Validation and Calibration of Tropospheric Wet Delay Models over Nigeria Using GPS Data

IF 0.8 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Samuel Ogunjo, Joseph Dada
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引用次数: 0

Abstract

Tropospheric delay play a critical role in satellite communication. Due to lack of measuring instruments, tropospheric wet delays are often estimated using empirical models. In this study, we investigated the performance of four (Saastamoinen, Callahan, Mendes, and Berman) models in four tropical locations within Nigeria. By comparing with GPS data, our results showed that the models generate errors on the same magnitude as the measurement data. The Saastamoinen and Mendes models were found to have the best performance amongst the four models at the monthly and annual scale. At the annual scale, RMSE values of 0.12–0.18 and 0.11–0.16 were obtained for Saastamoinen and Mendes models, respectively, compared to 0.19–0.29 for both Callahan and Berman models. In order to improve the performance of the wet delay models, calibration of their parameters was carried out. It was observed that the new parameters improved the performance of the models significantly. The results in this study will help reduce the uncertainties associated with estimating wet delays in tropical regions.

Abstract Image

利用全球定位系统数据验证和校准尼日利亚对流层湿延迟模型
对流层延迟在卫星通信中起着至关重要的作用。由于缺乏测量仪器,对流层湿延迟通常使用经验模型进行估算。在这项研究中,我们调查了四个模型(Saastamoinen、Callahan、Mendes 和 Berman)在尼日利亚四个热带地点的性能。通过与全球定位系统数据进行比较,我们的结果表明,这些模型产生的误差与测量数据的误差幅度相同。在四个模型中,Saastamoinen 和 Mendes 模型在月尺度和年尺度上的性能最好。在年尺度上,Saastamoinen 和 Mendes 模型的 RMSE 值分别为 0.12-0.18 和 0.11-0.16,而 Callahan 和 Berman 模型的 RMSE 值均为 0.19-0.29。为了提高湿延迟模型的性能,对其参数进行了校准。结果表明,新参数大大提高了模型的性能。这项研究的结果将有助于减少与热带地区湿延迟估算相关的不确定性。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
37
审稿时长
>12 weeks
期刊介绍: To promote research in all the branches of Science & Technology; and disseminate the knowledge and advancements in Science & Technology
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