Dynamic stochastic model for estimating GNSS tropospheric delays from air-borne platforms

Zhang, Zhenyi; Lou, Yidong; Zhang, Weixing; Wang, Zhipeng; Zhou, Yaozong; Bai, Jingna; Zhang, Zhixuan; Shi, Chuang

doi:10.1007/s10291-022-01375-4

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…Furthermore, the piecewise function and stratification methods have been verified to be applicable and feasible for the vertical correction of ZWD (Li et al, 2015;Hu and Yao, 2019;Zhu et al, 2022). With the development of GNSS infrastructure, moving platforms such as unmanned aerial vehicle (UAV), shipborne and moving vehicles provide massive spatial data for navigation and positioning (Wang et al, 2022;Zhang et al, 2023).…”

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confidence: 99%

An improved global pressure and ZWD model with optimized vertical correction considering the spatial-temporal variability of multiple height scale factors

Jiang,

Gao,

Zhu

et al. 2024

Preprint

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Abstract. Atmospheric pressure and Zenith wet delay (ZWD) are essential for GNSS tropospheric correction and precipitable water vapor (PWV) retrieval. As the development progresses of real-time GNSS kinematic technology, moving platforms such as airborne and shipborne require high-quality tropospheric delay information to pre-correct errors. Most existing tropospheric models are only applicable to the Earth surface, while exhibiting poor accuracies in high-altitude areas due to simple vertical fitting functions and limited temporal resolution of the underlying parameters. Hence, an improved global empirical pressure and ZWD model is developed using 5-years ERA5 hourly reanalysis data, called IGPZWD, which takes seasonal and intraday variations into consideration. The vertical accuracy and applicability of IGPZWD model are further optimized by introducing the annual and semi-annual harmonics for pressure and ZWD height scale factors of exponential function with three orders. Taking the ERA5 and radiosonde profiles data in 2020 as reference, the pressure and ZWD of IGPZWD model show superior performance than those of three state-of-the-art models, i.e., GPT3, IGPT and GTrop. Furthermore, IGPZWD-predicted ZTD yields improvements of up to 65.7 %, 2.4 % and 7.8 % over that of GPT3, RGPT3 and GTrop models on a global scale respectively. The proposed vertical correction algorithm effectively weakens the impact of accumulation error caused by excessive height difference, achieving optimal accuracy and feasibility in the high-altitude area. The IGPZWD model can be extensively applied in GNSS kinematic precision positioning as well as atmospheric water vapor sounding.

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mentioning

confidence: 99%

An improved global pressure and ZWD model with optimized vertical correction considering the spatial-temporal variability of multiple height scale factors

Jiang,

Gao,

Zhu

et al. 2024

Preprint

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The Influence of Varying Atmospheric and Space Weather Conditions on the Accuracy of Position Determination

Nowakowski¹,

Dudek

Rosiński

2023

Sensors

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Today’s technological developments make it possible to use machines to perform specific tasks instead of humans. However, the challenge for such autonomous devices is to precisely move and navigate in constantly changing external environments. In this paper, the influence of varying weather conditions (air temperature, humidity, wind speed, atmospheric pressure, type of satellite systems used/satellites visible, and solar activity) on the accuracy of position determination was analyzed. To reach the receiver, a satellite signal must travel a great distance and pass through all layers of the Earth’s atmosphere, the variability of which causes errors and delays. Moreover, the weather conditions for receiving data from satellites are not always favorable. In order to investigate the impact of delays and errors on position determination, the measurements of the satellite signal were conducted, the motion trajectories were determined, and the standard deviations of these trajectories were compared. The results obtained show that it is possible to achieve high precision in determining the position, but varying conditions, such as solar flares or satellites’ visibility, meant that not all measurements are able to achieve the required accuracy. The use of the absolute method of satellite signal measurements contributed to this to a large extent. To increase the accuracy of positioning by GNSS systems, it is first of all proposed to use a dual-frequency receiver that eliminates ionospheric refractions.

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An improved global pressure and zenith wet delay model with optimized vertical correction considering the spatiotemporal variability in multiple height-scale factors

Jiang,

Gao,

Zhu

et al. 2024

Geosci. Model Dev.

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Abstract. Atmospheric pressure and zenith wet delay (ZWD) are essential for global navigation satellite system (GNSS) tropospheric correction and precipitable water vapor (PWV) retrieval. As the development progresses of real-time GNSS kinematic technology, moving platforms, such as airborne and shipborne, require high-quality tropospheric delay information to pre-correct errors. Most existing tropospheric models are only applicable to the Earth's surface and exhibit poor accuracies in high-altitude areas due to simple vertical fitting functions and limited temporal resolution of the underlying parameters. Hence, an improved global empirical pressure and ZWD model is developed using 5-year ERA5 hourly reanalysis data, called IGPZWD, which takes seasonal and intraday variations into consideration. The vertical accuracy and applicability of IGPZWD model are further optimized by introducing the annual and semi-annual harmonics for pressure and ZWD height-scale factors of exponential function with three orders. Taking the ERA5 and radiosonde profile data in 2020 as reference, the pressure and ZWD of IGPZWD model show superior performance compared to those of three state-of-the-art models, i.e., GPT3, IGPT, and GTrop. Furthermore, IGPZWD-predicted zenith tropospheric delay (ZTD) yields improvements of up to 65.7 %, 2.4 %, and 7.8 % over that of GPT3, RGPT3, and GTrop models on a global scale, respectively. The proposed vertical correction algorithm effectively weakens the impact of accumulation error caused by excessive height difference, achieving optimal accuracy and feasibility in the high-altitude area. The IGPZWD model can be extensively applied in GNSS kinematic precision positioning, as well as atmospheric water vapor sounding.

show abstract

Dynamic stochastic model for estimating GNSS tropospheric delays from air-borne platforms

Cited by 3 publications

References 27 publications

An improved global pressure and ZWD model with optimized vertical correction considering the spatial-temporal variability of multiple height scale factors

An improved global pressure and ZWD model with optimized vertical correction considering the spatial-temporal variability of multiple height scale factors

The Influence of Varying Atmospheric and Space Weather Conditions on the Accuracy of Position Determination

An improved global pressure and zenith wet delay model with optimized vertical correction considering the spatiotemporal variability in multiple height-scale factors

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