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.
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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。
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