Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3797-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.Development of a deep neural network for predicting 6 h average PM2.5 concentrations up to 2 subsequent days using various training data
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- Final revised paper (published on 10 May 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 15 Nov 2021)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on gmd-2021-356', Anonymous Referee #1, 15 Dec 2021
- AC1: 'Reply on RC1', Jae-Bum Lee, 03 Feb 2022
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RC2: 'Comment on gmd-2021-356', Anonymous Referee #2, 19 Dec 2021
- AC2: 'Reply on RC2', Jae-Bum Lee, 03 Feb 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Polina Shvedko on behalf of the Authors (24 Feb 2022) 
Author's response
ED: Referee Nomination & Report Request started (27 Feb 2022) by Jinkyu Hong
RR by Anonymous Referee #2 (03 Mar 2022)
RR by Fearghal O'Donncha (14 Mar 2022)
ED: Publish subject to minor revisions (review by editor) (15 Mar 2022) by Jinkyu Hong
AR by Polina Shvedko on behalf of the Authors (21 Mar 2022) 
Author's response
ED: Publish subject to minor revisions (review by editor) (24 Mar 2022) by Jinkyu Hong
AR by Jae-Bum Lee on behalf of the Authors (30 Mar 2022) 
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (31 Mar 2022) by Jinkyu Hong