Articles | Volume 37, issue 1
https://doi.org/10.5194/angeo-37-89-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/angeo-37-89-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An improved pixel-based water vapor tomography model
Yibin Yao
CORRESPONDING AUTHOR
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079,
China
Key Laboratory of Geospace Environment and Geodesy, Ministry of
Education, Wuhan University, Wuhan 430079, China
Linyang Xin
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079,
China
Qingzhi Zhao
College of Geomatics, Xi'an University of Science and Technology,
Xi'an 710054, China
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Wanqiang Yao, Haoran Huang, Xiongwei Ma, Qi Zhang, Yibin Yao, Xiaohu Lin, Qingzhi Zhao, and Yunzheng Huang
Ann. Geophys., 42, 455–472, https://doi.org/10.5194/angeo-42-455-2024, https://doi.org/10.5194/angeo-42-455-2024, 2024
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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.
C. Ouyang, J. Shi, W. Peng, X. Dong, J. Guo, and Y. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 679–686, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-679-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-679-2023, 2023
Zhaohui Xiong, Bao Zhang, and Yibin Yao
Ann. Geophys., 37, 25–36, https://doi.org/10.5194/angeo-37-25-2019, https://doi.org/10.5194/angeo-37-25-2019, 2019
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A comparison between the GNSS tomography technique and WRFDA in retrieving wet refractivity (WR) is conducted in HK during a wet period and a dry period. The results show that both of them can retrieve good WR. In most of the cases, the WRFDA output outperforms the tomographic WR, but the tomographic WR is better than the WRFDA output in the lower troposphere in the dry period. By assimilating better tomographic WR in the lower troposphere into the WRFDA, we slightly improve the retrieved WR.
YiBin Yao and YuFeng Hu
Ann. Geophys., 36, 1507–1519, https://doi.org/10.5194/angeo-36-1507-2018, https://doi.org/10.5194/angeo-36-1507-2018, 2018
Qingzhi Zhao, Yibin Yao, Wanqiang Yao, and Pengfei Xia
Ann. Geophys., 36, 1037–1046, https://doi.org/10.5194/angeo-36-1037-2018, https://doi.org/10.5194/angeo-36-1037-2018, 2018
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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.
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
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This paper captures the signature of heavy rainfall events using the 2-d-/4-d water vapour information derived from GNSS measurement in Hong Kong. The paper first analyzed the relationship between the two-dimensional (2-d) precipitable water vapour (PWV) and rainfall. And then, the four-dimensional (4-d) variations of atmospheric water vapour derived from the GNSS tomographic technique are discussed, especially in the vertical irection. Finally, some interesting results are found and presented.
Yibin Yao, Xingyu Xu, and Yufeng Hu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2018-227, https://doi.org/10.5194/amt-2018-227, 2018
Revised manuscript not accepted
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
Qingzhi Zhao and Yibin Yao
Ann. Geophys., 35, 87–95, https://doi.org/10.5194/angeo-35-87-2017, https://doi.org/10.5194/angeo-35-87-2017, 2017
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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.
Yibin Yao, Yufeng Hu, Chen Yu, Bao Zhang, and Jianjian Guo
Nonlin. Processes Geophys., 23, 127–136, https://doi.org/10.5194/npg-23-127-2016, https://doi.org/10.5194/npg-23-127-2016, 2016
Short summary
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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
Short summary
Short summary
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
Wanqiang Yao, Haoran Huang, Xiongwei Ma, Qi Zhang, Yibin Yao, Xiaohu Lin, Qingzhi Zhao, and Yunzheng Huang
Ann. Geophys., 42, 455–472, https://doi.org/10.5194/angeo-42-455-2024, https://doi.org/10.5194/angeo-42-455-2024, 2024
Short summary
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.
C. Ouyang, J. Shi, W. Peng, X. Dong, J. Guo, and Y. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 679–686, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-679-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-679-2023, 2023
Zhaohui Xiong, Bao Zhang, and Yibin Yao
Ann. Geophys., 37, 25–36, https://doi.org/10.5194/angeo-37-25-2019, https://doi.org/10.5194/angeo-37-25-2019, 2019
Short summary
Short summary
A comparison between the GNSS tomography technique and WRFDA in retrieving wet refractivity (WR) is conducted in HK during a wet period and a dry period. The results show that both of them can retrieve good WR. In most of the cases, the WRFDA output outperforms the tomographic WR, but the tomographic WR is better than the WRFDA output in the lower troposphere in the dry period. By assimilating better tomographic WR in the lower troposphere into the WRFDA, we slightly improve the retrieved WR.
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
YiBin Yao and YuFeng Hu
Ann. Geophys., 36, 1507–1519, https://doi.org/10.5194/angeo-36-1507-2018, https://doi.org/10.5194/angeo-36-1507-2018, 2018
Qingzhi Zhao, Yibin Yao, Wanqiang Yao, and Pengfei Xia
Ann. Geophys., 36, 1037–1046, https://doi.org/10.5194/angeo-36-1037-2018, https://doi.org/10.5194/angeo-36-1037-2018, 2018
Short summary
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.
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
Short summary
This paper captures the signature of heavy rainfall events using the 2-d-/4-d water vapour information derived from GNSS measurement in Hong Kong. The paper first analyzed the relationship between the two-dimensional (2-d) precipitable water vapour (PWV) and rainfall. And then, the four-dimensional (4-d) variations of atmospheric water vapour derived from the GNSS tomographic technique are discussed, especially in the vertical irection. Finally, some interesting results are found and presented.
Yibin Yao, Xingyu Xu, and Yufeng Hu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2018-227, https://doi.org/10.5194/amt-2018-227, 2018
Revised manuscript not accepted
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
Qingzhi Zhao and Yibin Yao
Ann. Geophys., 35, 87–95, https://doi.org/10.5194/angeo-35-87-2017, https://doi.org/10.5194/angeo-35-87-2017, 2017
Short summary
Short summary
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.
Yibin Yao, Yufeng Hu, Chen Yu, Bao Zhang, and Jianjian Guo
Nonlin. Processes Geophys., 23, 127–136, https://doi.org/10.5194/npg-23-127-2016, https://doi.org/10.5194/npg-23-127-2016, 2016
Short summary
Short summary
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
Short summary
Short summary
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
Related subject area
Subject: Terrestrial atmosphere and its relation to the sun | Keywords: Instruments and techniques
A numerical method to improve the spatial interpolation of water vapor from numerical weather models: a case study in South and Central America
Laura I. Fernández, Amalia M. Meza, M. Paula Natali, and Clara E. Bianchi
Ann. Geophys., 37, 1181–1195, https://doi.org/10.5194/angeo-37-1181-2019, https://doi.org/10.5194/angeo-37-1181-2019, 2019
Short summary
Short summary
Integrated water vapor (IWV) values from ERA-Interim and MERRA-2 were compared to IWV from GNSS at 67 stations in Central and South America over a 7-year period (2007–2013). The comparison considered the geopotential height differences and the mean IWV values at each station. The discrepancies between IWV from the models and IWV GNSS rose as the geopotential height difference increased. We proposed a numerical correction that compensates for this effect, which was tested with IWV ERA-Interim.
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Short summary
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.
In this paper, we propose an improved pixel-based water vapor tomography model, which uses...