科研之友
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摘要
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 3.8 km and 8.1% better above 3.8 km 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.
