Results 131 to 140 of about 865 (172)

POSITIONING ALGORITHMS AND IONOSPHERE TEC ESTIMATION BASED ON GNSS REGRESSION MODELS

open access: yesPOSITIONING ALGORITHMS AND IONOSPHERE TEC ESTIMATION BASED ON GNSS REGRESSION MODELS
openaire  

Assimilating GNSS TEC with an LETKF over Yunnan, China

open access: yesRemote Sensing, 2023
A robust ionospheric model is indispensable for providing the atmospheric delay corrections for global navigation satellite system (GNSS) navigation and positioning and forecasting the space environment. The accuracy of ionospheric models is limited due to the simplified model structures. Complicated spatiotemporal variations in total electron content (
Jun Tang, Shimeng Zhang, Dengpan Yang
exaly   +3 more sources

The TEC-GNSS analysis of the paroxysmal eruptive activity of Mt.Etna

2023
The ionosphere is a region of the upper atmosphere (50-1000 km a.s.l.) characterized by free electrons and ions produced mainly by solar radiations (UV, X) and subordinately by cosmic radiations (RAVANELLI, 2021). It’s a very sensitive plasma to energy variations, mostly the F2 layer (240-400 km a.s.l.) that is a region of maximum ionization ...
Federico Ferrara   +3 more
openaire   +1 more source

Ionospheric TEC modelling for earthquakes precursors from GNSS data

Quaternary International, 2017
Abstract In present study, we measured the Total Electron Content (TEC) variation in the ionosphere from Global Navigation Satellite System (GNSS) data which might have been induced by earthquakes in the Himalayan region. The results were analysed with other inducing factors (geomagnetic storm and solar flare) affecting TEC in order to constraint the
Gopal Sharma   +2 more
exaly   +2 more sources

Arctic TEC Mapping Using Integrated LEO-Based GNSS-R and Ground-Based GNSS Observations: A Simulation Study

IEEE Transactions on Geoscience and Remote Sensing, 2022
Lei Liu, Y Jade Morton, Yang Wang
exaly   +2 more sources

GNSS derived TEC data ingestion into IRI 2012

Advances in Space Research, 2015
Abstract Experimental vertical total electron content (VTEC) data given by Global Ionospheric Maps (GIM) has been ingested into the IRI version 2012, aiming to obtain grids of effective input parameter values that allow to minimize the difference between the experimental and modeled vertical TEC.
Yenca Migoya-Orué   +3 more
openaire   +1 more source

Periodicities in Global Mean TEC from GNSS Observations

Earth, Moon, and Planets, 2008
As an important measurement parameter, global total electron content (TEC) is appropriate for the study of the Sun–Earth connection. In this paper, the wavelet technique is employed to investigate the periodicities in global mean TEC during 1995–2008.
L. H. Ma, Y. B. Han, Z. Q. Yin
openaire   +1 more source

The Effect of GNSS Sites Distribution on TEC Derivation

2016
With worldwide increased Global Navigation Satellite System (GNSS) receivers, it is possible to obtain the ionospheric total electron content (TEC) and hence monitor the ionosphere with GNSS. Using a thin layer assumption of the ionosphere and dual-frequency Global Positioning System (GPS) observations from 16 geomagnetically quiet days in four seasons
Xiaolan Wang   +5 more
openaire   +1 more source

A Transformer Model for Ionospheric TEC Prediction Using GNSS Observations

2023
Precise modeling of the ionospheric Total Electron Content (TEC) is critical for reliable and accurate GNSS applications. TEC is the integral of the location-dependent electron density along the signal path and is a crucial parameter that is often used to describe ionospheric variability, as it is strongly affected by solar activity.
Maria Kaselimi   +3 more
openaire   +1 more source

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