Annales Geophysicae
Annales Geophysicae
ANGEO
Articles | Volume 38, issue 2
Articles | Volume 38, issue 2
https://doi.org/10.5194/angeo-38-331-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-38-331-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 38, issue 2
Regular paper
 | 
16 Mar 2020
Regular paper |  | 16 Mar 2020

Global total electron content prediction performance assessment of the IRI-2016 model based on empirical orthogonal function decomposition

Shuhui Li, Jiajia Xu, Houxiang Zhou, Jinglei Zhang, Zeyuan Xu, and Mingqiang Xie

Viewed

Total article views: 1,841 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,208 578 55 1,841 61 59
  • HTML: 1,208
  • PDF: 578
  • XML: 55
  • Total: 1,841
  • BibTeX: 61
  • EndNote: 59
Views and downloads (calculated since 31 Jul 2019)
Cumulative views and downloads (calculated since 31 Jul 2019)

Viewed (geographical distribution)

Total article views: 1,841 (including HTML, PDF, and XML) Thereof 1,679 with geography defined and 162 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
Download
Short summary
The empirical orthogonal function (EOF) decomposition was utilized to analyze the similarities and differences of the spatiotemporal characteristics between GIM TEC and IRI TEC at a global scale. We combined the IRI TEC and GIM TEC data to form a whole data set for EOF decomposition and compared the two data sets. Results show that the daily averaged solar forcing and interhemispheric asymmetry components were the main factors for the deviation between the IRI-2016 and GIM TEC.
Read more