Publication Date:
2022-05-26
Description:
Author Posting. © American Geophysical Union, 2019. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research-Oceans 124(7), (2019): 5067-5084, doi: 10.1029/2018JC014688.
Description:
Changes in the rate of ocean‐driven basal melting of Antarctica's ice shelves can alter the rate at which the grounded ice sheet loses mass and contributes to sea level change. Melt rates depend on the inflow of ocean heat, which occurs through steady circulation and eddy fluxes. Previous studies have demonstrated the importance of eddy fluxes for ice shelves affected by relatively warm intrusions of Circumpolar Deep Water. However, ice shelves on cold water continental shelves primarily melt from dense shelf water near the grounding line and from light surface water at the ice shelf front. Eddy effects on basal melt of these ice shelves have not been studied. We investigate where and when a regional ocean model of the Ross Sea resolves eddies and determine the effect of eddy processes on basal melt. The size of the eddies formed depends on water column stratification and latitude. We use simulations at horizontal grid resolutions of 5 and 1.5 km and, in the 1.5‐km model, vary the degree of topography smoothing. The higher‐resolution models generate about 2–2.5 times as many eddies as the low‐resolution model. In all simulations, eddies cross the ice shelf front in both directions. However, there is no significant change in basal melt between low‐ and high‐resolution simulations. We conclude that higher‐resolution models (〈1 km) are required to better represent eddies in the Ross Sea but hypothesize that basal melt of the Ross Ice Shelf is relatively insensitive to our ability to fully resolve the eddy field.
Description:
This research was funded by NSF's Antarctic Research Program (ANT‐0944174, ANT‐0944165, and ANT‐1443677), Ocean Sciences Program (OCE‐1357522), and by the Future of Ice Initiative at the University of Washington. It was supported by the Turing High Performance Computing Cluster at Old Dominion University. S. M. acknowledges the support of her dissertation committee. Portions of this work appear in S. M.'s PhD thesis. The eddy tracking code and specific version of ROMS are on S. M.'s github (https://github.com/mnemoniko). Forcing files to run the simulations described are in three separate records on zenodo.org under DOIs 10.5281/zenodo.2649541, 10.5281/zenodo.2649547, and 10.5281/zenodo.2650294. We thank three anonymous reviewers for their helpful suggestions.
Description:
2020-01-04
Repository Name:
Woods Hole Open Access Server
Type:
Article
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