Articles | Volume 38, issue 2
https://doi.org/10.5194/angeo-38-331-2020
https://doi.org/10.5194/angeo-38-331-2020
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

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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (02 Dec 2019) by Ana G. Elias
AR by Shuhui Li on behalf of the Authors (12 Dec 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (18 Dec 2019) by Ana G. Elias
RR by Anonymous Referee #1 (20 Jan 2020)
ED: Publish subject to minor revisions (review by editor) (21 Jan 2020) by Ana G. Elias
AR by Shuhui Li on behalf of the Authors (02 Feb 2020)  Author's response   Manuscript 
ED: Publish as is (04 Feb 2020) by Ana G. Elias
AR by Shuhui Li on behalf of the Authors (11 Feb 2020)  Manuscript 
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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.