Articles | Volume 36, issue 4
https://doi.org/10.5194/angeo-36-1037-2018
https://doi.org/10.5194/angeo-36-1037-2018
Regular paper
 | 
31 Jul 2018
Regular paper |  | 31 Jul 2018

An optimal tropospheric tomography approach with the support of an auxiliary area

Qingzhi Zhao, Yibin Yao, Wanqiang Yao, and Pengfei Xia

Related authors

Multi-GNSS real-time tropospheric delay retrieval based on SSR products from different analysis centers
Wanqiang Yao, Haoran Huang, Xiongwei Ma, Qi Zhang, Yibin Yao, Xiaohu Lin, Qingzhi Zhao, and Yunzheng Huang
Ann. Geophys. Discuss., https://doi.org/10.5194/angeo-2024-8,https://doi.org/10.5194/angeo-2024-8, 2024
Revised manuscript accepted for ANGEO
Short summary
An improved pixel-based water vapor tomography model
Yibin Yao, Linyang Xin, and Qingzhi Zhao
Ann. Geophys., 37, 89–100, https://doi.org/10.5194/angeo-37-89-2019,https://doi.org/10.5194/angeo-37-89-2019, 2019
Short summary
Influence of station density and multi-constellation GNSS observations on troposphere tomography
Qingzhi Zhao, Kefei Zhang, and Wanqiang Yao
Ann. Geophys., 37, 15–24, https://doi.org/10.5194/angeo-37-15-2019,https://doi.org/10.5194/angeo-37-15-2019, 2019
Capturing the signature of heavy rainfall events using the 2-d-/4-d water vapour information derived from GNSS measurement in Hong Kong
Qingzhi Zhao, Yibin Yao, and Wanqiang Yao
Ann. Geophys. Discuss., https://doi.org/10.5194/angeo-2018-76,https://doi.org/10.5194/angeo-2018-76, 2018
Manuscript not accepted for further review
Short summary
A troposphere tomography method considering the weighting of input information
Qingzhi Zhao, Yibin Yao, and Wanqiang Yao
Ann. Geophys., 35, 1327–1340, https://doi.org/10.5194/angeo-35-1327-2017,https://doi.org/10.5194/angeo-35-1327-2017, 2017
Download
Short summary
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.