High-Precision ZTD Model of Altitude-Related Correction

Zhao, Qingzhi; Jing, Su; Xu, Chaoqian; Yao, Yibin; Zhang, Xiaoya; Wu, Jifeng

doi:10.1109/jstars.2022.3228917

Cited by 38 publications

(15 citation statements)

References 43 publications

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“…However, Qingdao is a coastal city with high water vapor saturation, and tropospheric delay has changed significantly in space and time, resulting in a severe phase delay of the SAR echo signals and tropospheric errors in the land subsidence monitoring results of the SBAS InSAR. 34 Howard et al 35 suggested that a 20% spatiotemporal variation in relative water vapor humidity in the atmosphere can lead to deformation errors of 10 to 14 cm in InSAR. In response to this problem, Wang et al used SBAS InSAR, based on generic atmospheric correction online service (GACOS) data, to monitor land subsidence in Southern California, Kunming City, and Eastern China, and proved the feasibility of using GACOS to remove atmospheric delay.…”

Section: Introductionmentioning

confidence: 99%

“…These studies provide an important reference and scientific basis for investigating land subsidence in Qingdao and provide auxiliary data to implement corresponding governance measures to avoid serious collapse accidents. However, Qingdao is a coastal city with high water vapor saturation, and tropospheric delay has changed significantly in space and time, resulting in a severe phase delay of the SAR echo signals and tropospheric errors in the land subsidence monitoring results of the SBAS InSAR 34 . Howard et al 35 .…”

Section: Introductionmentioning

confidence: 99%

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Monitoring of land subsidence by combining small baseline subset interferometric synthetic aperture radar and generic atmospheric correction online service in Qingdao City, China

Li,

Tao,

Chen

et al. 2024

J. Appl. Rem. Sens.

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Owing to accelerated urbanization, land subsidence has damaged urban infrastructure and impeded sustainable economic and social development in Qingdao City, China. Combining interferometric synthetic aperture radar (InSAR) and generic atmospheric correction online service (GACOS), atmospheric correction has not yet been investigated for land subsidence in Qingdao. A small baseline subset of InSAR (SBAS InSAR), GACOS, and 28 Sentinel-1A images were combined to produce a land subsidence time series from January 2019 to December 2020 for the urban areas of Qingdao, and the spatiotemporal evolution of land subsidence before and after GACOS atmospheric correction was compared, analyzed, and verified using leveling data. Our work demonstrates that the overall surface condition of the Qingdao urban area is stable, and subsidence areas are mainly concentrated in the coastal area of Jiaozhou Bay, northwestern Jimo District, and northern Chengyang District. The GACOS atmospheric correction could reduce the root-mean-square error of the differential interferometric phase. The land subsidence time series after correction was in better agreement with the leveling-monitored results. It is effective to perform GACOS atmospheric correction to improve the accuracy of SBAS InSARmonitored land subsidence over a large scale and long time series in coastal cities.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring of land subsidence by combining small baseline subset interferometric synthetic aperture radar and generic atmospheric correction online service in Qingdao City, China

Li,

Tao,

Chen

et al. 2024

J. Appl. Rem. Sens.

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“…The part due to the troposphere is termed tropospheric delay, which is an important error source in GNSS high-precision positioning (Ma et al 2022). Several studies have shown that high-precision tropospheric delay can effectively accelerate the convergence speed of precise point positioning (PPP) and improve the accuracy of positioning accuracy (Zhao et al 2022;Bahadur 2022;Huang et al 2023). In addition, ZTD is widely used in numerical weather forecasts and climate monitoring (Zhao et al 2020;Li et al 2021;Liu et al 2022).…”

Section: Introductionmentioning

confidence: 99%

A new tropospheric delay combination prediction model based on time series decomposition and deep learning

Xu,

Yue,

ShangGuan

et al. 2024

Preprint

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Zenith tropospheric delay (ZTD) prediction is of great significance for high-precision navigation. However, ZTD modeling has proved to be challenging due to the presence of linear and nonlinear characteristics. In this paper, we propose a combination ZTD prediction model (SLA), which considers the trend-based and seasonal variations respectively. It decomposes ZTD time series via seasonal-trend decomposition procedure based on loess (STL), individually predicting nonlinear components with long short-term memory network (LSTM) and linear components with autoregressive integrated moving average model (ARIMA). Finally, the individual predictions are recombined. The SLA model is compared with LSTM, extreme learning machine model (ELM), ARIMA, and the empirical global pressure and temperature (GPT3) model. The SLA model shows the best result in all models by analyzing the evaluation indicators including root mean square error (RMSE, 1.32 cm), the average normalized root mean square error (NRMSE, 0.56%), mean absolute error (MAE, 0.98 cm) and the mean coefficient of determination (R2, 0.83). In addition, the data of different months was tested separately, and the result showed that the SLA model has the best performance of ZTD prediction. Moreover, the SLA model has good results up to 12h, with RMSE < 1.60 cm, NRMSE < 0.7%, MAE < 1.25 cm, and R2 > = 0.75. This study provides a new model to predict the ZTD, which is helpful for the precise positioning of GNSS and can be further applied in the study of meteorology.

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“…With the advancement of global navigation satellite system (GNSS), the remarkable advantages of high accuracy, all-weather capability, high spatial-temporal resolution, and low cost-effectiveness have positioned it as an emerging and robust tool in remotely sensing PWV, which has gradually evolved into a mature field known as GNSS meteorology [10][11][12][13][14][15][16] . When electromagnetic wave signals pass through the troposphere, they are influenced by atmospheric effects, resulting in refraction and bending of satellite signals.…”

Section: Introductionmentioning

confidence: 99%

A method for constructing the weighted mean temperature grid model considering the hourly near-surface temperature lapse rate in GNSS PWV

Yue,

Wang,

et al. 2024

Preprint

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Weighted mean temperature (Tm) serves as a crucial parameter in converting tropospheric zenith wet delay into precipitable water vapor in global navigation satellite system meteorology. Different from the traditional strategy, this study developed a new method of atmospheric Tm grid model construction with high precision and high spatiotemporal resolution while taking into account the hourly near-surface air temperature lapse rates (NSTLR). Core research contents include the regional hourly NSTLR estimation and Tm grid model establishment. This proposed method was validated and analyzed using measured data from 109 meteorological stations in Shandong Province, located in eastern China. The result shows that compared with the correction by environmental lapse rate, the overall accuracy of the Tm grid model established by the hourly NSTLR correction can be improved by about 10.3% and 19.4%, respectively, when Tm reference values calculated based on the measured temperature and ERA5 reanalysis data were used. Furthermore, statistics show that for the Taishan Station with the highest altitude (1543 meters), the accuracy can be increased by 21.1% and 28.7%, respectively. Therefore, the proposed method is of great practical significance for the Tm construction by using ground-based meteorological observation, especially for the areas with large terrain changes.

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High-Precision ZTD Model of Altitude-Related Correction

Cited by 38 publications

References 43 publications

Monitoring of land subsidence by combining small baseline subset interferometric synthetic aperture radar and generic atmospheric correction online service in Qingdao City, China

Monitoring of land subsidence by combining small baseline subset interferometric synthetic aperture radar and generic atmospheric correction online service in Qingdao City, China

A new tropospheric delay combination prediction model based on time series decomposition and deep learning

A method for constructing the weighted mean temperature grid model considering the hourly near-surface temperature lapse rate in GNSS PWV

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