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Open AccessJournal ArticleDOI

High resolution TEC monitoring method using permanent ground GPS receivers

TLDR
In this article, a method for obtaining the ionospheric total electron content (TEC) variations from GPS permanent station data, in a very precise manner and with high temporal and spatial resolution, is proposed.
Abstract
In this paper we propose a new and simple method for obtaining the ionospheric Total Electron Content (TEC) variations from GPS permanent station data, in a very precise manner and with high temporal and spatial resolution. The key idea is to use of the resonant period of 1 sidereal day between the Earth's rotation and the GPS satellite orbit periods, in order to obtain one TEC variation estimate directly from each ionospheric observation. This new strategy can be applied on both global and local scales, for instance to one single station. Its capabilities are shown in the application performed with the data gathered on 17, 18 and 19 October 1995 from 95 GPS permanent stations and 9 and 10 January 1997 (180 stations), coinciding with two major geomagnetic storms.

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Citations
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Journal ArticleDOI

High resolution mapping of TEC perturbations with the GSI GPS Network over Japan

TL;DR: Two-dimensional total electron content (TEC) perturbations over Japan are mapped with the Geographical Survey Institute (GSI) GPS network, GEONET (GPS Earth Observation Network) as mentioned in this paper.
Journal ArticleDOI

The ionosphere: effects, GPS modeling and the benefits for space geodetic techniques

TL;DR: The main goal of this paper is to provide a summary of the current knowledge of the ionosphere as it relates to space geodetic techniques, especially the most informative technology, global navigation satellite systems (GNSS), specifically the fully deployed and operational global positioning system (GPS).
Journal ArticleDOI

Ionospheric solar flare effects monitored by the ground-based GPS receivers: Theory and observation

TL;DR: In this article, the authors investigated the ionosphere response to a solar flare observed by using ground-based receivers of the global positioning system (GPS) and derived the total electron content and its time rate of change (rTEC) from the receivers.
Journal ArticleDOI

A global model: Empirical orthogonal function analysis of total electron content 1999–2009 data

TL;DR: A global ionospheric total electron content (TEC) model based on the empirical orthogonal function (EOF) analysis method is constructed using the global ionosphere maps provided by Jet Propulsion Laboratory during the years 1999-2009 as mentioned in this paper.
Journal ArticleDOI

Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS

TL;DR: The single-frequency precise point positioning results indicate that the ionospheric modelling accuracy of the proposed method based on multi-GNSS observations is better than that of the current dual-system GIM in specific areas.
References
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Journal ArticleDOI

New version of the generic mapping tools

TL;DR: GMT is a public domain collection of UNIX tools that contains programs to manipulate (x,y,z) data and to generate PostScript illustrations, including simple x-y diagrams, contour maps, color images, and artificially illuminated, perspective, shaded-relief plots using a variety of map projections.
Journal ArticleDOI

An Automatic Editing Algorithm for GPS data

TL;DR: An algorithm has been developed to edit automatically Global Positioning System data such that outlier deletion, cycle slip identification and correction are independent of clock instability, selective availability, receiver–satellite kinematics, and tropospheric conditions.
Journal ArticleDOI

Estimation of the transmitter and receiver differential biases and the ionospheric total electron content from Global Positioning System observations

TL;DR: In this paper, a method based on a Kalman filtering approach was proposed to estimate the biases in the GPS satellites and receivers and the total electron content at each GPS station using dual GPS data.
Journal ArticleDOI

Imaging the ionosphere with the global positioning system

TL;DR: Tomographic imaging of the ionosphere from space and ground is examined using singular value decomposition analysis, and simulations indicate that space data are significantly more effective than ground data in resolving both horizontal and vertical structures, such as the E layer.
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