Articles | Volume 36, issue 4
https://doi.org/10.5194/angeo-36-969-2018
© Author(s) 2018. 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-36-969-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assessing water vapor tomography in Hong Kong with improved vertical and horizontal constraints
GNSS Research Center, Wuhan University, Wuhan 430079, China
Key Laboratory of Geospace Environment and Geodesy, Ministry of
Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Shirong Ye
CORRESPONDING AUTHOR
GNSS Research Center, Wuhan University, Wuhan 430079, China
Peng Jiang
School of Resources and Environmental Engineering, Anhui University,
Hefei, 230601, China
Lin Pan
Key Laboratory of Geospace Environment and Geodesy, Ministry of
Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road,
Wuhan 430079, China
Min Guo
School of Surveying and Land Information Engineering, Henan
Polytechnic University, Jiaozuo 454000, China
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We first present a novel method of monitoring the UHI intensity using GNSS data. We overcomes two major challenges in the algorithm development. The first challenge is the determination of the GNSS tomographic top grid height, and the second challenge is the estimation of temperature from wet refractivity. The result shows that the proposed algorithm can achieve an accuracy of 1.2 K at a 95 % confidence level.
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This study focused on the extraction of the atmospheric excess phases using the non-difference processing strategy. The COSMIC POD processing is used to accurately determine the position and velocity of the centre of mass of the satellite and the receiver offset based on PANDA software. Finally, the bending angle, refractive and dry temperature profiles are taken from AEP using ROPP software.
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Ann. Geophys., 34, 789–799, https://doi.org/10.5194/angeo-34-789-2016, https://doi.org/10.5194/angeo-34-789-2016, 2016
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The near-real-time high spatial resolution of atmospheric water vapor distribution is vital in numerical weather prediction. GPS tomography technique has been proved effectively for three-dimensional water vapor reconstruction. In this study, the tomography processing is optimized in a few aspects by the aid of radiosonde and COSMIC historical data, including the accuracy improvement of tropospheric zenith hydrostatic delay and precipitable water vapor conversion factor.
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Short summary
We proposed a new method to determine the scale height of water vapor, which will improve the quality of vertical constraints. Then, the smoothing factor in the horizontal constraint was determined based on ERA-Interim products. The evaluation results show that the water vapor density quality obtained by the optimized technique is 13.8 % better below 3.8 km and 8.1 % better above 3.8 km than that obtained by the traditional technique.
We proposed a new method to determine the scale height of water vapor, which will improve the...