MISOMIP2 Ice-Shelf-Ocean Phase 1 Ocean-hind – Model IGE-CNRS-UGA_NEMO4.0_a

This dataset contains outputs from the MISOMIP2 OceanA-hind experiment performed with the NEMO v4.0 ocean–sea ice model configuration described in Mathiot and Jourdain (2023), developed at IGE-CNRS-UGA. The simulation is called REF in Mathiot and Jourdain (2023). The simulation covers the Southern Ocean and Antarctic continental shelf regions using a global ocean configuration with an average horizontal resolution of approximately 8 km at 73°S and 121 vertical levels employing a stretched geopotential (z-star) vertical coordinate. Ocean thermodynamics are based on TEOS-10, and sea ice is represented using the SI3 dynamic–thermodynamic sea-ice model. Surface atmospheric forcing is provided by JRA55-do, while iceberg effects are represented through a Lagrangian iceberg model. Bathymetry and ice-shelf geometry are derived from BedMachine-2. Ice-shelf basal melting is simulated using a three-equation thermodynamic parameterization with velocity-dependent exchange coefficients. Tidal effects are parameterized using spatially varying tidal velocities derived from CATS2008. The dataset provides gridded ocean and ice-shelf variables interpolated onto the MISOMIP2 standard grid using linear triangular barycentric interpolation. Variables include ocean temperature, salinity, circulation, sea-ice properties, and ice-shelf/ocean interaction diagnostics required by the MISOMIP2 protocol. The simulation corresponds to the OceanA-hind and OceanW-hind experiment of MISOMIP2 and is intended for studies of Antarctic ice-shelf/ocean interactions, Southern Ocean variability, and model intercomparison activities. References: Mathiot, P., & Jourdain, N. C. (2023). Southern Ocean warming and Antarctic ice shelf melting in conditions plausible by late 23rd century in a high-end scenario. Ocean Science, 19, 1595–1615. https://doi.org/10.5194/os-19-1595-2023 Acknowledgements: This work was granted access to the high-performance computing (HPC) resources of CINES and TGCC under allocations A0100106035 and A0120106035 attributed by GENCI.