Results 1 to 10 of about 680,086 (211)

A Regional NWP Tropospheric Delay Inversion Method Based on a General Regression Neural Network Model [PDF]

open access: yesSensors, 2020
Tropospheric delay is a major error source that affects the initialization and re-initialization speed of the Global Navigation Satellite System’s (GNSS) medium-/long-range baseline in Network Real-Time Kinematic (NRTK) positioning.
Guolin Liu
exaly   +4 more sources

Evaluation of InSAR Tropospheric Delay Correction Methods in the Plateau Monsoon Climate Region Considering Spatial–Temporal Variability [PDF]

open access: yesSensors, 2023
The tropospheric delay caused by the temporal and spatial variation of meteorological parameters is the main error source in interferometric synthetic aperture radar (InSAR) applications for geodesy.
Qihang Yang   +3 more
doaj   +2 more sources

Kriging Interpolation in Modelling Tropospheric Wet Delay [PDF]

open access: yesAtmosphere, 2020
This contribution implements the Kriging interpolation in predicting the tropospheric wet delays using global navigation satellite system networks. The predicted tropospheric delays can be used in strengthening the precise point positioning models and numerical weather prediction models.
Dimitrios Psychas   +2 more
exaly   +5 more sources

An Interferometric Synthetic Aperture Radar Tropospheric Delay Correction Method Based on a Global Navigation Satellite System and a Backpropagation Neural Network: More Suitable for Areas with Obvious Terrain Changes [PDF]

open access: yesSensors, 2023
Atmospheric delay correction remains a major challenge for interferometric synthetic aperture radar (InSAR) technology. In this paper, we first reviewed several commonly used methods for tropospheric delay correction in InSAR.
Liangcai Qiu   +5 more
doaj   +2 more sources

Refining the ERA5-based global model for vertical adjustment of zenith tropospheric delay

open access: yesSatellite Navigation, 2022
Tropospheric delay is an important factor affecting high precision Global Navigation Satellite System (GNSS) positioning and also the basic data for GNSS atmospheric research.
Lilong Liu, Junyu Li, Liangke Huang
exaly   +2 more sources

Impact of Tropospheric Delay Gradients on Total Tropospheric Delay and Precise Point Positioning

open access: yesInternational Journal of Geosciences, 2016
GPS signals are electromagnetic waves that are affected by the Earth’s atmosphere. The Earth’s atmosphere can be categorized, according to its effect on GPS signals, into the ionosphere (ionospheric delay) and neutral atmosphere (tropospheric delay).
Mohamed Elsobeiey
exaly   +3 more sources

Empirical modeling of tropospheric delays with uncertainty [PDF]

open access: yesGeoscientific Model Development
Accurate modeling of tropospheric delay is important for high-precision data analysis of space geodetic techniques, such as the Global Navigation Satellite System (GNSS).
J. Wang   +6 more
doaj   +4 more sources

Accuracy Evaluation and Analysis of GNSS Tropospheric Delay Inversion from Meteorological Reanalysis Data

open access: yesRemote Sensing, 2022
Accurate estimation of tropospheric delay is significant for global navigation satellite system’s (GNSS) high-precision navigation and positioning. However, due to the random and contingent changes in weather conditions and water vapor factors, the ...
Guolin Liu, Guanwen Huang, Ce Jing
exaly   +3 more sources

A New Global Tropospheric Delay Model Considering the Spatiotemporal Variation Characteristics of ZTD With Altitude Coefficient

open access: yesEarth and Space Science, 2020
Tropospheric delay error is independent of the signal's frequency and has strong spatiotemporal variation. It is one of the most severe error sources of satellite navigation and spatial measurement. In view of the limitation of global zenith tropospheric
Hang Liu, Peng Chen
exaly   +2 more sources

The Effects of Higher-Order Ionospheric Terms on GPS Tropospheric Delay and Gradient Estimates

open access: yesRemote Sensing, 2018
Atmospheric delays, e.g., ionospheric delay and tropospheric delay, are the dominant error sources for the Global Navigation Satellite System (GNSS), especially for Precise Point Positioning (PPP).
Fei Guo
exaly   +3 more sources

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