An assessment of the impact of surface currents on wave modeling in the Southern Ocean
This paper presents an assessment of the impact of the ocean circulation on modeled wave fields in the Southern Ocean, where a systematic positive bias of the modeled wave height against altimetry data has been reported. The inclusion of ocean currents in the wave model considerably reduces the positive bias of the simulated wave height for high southern latitudes. The decrease of wave energy in the presence of currents is almost exclusively related to the reduction of the relative wind, caused by an overall co-flowing current field associated with the Antarctic Circumpolar Current. Improvements of the model results are also found for the peak period and the mean period against a long-term moored buoy. At the mooring location, the effect of currents is greater for larger and longer waves, suggesting remotely generated swells are more influenced by the currents than local waves. However, an additional qualitative analysis using high-resolution currents in a finer grid nested to the global coarser grid shows that typical resolution of global hydrodynamic reanalysis is not sufficient to resolve mesoscale eddies, and as a consequence, the simulation of mesoscale wave patterns can be compromised. The results are also discussed in terms of the accuracy of forcing fields.
KeywordsWind-generated waves Deep water wave modeling Wave–current interactions Relative wind
We would like to thank Dr. Qingxiang Liu for valuable discussions on the modeling results. We are thankful to the anonymous reviewers for all suggestions and criticisms.
Buoy data were sourced from the Integrated Marine Observing System (IMOS)—IMOS is a national collaborative research infrastructure, supported by Australian Government. Support from the Australian Victorian Government through the Victorian International Research Scholarship and from the Australia-China Joint Research Centre for Maritime Engineering is acknowledged by the first author. A.V. thanks support from the Australian Research Council through Discovery Grant DP130100227.
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