Importance of Hydrostatic Delay Models in Deriving PWV from GPS Signal Delays

Shilpa Manandhar, Y. Lee, Yu Song Meng
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Abstract

Studies have shown that Precipitable Water Vapor (PWV) derived from the Global Positioning System (GPS) signal delays are useful in remote sensing applications like rainfall prediction. The GPS-PWV values are derived from the zenith Wet Delays (ZW D). The accuracy of the GPS-PWV values largely depends on the accuracy of ZW D values, which are depended on the accuracy of the Zenith Hydrostatic Delays (ZHD). In this paper, the effect of different ZHD models on the GPS-PWV values are analyzed using 1 year of data from 6 different GPS stations. It was found that the performance of the different ZHD models varies as per the location and an optimum ZHD model is suggested for the different regions.
静压延迟模型在GPS信号延迟中求PWV的重要性
研究表明,来自全球定位系统(GPS)信号延迟的可降水量(PWV)在降雨预测等遥感应用中非常有用。GPS-PWV的精度很大程度上取决于ZW - D的精度,而ZW - D的精度又取决于ZW - D的精度。本文利用6个不同GPS站点1年的数据,分析了不同ZHD模式对GPS- pwv值的影响。研究发现,不同区域的ZHD模型的性能存在差异,并提出了适合不同区域的最佳ZHD模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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