
| 
19 Nov 2024
Regular paper |
| 19 Nov 2024
| 19 Nov 2024
Multi-Global Navigation Satellite System (GNSS) real-time tropospheric delay retrieval based on state-space representation (SSR) products from different analysis centers
Wanqiang Yao
College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
Haoran Huang
College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
Xiongwei Ma
College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
Qi Zhang
CORRESPONDING AUTHOR
School of Geodesy and Geomatics, Wuhan University, Wuhan 430000, China
Yibin Yao
School of Geodesy and Geomatics, Wuhan University, Wuhan 430000, China
Xiaohu Lin
College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
Qingzhi Zhao
College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
Yunzheng Huang
College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
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In this paper, we propose an improved pixel-based water vapor tomography model, which uses layered optimal polynomial functions by adaptive training for water vapor retrieval. Under different scenarios, tomography results show that the new model outperforms the traditional one by reducing the root-mean-square error (RMSE), and this improvement is more pronounced, at 5.88 % in voxels without the penetration of GNSS rays. The improved model also has advantages in more convenient expression.
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This paper proposes an optimal tropospheric tomography approach with the support of an auxiliary area, which has the ability to use the signals crossing out from the top boundary of the tomographic area. Additionally, the top height of the tomography body is determined based on the average water vapour distribution derived from the COSMIC data. The compared result reveals the superiority of the proposed method when compared to the conventional method.
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Manuscript not accepted for further review
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Yibin Yao, Xingyu Xu, and Yufeng Hu
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Revised manuscript not accepted
Qingzhi Zhao, Yibin Yao, and Wanqiang Yao
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A troposphere tomographic method has been proposed considering the signal rays penetrating from the side of the area of interest. Given the method above needs the establishment of a unit scale factor model using the radiosonde data at only one location in the research area, an improved approach is proposed by considering the reasonability of modelling data and the diversity of the modelling parameters for building a more accurate unit scale factor model.
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By considering the diurnal variations in zenith tropospheric delay (ZTD) and modifying the model expansion function, we developed an improved global empirical ZTD model GZTD2 with higher temporal and spatial resolutions compared to our previous GZTD model. The external validation testing with IGS ZTD data shows the bias and rms for GZTD2 are −0.3 and 3.9 cm respectively, indicating higher accuracy and reliability for geodesy technology compared to GZTD and other commonly used ZTD models.
Y. B. Yao, Q. Z. Zhao, and B. Zhang
Ann. Geophys., 34, 143–152, https://doi.org/10.5194/angeo-34-143-2016, https://doi.org/10.5194/angeo-34-143-2016, 2016
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Existing water vapor tomographic methods use Global Navigation Satellite System (GNSS) signals penetrating the entire research area while they do not consider signals passing through its sides. To solve this issue, an approach which uses GPS data with both signals that pass the side and top of a research area is proposed. The advantages of proposed approach include improving the utilization of existing GNSS observations and increasing the number of voxels crossed by satellite signals.
Y. B. Yao, X. X. Lei, Q. Liu, C. Y. He, B. Zhang, and L. Zhang
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-2-3533-2014, https://doi.org/10.5194/nhessd-2-3533-2014, 2014
Manuscript not accepted for further review
Y. B. Yao, P. Chen, S. Zhang, and J. J. Chen
Nat. Hazards Earth Syst. Sci., 13, 375–384, https://doi.org/10.5194/nhess-13-375-2013, https://doi.org/10.5194/nhess-13-375-2013, 2013
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Short summary
There is limited discourse on the influence of the different analysis-center-based state-space representation (SSR) corrections on the accuracy of real-time zenith tropospheric delay (RT ZTD). Our primary objective is to compare the real-time precise point positioning (RT-PPP) performance and RT-PPP-derived ZTD accuracy and availability based on different SSR products. The findings serve as a valuable reference for selecting SSR products in RT-PPP-derived ZTD.
There is limited discourse on the influence of the different analysis-center-based state-space...
