the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean Archipelago
Sylvain Cailleau
Laurent Bessières
Léonel Chiendje
Flavie Dubost
Guillaume Reffray
Jean-Michel Lellouche
Simon van Gennip
Charly Régnier
Marie Drevillon
Marc Tressol
Matthieu Clavier
Julien Temple-Boyer
Léo Berline
Abstract. The stranding of sargassum seaweed on the Caribbean Archipelago beaches constitutes a real socio-economic, ecological and health problem. Météo-France currently operates a model of sargassum drift forecasts (called MOTHY) forced by ocean currents from the global analysis and forecasting system GLO12 at 1/12° (~ 9 km over the Caribbean) operated by Mercator Ocean International (MOi). In order to improve the Météo-France drift forecast, MOi has developed a regional high-resolution ocean forecasting system CAR36 at 1/36° (~ 3 km) centred on the Caribbean Archipelago region. In addition to a finer spatial resolution, this system was designed to resolve some higher frequency signals such as the tidal forcing and to use hourly atmospheric forcing including the inverse barometer effect.
Here the added value of the CAR36 system relative to GLO12 is evaluated with particular focus on the reproduction of meso- and sub-mesoscale structures representing key features of the Caribbean region dynamics and therefore sargassum transport. The realism of the local dynamics was examined with standard statistical validation diagnostics using satellite data (Sea Surface Height, Sea Surface Temperature, Sargassum detection) and drifting buoys, together with more process-oriented diagnostics such as eddy detection and tracking across the domain.
GLO12 and CAR36 hindcast simulations were compared over the year 2019. CAR36 showed marginally better scores using OceanPredict diagnostics (https://oceanpredict.org/). The dynamics of a westward-propagating North Brazil Current (NBC) eddy from its entry into the domain to its dissipation was found to be more realistic in CAR36, especially at the end of its lifetime when it collides with the Caribbean Archipelago. The transfer of kinetic energy from the eddy dissipating westward into the Caribbean Sea was diagnosed as more pronounced for CAR36 corresponding to filamentary structures crossing the Caribbean Archipelago and resulting in part from the friction of the NBC eddy along the islands to the east. Using detection from satellite, aggregation of Sargassum around eddies or along filaments suggests that CAR36 should be able to improve the algae drift forecasts.
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Sylvain Cailleau et al.
Status: open (until 09 Dec 2023)
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CEC1: 'Comment on gmd-2023-183', Juan Antonio Añel, 19 Nov 2023
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Dear authors,
Unfortunately, after checking your manuscript, it has come to our attention that it does not comply with our "Code and Data Policy".
https://www.geoscientific-model-development.net/policies/code_and_data_policy.htmlYour manuscript does not contain information in the "Code and Data Availability" section about how to access the CAR36 code, and our policy establishes clearly that it must be published and available when you submit your manuscript. Please check our code policy for information on the suitable repositories to store it, and when you publish it, include in the repository a license for it. You could want to choose a free software/open-source (FLOSS) license. We recommend the GPLv3. You only need to include the file 'https://www.gnu.org/licenses/gpl-3.0.txt' as LICENSE.txt with your code. Also, you can choose other options that Zenodo provides: GPLv2, Apache License, MIT License, etc.
Note that if you do not fix this problem, we will have to reject your manuscript for publication in our journal. Actually, your manuscript should not have been accepted in Discussions, given this lack of compliance with our policy. Therefore, the current situation with your manuscript is irregular.
Juan A. Añel
Geosci. Model Dev. Executive EditorCitation: https://doi.org/10.5194/gmd-2023-183-CEC1 -
AC1: 'Reply on CEC1', Sylvain Cailleau, 23 Nov 2023
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Dear Chief Editor,
According to your comment, in addition to the CAR36 simulation dataset, the NEMO code of the CAR36 model configuration has been added in Zenodo : https://doi.org/10.5281/zenodo.10201235
It will be taken into account in the next revised manuscript in the section Code and Data availability.
Kind regards,
Sylvain CailleauCitation: https://doi.org/10.5194/gmd-2023-183-AC1
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AC1: 'Reply on CEC1', Sylvain Cailleau, 23 Nov 2023
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RC1: 'Comment on gmd-2023-183', Anonymous Referee #1, 06 Dec 2023
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Review Ms GMD-2023-183 ‘’CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean Archipelago’ by Sylvain Cailleau et al..
The Ms present a new solution of IBI system based on NEMO ocean model at 1/36º resolution in the Caribbean Archipelago in order to forecast the drifting of Sargassum in the area. The system is forced at the open boundaries by daily solutions of the GLO12 and forced hourly by ECMWF.
The Ms. present an interesting application of a high resolution model with undoubtedly interest for statistical studies of submesoscale processes in the Caribbean area. The ability of the system to reproduce the local dynamics is tested qualitatively and quantitatively against SSH, SST, sargassum detection, drifting buoys and eddy tracking. The different metrics presented and the comparison with data are in line with the usual techniques used to test model agreement although some effort in line with lagrangian diagnosis would be desirable.
The paper is well written and provides a good introduction on the problem of drifting objects specifically in the area of interest. In my opinion testing the model with an eddy in the area, although interesting, is far from the objective of the system which as the authors state is the drifting and ‘beaching’ of Sargassum. Besides, the effects of waves, very important in the east side of the domain, have not been considered.
I think the Ms can be published after some clarifications:
Although being a research area that is very relevant, the present manuscript has two drawbacks ;
- First, the effect of Stokes drift in the drifting of objects is never treated nor discussed. How does this component of the velocity influence the lagrangian dynamics in the area?.
- The second question is related to the objective of the paper. Comparing the performance of te model with the detection of Sargassum in the Eulerian framework is fine but, why not using a lagrangian metric (for instance a better way to test the difference between both solutions would be the use of the lagrangian divergence or FSLE). This second issue would give the ms. a more robust significance.
Specific comments:
- Page 2 Ln 68. Define Caribbean Archipelago.
- Section 2 (last paragraph). Why are you concerned specifically about eddies?.
- Section 3.2. Ln 157 . Although this is true for the CAribbean and the west part of the domain this is not true for the east side.
- Section 5.2. Ln 310. Is it possible to perform it?.
- Section 5.2. Ln 319. It is very difficult to see from the L3 what the authors state (figure 8)
- Ln 353. <Can the authors discuss the disagreement respect the difference in the overestimation. Do you expect to improve the results using more eddies? (statistical relevance).
- Figure 4. I suggest changing the scale for the bias and RMSE to remark on the differences.
- Figure 5 (the same comment).
I am sure that the authors will provide answers to these comments given their expertise in the subject.
Citation: https://doi.org/10.5194/gmd-2023-183-RC1
Sylvain Cailleau et al.
Sylvain Cailleau et al.
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