Articles | Volume 17, issue 21
https://doi.org/10.5194/amt-17-6485-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.NitroNet – a machine learning model for the prediction of tropospheric NO2 profiles from TROPOMI observations
Download
- Final revised paper (published on 13 Nov 2024)
- Preprint (discussion started on 21 May 2024)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Review of "NitroNet – A deep-learning NO2 profile retrieval prototype for the TROPOMI satellite instrument"', Anonymous Referee #1, 18 Jun 2024
- AC1: 'Reply on RC1', Leon Kuhn, 22 Jul 2024
-
RC2: 'Comment on egusphere-2024-1196', Anonymous Referee #2, 25 Jun 2024
- AC2: 'Reply on RC2', Leon Kuhn, 22 Jul 2024
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Leon Kuhn on behalf of the Authors (22 Jul 2024)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (19 Aug 2024) by Robyn Schofield
RR by Robert Ryan (23 Aug 2024)
RR by Anonymous Referee #1 (05 Sep 2024)
ED: Publish as is (20 Sep 2024) by Robyn Schofield
AR by Leon Kuhn on behalf of the Authors (25 Sep 2024)
Manuscript