文章基本信息

标题：Numerical weather modeling-based slant tropospheric delay estimation and its enhancement by GNSS data
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作者：Lei Yang ; Chris Hill ; Terry Moore 等
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2013
卷号：16
期号：3
页码：186-200
DOI：10.1080/10095020.2013.817107
出版社：Taylor and Francis Ltd
摘要：Unmitigated tropospheric delay is one of the major error sources in precise point positioning (PPP). Precise Slant Tropospheric Delay (STD) estimation could help to provide cleaner observables for PPP, and improve its convergence, accuracy, and stability.STD is difficult to model accurately due to the rapid spatial and temporal variation of the water vapor in the troposphere. In the traditional approach, the STD is mapped from the zenith direction, which assumes a spherically symmetric local tropospheric profile and has limitations. In this paper, a new approach of directly estimating the STD from high resolution numerical weather modeling (NWM) products is introduced. This approach benefits from the best available meteorological information to improve real time STD estimation, with the RMS residual lower than 3.5 cm above 15° elevation, and 2 cm above 30°. Therefore, the new method can provide sufficient accuracy to improve PPP convergence time. To improve the performance of the new method in highly variable tropospheric conditions, a correction scheme is proposed which combines NWM information with multi-GNSS observations from a network of local continuously operating reference stations. It is demonstrated through a case study that this correction scheme is quite effective in reducing the STD estimation residuals and PPP convergence time.
关键词：slant troposphere delay; numerical weather modeling \(NWM\); precise point positioning \(PPP\); multi GNSS