4.5 Article

Revisiting dependences of the drag coefficient at the sea surface on wind speed and sea state

Journal

CONTINENTAL SHELF RESEARCH
Volume 207, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.csr.2020.104188

Keywords

Sea surface roughness; Drag coefficient; Wave age; Significant wave height

Categories

Funding

  1. Ocean Frontier Institute (OFI)
  2. Government of Canada Program World Class Prevention, Preparedness and Response for Oil Spills from Ships Initiative [D11190]
  3. Shenzhen Government fund [KQJSCX20170720174016789]
  4. Marine Environmental Observation Prediction and Response Network (MEOPAR) [1-02-01-023.9]
  5. government of Canada's Networks of Centers of Excellence Program
  6. Natural Sciences and Engineering Research Council of Canada (NSERC) [217081]

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Accurate representation of wind stress is important for modelling and predictions of marine environmental conditions. The effect of sea state on wind stress is usually parameterized by relating the equivalent sea surface roughness to the wave age or wave steepness. In this study, a new parameterization is presented for the dependences of sea surface roughness on the wind speed and sea state based on observations. Analyses of observations demonstrate that the sea surface roughness is correlated with the wave age stronger than the wave steepness. As a result, the wave-dependent sea surface roughness is parameterized in terms of the wave age in the new parameterization. The new parameterization features that the sea surface roughness has different dependences on the wave age under wind-sea-dominated, mixed and swell-dominated sea states. Younger waves have larger values of the drag coefficient under wind-sea-dominated and mixed sea states but older waves have larger values under swell-dominated sea states. The drag coefficient predicted by the new parameterization is enhanced at low winds and levels off at high winds. The applicability of the new parameterization is investigated using a nested-grid wave model for the northwest Atlantic based on WAVEWATCH III. The wave model results during a winter storm in March 2014 are compared with the available measurements from buoys and satellite altimeters over the study region. Our results demonstrate that the new parameterization reduces deficiencies of three existing parameterizations of underestimating significant wave heights (SWHs) at low winds (or old waves) and overestimating SWHs at moderate and high winds (or young waves). Overall, the new parameterization performs the best in predicting SWHs during the winter storm in comparison with the existing schemes.

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