Articles | Volume 18, issue 11
https://doi.org/10.5194/amt-18-2333-2025
https://doi.org/10.5194/amt-18-2333-2025
Research article
 | 
03 Jun 2025
Research article |  | 03 Jun 2025

A channel selection methodology for enhancing volcanic SO2 monitoring using FY-3E/HIRAS-II hyperspectral data

Xinyu Li, Lin Zhu, Hongfu Sun, Jun Li, Ximing Lv, Chengli Qi, and Huanhuan Yan

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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 amt-2024-183', Anonymous Referee #1, 23 Dec 2024
    • AC2: 'Reply on RC1', Lin Zhu, 12 Feb 2025
  • RC2: 'Comment on amt-2024-183', Anonymous Referee #2, 07 Jan 2025
    • AC1: 'Reply on RC2', Lin Zhu, 12 Feb 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Lin Zhu on behalf of the Authors (13 Feb 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (22 Feb 2025) by Lars Hoffmann
RR by Anonymous Referee #1 (05 Mar 2025)
RR by Anonymous Referee #2 (11 Mar 2025)
ED: Publish as is (11 Mar 2025) by Lars Hoffmann
AR by Lin Zhu on behalf of the Authors (12 Mar 2025)  Manuscript 
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Short summary
This paper proposes a novel methodology for selecting sulfur-dioxide-sensitive channels from FY-3E/HIRAS-II hyperspectral IR atmospheric sensors to quantitatively monitor volcanic sulfur dioxide. This methodology considers the interference of atmospheric temperature, humidity, and surface temperature with sulfur dioxide detection and retrieval, laying the groundwork for developing a more accurate and flexible volcanic sulfur dioxide retrieval algorithm under different atmospheric conditions.
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