Performance analysis of NOAA tropospheric signal delay model
Performance analysis of NOAA tropospheric signal delay model
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DOI：
10.1088/0957-0233/22/11/115107
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发表时间：
2011-11-01
影响因子：
2.4
通讯作者：
El-Rabbany, Ahmed
中科院分区：
文献类型：
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作者：
Ibrahim, Hassan E.;El-Rabbany, Ahmed
对流层延迟是全球定位系统 (GPS) 的主要误差之一，它会降低定位精度。对流层建模的最新发展依赖于更准确的数值天气预报（NWP）模型的实施。在北美，基于 NWP 的对流层校正模型之一是 NOAA 对流层信号延迟模型 (NOAATrop)，该模型由美国国家海洋和大气管理局 (NOAA) 开发。由于其具有提高GPS定位精度的潜力，NOATrop模型成为许多研究人员关注的焦点。在本文中，我们分析了 NOATrop 模型的性能，并检验了其对基于无电离层的精密单点定位 (PPP) 解决方案的影响。我们分别为 NOAATrop 模型、Hopfield 模型和国际 GNSS 服务 (IGS) 最终对流层校正产品生成了 3 年长的对流层天顶总延迟 (ZTD) 数据系列。这些数据集是在加拿大和美国的十个 IGS 参考站生成的。我们分析了 NOATrop ZTD 数据系列，并将其与 Hopfield 模型的数据系列进行了比较。 IGS 最终对流层产品用作参考。分析表明，NOAATrop 模型的性能是季节（一年中的时间）和地理位置的函数。然而，它的性能在所有情况下都优于 Hopfield 模型。我们进一步研究了实施 NOAATrop 模型对基于无电离层的 PPP 解收敛性和精度的影响。结果表明，使用 NOATrop 模型将纬度、经度和高度分量的 PPP 解收敛性分别提高了 1%、10% 和 15%。
Tropospheric delay is one of the dominant global positioning system (GPS) errors, which degrades the positioning accuracy. Recent development in tropospheric modeling relies on implementation of more accurate numerical weather prediction (NWP) models. In North America one of the NWP-based tropospheric correction models is the NOAA Tropospheric Signal Delay Model (NOAATrop), which was developed by the US National Oceanic and Atmospheric Administration (NOAA). Because of its potential to improve the GPS positioning accuracy, the NOAATrop model became the focus of many researchers. In this paper, we analyzed the performance of the NOAATrop model and examined its effect on ionosphere-free-based precise point positioning (PPP) solution. We generated 3 year long tropospheric zenith total delay (ZTD) data series for the NOAATrop model, Hopfield model, and the International GNSS Services (IGS) final tropospheric correction product, respectively. These data sets were generated at ten IGS reference stations spanning Canada and the United States. We analyzed the NOAATrop ZTD data series and compared them with those of the Hopfield model. The IGS final tropospheric product was used as a reference. The analysis shows that the performance of the NOAATrop model is a function of both season (time of the year) and geographical location. However, its performance was superior to the Hopfield model in all cases. We further investigated the effect of implementing the NOAATrop model on the ionosphere-free-based PPP solution convergence and accuracy. It is shown that the use of the NOAATrop model improved the PPP solution convergence by 1%, 10% and 15% for the latitude, longitude and height components, respectively.