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Zhang, Yuming; Song, Zhaoyang; Wu, Kejian; Shi, Yongfang (2018): Impacts of random surface waves on the estimates of wind energy input to the Ekman layer in the Antarctic Circumpolar Current, link to netCDF files. PANGAEA, https://doi.org/10.1594/PANGAEA.892972, Supplement to: Zhang, Y et al. (2019): Influences of random surface waves on the estimates of wind energy input to the Ekman layer in the Antarctic circumpolar current region. Journal of Geophysical Research: Oceans, https://doi.org/10.1029/2018JC014470

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Abstract:
Sea surface waves significantly affect the wind energy input to the Ekman layer in the upper ocean. In the study, we first incorporated the wave-induced Coriolis-Stokes forcing, the reduction of wind stress caused by wave generation, and wave dissipation into the classical Ekman model to investigate the kinetic energy balance in the wave-affected Ekman layer. Then, both the theoretical steady-state solution for the idealized condition and the non-steady state solution for the realistic ocean were derived. Total energy input to the wave-affected Ekman layer includes the wind stress energy input and the wave-induced energy input. Based on the WAVEWATCH III model, the wave spectra were simulated to represent realistic random directional wave conditions. The wind stress energy input and the wave-induced energy input to the wave-affected Ekman layer in the Antarctic Circumpolar Current (ACC) in the period from 1988 to 2010 were then calculated. The annual mean total energy input in the ACC region was 402.5 GW and the proportions of the wind stress energy input and the wave-induced energy input were respectively 85% and 15%. Particularly, total energy input in the ACC in the wave-affected Ekman layer model was 59.8% lower than that in the classical Ekman model. We conclude that surface waves play a significant role in the wind energy input to the Ekman layer.
Coverage:
Median Latitude: -54.000000 * Median Longitude: 180.000000 * South-bound Latitude: -78.000000 * West-bound Longitude: 180.000000 * North-bound Latitude: -30.000000 * East-bound Longitude: 180.000000
Date/Time Start: 1988-01-01T00:00:00 * Date/Time End: 2010-12-31T00:00:00
Event(s):
Southern_Ocean_ACC * Latitude Start: -30.000000 * Longitude Start: -180.000000 * Latitude End: -78.000000 * Longitude End: 180.000000 * Date/Time Start: 1988-01-01T00:00:00 * Date/Time End: 2010-12-31T00:00:00 * Method/Device: Model (Model)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
File contentContentSong, Zhaoyang
File nameFile nameSong, Zhaoyang
File formatFile formatSong, Zhaoyang
File sizeFile sizekByteSong, Zhaoyang
Uniform resource locator/link to fileURL fileSong, Zhaoyang
Size:
25 data points

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Fig. 3: Annual mean wind stress (Cross-Calibrated Multi-Platform data) and Stokes drift velocity (simulated by WAVEWATCH III) averaged from 1988 to 2010Fig3_Wind_stress_Stokes_drift.ncNetCDF71.281Fig3_Wind_stress_Stokes_drift.nc
Fig. 4: Annual mean wind energy input in the Antarctic Circumpolar Current averaged from 1988 to 2010Fig4_Wind_Energy_Input.ncNetCDF89.340Fig4_Wind_Energy_Input.nc
Fig. 5: Annual mean wave energy input in the Antarctic Circumpolar Current averaged from 1988 to 2010Fig5_Wave_Energy_Input.ncNetCDF89.359Fig5_Wave_Energy_Input.nc
Fig. 9: December-January-February (austral summer) mean energy input in the Antarctic Circumpolar Current averaged from 1988 to 2010Fig9_DJF_Energy_Input.ncNetCDF107.094Fig9_DJF_Energy_Input.nc
Fig. 10: June-July-August (austral winter) mean energy input in the Antarctic Circumpolar Current averaged from 1988 to 2010Fig10_JJA_Energy_Input.ncNetCDF107.094Fig10_JJA_Energy_Input.nc