Results 11 to 20 of about 732,198 (160)

Estimation and Evaluation of Zenith Tropospheric Delay from Single and Multiple GNSS Observations

open access: yesRemote Sensing, 2023
Multi-Global Navigation Satellite Systems (multi-GNSS) (including GPS, BDS, Galileo, and GLONASS) provide a significant opportunity for high-quality zenith tropospheric delay estimation and its applications in meteorology.
Sai Xia, Shuanggen Jin, Xuzhan Jin
doaj   +2 more sources

Tropospheric Delay Model Based on VMF and ERA5 Reanalysis Data

open access: yesApplied Sciences, 2023
The global tropospheric zenith delay grid products of VMF1 and VMF3 (Vienna mapping functions) with different resolutions are used to calculate the tropospheric zenith delay of eight IGS (International GNSS Service) stations in China, and the accuracy of
Mengtao Zhang   +4 more
doaj   +2 more sources

A Tropospheric Zenith Delay Forecasting Model Based on a Long Short-Term Memory Neural Network and Its Impact on Precise Point Positioning

open access: yesRemote Sensing, 2022
Global navigation satellite system (GNSS) signals are affected by refraction when traveling through the troposphere, which result in tropospheric delay. Generally, the tropospheric delay is estimated as an unknown parameter in GNSS data processing.
Huan Zhang   +6 more
doaj   +2 more sources

An improved global zenith tropospheric delay model GZTD2 considering diurnal variations [PDF]

open access: yesNonlinear Processes in Geophysics, 2016
The zenith tropospheric delay (ZTD) is an important atmospheric parameter in the wide application of global navigation satellite systems (GNSS) technology in geoscience.
Y. Yao, Y. Hu, C. Yu, B. Zhang, J. Guo
doaj   +3 more sources

A New Global ZTD Forecast Model Based on Improved LSTM Neural Network

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Zenith tropospheric delay (ZTD), consisting of zenith hydrostatic delay (ZHD) and zenith wet delay (ZWD), is a significant contributor to errors in precise positioning using the global navigation satellite system (GNSS) precise point positioning (PPP ...
Lin He   +7 more
doaj   +2 more sources

Global Assessment of the GNSS Single Point Positioning Biases Produced by the Residual Tropospheric Delay

open access: yesRemote Sensing, 2021
The tropospheric delay is one of the main error sources that degrades the accuracy of Global Navigation Satellite Systems (GNSS) Single Point Positioning (SPP).
Ling Yang   +3 more
doaj   +2 more sources

Zenith Wet Delay (ZWD) Seasonal Correlation with Rainfall in Cikapundung River Discharge, North Bandung Region, Indonesia [PDF]

open access: yesE3S Web of Conferences, 2019
In a GPS survey study, the biases produced by the ionosphere and troposphere layers are known as ionospheric biases and troposphere bias. The distance deviation due to the slowing travel time of GPS signals in troposphere is commonly referred to as ...
Kuntjoro Wedyanto   +4 more
doaj   +3 more sources

Improved Zenith Tropospheric Delay Modeling Using the Piecewise Model of Atmospheric Refractivity

open access: yesRemote Sensing, 2020
As one of the atmosphere propagation delays, the tropospheric delay is a significant error source that should be properly handled in high-precision global navigation satellite system (GNSS) applications.
Liu Yang   +4 more
doaj   +2 more sources

An optimized BP neural network for modeling zenith tropospheric delay in the Chinese mainland using coupled particle swarm and genetic algorithm

open access: yesGeo-spatial Information Science
Tropospheric delay influences high-precision navigation positioning and precipitable water vapor retrieval with the Global Navigation Satellite System (GNSS).
Liangke Huang   +6 more
doaj   +2 more sources

Refinement of global gridded ray-traced Zenith tropospheric delay over Nigeria based on local GNSS network observations

open access: yesGeosystems and Geoenvironment, 2023
Recent studies on the application of Zenith Tropospheric Delay (ZTD) in meteorology and geodesy have shown improved accuracy with the use of locally estimated ZTD compared to Global ZTD.
Ifechukwu Ugochukwu Nzelibe
exaly   +3 more sources

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