Results 41 to 50 of about 865 (172)

Gravity Wave Influences on MSTID Climatology Over CONUS: WACCM‐X Year‐Long Simulation and GNSS Long‐Term Observation

Journal of Geophysical Research: Space Physics, Volume 131, Issue 6, June 2026.
Abstract Medium‐Scale Traveling Ionospheric Disturbances (MSTIDs) are prominent wave‐like structures in the ionosphere, with complex generation mechanisms involving both atmospheric gravity waves (GWs) and electrodynamic instabilities such as the Perkins instability (PI).
Jing Liu, Shun‐Rong Zhang, Hanli Liu, Anthea J. Coster, Philip J. Erickson   +4 more
wiley   +1 more source

A Retrospective of Global Navigation Satellite System Ionospheric Irregularities Monitoring Networks in Brazil

Journal of Aerospace Technology and Management, 2023
The use of Global Navigation Satellite System (GNSS) for air and terrestrial navigation and for many applications is increasing in the last decades. However, the Earth’s ionosphere causes GNSS signal delay due to the total electron content (TEC) and ...
Eurico Rodrigues de Paula, João Francisco Galera Monico, Ítalo Hirokazu Tsuchiya, Cesar Enrique Valladares, Sônia Maria Alves Costa, Leonardo Marini-Pereira, Bruno César Vani , Alison de Oliveira Moraes   +7 more
doaj  

Complex analysis of the ionospheric response to operation of “Progress” cargo spacecraft according to the data of GNSS receivers in Baikal region

Solar-Terrestrial Physics, 2017
As part of the Plasma–Progress and Radar–Progress space experiments conducted from 2006 to 2014, effects of the Progress spacecraft engines on the ionosphere have been studied using data from Global Navigation Satellite System (GNSS) receivers.
Ishin A.B., Voeykov S.V., Perevalova N.P., Khakhinov V.V.   +3 more
doaj   +1 more source

Investigation on Horizontal and Vertical Traveling Ionospheric Disturbances Propagation in Global‐Scale Using GNSS and Multi‐LEO Satellites

Space Weather, 2022
Global Navigation Satellite System (GNSS) observations from worldwide ground‐based stations have been extensively used in traveling ionospheric disturbance (TID) detections.
Xiaodong Ren, Dengkui Mei, Hang Liu, Xiaohong Zhang   +3 more
doaj   +1 more source

Accurate Ionospheric TEC Prediction With a Causal Attention Network at Northern EIA Crests

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract As the Sun approaches the peak of its 25th activity cycle, precise ionospheric forecasting has become increasingly challenging. Low‐latitude regions have emerged as a persistent bottleneck for space weather operations. Extensive evidence reveals that existing AI models exhibit significant performance degradation in these regions, demonstrating
Tong Liu, Wu Chen, Zexin Lu, Wenlong Zhang, Yuhang Lu, Feng Wang, Mengfei Sun, Wenfeng Nie, Junsheng Ding, Yufang He, Bo Chen   +10 more
wiley   +1 more source

Fine structure of a daytime mid-latitude sporadic-E revealed by GNSS TEC, InSAR, and MAI

Earth, Planets and Space
Combining the total electron content (TEC) data from two nationwide Global Navigation Satellite System (GNSS) networks in Japan with the L-band synthetic aperture radar (SAR) data, we reveal the fine spatial and temporal structure of a daytime sporadic-E
Tatsuya Fujimoto, Masato Furuya, Kosuke Heki   +2 more
doaj   +1 more source

A Deep Ensemble Transformer Model for Global Ionosphere Prediction and Uncertainty Quantification

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate global ionospheric forecasting is important for various purposes, from geophysical research to practical applications, including real‐time precise positioning and navigation. Existing studies primarily focus solely on deterministic predictions and often overlook uncertainty quantification.
Shuyin Mao, Junyang Gou, Benedikt Soja
wiley   +1 more source

Using GNSS TEC technique to observe compression of the plasmasphere by an interplanetary shock [PDF]

SCIENTIA SINICA Technologica, 2018
An interplanetary shock impinged on the Earth’s magnetosphere on 17 March 2015, and caused instant change of total electron content (TEC) measured by ground-based global positioning system (GPS) receivers. Hao et al. (2017) attributed the sudden TEC variation to magnetospheric compression by the shock, and in this paper we follow to examine the process
YongQiang HAO, QuanHan LI, DongHe ZHANG, Zuo XIAO, GuangLin YANG, Cong HUANG   +5 more
openaire   +1 more source

Ionospheric Data Fusion With GNSS, GNSS‐RO and Satellite Altimetry Based on Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Global Ionospheric Maps (GIMs) are essential in Global Navigation Satellite System (GNSS) applications, particularly for correcting ionospheric delays in single‐frequency positioning. GIMs are mainly derived from dual‐frequency GNSS observations, but the uneven distribution of ground stations—sparse over oceans—reduces accuracy in these ...
Marcel Iten, Shuyin Mao, Benedikt Soja
wiley   +1 more source

Granger causality analysis of deviation in total electron content during geomagnetic storms in the equatorial region

Journal of Engineering and Applied Science, 2021
The total electron content (TEC) in the ionosphere widely influences Global Navigation Satellite Systems (GNSS) especially for critical applications by inducing localized positional errors in the GNSS measurements.
Sumitra Iyer, Alka Mahajan
doaj   +1 more source