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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18511323 |
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Table of Contents:
- <h2>Corresponding publication (in peer-review)</h2> <p>This repository contains the data and analysis codes used in the study reported in:</p> <p><strong>Reymondet, L., Siegelman, L., & Lenain, L.</strong><br><em>Southern Ocean latent heat flux variability driven by oceanic meso- and submesoscale motions.</em></p> <p>When using any of the files provided here, please <strong>cite both the above article and this Zenodo dataset</strong>.</p> <h2>Abstract</h2> <p>Latent heat flux is a primary pathway for ocean–atmosphere exchange of heat and moisture, yet the influence of sea surface temperature variability at fine scales (≤ 100 km) on latent heat flux variability, particularly over the Southern Ocean, remains poorly understood. Here we quantify the scale-dependent drivers of latent heat flux (LHF) variability using a year-long, global, fully coupled ocean–atmosphere simulation with kilometer-scale resolution. Annual-mean LHF in eddy-rich regions reaches ≈ 215 W/m2, approximately three times larger than in eddy-poor regions. Spectral analyses show that ocean mesoscale [O(100 km)] and submesoscale [O(1–10 km)] variability accounts for up to ≈ 80% of the total LHF variance in eddy-rich sectors, but as little as 10% in eddy-poor regions, and increases proportionally with eddy kinetic energy and sea surface temperature (SST) variance. We also find that strong submesoscale SST fronts (≈ 5°C over 10 km) force a localized secondary circulation that extends well above the marine boundary layer into the mid-troposphere. Comparison with ERA5 shows that fine ocean scales, responsible for about 17% of the ocean-driven LHF variance in the simulation, are largely unresolved in the reanalysis, leading to a muted atmospheric response lacking any secondary circulation. Despite a strong heterogeneity in LHF variability, the atmospheric dynamics are mostly uniform across the domain, suggesting a non local atmospheric response to ocean forcing. These results highlight the potential for ocean meso- and submesoscales, commonly under-resolved in climate models and reanalysis, to influence Southern Ocean air–sea coupling and atmosphere both locally and remotely.</p> <h2>Data availability</h2> <p>All data used in this study are publicly available. To limit storage requirements, this repository includes <strong>only the processed datasets necessary to reproduce the figures</strong> presented in the corresponding publication.</p> <ul> <li> <p><strong>ERA5 reanalysis data</strong> are available from the Copernicus Climate Data Store:<br><a href="http://cds.climate.copernicus.eu/" target="_new" rel="noopener">http://cds.climate.copernicus.eu/</a></p> </li> <li> <p><strong>COAS model outputs</strong> are available at:<br><a href="https://portal.nccs.nasa.gov/datashare/G5NR/DYAMONDv2/GEOS_6km_Atmosphere-MITgcm_4km_Ocean-Coupled/" target="_new" rel="noopener">https://portal.nccs.nasa.gov/datashare/G5NR/DYAMONDv2/GEOS_6km_Atmosphere-MITgcm_4km_Ocean-Coupled/</a></p> </li> </ul> <h2>Software and repository contents</h2> <ul> <li> <p><strong>COAS.zip</strong><br>Scripts to download and process COAS model output data.</p> </li> <li> <p><strong>ERA.zip</strong><br>Scripts to download and process ERA5 reanalysis data.</p> </li> <li> <p><strong>figures_data.zip</strong><br>Processed datasets required to reproduce the figures in the publication.</p> </li> <li> <p><strong>plot_figures.zip</strong><br>Notebooks used to generate the figures presented in the publication.</p> </li> </ul>