Articles | Volume 17, issue 21
https://doi.org/10.5194/bg-17-5335-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.Global ocean dimethyl sulfide climatology estimated from observations and an artificial neural network
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- Final revised paper (published on 06 Nov 2020)
- Preprint (discussion started on 11 Mar 2020)
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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- Supplement
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RC1: 'Review of the manuscript by Wang and coauthors', Martí Galí, 02 Apr 2020
- AC1: 'Response to Reviewer #1', Weilei Wang, 07 Jun 2020
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RC2: 'Review of Wang et al.', Anonymous Referee #2, 06 Apr 2020
- AC2: 'Response to Reviewer #2', Weilei Wang, 07 Jun 2020
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RC3: 'Improved estimates of the present-day state from machine learning are useful; some clarifications are needed on the statistical methods', Anonymous Referee #3, 23 Apr 2020
- AC3: 'Response to Reviewer #3', Weilei Wang, 07 Jun 2020
- AC4: 'Revised MS', Weilei Wang, 07 Jun 2020
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (23 Jun 2020) by Koji Suzuki
AR by Weilei Wang on behalf of the Authors (23 Jun 2020)
Author's response
Manuscript
ED: Referee Nomination & Report Request started (23 Jun 2020) by Koji Suzuki
RR by Martí Galí (28 Jul 2020)
RR by Anonymous Referee #3 (04 Aug 2020)
ED: Publish subject to minor revisions (review by editor) (04 Aug 2020) by Koji Suzuki
AR by Weilei Wang on behalf of the Authors (13 Aug 2020)
Author's response
Manuscript
ED: Publish subject to technical corrections (28 Aug 2020) by Koji Suzuki
AR by Weilei Wang on behalf of the Authors (29 Aug 2020)
Author's response
Manuscript