Results 21 to 30 of about 468,339 (258)

Gravity waves propagation in the thermosphere observed from electron density profile and total electron content measurements

Annals of Geophysics, 1997
Ionospheric observations with five minute intervals between ionograms were made during a campaign from 19th to 23rd June 1996 at the Rome station (41.8N, 12.5E).
C. Scotto, M. Pezzopane, L. Ciraolo, C. Bianchi, M. Anzidei   +4 more
doaj   +1 more source

Total Electron Content PCA-NN Prediction Model for South-European Middle Latitudes

Atmosphere, 2023
A regression-based model was previously developed to forecast total electron content (TEC) at middle latitudes. We present a more sophisticated model using neural networks (NN) instead of linear regression.
Anna Morozova, Teresa Barata, Tatiana Barlyaeva, Ricardo Gafeira   +3 more
doaj   +1 more source

Total electron content at low latitudes

Journal of Earth System Science, 1978
Radio beacon from ATS-6 at 140 MHz was used to measure the changes in the polarization angle (Faraday rotation) at Bombay, Rajkot, Ahmedabad, Udaipur and Patiala during October 1975 to July 1976. In this paper, results of diurnal, seasonal and latitudinal variations in total electron content (TEC) derived from these measurements are reported.
Malkiat Singh, H S Gurm, M R Deshpande, R G Rastogi, G Sethia, A R Jain, A V Janve, R K Rai, V M Patwari, B S Subbarao   +9 more
openaire   +2 more sources

Evolutionary Prediction of Total Electron Content over Cyprus [PDF]

, 2010
Total Electron Content (TEC) is an ionospheric characteristic used to derive the signal delay imposed by the ionosphere on trans-ionospheric links and subsequently overwhelm its negative impact in accurate position determination. In this paper, an Evolutionary Algorithm (EA), and particularly a Genetic Programming (GP) based model is designed.
Alexandros Agapitos, Andreas Konstantinidis 0002, Haris Haralambous, Harris Papadopoulos   +3 more
openaire   +2 more sources

Spatiotemporal Prediction of Ionospheric Total Electron Content Based on ED-ConvLSTM

Remote Sensing, 2023
Total electron content (TEC) is a vital parameter for describing the state of the ionosphere, and precise prediction of TEC is of great significance for improving the accuracy of the Global Navigation Satellite System (GNSS).
Liangchao Li, Haijun Liu, Huijun Le, Jing Yuan, Weifeng Shan, Ying Han, Guoming Yuan, Chunjie Cui, Junling Wang   +8 more
doaj   +1 more source

Total Electron Content Studies of the Ionosphere

, 1973
Abstract : Radio waves that pass through the earth's ionosphere travel more slowly than their free space velocity due to the group path delay of the ionosphere. This group path delay, directly proportional to the total electron content of the ionosphere, can be an important source of error to VHF, UHF and L-band satellite detection radars and satellite
Jules Aarons, Douglas R. Seeman, Santi Basu, Michael Mendillo, John A. Klobuchar   +4 more
openaire   +2 more sources

Derivations of the Total Radiation Belt Electron Content

Journal of Geophysical Research: Space Physics
AbstractWe present multiple derivations of the Total Radiation Belt Electron Content (TRBEC), an indicator of the global number of electrons that instantaneously occupy the radiation belts. Derived from electron flux measurements, the TRBEC reduces the spatial information into a scalar quantity that concisely describes global aspects of the system ...
Jared C. Pitzel, Christopher M. Cully, Jean‐Francois Ripoll, Vivien Loridan, Chia‐Lin Huang, Harlan E. Spence, Geoff D. Reeves, Kyle R. Murphy   +7 more
openaire   +2 more sources

Long‐term trends in the total electron content

Geophysical Research Letters, 2017
AbstractThe total electron content (TEC) is important among others for Global Navigation Satellite Systems/GPS signal propagation and applications. However, there is only one comprehensive analysis of TEC trends, and the resulted trends are not consistent with trends in other ionospheric parameters. Here we use the TEC data of Lean et al.
Jan Lastovicka, Jaroslav Urbar, Michal Kozubek   +2 more
openaire   +3 more sources

Storm-Time Relative Total Electron Content Modelling Using Machine Learning Techniques

Remote Sensing, 2022
Accurately predicting total electron content (TEC) during geomagnetic storms is still a challenging task for ionospheric models. In this work, a neural-network (NN)-based model is proposed which predicts relative TEC with respect to the preceding 27-day ...
Marjolijn Adolfs, Mohammed Mainul Hoque, Yuri Y. Shprits   +2 more
doaj   +1 more source

Geometric quality term for station-based total electron content estimation

Annals of Geophysics, 2016
Global ionospheric maps (GIMs) are still commonly used to represent total electron content (TEC). However, a large number of permanent GPS receivers provide significant data for monitoring ionosphere.
Murat Selim Çepni, Erman Şentürk
doaj   +1 more source