Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2015 (2015), Article ID 376702, 11 pages
Research Article

Ionospheric Correction Based on Ingestion of Global Ionospheric Maps into the NeQuick 2 Model

1School of Electronic Information, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China
2China Research Institute of Radiowave Propagation, No. 36 Xianshandong Road, Qingdao 266107, China
3University of Chinese Academy of Sciences, Beijing 100029, China
4Key Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
5The Abdus Salam International Center for Theoretical Physics, T-ICT4D Laboratory, 34100 Trieste, Italy
6The Constellation Observing System for Meteorology, Ionosphere, and Climate Program Office, University Corporation for Atmospheric Research, Boulder, CO 80303, USA

Received 18 June 2014; Revised 18 August 2014; Accepted 19 August 2014

Academic Editor: Zhaojin Rong

Copyright © 2015 Xiao Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The global ionospheric maps (GIMs), generated by Jet Propulsion Laboratory (JPL) and Center for Orbit Determination in Europe (CODE) during a period over 13 years, have been adopted as the primary source of data to provide global ionospheric correction for possible single frequency positioning applications. The investigation aims to assess the performance of new NeQuick model, NeQuick 2, in predicting global total electron content (TEC) through ingesting the GIMs data from the previous day(s). The results show good performance of the GIMs-driven-NeQuick model with average 86% of vertical TEC error less than 10 TECU, when the global daily effective ionization indices (Az) versus modified dip latitude (MODIP) are constructed as a second order polynomial. The performance of GIMs-driven-NeQuick model presents variability with solar activity and behaves better during low solar activity years. The accuracy of TEC prediction can be improved further through performing a four-coefficient function expression of Az versus MODIP. As more measurements from earlier days are involved in the Az optimization procedure, the accuracy may decrease. The results also reveal that more efforts are needed to improve the NeQuick 2 model capabilities to represent the ionosphere in the equatorial and high-latitude regions.