28 Jun 2023
 | 28 Jun 2023
Status: this preprint is currently under review for the journal WES.

Brief communication: Impact of swell waves on atmospheric surface turbulence: A wave-turbulence decomposition method

Mostafa Bakhoday Paskyabi

Abstract. To characterize the turbulence quantities such as vertical momentum fluxes during swell wave conditions, we develop a wave-turbulence decomposition method to split the high-frequency surface wind data into wind and wave time series. By assuming the frozen turbulence field, the method replaces an empirically fitted spectrum to the observed wind spectrum within the wave-affected frequency band. Time series of waves and turbulence are then synthetically generated based on a proposed wind-wave coherence function. Using two days of sonic anemometer wind measurements at 15 m height, the upward momentum transfer could be observed during high-steady (∼ 7 m/s) and decaying wind conditions. The vertical wind spectra show, however, higher energy within the wave frequency bands during low winds, old sea, and stable boundary layer condition. During the high and decaying winds, the atmospheric stability changes between unstable and stable conditions, blurring the wave signals due to the thermally/mechanically generated turbulence.

Mostafa Bakhoday Paskyabi

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-62', Anonymous Referee #1, 15 Aug 2023
  • RC2: 'Comment on wes-2023-62', Lichuan Wu, 18 Aug 2023
    • AC2: 'Reply on RC2', Mostafa Bakhoday-Paskyabi, 11 Oct 2023
  • AC1: 'Comment on wes-2023-62', Mostafa Bakhoday-Paskyabi, 11 Oct 2023
Mostafa Bakhoday Paskyabi

Data sets

Sonic anemometer data Mostafa Bakhoday Paskyabi

Model code and software

Some matlab and python codes Mostafa Bakhoday Paskyabi

Mostafa Bakhoday Paskyabi


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Short summary
The momentum and energy exchange between atmosphere and ocean are controlled by the air-sea wavy processes, affecting the levels of atmospheric turbulence and wind profiles. A more accurate representation of key air-sea interaction processes, such as wind-wave-turbulence interactions, greatly influences the design and operation of offshore wind turbines/farms. Furthermore, accounting for wave effects plays a vital role in the numerical modeling of offshore wind energy related applications.