the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 22 Jan 2026
Opinion: Status, Plans and Needs of Southern Ocean Modelling
Abstract. In preparation for the SOOS/OCEAN:ICE Workshop on ice-ocean observation harmonization and future priorities agenda, a survey targeting the modelling community was conducted to assess research priorities for the Southern Ocean and Antarctica. This initiative specifically supports the design of field activities from the open Southern Ocean to the Antarctic shelf for the forthcoming Antarctica InSync campaign and is aligned with broader strategic planning efforts ahead of the next International Polar Year (IPY). The survey results are a useful basis to further communication between modeling and observing science communities. We believe this is crucial for optimizing campaign planning, achieving enhanced data usage and improving numerical experiments.
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RC1: 'Comment on egusphere-2026-213', Anonymous Referee #1, 09 Feb 2026
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The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2026/egusphere-2026-213/egusphere-2026-213-RC1-supplement.pdfReplyCitation: https://doi.org/
10.5194/egusphere-2026-213-RC1 -
RC2: 'Comment on egusphere-2026-213', Anonymous Referee #2, 12 Feb 2026
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This is a well-written and thoughtful opinion piece. The abstract presents a nice layout of goals. I applaud the authors for this effort, as it is a useful contribution. I have only a couple of suggestions.
It is noted that the focus is primarily on climate modeling. Several caveats are given in the interpretations about the nature of the respondents and how this may influence the findings. Still, I think the piece would benefit from brief thoughts on how to engage stakeholders and how the results may vary by audience. What aspects are expected to change if the focus were shifted to seasonal to subseasonal scales? Models are tools, and it would be interesting to get broad stakeholder engagement and find out what they want from SO models. The responses depend on what the user's goals are, and it was telling that 40% of the respondents said ice sheet/shelf-ocean interaction is the key SO science topic.
The discussion distinguishing in situ vs gridded products is off-putting:
Line 217: ‘less valued’ is a poor word choice. You can’t have gridded products without in situ data and the respondents know this.
Line 244: ‘lesser use’: same thing as line 217. They are using it in gridded format, but they are using it.
Line 246: Maybe I am misunderstanding your inference here because I am struggling to link this to the survey questions, but I disagree with the interpretation. People know that gridded products are derived from in situ data. For example, it seems you are distinguishing between the Roemmich and Gilson mapped Argo product and Argo data, but not between the AVISO-mapped altimetry product and altimeters. I interpret the acknowledgement of the importance of in situ data as meaning they think the gridded products are important, not that they only want to have process study data. Respondents know they can’t have gridded products without in situ data.
Line 217: I would drop ‘The latter’ as all data go into many of the gridded products.
Line 220-227: Maybe this is more of a call for publishing open-source validation packages that incorporate data and help modelers use these data.
More specific comments:
Line 134: is the problem unique to “coarse-resolution” models?
Figure 2: The figure implies carbon uptake is in the pie explicitly, but the caption implies it is counted as ‘other’. Please reconcile this.
Line 181: Please clarify this. Did you mean ‘supporting model parameterization development’?
Line 200: I would change the wording here. These physical processes are fundamental prerequisites to address the ‘big questions’. You can’t address ice-ocean interactions without understanding ocean heat transport.
Line 253: I don’t see how caring about shelf processes (i.e. the main bias) is independent of calling for year-round observations. (Maybe I am getting lost comparing Figure 1 and Figure 3b, but regardless I don’t see desiring year-round obs being independent of any model bias.)
Line 260: This may not be justified as these (e.g. ‘sea ice’ or ‘radiative processes’) weren’t given as choices in the ‘most problematic ocean model bias’. I think sea ice - ocean interactions is a huge source of model uncertainty, but my response wouldn’t reflect my concern based on the questions asked. In fact, I may pick ‘mixing’ because that is related to sea ice - ocean interaction. I would give a caveat here that some of your impressions here may be due to the options given and the wording in the survey. (And this is a bit in conflict with Line 282-283, which seems to say sea ice is important.)
Line 289: Why only early-career?
Citation: https://doi.org/10.5194/egusphere-2026-213-RC2
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