Articles | Volume 26, issue 5
https://doi.org/10.5194/nhess-26-2151-2026
https://doi.org/10.5194/nhess-26-2151-2026
Research article
 | 
08 May 2026
Research article |  | 08 May 2026

Pre-seismic geomagnetic fusion anomaly extraction based on Spatially Weighted Non-negative Tensor Factorization

Baiyi Yang, Kaiguang Zhu, Ting Wang, Donghua Zhang, WenQi Chen, Yiqun Zhang, Pu Wang, Xingsu Li, and Yuqi Cheng

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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 egusphere-2026-317', Anonymous Referee #1, 26 Feb 2026
    • AC1: 'Reply on RC1', Baiyi Yang, 01 Mar 2026
      • RC2: 'Reply on AC1', Anonymous Referee #1, 01 Mar 2026
        • AC3: 'Reply on RC2', Baiyi Yang, 29 Mar 2026
  • RC3: 'Comment on egusphere-2026-317', Anonymous Referee #2, 03 Mar 2026
    • AC2: 'Reply on RC3', Baiyi Yang, 05 Mar 2026
      • RC4: 'Reply on AC2', Anonymous Referee #2, 05 Mar 2026
        • AC4: 'Reply on RC4', Baiyi Yang, 29 Mar 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Publish subject to minor revisions (review by editor) (13 Apr 2026) by Seda Yolsal-Çevikbilen
AR by Baiyi Yang on behalf of the Authors (14 Apr 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (27 Apr 2026) by Seda Yolsal-Çevikbilen
AR by Baiyi Yang on behalf of the Authors (28 Apr 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (30 Apr 2026) by Seda Yolsal-Çevikbilen
AR by Baiyi Yang on behalf of the Authors (04 May 2026)  Manuscript 
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Short summary
We propose a spatially weighted non-negative tensor factorization method for extracting pre-seismic geomagnetic anomalies from multi-station data. By integrating spatial constraints between observation stations and the seismic source into the decomposition framework, the method improves the physical interpretability of the extracted anomalies and offers a new methodological approach for seismic anomaly analysis.
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