Articles | Volume 15, issue 23
https://doi.org/10.5194/gmd-15-8931-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.Temperature forecasting by deep learning methods
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- Final revised paper (published on 13 Dec 2022)
- Preprint (discussion started on 08 Mar 2022)
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-2021-430', Anonymous Referee #1, 05 Apr 2022
- AC2: 'Reply on RC1', BING GONG, 13 May 2022
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CEC1: 'Comment on gmd-2021-430', Juan Antonio Añel, 21 Apr 2022
- AC1: 'Reply on CEC1', BING GONG, 21 Apr 2022
- CEC2: 'Comment on gmd-2021-430', Juan Antonio Añel, 21 Apr 2022
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RC2: 'Comment on gmd-2021-430', Anonymous Referee #2, 05 May 2022
- AC3: 'Reply on RC2', BING GONG, 13 May 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by BING GONG on behalf of the Authors (24 Jun 2022) 
Author's response
ED: Publish subject to minor revisions (review by editor) (09 Jul 2022) by Sergey Gromov
![](https://www.geoscientific-model-development.net/graphic_grey_open_symbol_running_text.jpg)
AR by BING GONG on behalf of the Authors (27 Jul 2022) 
Author's response
Author's tracked changes
Manuscript
ED: Publish subject to minor revisions (review by editor) (04 Aug 2022) by Sergey Gromov
![](https://www.geoscientific-model-development.net/graphic_grey_open_symbol_running_text.jpg)
AR by BING GONG on behalf of the Authors (01 Sep 2022) 
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (07 Sep 2022) by Sergey Gromov