Articles | Volume 19, issue 6
https://doi.org/10.5194/os-19-1743-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
Delayed-mode reprocessing of in situ sea level data for the Copernicus Marine Service
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- Final revised paper (published on 06 Dec 2023)
- Preprint (discussion started on 20 Apr 2023)
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 egusphere-2023-733', Anonymous Referee #1, 01 May 2023
- AC1: 'Reply on RC1', Jue Lin-Ye, 29 Jun 2023
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RC2: 'Comment on egusphere-2023-733', Laurent Testut, 26 May 2023
- AC2: 'Reply on RC2', Jue Lin-Ye, 29 Jun 2023
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Jue Lin-Ye on behalf of the Authors (29 Jun 2023)
Author's response
Author's tracked changes
EF by Polina Shvedko (03 Jul 2023)
Manuscript
ED: Referee Nomination & Report Request started (10 Jul 2023) by Anne Marie Treguier
RR by Anonymous Referee #1 (14 Jul 2023)
RR by Laurent Testut (24 Jul 2023)
ED: Publish subject to minor revisions (review by editor) (27 Jul 2023) by Anne Marie Treguier
AR by Jue Lin-Ye on behalf of the Authors (21 Aug 2023)
Author's response
Author's tracked changes
Manuscript
ED: Publish subject to technical corrections (23 Aug 2023) by Anne Marie Treguier
AR by Jue Lin-Ye on behalf of the Authors (04 Oct 2023)
Manuscript
Summary
This manuscript presents a new re-processing product for tide gauge data.
Major comments
To be honest, I found this a quite difficult paper to review. To me, it reads more like a deliverable from a project then as a scientific publication: there are references to contracts, manuals and deliverables, while the explanation of what is actually done, what are the scientific advances, and how does this new method improve previous products is relatively limited. For starters, the manuscript doesn’t explain what delayed-mode reprocessing is – quite crucial to get all readers along. It also doesn’t mention other tide gauge databases/products and how this new dataset relate to other existing ones such as PSMSL, GESLA and GLOSS. One thing that might help also is to improve the figures and the discussion thereof, most labels are really small and the figure captions are very short, and I think these should be expanded to aid the reader and explain what is actually shown in the figures. When a figure goes into more scientific analyses (figs 7/8), the data shown and reasoning why this particular example is chosen, is not very clear. Something I’d for instance be interested to see is how does near-realtime compare to delayed-mode: are there large differences, what is the added value?
Minor comments
P1
P2
Figures general: In addition to the captions (see above) the figures are not very colour-blind friendly and tend to have small text labels.
Grammatical; please check uses of ‘it’ and if possible replace them - it is not always clear to what ‘it’ refers to exactly (for instance p1- L 16, L30, L32; fig2 caption)