Evaluation of InSAR Tropospheric Delay Correction Methods in the Plateau Monsoon Climate Region Considering Spatial–Temporal Variability [PDF]
Sensors, 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 +3 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]
Sensors, 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 +3 more sources
Refining the ERA5-based global model for vertical adjustment of zenith tropospheric delay
Satellite 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 +4 more sources
Remote 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 +4 more sources
A Regional NWP Tropospheric Delay Inversion Method Based on a General Regression Neural Network Model [PDF]
Sensors, 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
Transformer-Based Global Zenith Tropospheric Delay Forecasting Model
Remote Sensing, 2022 Zenith tropospheric delay (ZTD) plays an important role in high-precision global navigation satellite system (GNSS) positioning and meteorology. At present, commonly used ZTD forecasting models comprise empirical, meteorological parameter, and neural network models.
Huan Zhang +4 more
semanticscholar +5 more sources
Multi-GNSS-Weighted Interpolated Tropospheric Delay to Improve Long-Baseline RTK Positioning. [PDF]
Sensors (Basel), 2022 Until now, RTK (real-time kinematic) and NRTK (Network-based RTK) have been the most popular cm-level accurate positioning approaches based on Global Navigation Satellite System (GNSS) signals in real-time. The tropospheric delay is a major source of RTK
Mirmohammadian F +3 more
europepmc +2 more sources
Tropospheric Delay Model Based on VMF and ERA5 Reanalysis Data
Applied 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
Improving the Vertical Modeling of Tropospheric Delay [PDF]
Geophysical Research Letters, 2022 AbstractAccurate tropospheric delays from Numerical Weather Models (NWM) are an important input to space geodetic techniques, especially for precise real‐time Global Navigation Satellite Systems, which are indispensable to earthquake and tsunami early warning systems as well as weather forecasting.
Wang, Jungang +12 more
openaire +4 more sources
Analysis on the performances of the GNSS tropospheric delay correction models [PDF]
E3S Web of Conferences, 2022 Tropospheric delay is one of the important factors affecting GNSS positioning accuracy, and there are different ways to deal with the multiple measurement situations.
Liu Jiaxi, Chang Zhanqiang, Zheng Haoxin
doaj +2 more sources