A global 3-D electron density reconstruction model based on radio occultation data and neural networks

Author(s):  
John Bosco Habarulema ◽  
Daniel Okoh ◽  
Dalia Burešová ◽  
Babatunde Rabiu ◽  
Mpho Tshisaphungo ◽  
...  
2009 ◽  
pp. 23-38
Author(s):  
Fabrizio Pelliccia ◽  
Stefania Bonafoni ◽  
Patrizia Basili ◽  
Roberta Anniballe ◽  
Nazzareno Pierdicca ◽  
...  

2011 ◽  
Vol 49 (12) ◽  
pp. 4846-4855 ◽  
Author(s):  
F. Pelliccia ◽  
F. Pacifici ◽  
S. Bonafoni ◽  
P. Basili ◽  
N. Pierdicca ◽  
...  

2008 ◽  
Vol 26 (2) ◽  
pp. 353-359 ◽  
Author(s):  
M. J. Angling

Abstract. Ground based measurements of slant total electron content (TEC) can be assimilated into ionospheric models to produce 3-D representations of ionospheric electron density. The Electron Density Assimilative Model (EDAM) has been developed for this purpose. Previous tests using EDAM and ground based data have demonstrated that the information on the vertical structure of the ionosphere is limited in this type of data. The launch of the COSMIC satellite constellation provides the opportunity to use radio occultation data which has more vertical information. EDAM assimilations have been run for three time periods representing quiet, moderate and disturbed geomagnetic conditions. For each run, three data sets have been ingested – only ground based data, only COSMIC data and both ground based and COSMIC data. The results from this preliminary study show that both ground and space based data are capable of improving the representation of the vertical structure of the ionosphere. However, the analysis is limited by the incomplete deployment of the COSMIC constellation and the use of auto-scaled ionosonde data. The first of these can be addressed by repeating this type of study once full deployment has been achieved. The latter requires the manual scaling of ionosonde data; ideally an agreed data set would be scaled and made available to the community to facilitate comparative testing of assimilative models.


2019 ◽  
Vol 40 (2) ◽  
pp. 277-293 ◽  
Author(s):  
Fabricio dos Santos Prol ◽  
David R. Themens ◽  
Manuel Hernández-Pajares ◽  
Paulo de Oliveira Camargo ◽  
Marcio Tadeu de Assis Honorato Muella

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