Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4513-2025
https://doi.org/10.5194/essd-17-4513-2025
Data description paper
 | 
11 Sep 2025
Data description paper |  | 11 Sep 2025

Rescue, integration, and analytical application of historical data from eight pioneering geomagnetic observatories in China

Suqin Zhang, Changhua Fu, Jianjun Wang, Chuanhua Chen, Guohao Zhu, Qian Zhao, Jun Chen, Shaopeng He, Bin Wang, Pengkun Guo, Na Deng, Jinghui Lu, and Hongchi Yu

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2025-6', Anonymous Referee #1, 17 Mar 2025
    • AC1: 'Reply on RC1', Suqin Zhang, 20 Mar 2025
  • CC1: 'Comment on essd-2025-6', Xin Changjiang, 01 Apr 2025
    • AC2: 'Reply on CC1', Suqin Zhang, 09 Apr 2025
  • CC2: 'Comment on essd-2025-6', Z.H. He, 16 Apr 2025
    • AC3: 'Reply on CC2', Suqin Zhang, 22 Apr 2025
  • CC3: 'Comment on essd-2025-6', Z.H. He, 18 Apr 2025
    • AC4: 'Reply on CC3', Suqin Zhang, 22 Apr 2025
  • CC4: 'Comment on essd-2025-6', Junjie Sun, 24 Apr 2025
  • RC2: 'Comment on essd-2025-6', Anonymous Referee #2, 06 May 2025
    • AC6: 'Reply on RC2', Suqin Zhang, 21 May 2025
  • AC5: 'Reply on CC4', Suqin Zhang, 15 May 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Suqin Zhang on behalf of the Authors (23 May 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (03 Jun 2025) by Kirsten Elger
RR by Anonymous Referee #2 (04 Jun 2025)
RR by Anonymous Referee #1 (13 Jun 2025)
ED: Publish as is (13 Jun 2025) by Kirsten Elger
AR by Suqin Zhang on behalf of the Authors (18 Jun 2025)  Manuscript 
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Short summary
The objective of this study is to rescue and integrate historical data from eight pioneering geomagnetic observatories in China. Data quality is significantly improved through integration. The integrated dataset is now publicly available for easy access and use by the academic community and the public. These datasets are of great significance for optimizing historical geomagnetic field models and investigating changing magnetic fields, the main geomagnetic field.
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