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

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

doi:https://doi.org/10.5194/angeo-38-331-2020

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

Data sets

Solar activity data CCMC https://omniweb.gsfc.nasa.gov/

GIM-TEC data CDDIS ftp://cddis.gsfc.nasa.gov/

Fortran source code of IRI-2016 COSPAR and URSI http://irimodel.org/

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.