On the Exchange of Momentum over the Open Ocean

James B. Edson * Department of Marine Sciences, University of Connecticut, Groton, Connecticut

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Venkata Jampana * Department of Marine Sciences, University of Connecticut, Groton, Connecticut

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Robert A. Weller +Woods Hole Oceanographic Institution, Woods Hole, Massachusetts

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Sebastien P. Bigorre +Woods Hole Oceanographic Institution, Woods Hole, Massachusetts

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Albert J. Plueddemann +Woods Hole Oceanographic Institution, Woods Hole, Massachusetts

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Christopher W. Fairall #NOAA/Environmental System Laboratory, Boulder, Colorado

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Scott D. Miller @Atmospheric Sciences Research Center, State University of New York, Albany, New York

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Larry Mahrt &College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon

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Dean Vickers &College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon

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Hans Hersbach ** European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom

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Abstract

This study investigates the exchange of momentum between the atmosphere and ocean using data collected from four oceanic field experiments. Direct covariance estimates of momentum fluxes were collected in all four experiments and wind profiles were collected during three of them. The objective of the investigation is to improve parameterizations of the surface roughness and drag coefficient used to estimate the surface stress from bulk formulas. Specifically, the Coupled Ocean–Atmosphere Response Experiment (COARE) 3.0 bulk flux algorithm is refined to create COARE 3.5. Oversea measurements of dimensionless shear are used to investigate the stability function under stable and convective conditions. The behavior of surface roughness is then investigated over a wider range of wind speeds (up to 25 m s−1) and wave conditions than have been available from previous oversea field studies. The wind speed dependence of the Charnock coefficient α in the COARE algorithm is modified to , where m = 0.017 m−1 s and b = −0.005. When combined with a parameterization for smooth flow, this formulation gives better agreement with the stress estimates from all of the field programs at all winds speeds with significant improvement for wind speeds over 13 m s−1. Wave age– and wave slope–dependent parameterizations of the surface roughness are also investigated, but the COARE 3.5 wind speed–dependent formulation matches the observations well without any wave information. The available data provide a simple reason for why wind speed–, wave age–, and wave slope–dependent formulations give similar results—the inverse wave age varies nearly linearly with wind speed in long-fetch conditions for wind speeds up to 25 m s−1.

Corresponding author address: Dr. James B. Edson, University of Connecticut, Marine Sciences, 1080 Shennecossett Road, Groton, CT 06340. E-mail: james.edson@uconn.edu

Abstract

This study investigates the exchange of momentum between the atmosphere and ocean using data collected from four oceanic field experiments. Direct covariance estimates of momentum fluxes were collected in all four experiments and wind profiles were collected during three of them. The objective of the investigation is to improve parameterizations of the surface roughness and drag coefficient used to estimate the surface stress from bulk formulas. Specifically, the Coupled Ocean–Atmosphere Response Experiment (COARE) 3.0 bulk flux algorithm is refined to create COARE 3.5. Oversea measurements of dimensionless shear are used to investigate the stability function under stable and convective conditions. The behavior of surface roughness is then investigated over a wider range of wind speeds (up to 25 m s−1) and wave conditions than have been available from previous oversea field studies. The wind speed dependence of the Charnock coefficient α in the COARE algorithm is modified to , where m = 0.017 m−1 s and b = −0.005. When combined with a parameterization for smooth flow, this formulation gives better agreement with the stress estimates from all of the field programs at all winds speeds with significant improvement for wind speeds over 13 m s−1. Wave age– and wave slope–dependent parameterizations of the surface roughness are also investigated, but the COARE 3.5 wind speed–dependent formulation matches the observations well without any wave information. The available data provide a simple reason for why wind speed–, wave age–, and wave slope–dependent formulations give similar results—the inverse wave age varies nearly linearly with wind speed in long-fetch conditions for wind speeds up to 25 m s−1.

Corresponding author address: Dr. James B. Edson, University of Connecticut, Marine Sciences, 1080 Shennecossett Road, Groton, CT 06340. E-mail: james.edson@uconn.edu
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