Auroral influence on ionospheric electron content

1988 ◽  
Vol 66 (2) ◽  
pp. 175-181 ◽  
Author(s):  
R. J. Niciejewski ◽  
P. A. Forsyth

A number of earlier investigations have established that regions of enhanced electron concentration in the ionosphere are often associated, both temporally and spatially, with optical auroral features. Attempts to determine whether these enhancements are completely accounted for by the same particle precipitation that causes the aurora have been only partially successful, largely because it is difficult to collect data over a sufficient time with sufficient spatial resolution to permit accurate modelling. This paper attempts to take one more step along this road by using photometer records, taken over a period of three quarters of an hour before a satellite pass, in a model computation to predict the total electron content of the ionosphere as observed during the satellite pass. The procedure is successful when the auroral activity is strong enough to dominate, but is unsuccessful when the aurora is weak and other ionospheric processes dominate.

2016 ◽  
Vol 4 (9) ◽  
pp. 1724-1735
Author(s):  
Bornali Chetia ◽  
◽  
Minakshi Devi ◽  
AnandaKumar Barbara ◽  
Santanu Kalita ◽  
...  

1993 ◽  
Vol 156 ◽  
pp. 207-209
Author(s):  
Qian Zhi-Han ◽  
Zheng Yong

For the first time, a new concept of space VLBI's application is presented, in which space VLBI technique is used to sound ionospheric electron content along the ray path.


2020 ◽  
Author(s):  
Saeed Farzaneh ◽  
Ehsan Forootan

<p>The Global Ionosphere Maps (GIMs) are generated on a daily basis at the Center for Orbit Determination in Europe (CODE) using the observations from about 200 Global Positioning System (GPS)/GLONASS sites of the International GNSS Service (IGS) and other institutions. These maps contain Vertical Total Electron Content (VTEC) values, which are estimated in a solar-geomagnetic reference frame using a spherical harmonics expansion up to degree and order 15. Although these maps have wide applications, their relatively low spatial resolution limits the accuracy of many geodetic applications such as those related to Precise Point Positioning (PPP) and navigation. In this study, a novel Bayesian approach is proposed to improve the spatial resolution of VTEC estimations in regional and global scales. The proposed technique utilises GIMs as a prior information and updates the VTEC estimates using a new set of base-functions (with better resolution than that of spherical harmonics) and the GNSS measurements that are not included in the network of GIMs. To achieve the highest accuracy possible, our implementation is based on a transformation of spherical harmonics to the Slepian base-functions, where the latter is a set of bandlimited functions that reflect the majority of signal energy inside an arbitrarily defined region, yet they remain orthogonal within this region. The new GNSS measurements are considered in a Bayesian update estimation to modify those of GIMs. Numerical application of this study is demonstrated using the ground-based GPS data over South America. The results are also validated against the VTEC estimations derived from independent GPS stations.</p><p><strong>Key words:</strong> Spherical Slepian Base-Functions, Spherical Harmonics, Ionospheric modelling, Vertical Total Electron Content (VTEC)</p>


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