Articles | Volume 17, issue 17
https://doi.org/10.5194/amt-17-5147-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.Special issue:
A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument
Download
- Final revised paper (published on 05 Sep 2024)
- Preprint (discussion started on 04 Apr 2024)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on egusphere-2024-393', Anonymous Referee #1, 10 Apr 2024
- AC1: 'Reply on RC1', Yujin J. Oak, 16 May 2024
-
RC2: 'Comment on egusphere-2024-393', Anonymous Referee #2, 13 May 2024
- AC2: 'Reply on RC2', Yujin J. Oak, 16 May 2024
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yujin J. Oak on behalf of the Authors (16 May 2024)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (20 May 2024) by MH AHN
RR by Anonymous Referee #3 (10 Jul 2024)
![](https://www.egusphere.net/graphic_grey_open_symbol_running_text.jpg)
ED: Publish subject to technical corrections (18 Jul 2024) by MH AHN
![](https://www.egusphere.net/graphic_grey_open_symbol_running_text.jpg)
AR by Yujin J. Oak on behalf of the Authors (18 Jul 2024)
Author's response
Manuscript