Existing water vapor tomographic methods use Global NavigationSatellite System (GNSS) signals penetrating the entire research area whilethey do not consider signals passing through its sides. This leads to thedecreasing use of observed satellite signals and allows for no signalscrossing from the bottom or edge areas especially for those voxels inresearch areas of interest. Consequently, the accuracy of the tomographicresults for the bottom of a research area, and the overall reconstructedaccuracy do not reach their full potential. To solve this issue, anapproach which uses GPS data with both signals that pass the side and top ofa research area is proposed. The advantages of proposed approach includeimproving the utilization of existing GNSS observations and increasing thenumber of voxels crossed by satellite signals. One point should be notedthat the proposed approach needs the support of radiosonde data insidethe tomographic region. A tomographic experiment was implemented usingobserved GPS data from the Continuously Operating Reference System (CORS)Network of Zhejiang Province, China. The comparison of tomographic resultswith data from a radiosonde shows that the root mean square error (RMS),bias, mean absolute error (MAE), and standard deviation (SD) of the proposedapproach are superior to those of the traditional method.
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