Articles | Volume 32, issue 8
https://doi.org/10.5194/angeo-32-911-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/angeo-32-911-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regular paper
| 
06 Aug 2014
Regular paper |
| 06 Aug 2014
Near real-time water vapor tomography using ground-based GPS and meteorological data: long-term experiment in Hong Kong
P. Jiang
GNSS Research Center, Wuhan University, Wuhan, 430079, China
S. R. Ye
GNSS Research Center, Wuhan University, Wuhan, 430079, China
Y. Y. Liu
GNSS Research Center, Wuhan University, Wuhan, 430079, China
J. J. Zhang
CMA, Institute of Urban Meteorology, Beijing, 100089, China
P. F. Xia
GNSS Research Center, Wuhan University, Wuhan, 430079, China
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- A Method to Improve the Distribution of Observations in GNSS Water Vapor Tomography F. Yang et al. 10.3390/s18082526
- Maximally Using GPS Observation for Water Vapor Tomography Y. Yao & Q. Zhao 10.1109/TGRS.2016.2597241
- Analysis of GNSS-Derived Tropospheric Zenith Non-Hydrostatic Delay Anomaly during Sandstorms in Northern China on 15th March 2021 M. Zhou et al. 10.3390/rs14184678
- Optimization of GPS water vapor tomography technique with radiosonde and COSMIC historical data S. Ye et al. 10.5194/angeo-34-789-2016
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- An Adaptive Non-Uniform Vertical Stratification Method for Troposphere Water Vapor Tomography H. Wang et al. 10.3390/rs13193818
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