Resolving the mesoscale at reduced computational cost with FESOM 2.5: efficient modeling approaches applied to the Southern Ocean

• Main Authors: Beech, Nathan, Rackow, Thomas, Semmler, Tido, Jung, Thomas
• Format: Text
• Language: English
• Published: 2023
• Subjects: Southern Ocean
• Online Access: https://doi.org/10.5194/egusphere-2023-1496; https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1496/

Several cost-efficient, high-resolution modeling approaches are applied to simulations of the Southern Ocean in past, present, and future climates. The results are compared with an ensemble of medium-resolution, eddy-present simulations and evaluated based on their ability to reproduce observed mesoscale activity and to reveal a response to climate change distinct from natural variability. The high-resolution simulations reproduce the observed magnitude of Southern Ocean eddy kinetic energy (EKE) well, but differences remain in local magnitudes and the spatial distribution of EKE. The coarser, eddy-present ensemble simulates a similar pattern of EKE but underrepresents observed levels by 50 %. Five years of simulated data in each time period is found to produce consistent results when evaluating mean conditions and assessing change in the region as a whole. At 1 °C of warming, the high-resolution simulations produce no change in overall EKE, in contrast to the increase projected by the eddy-permitting ensemble and despite full ensemble agreement. At 4 °C of warming, both datasets produce consistent levels of EKE rise in relative terms, although not absolute magnitudes, as well as an increase in EKE variability. Simulated EKE rise is concentrated where flow interacts with topographic features in regions already known to be eddy-rich. Regional EKE change in the high-resolution simulations is consistent with changes seen in at least four of five eddy-permitting ensemble members at 1 °C of warming, and all ensemble members at 4 °C. However, substantial noise would make these changes difficult to distinguish from natural variability without an ensemble.