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

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Final revised paper (published on 16 Mar 2020)
Preprint (discussion started on 31 Jul 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review comments', Anonymous Referee #1, 08 Aug 2019
- AC1: 'authors’ response to reviewer', Shuhui Li, 27 Aug 2019
RC2: 'Comments', Anonymous Referee #2, 05 Nov 2019
- AC2: 'authors’ response to reviewer', Shuhui Li, 07 Nov 2019

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

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.