Results 1 to 10 of about 711,710 (171)

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.
Lei Li   +5 more
doaj   +4 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.
Ge Zhu   +5 more
doaj   +3 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

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

Evaluation of Empirical Tropospheric Models Using Satellite-Tracking Tropospheric Wet Delays with Water Vapor Radiometer at Tongji, China

open access: yesSensors, 2016
An empirical tropospheric delay model, together with a mapping function, is commonly used to correct the tropospheric errors in global navigation satellite system (GNSS) processing.
Miaomiao Wang, Bofeng Li
doaj   +3 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   +6 more
doaj   +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
Peng Chen   +3 more
doaj   +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).
Zhiyu Zhang, Fei Guo, Xiaohong Zhang
doaj   +3 more sources

An ERA5‐Based Model for Estimating Tropospheric Delay and Weighted Mean Temperature Over China With Improved Spatiotemporal Resolutions

open access: yesEarth and Space Science, 2019
Tropospheric delay is an important error source in Global Navigation Satellite System (GNSS) positioning and can also be used in water vapor monitoring.
Zhangyu Sun, Bao Zhang, Yibin Yao
doaj   +2 more sources

PERFORMANCE OF NUMERICAL WEATHER PRODUCTS FOR INSAR TROPOSPHERIC CORRECTION: A CASE STUDY OF A TROPICAL REGION [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Tropospheric delay variability remains a significant source of error in the InSAR-derived measurements. Numerical weather models have been proposed as an alternative technique to mitigate tropospheric delays in InSAR and have become a standard procedure ...
P. Kirui, P. Kirui, B. Riedel, M. Gerke
doaj   +1 more source

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