the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
BIOPERIANT12: a mesoscale resolving coupled physics-biogeochemical model for the Southern Ocean
Abstract. We present BIOPERIANT12, a regional model configuration of the Southern Ocean (SO) at a mesoscale-resolving 1/12°. This is a stable, ocean–ice–biogeochemical configuration derived from the Nucleus for European Modelling of the Ocean (NEMO) modelling platform. It is specifically designed to investigate questions related to the mean state, seasonal cycle variability and mesoscale processes in the mixed layer and within the upper ocean (<1000 m). In particular, the focus is on understanding processes behind carbon and heat exchange, systematic errors in biogeochemistry and assumptions underlying the parameters chosen to represent these SO processes. The dynamics of the ocean model play a large role in driving ocean biogeochemistry and we show that over the chosen period of analysis 2000–2009 that the simulated dynamics in the upper ocean provide a stable mean state, as compared to observation-based datasets (themselves subject to biases such as sparsity of data, cloud cover, etc.), and through which the characteristics of variability can be described. Using ocean biomes to delineate the major regions of the SO, the model demonstrates a useful representation of ocean biogeochemistry and partial pressure of carbon dioxide (pCO2). In addition to a reasonable model mean state performance, through model–data metrics BIOPERIANT12 highlights several pathways for improving Southern Ocean model simulations such as the representation of temporal variability and the overestimation of biological biomass.
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Status: open (until 28 Dec 2024)
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CC1: 'Comment on gmd-2024-182', Takaya Uchida, 29 Oct 2024
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I appreciate the authors for citing our work but Uchida et al. (2019, 2020) increased the horizontal model resolution up to 2km and their results are not limited to a resolution of 20km as implied by the authors here (line 49).
Citation: https://doi.org/10.5194/gmd-2024-182-CC1 -
AC1: 'Reply on CC1', Nicolette Chang, 29 Oct 2024
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Thank you for your feedback. My sincere apologies, model experiments with resolutions up to 2 km should definitely be referenced properly! The statement references examples of different model design choices for coupled physics-BGC models, it will be revised.Citation: https://doi.org/
10.5194/gmd-2024-182-AC1
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AC1: 'Reply on CC1', Nicolette Chang, 29 Oct 2024
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CEC1: 'Comment on gmd-2024-182 - No compliance with the policy of the journal', Juan Antonio Añel, 02 Dec 2024
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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.htmlFirst, the Code Availability section of your manuscript is incomplete. Please, check it, because there is missing information.
Second, you have not shared all the models, code and data necessary to replicate your work. This includes the NEMO-PISCES v3.4 and all the input data used to run your model.
Therefore, the current situation with your manuscript is irregular. Please, publish your code and data in one of the appropriate repositories and reply to this comment with the relevant information (link and a permanent identifier for it (e.g. DOI)) as soon as possible, as we can not accept manuscripts in Discussions that do not comply with our policy.
Moreover, you must include the modified 'Code Availability' and Data Availability' sections in a potentially reviewed manuscript, including the DOIs and links to the new repositories.
Please, note that if you do not fix this problem in a quick manner, we will have to reject your manuscript for publication in our journal.
Juan A. Añel
Geosci. Model Dev. Executive Editor
Citation: https://doi.org/10.5194/gmd-2024-182-CEC1 -
AC2: 'Reply on CEC1', Nicolette Chang, 04 Dec 2024
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Please accept updates to the code and data availability statement as below. This includes corrected links to Zenodo repositories with updated contents, containing:
1. model code (cpp keys, modified files, base code) https://doi.org/10.5281/zenodo.13910092
2. Python notebooks and data to produces manuscript figures and model input files (grids, initial, boundary conditions and weights) https://doi.org/10.5281/zenodo.13919282Code and data availability. The current version of NEMO is available from the project website: https://www.nemo-ocean.eu/ under the CeCILL license. The exact version of the model used to produce the results used in this paper is archived on Zenodo (https://doi.org/10.5281/zenodo.13910092), as are input data and scripts to run the model and produce the plots for all the simulations presented in this paper (https://doi.org/10.5281/zenodo.13919282).
Citation: https://doi.org/10.5194/gmd-2024-182-AC2 -
CEC2: 'Reply on AC2', Juan Antonio Añel, 04 Dec 2024
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Dear authors,
Many thanks for addressing this issue. Now we can consider the current version of your manuscript compliant with our policy.
Regards,
Juan A. Añel
Geosci. Model Dev. Executive EditorCitation: https://doi.org/10.5194/gmd-2024-182-CEC2
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CEC2: 'Reply on AC2', Juan Antonio Añel, 04 Dec 2024
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AC2: 'Reply on CEC1', Nicolette Chang, 04 Dec 2024
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Model code and software
BIOPERIANT12-CNCLNG01 N. Chang https://doi.org/10.5281/zenodo.8475
BIOPERIANT12-manuscript Nicolette Chang, Sarah-Anne Nicholson, Marcel du Plessis, Alice D. Lebehot, Thulwaneng Mashifane, and Tumelo C. Moalusi https://github.com/nicolettechang/BIOPERIANT12-manuscript
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