Performance of ray-traced VMF3 products in retrieving Zenith Tropospheric Delay over the African tropical region

Ssenyunzi, Richard Cliffe; Andima, Geoffrey; Amabayo, Emirant B.; Realini, Eugenio

doi:10.1016/j.jastp.2023.106014

Cited by 4 publications

(1 citation statement)

References 27 publications

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“…Ssenyunzi et al. (2023) used the VMF3 to estimated ZTD values for the tropical region of Africa. Yuan et al.…”

Section: Introductionmentioning

confidence: 99%

Comparing Discrete and Empirical Troposphere Delay Models: A Global IGS‐Based Evaluation

Yao,

Yang,

et al. 2024

Radio Science

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Zenith tropospheric delay (ZTD) is an important atmospheric parameter in radio‐space‐geodetic techniques such as Global Navigation Satellite System (GNSS), which is pivotal for GNSS positioning, navigation and meteorology. The Vienna Mapping Function (VMF) data server is a widely utilized source for implementing ZTD, offering two types of models, that is, the empirical one and the discrete one with Grid‐wise and Site‐wise models. Therefore, to evaluate the accuracy of these models becomes the focus of this article. Specifically, this study investigates their performances in terms of calculation of ZTD, using the hourly values derived from the International GNSS Service data as references. The results show that the root mean square err (RMSE) of the Site‐wise, Grid‐wise and global pressure and temperature 3 model are 11.71/13.03/38.56 mm, respectively, indicating the discrete model performs generally better than the empirical model, and the Site‐wise model is the better of the two discrete models. From the perspective of spatial resolution, the performance of these three models in ZTD calculation shows obvious influences of latitude changes and elevation differences. From the temporal analysis, the accuracy of the discrete model shows differences over different UTC epochs, while the empirical model can only express the seasonal ZTD characteristics with the average RMSE at different epochs being similar, the specifically values are 39.67, 39.26, 39.38 and 39.18 mm at UTC 0:00, 6:00, 12:00 and 18:00, respectively. The histogram and boxplot well indicate the accuracy differences of the three models in different seasons. Additionally, the time series of three models at different latitudes were also explored in this research. These explorations are conducive to the selection of appropriate models for calculating ZTD based on specific requirements.

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“…Ssenyunzi et al. (2023) used the VMF3 to estimated ZTD values for the tropical region of Africa. Yuan et al.…”

Section: Introductionmentioning

confidence: 99%

Comparing Discrete and Empirical Troposphere Delay Models: A Global IGS‐Based Evaluation

Yao,

Yang,

et al. 2024

Radio Science

View full text Add to dashboard Cite

show abstract

Assessment of ERA5 derived zenith tropospheric delay data over East African region

Ssenyunzi,

Andima,

Amabayo

et al. 2024

Advances in Space Research

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Performance of spatial interpolation methods in predicting GNSS zenith total delay

Akar,

Inal

2024

Measurement

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Performance of ray-traced VMF3 products in retrieving Zenith Tropospheric Delay over the African tropical region

Cited by 4 publications

References 27 publications

Comparing Discrete and Empirical Troposphere Delay Models: A Global IGS‐Based Evaluation

Comparing Discrete and Empirical Troposphere Delay Models: A Global IGS‐Based Evaluation

Assessment of ERA5 derived zenith tropospheric delay data over East African region

Performance of spatial interpolation methods in predicting GNSS zenith total delay

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