Results 51 to 60 of about 732,269 (162)

Variation of Global Ionospheric Scintillation and Its Effect on GPS Kinematic PPP‐AR Performance During Geomagnetic Storms in Solar Cycle 25: A Statistical Analysis

Space Weather, Volume 24, Issue 10, October 2026.
Abstract Enhanced small‐scale ionospheric irregularities during geomagnetic storms can disturb Global Navigation Satellite System (GNSS) carrier‐phase tracking and are associated with reduced stability of ambiguity‐fixed precise point positioning (PPP‐AR), but their impact on kinematic positioning remains insufficiently quantified.
Dongsheng Zhao, Qichen Zhao, Shuanglei Cui, Kefei Zhang, Longjiang Li, Wang Li, Zhongchao Shi, Craig M. Hancock   +7 more
wiley   +1 more source

Determination of Tropospheric Parameters from ERA Surface Data for Space Geodetic Techniques

Remote Sensing, 2021
This study investigates methods of deriving meteorological parameters needed in space geodetic applications, from the surface data of the numerical weather model (NWM).
Wei Li, Yujin He
doaj   +1 more source

GPS-Derived zenith tropospheric delay assimilation into numeric atmosphere model

, 2020
© 2014 SPIE. The total zenith tropospheric delay (ZTD) is an important parameter of the atmosphere and directly or indirectly reflects the weather processes and variations.
Khutorova O., Khutorov V., Jouravlev A., Krasnov V.   +3 more
core  

Assessment of GNSS PPP-Based Zenith Tropospheric Delay [PDF]

, 2020
This study assesses the precision of zenith tropospheric delay (ZTD) obtained through triple-constellation global navigation satellite system (GNSS) precise point positioning (PPP).
El-Rabbany, Ahmed, Ahmed El-Rabbany, Mohamed Abdelazeem, Abdelazeem, Mohamed   +3 more
core   +1 more source

The Role of Tectonic Inheritance in Active Rift Seismicity and Magmatism: Constraints From 3‐D Gravity Inversion and D‐InSAR Modeling of the 2025 Fentale Swarm, Ethiopia

Geophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract The role of inherited lithospheric structures in active rift seismicity and magma intrusion remains a key uncertainty in continental breakup dynamics. We investigate the January 2025 Northern Main Ethiopian Rift swarm using constrained 3‐D gravity inversion and D‐InSAR observations to characterize crustal architecture, seismicity, and active ...
Denberu Besfat, Tilahun Mammo
wiley   +1 more source

Establishment of a Real-Time Local Tropospheric Fusion Model

Remote Sensing, 2019
The tropospheric delay is one major error source affecting the precise positioning provided by the global navigation satellite system (GNSS). This error occurs because the GNSS signals are refracted while travelling through the troposphere layer ...
Yibin Yao, Xingyu Xu, Chaoqian Xu, Wenjie Peng, Yangyang Wan   +4 more
doaj   +1 more source

Obtaining Local‐Tie Vectors From Short‐Baseline Interferometry Between Legacy S/X and VGOS Telescopes at Ny‐Ålesund

Radio Science, Volume 61, Issue 9, September 2026.
Abstract With the ongoing transition for geodetic Very Long Baseline Interferometry (VLBI) from the use of legacy S/X telescopes to the VLBI Global Observing System (VGOS), it is necessary to connect the new VGOS network to the existing legacy S/X telescopes.
Rebekka Handirk, Eskil Varenius, Tobias Nilsson, Karine Le Bail, Rubén Bolaño González, Susana Garcia‐Espada, Axel Meldahl, Thomas Gasmoe, Silje Agnes Grøslie Wennesland, Oddvar Bråvold Tangen, Halfdan Pascal Kierulf   +10 more
wiley   +1 more source

A Global Model for Estimating Tropospheric Delay and Weighted Mean Temperature Developed with Atmospheric Reanalysis Data from 1979 to 2017

Remote Sensing, 2019
Precise modeling of tropospheric delay and weighted mean temperature (Tm) is critical for Global Navigation Satellite System (GNSS) positioning and meteorology.
Zhangyu Sun, Bao Zhang, Yibin Yao
doaj   +1 more source

Variability of GPS-derived zenith tropospheric delay and some result of its assimilation into numeric atmosphere model

, 2020
The total zenith tropospheric delay (ZTD) is an important parameter of the atmo- sphere and directly or indirectly reflects the weather processes and variations.
Khutorova O., Khutorov V., Kalinnikov V., Kurbangaliev T., Teptin G.   +4 more
core  

Robust Machine Learning–Based Ionospheric Delay Grid Modeling for PPP‐RTK Under Sparse Reference Stations and Severe Geomagnetic Disturbance

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Sparse reference station networks and severe geomagnetic disturbances can significantly degrade the accuracy of regional ionospheric delay modeling at the network side, thereby reducing the positioning performance of PPP‐RTK. To address this issue, this study proposes a machine learning‐based ionospheric delay grid modeling method that finely ...
Linyu He, Weiping Jiang, Hua Chen, Xingyu Zhou, Tianjun Liu, Jie He, Jie Ding   +6 more
wiley   +1 more source