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Volume 36, issue 4 | Copyright
Ann. Geophys., 36, 969-978, 2018
https://doi.org/10.5194/angeo-36-969-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Regular paper 09 Jul 2018

Regular paper | 09 Jul 2018

Assessing water vapor tomography in Hong Kong with improved vertical and horizontal constraints

Pengfei Xia1,2, Shirong Ye1, Peng Jiang3, Lin Pan2,4, and Min Guo5 Pengfei Xia et al.
  • 1GNSS Research Center, Wuhan University, Wuhan 430079, China
  • 2Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
  • 3School of Resources and Environmental Engineering, Anhui University, Hefei, 230601, China
  • 4School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
  • 5School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China

Abstract. In this study, we focused on the retrieval of atmospheric water vapor density by optimizing the tomography technique. First, we established a new atmospheric weighted average temperature model that considers the effects of temperature and height, assisted by Constellation Observing System for Meteorology, Ionosphere and Climate (COSMIC) products. Next, we proposed a new method to determine the scale height of water vapor, which will improve the quality of vertical constraints. Finally, we determined the smoothing factor in the horizontal constraint based on Interim European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-Interim) products. To evaluate the advantages of the optimized technique over the traditional method, we used GPS datasets collected in Hong Kong in August 2016 to estimate the vertical distribution of water vapor density using both methods. We further validated the tomography results from the optimized technique using radiosonde products. The results show that the water vapor density quality obtained by the optimized technique is 13.8% better below 3.8km and 8.1% better above 3.8km than that obtained by the traditional technique. We computed the success rate of the tomography technique based on the Pearson product-moment correlation coefficient (PCC) and root mean square (RMS). The success rate of the optimized topography technique was approximately 10% higher than that of the traditional tomography method.

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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...
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