Assessment of the positioning performance and tropospheric delay retrieval with precise point positioning using products from different analysis centers

Zhou, Feng; Cao, Xinyun; Ge, Yulong; Li, Weiwei

doi:10.1007/s10291-019-0925-0

Cited by 43 publications

(26 citation statements)

References 29 publications

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“…Day of the year 1 through 31 in 2020 were chosen to investigate the Galileo and BeiDou orbit accuracy of rapid products derived by CODE, GFZ and WUHAN ACs. MGEX final product [10] was taken as a reference product for computing root mean square errors (RMSEs) of radial, alongtrack and cross-track components of the Galileo and BeiDou rapid products over the test period. CODE MGEX product provides the orbits for GPS, GLONASS, Galileo and BeiDou but excludes BeiDou geostationary (GEO) satellites due to the poor accuracy of GEO orbits [11].…”

Section: Methodsmentioning

confidence: 99%

Investigating the GALILEO and BeiDou orbit accuracy derived from rapid products

Öğütçü¹,

Alçay²,

Atiz³

2020

acperpro

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In recent years, the advances of the new Global Navigation Satellite System (GNSS) constellations including, Galileo and BeiDou (BDS), have undergone dramatic changes. Some analysis centers (ACs) produce precise orbit and clock products of Galileo and BeiDou constellations. Currently, three types of Galileo and BeiDou satellite orbit and clock products are available &ndash; namely, precise, rapid and ultra-rapid products &ndash;. Ultra-rapid and rapid products are generally used for time-constrained applications. Precise orbit determination (POD) of Galileo and BeiDou is much challenging compared with GPS and GLONASS constellations due to the officially undetermined receiver phase center offset (PCO), variations (PCV) of Galileo and BeiDou constellations and, also some other not well-defined factors such as yaw-attitude models and solar radiation pressure. In this study, GALILEO orbit accuracy is investigated using rapid products produced by Center for Orbit Determination in Europe (CODE) GeoForschungsZentrum (GFZ) and Wuhan University (WUHAN), while GFZ and WUHAN rapid products are used for BeiDou constellation only. One month (January) of data in 2020 is used to compute errors of radial, along-track, and cross-track components of Galileo and BeiDou orbit derived by rapid products compared with the CODE final Multi-GNSS Experiment (MGEX) product which is assumed as the reference product. The results show that no significant differences between the products are found for Galileo orbit. For BeiDou orbit, WUHAN rapid product produced the smaller root mean square errors (RMSEs) of orbit components compared with the GFZ rapid product.

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Section: Methodsmentioning

confidence: 99%

Investigating the GALILEO and BeiDou orbit accuracy derived from rapid products

Öğütçü¹,

Alçay²,

Atiz³

2020

acperpro

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“…Thus, a theoretical model was adopted by several studies to study the error in PWV resulting from (He et al, 2017;Huang et al, 2019a;Li et al, 2020;Wang et al, 2005Wang et al, , 2016. The relationship of the relative error between and PWV can be expressed as:…”

Section: Impact Of Ggntm On Pwvmentioning

confidence: 99%

“…To obtain GNSS-PWV over a station, the first step is to estimate the ZTD of the station from GNSS data processing, and the two most common data processing strategies are the network approach and precise point positioning (PPP) approach (Ding et al, 2017;Douša et al, 2016;Guerova et al, 2016;Li et al, 2015;Lu et al, 2015;Rohm et al, 2014;Yuan et al, 2014;Zhou et al, 2020). The former uses double-differenced observations, while the latter uses un-differenced observations in the observation equation system.…”

Section: Introductionmentioning

confidence: 99%

“…Yao et al (2014bYao et al ( , 2012Yao et al ( , 2013 used spherical harmonics to develop the GWMT, GTM-Ⅱ and GTM-Ⅲ models, in which both the height and the periodicity of were taken into account. (Huang et al, 2019b), GTm_R (Li et al, 2020) and GPT2wh (Yang et al, 2020). The GTrop model (Sun et al, 2019), developed for predicting both ZTD and , also took into account the lapse-rate, and it outperforms GPT2w obviously at altitudes under 10 km.…”

Section: Introductionmentioning

confidence: 99%

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A new global grid-based weighted mean temperature model considering vertical nonlinear variation

Sun¹,

Wu²,

Zhang³

et al. 2020

Preprint

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Abstract. Global Navigation Satellite Systems (GNSS) have been proved to be an excellent technology for retrieving precipitable water vapor (PWV). In GNSS meteorology, PWV at a station is obtained from a conversion of the zenith wet delay (ZWD) of GNSS signals received at the station using a conversion factor which is a function of weighted mean temperature (Tm) along the vertical direction in the atmosphere over the site. Thus, the accuracy of Tm directly affects the quality of the GNSS-derived PWV. Currently, the Tm value at a target height level is commonly modelled using the Tm value at a specific height and a simple linear decay function, whilst the vertical nonlinear variation in Tm is neglected. This may result in large errors in the Tm result for the target height level, as the variation trend in the vertical direction of Tm may not be linear. In this research, a new global grid-based Tm empirical model with a horizontal resolution of 1°×1°, named GGNTm, was constructed using ECMWF ERA5 monthly mean reanalysis data over the 10-year period from 2008 to 2017. A three-order polynomial function was utilized to fit the vertical nonlinear variation in Tm at the grid points, and the temporal variation in each of the four coefficients in the Tm fitting function was also modelled with the variables of the mean, annual and semi-annual amplitudes of the 10-year time series coefficients. The performance of the new model was evaluated using its predicted Tm values in 2018 to compare with the following two references in the same year 1) Tm from ERA5 hourly reanalysis with the horizontal resolution of 5°×5°; 2) Tm from atmospheric profiles from 428 globally distributed radiosonde stations. Compared to the first reference, the mean RMSEs of the model predicted Tm values over all global grid points at the 950 hPa and 500 hPa pressure levels were 3.35 K and 3.94 K respectively. Compared to the second reference, the mean bias and mean RMSE of the model predicted Tm values over the 428 radiosonde stations at the surface level were 0.34 K and 3.89 K respectively; the mean bias and mean RMSE of the model’s Tm values at all pressure levels in the height range from the surface to 10 km altitude were −0.16 K and 4.20 K respectively. The new model results were also compared with that of the GPT3, GTrop and GWMT_D models in which different height correction methods were also applied. Results indicated that significant improvements made by the new model were at high-altitude pressure levels; in all five height ranges, GGNTm results were generally unbiased, and their accuracy varied little with height. The impact of Tm on GNSS-PWV was evaluated in terms of relative error, and significant improvement was found compared to the widely used GPT3 model. These results suggest that considering the vertical nonlinear variation in Tm and the temporal variation in the coefficients of the Tm model can significantly improve the accuracy of model-predicted Tm for a GNSS receiver that is located in anywhere below the tropopause (assumed to be 10 km), which has significance for applications needing real-time or near real-time PWV converted from GNSS signals.

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“…However, the accuracy and reliability of PPP performance is mainly based on the quality of the clock and orbit products employed by the users. Hence, it is particularly important that efforts should be made to improve satellite clock and orbit products [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

An Investigation of Precise Orbit and Clock Products for BDS-3 from Different Analysis Centers

Shen

Fang

et al. 2021

Sensors

Self Cite

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A quality evaluation of precise products for BDS-3 constellations is presented for the first time in this contribution. Then, the tropospheric delay retrieval and positioning performance of BDS-3 precise point positioning (PPP) solutions using the precise products (gbm, wum, iac, sha, cnt) with observations from 24 stations from DOY 280 to 317 in 2020 was comprehensively investigated. The orbit comparisons present consistencies of 0.09–0.22 m for the C19–C37 satellites and of 0.5–1.2 m for the C38–C46 satellites among the final products. The standard deviation (STD) values of the clock differences of iac showed the best agreement with those of gbm, followed by wum, sha. The clock differences performance of cnt was the worst. For BDS-3 PPP solutions with five Analysis centers (ACs) products, the median convergence times of static PPP mode incorporating the gbm, wum, iac, sha, and cnt products were 31.0, 33.5, 34.5, 37.8, and 72.0 min, respectively; the median convergence times of kinematic PPP model incorporating the same products were 40.5, 41.0, 50.5, 55.0, and 94.0 min, respectively. The positioning accuracies in the static and kinematic modes were approximately 1–4 cm, 2–6 cm in the horizontal and vertical components, respectively. With the final products in kinematic mode, the performance of PPP with real-time products (cnt) is poorer than all PPP with final products. The median of ZTD accuracies of the five products gbm, wum, iac, sha, and cnt were 7.84, 7.58, 7.04, 7.19, and 10.1 mm, respectively, and the accuracy differences were very small among five AC products (gbm, wum, iac, sha).

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Assessment of the positioning performance and tropospheric delay retrieval with precise point positioning using products from different analysis centers

Cited by 43 publications

References 29 publications

Investigating the GALILEO and BeiDou orbit accuracy derived from rapid products

Investigating the GALILEO and BeiDou orbit accuracy derived from rapid products

A new global grid-based weighted mean temperature model considering vertical nonlinear variation

An Investigation of Precise Orbit and Clock Products for BDS-3 from Different Analysis Centers

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