Articles | Volume 17, issue 10
https://doi.org/10.5194/essd-17-5277-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.ReefTEMPS: the Pacific Islands coastal temperature network
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- Final revised paper (published on 10 Oct 2025)
- Preprint (discussion started on 18 Oct 2024)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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RC1: 'Comment on essd-2024-394', Anonymous Referee #1, 27 Nov 2024
- AC1: 'Reply on RC1', Romain Le Gendre, 15 Apr 2025
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RC2: 'Comment on essd-2024-394', Anonymous Referee #2, 17 Dec 2024
- AC2: 'Reply on RC2', Romain Le Gendre, 15 Apr 2025
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AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Romain Le Gendre on behalf of the Authors (15 Apr 2025)
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ED: Referee Nomination & Report Request started (18 Apr 2025) by Simona Simoncelli
RR by Anonymous Referee #2 (13 May 2025)
RR by Vanessa Cardin (23 May 2025)

ED: Publish subject to minor revisions (review by editor) (31 May 2025) by Simona Simoncelli

AR by Romain Le Gendre on behalf of the Authors (31 May 2025)
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ED: Publish subject to technical corrections (10 Jun 2025) by Simona Simoncelli

AR by Romain Le Gendre on behalf of the Authors (11 Jun 2025)
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Review of the manuscript:
ReefTEMPS: 1 The Pacific Islands Coastal Temperature Network
By Romain Le Gendre, David Varillon, Sylvie Fiat, Régis Hocdé, Antoine de Ramon N’Yeurt, Jérôme Aucan, Sophie Cravatte, Maxime Duphil, Alexandre Ganachaud, Baptiste Gaudron, Elodie Kestenare, Vetea Liao, Bernard Pelletier, Alexandre Peltier, Anne-Lou Schaefer, Thomas Trophime, Simon Van Wynsberge, Yves Dandonneau, Michel Allenbach and Christophe Menkes
This paper presents coastal temperature data from the ReefTEMPS network of moored stations at a number of PICTS in a broad region of the western and central South Pacific, from New Caledonia to French Polynesia. The in situ temperature time series are considered unique in several respects, both in terms of the longevity of some historical stations - the oldest dating back to 1958 and providing daily data for more than 65 years - and in terms of the number of countries surveyed (16 PICTS) and the diversity of coral ecosystems monitored (from atolls to high islands and from outer reef slopes to narrow, shallow lagoons). All data from the stations are publicly accessible via the dedicated ReefTEMPS information system, which also enables rapid visualization of the time series, or via the marine data platform SEANOE. The longevity of these temperature time series makes it possible to diagnose long-term trends, show the influence of various processes on temperature dynamics and document the temporal evolution of extreme events.
General Comments
The manuscript (ms) is well structured and written and demonstrates the importance of continuous measurements, especially on moored systems, to determine the physical and biochemical processes that influence biodiversity. However, some improvements should be made before publication; adding some information that I think is missing could improve the text. I found that the authors are vague in some parts of the text and use a very discursive approach without being precise. In particular, in section 3, the authors show the evolution of the sensors used without specifying where (stations, areas) the changes took place. It is difficult to say whether the improvements or changes have taken place at all stations in the network or only in certain areas. See my specific comments.
I appreciate the inclusion of examples of key applications in Chapter 6. Since these are processes determined by long-term measurements on various time scales, it would be interesting to relate these changes, especially those in temperature, to ENSO. This topic is already briefly discussed on the website, but it would be an added value to discuss it in the handbook.
Specific comments
In the abstract:
Line 50: 16 PICTS are indicated, while only 14 are mentioned on the ReefTemps website; which number is correct?
Line 57: Quality control is mandatory before sharing data and showing possible trends, while the length of a time series is the added value and the key factor for its determination. Please delete quality control from the sentence.
2.1 History:
Figure 1 is missing information mentioned in this chapter as the start of AusAID support in 2011, which led to the deployment of several sensors on different islands. In 2012, the station on Wallis and Futuna was taken over by NC University, so it became the network?
In line 57 a dot is missing after GOPS
2.2 The current ReefTEMPS network
Line 85: again 16 or 14 PICTS? Please enter the number of actual stations or monitored sites here (active, inactive and dismissed). Later in line 92 you indicate that the New Caledonian components of the backbone component of the ReefTEMPS network include 43 stations, so it would be interesting to indicate the total number of stations belonging to this network right at the beginning of the ms.
3.1 Oceanographic bucket
Line 22: Please move “The nominal acquisition time for both stations was 7 am local time and the targeted depth using the bucket was 0.5 m" in line 20 after “…nearly 47 years” .
3.2 Compact autonomous loggers
Line 27: ".... Were used to monitor coastal temperatures"... please specify where?
Facilities: It is difficult for the reader to tell at first glance which of the platforms listed in Table 1 are still active. I suggest dividing them into active and inactive or color-coding the two/three cases.
4. Processing and quality control
The overall strategy is well described for data measured after 2010; however, I cannot see a clear description of procedures when you recovered the instrument. Have CTD casts been taken each time you recover and redeploy the sensors? How often do you replace the instrument? It seems like you are only removing outliers, what about sensor drift? How do you compensate for any discrepancy (align mismatch) between the end of the time series and the new time series?
4.2 The procedure for obtaining the homogenized monthly long-term data is very interesting and impressive. It could be of additional value to show how the data was corrected. I propose to include a time series as an example of a raw and a QC-corrected time series (Anse Vata or Phare Amédée).
6.2 Characterize physical processes at various timescales
Line 9-10 please rephrase the sentence and highlight the importance of the parameters time series in identifying physical processes at various time scales.
Appendix A
Table A1.