ionospheric characteristic
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2020 ◽  
Author(s):  
Song Xu ◽  
ZhiMa ZeRen ◽  
JiangPing Huang ◽  
XuHui Shen ◽  
Wei Chu ◽  
...  

<p>The China Seismo-Electromagnetic Satellite (CSES) was successfully launched on February 2, 2018. Its main scientific objective is to monitor earthquake related disturbances in the ionosphere. The Global Navigation Satellite System (GNSS) Radio Occultation Receiver (GOR) on board the satellite is able to observe the occultation events of Global Positioning System (GPS) and BeiDou navigation satellite System(BDS). Compared to some conventional observation means, GOR has the advantages of low cost, high accuracy, high precision, high vertical resolution, all-weather sounding, long-term constant and global coverage. The GOR on CSES can receive about 600 ionosphere occultation events each day and 16000 each month. The strip-shaped spatial distributions of the ionospheric characteristic parameters from the GOR show that the values of NmF<sub>2</sub> and HmF<sub>2</sub> are larger in the areas of the equator than in middle and high latitude areas.</p>


2014 ◽  
Vol 614 ◽  
pp. 676-680
Author(s):  
Zhe Wang ◽  
Qing Jin Ma ◽  
Cun Shen ◽  
Jing Fan ◽  
Chun Hua Jiang ◽  
...  

In this article, the author uses computer graphics visual programming method and visually expresses ionospheric characteristic parameters. Firstly, the significance of visualization of ionospheric characteristic parameters was described, then visualization process and methods were discussed, and finally the results of visualization of ionospheric parameters in typical conditions were given. The results show that visualization method of ionosphere characteristic parameters can directly reflect ionospheric electron density, electron temperature and other parameters, which is conductive to an intuitive understanding of various physical phenomena in ionosphere.


1996 ◽  
Vol 39 (4) ◽  
Author(s):  
I. Stanislawska ◽  
G. Juchnikowski ◽  
L. R. Cander

This paper discusses the spatial variation of the ionospheric characteristic f0F2 in the PRIME area (35o-55o N,- 10°-20°E) expressed in terms of the variogram and the Kriging mapping method as modelling of an instantaneous experimental situation. It is shown that by applying this method to the real data it is possible to estimate f0F2 at any unsampled location within the restricted area with satisfactory accuracy.


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