Whitecap Coverage Dependence on Wind and Wave Statistics as Observed during SO GasEx and HiWinGS

Author:

Brumer Sophia E.1,Zappa Christopher J.1,Brooks Ian M.2,Tamura Hitoshi3,Brown Scott M.1,Blomquist Byron W.45,Fairall Christopher W.4,Cifuentes-Lorenzen Alejandro6

Affiliation:

1. a Ocean and Climate Physics Division, Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York

2. b School of Earth and Environment, University of Leeds, Leeds, United Kingdom

3. c Port and Airport Research Institute, Yokosuka, Japan

4. d National Oceanic and Atmospheric Administration/Earth System Research Laboratory, Boulder, Colorado

5. e Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado

6. f Department of Marine Sciences, University of Connecticut, Groton, Connecticut

Abstract

AbstractConcurrent wavefield and turbulent flux measurements acquired during the Southern Ocean (SO) Gas Exchange (GasEx) and the High Wind Speed Gas Exchange Study (HiWinGS) projects permit evaluation of the dependence of the whitecap coverage W on wind speed, wave age, wave steepness, mean square slope, and wind-wave and breaking Reynolds numbers. The W was determined from over 600 high-frequency visible imagery recordings of 20 min each. Wave statistics were computed from in situ and remotely sensed data as well as from a WAVEWATCH III hindcast. The first shipborne estimates of W under sustained 10-m neutral wind speeds U10N of 25 m s−1 were obtained during HiWinGS. These measurements suggest that W levels off at high wind speed, not exceeding 10% when averaged over 20 min. Combining wind speed and wave height in the form of the wind-wave Reynolds number resulted in closely agreeing models for both datasets, individually and combined. These are also in good agreement with two previous studies. When expressing W in terms of wavefield statistics only or wave age, larger scatter is observed and/or there is little agreement between SO GasEx, HiWinGS, and previously published data. The wind speed–only parameterizations deduced from the SO GasEx and HiWinGS datasets agree closely and capture more of the observed W variability than Reynolds number parameterizations. However, these wind speed–only models do not agree as well with previous studies than the wind-wave Reynolds numbers.

Funder

National Science Foundation

National Oceanic and Atmospheric Administration

Climate Program Office

Publisher

American Meteorological Society

Subject

Oceanography

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