Results 1 to 10 of about 122 (119)

Kinematic Zenith Tropospheric Delay Estimation with GNSS PPP in Mountainous Areas [PDF]

Sensors, 2021
The use of global navigation satellite systems (GNSS) precise point positioning (PPP) to estimate zenith tropospheric delay (ZTD) profiles in kinematic vehicular mode in mountainous areas is investigated.
Paul Gratton, Simon Banville, Gérard Lachapelle, Kyle O’Keefe   +3 more
doaj   +2 more sources

Hourly PWV Dataset Derived from GNSS Observations in China [PDF]

Sensors, 2019
The rapid variation of atmospheric water vapor is important for a regional hydrologic cycle and climate change. However, it is rarely investigated in China, due to the lack of a precipitable water vapor (PWV) dataset with high temporal resolution ...
Qingzhi Zhao, Pengfei Yang, Wanqiang Yao, Yibin Yao   +3 more
doaj   +2 more sources

A new zenith hydrostatic delay model for real-time retrievals of GNSS-PWV [PDF]

Atmospheric Measurement Techniques, 2021
The quality of the zenith hydrostatic delay (ZHD) could significantly affect the accuracy of the zenith wet delay (ZWD) of the Global Navigation Satellite System (GNSS) signal, and from the ZWD precipitable water vapor (PWV) can be obtained.
L. Li, L. Li, S. Wu, S. Wu, K. Zhang, K. Zhang, K. Zhang, X. Wang, W. Li, W. Li, Z. Shen, Z. Shen, D. Zhu, D. Zhu, Q. He, Q. He, M. Wan, M. Wan   +17 more
doaj   +1 more source

Analysis of systematic biases in tropospheric hydrostatic delay models and construction of a correction model [PDF]

Geoscientific Model Development, 2023
In the field of space geodetic techniques, such as global navigation satellite systems (GNSSs), tropospheric zenith hydrostatic delay (ZHD) is chosen as the a priori value of tropospheric total delay.
H. Fan, S. Li, Z. Sun, G. Xiao, X. Li, X. Liu   +5 more
doaj   +1 more source

A Calibrated GPT3 (CGPT3) Model for the Site-Specific Zenith Hydrostatic Delay Estimation in the Chinese Mainland and Its Surrounding Areas

Remote Sensing, 2022
The prior zenith hydrostatic delay (ZHD) is an essential parameter for the Global Navigation Satellite System (GNSS) and very long baseline interferometry (VLBI) high-precision data processing. Meanwhile, the precise ZHD facilitates the separation of the
Junyu Li, Feijuan Li, Lilong Liu, Liangke Huang, Lv Zhou, Hongchang He   +5 more
doaj   +1 more source

The Influence of Different Modelling Factors on Global Temperature and Pressure Models and Their Performance in Different Zenith Hydrostatic Delay (ZHD) Models [PDF]

Remote Sensing, 2019
Surface temperature and pressure are indispensable variables in Global Navigation Satellite System (GNSS) meteorology. The lack of meteorological observations located at or near the GNSS sites is a big challenge for the calculation of accurate zenith hydrostatic delay (ZHD).
Fei Yang, Xiaolin Meng, Jiming Guo, Junbo Shi, Xiangdong An, Qiyi He, Lv Zhou   +6 more
openaire   +1 more source

A Regional Model for Predicting Tropospheric Delay and Weighted Mean Temperature in China Based on GRAPES_MESO Forecasting Products

Remote Sensing, 2021
Accurate tropospheric delay (TD) and weighted mean temperature (Tm) are important for Global Navigation Satellite System (GNSS) positioning and GNSS meteorology.
Liying Cao, Bao Zhang, Junyu Li, Yibin Yao, Lilong Liu, Qishun Ran, Zhaohui Xiong   +6 more
doaj   +1 more source

Assessment of the Accuracy of the Saastamoinen Model and VMF1/VMF3 Mapping Functions with Respect to Ray-Tracing from Radiosonde Data in the Framework of GNSS Meteorology

Remote Sensing, 2020
In this paper, we assess, in the framework of Global Navigation Satellite System (GNSS) meteorology, the accuracy of GNSS propagation delays corresponding to the Saastamoinen zenith hydrostatic delay (ZHD) model and the Vienna Mapping function VMF1/VMF3 (
Peng Feng, Fei Li, Jianguo Yan, Fangzhao Zhang, Jean-Pierre Barriot   +4 more
doaj   +1 more source

A Comprehensive Evaluation of Key Tropospheric Parameters from ERA5 and MERRA-2 Reanalysis Products Using Radiosonde Data and GNSS Measurements

Remote Sensing, 2021
Tropospheric delay is a major error source in the Global Navigation Satellite System (GNSS), and the weighted mean temperature (Tm) is a key parameter in precipitable water vapor (PWV) retrieval. Although reanalysis products like the National Centers for
Lijie Guo, Liangke Huang, Junyu Li, Lilong Liu, Ling Huang, Bolin Fu, Shaofeng Xie, Hongchang He, Chao Ren   +8 more
doaj   +1 more source

Retrieving Precipitable Water Vapor from Real-Time Precise Point Positioning Using VMF1/VMF3 Forecasting Products

Remote Sensing, 2021
Real-time precise point positioning (RT-PPP) has become a powerful technique for the determination of the zenith tropospheric delay (ZTD) over a GPS (global positioning system) or GNSS (global navigation satellite systems) station of interest, and the ...
Peng Sun, Kefei Zhang, Suqin Wu, Moufeng Wan, Yun Lin   +4 more
doaj   +1 more source