Barotropic tides in MPAS-Ocean (E3SM V2): impact of ice shelf cavities

• Published in: Geoscientific Model Development
• Main Authors: Pal, Nairita, Barton, Kristin N., Petersen, Mark R., Brus, Steven R., Engwirda, Darren, Arbic, Brian K., Roberts, Andrew F., Westerink, Joannes J., Wirasaet, Damrongsak
• Format: Text
• Language: English
• Published: 2023
• Subjects: Antarctic; Southern Ocean; Antarc*; Ice Shelf; Ice Shelves; Sea ice
• Online Access: https://doi.org/10.5194/gmd-16-1297-2023; https://gmd.copernicus.org/articles/16/1297/2023/

Oceanic tides are seldom represented in Earth system models (ESMs) owing to the need for high horizontal resolution to accurately represent the associated barotropic waves close to coasts. This paper presents results of tides implemented in the Model for Prediction Across Scales–Ocean or MPAS-Ocean, which is the ocean component within the U.S. Department of Energy developed Energy Exascale Earth System Model (E3SM). MPAS-Ocean circumvents the limitation of low resolution using unstructured global meshing. We are at this stage simulating the largest semidiurnal ( M 2 , S 2 , N 2 ) and diurnal ( K 1 , O 1 ) tidal constituents in a single-layer version of MPAS-O. First, we show that the tidal constituents calculated using MPAS-Ocean closely agree with the results of the global tidal prediction model TPXO8 when suitably tuned topographic wave drag and bottom drag coefficients are employed. Thereafter, we present the sensitivity of global tidal evolution due to the presence of Antarctic ice shelf cavities. The effect of ice shelves on the amplitude and phase of tidal constituents are presented. Lower values of complex errors (with respect to TPXO8 results) for the M 2 tidal constituents are observed when the ice shelf is added in the simulations, with particularly strong improvement in the Southern Ocean. Our work points towards future research with varying Antarctic ice shelf geometries and sea ice coupling that might lead to better comparison and prediction of tides and thus better prediction of sea-level rise and also the future climate variability.