对流层映射函数对GNSS反演可降水量的影响分析
Analysis of the influence of tropospheric mapping function on GNSS inversion precipitable water vapor
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摘要: 对流层映射函数是将对流层天顶延迟转化为信号传播路径上总延迟的重要模型,选择合适的映射函数对反演大气可降水量(PWV)精度的提高具有十分重要的意义.本文研究了对流层映射函数对反演PWV精度的影响,选取VMF1、GMF、NMF 3种映射函数,利用GAMIT解算比较3种映射函数在不同季节、不同高度角对网基线解算以及反演PWV的精度影响.结果表明,在进行PWV反演时,选择10°高度角作为解算截止高度角的GMF函数模型反演精度最佳,为进一步提高GNSS水汽反演的实时精度提供了参考.Abstract: The tropospheric mapping function is an important model for transforming the zenith tropospheric delay into the total delay on the signal propagation path. Choosing an appropriate mapping function is of great significance for retrieving the accuracy of atmospheric precipitation water vapor(PWV). In this paper, the influence of tropospheric mapping function on the inversion of atmospheric PWV accuracy is studied. Select three kinds of mapping functions, VMF1, GMF and NMF, and use GAMIT software to compare the three mapping functions in different seasons and different altitudes. Retrieving the accuracy impact of atmospheric PWV. The results show that the inversion accuracy of the GMF function model with 10° elevation angle as the solution cutoff height angle is the best when the atmospheric precipitation is inverted, Which provides a reference for further improving the real-time accuracy of GNSS atmospheric water vapor inversion.