Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-4399-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.RadNet 1.0: exploring deep learning architectures for longwave radiative transfer
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- Final revised paper (published on 21 Sep 2020)
- Preprint (discussion started on 21 Jan 2020)
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
- RC1: 'Referee Comment', Anonymous Referee #1, 19 Feb 2020
- RC2: 'Referee Comment', Anonymous Referee #2, 20 Feb 2020
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ying Liu on behalf of the Authors (16 Apr 2020)
ED: Referee Nomination & Report Request started (21 Apr 2020) by Juan Antonio Añel
RR by Anonymous Referee #1 (23 Apr 2020)
RR by Anonymous Referee #2 (02 May 2020)
ED: Reconsider after major revisions (05 May 2020) by Juan Antonio Añel
AR by Ying Liu on behalf of the Authors (08 Jun 2020)
Author's response
Manuscript
ED: Referee Nomination & Report Request started (20 Jun 2020) by Juan Antonio Añel
RR by Anonymous Referee #1 (01 Jul 2020)
ED: Publish subject to minor revisions (review by editor) (02 Jul 2020) by Juan Antonio Añel
AR by Ying Liu on behalf of the Authors (11 Jul 2020)
Author's response
Manuscript
ED: Publish as is (21 Jul 2020) by Juan Antonio Añel
AR by Ying Liu on behalf of the Authors (30 Jul 2020)