Articles | Volume 26, issue 20
https://doi.org/10.5194/acp-26-15139-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Quantifying and attributing CO emissions over Central Asia using TROPOMI and explicit observational uncertainty
Download
- Final revised paper (published on 28 Oct 2026)
- Preprint (discussion started on 06 Jan 2026)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on egusphere-2025-5890', Anonymous Referee #1, 03 Jul 2026
- AC1: 'Reply on RC1', Ye Feng, 01 Oct 2026
-
RC2: 'Comment on egusphere-2025-5890', Anonymous Referee #2, 20 Aug 2026
- AC2: 'Reply on RC2', Ye Feng, 01 Oct 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Ye Feng on behalf of the Authors (09 Oct 2026)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (11 Oct 2026) by Abhishek Chatterjee
AR by Ye Feng on behalf of the Authors (13 Oct 2026)
General comments:
This study quantified daily gridded CO emissions in Central Asia for 2019-2024 and assessed CO trends and hotspots. This study provided actionable insights for inventory improvement and migration strategies. This topic is interesting and meaningful to readers. I only have some small suggestions.
Special comments: