Tomographic reconstruction of ionospheric electron density during the storm of 5-6 August 2011 using multi-source data

Abstract

The insufficiency of data is the essential reason for ill-posed problem existed in computerized ionospheric tomography (CIT) technique. Therefore, the method of integrating multi-source data is proposed. Currently, the multiple satellite navigation systems and various ionospheric observing instruments provide abundant data which can be employed to reconstruct ionospheric electron density (IED). In order to improve the vertical resolution of IED, we do research on IED reconstruction by integration of ground-based GPS data, occultation data from the LEO satellite, satellite altimetry data from Jason-1 and Jason-2 and ionosonde data. We used the CIT results to compare with incoherent scatter radar (ISR) observations, and found that the multi-source data fusion was effective and reliable to reconstruct electron density, showing its superiority than CIT with GPS data alone.

Journal

Journal ID (nlm-ta): Sci Rep

Journal ID (iso-abbrev): Sci Rep

Title: Scientific Reports

Publisher: Nature Publishing Group

ISSN (Electronic): 2045-2322

Publication date (Electronic): 12 August 2015

Publication date Collection: 2015

Volume: 5

Affiliations

[1 ]School of Civil Engineer and Architecture, East China Jiaotong University , Nanchang, 330013, China

[2 ]School of Geodesy and Geomatics, Wuhan University , Wuhan, 430079, China

[3 ]Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University , Wuhan, 430079, China

[4 ]Jiangxi Province Key Lab for Digital Land, East China Institute of Technology , Nanchang, 330013, China

Author notes

[a ] townjun@ 123456gmail.com

Article

Publisher Item ID: srep13042

DOI: 10.1038/srep13042

PMC ID: 4533594

Copyright statement: Copyright © 2015, Macmillan Publishers Limited

License:

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Categories

Subject: Article