Climate Process Team on Internal Wave–Driven Ocean Mixing

Author:

MacKinnon Jennifer A.1,Zhao Zhongxiang2,Whalen Caitlin B.2,Waterhouse Amy F.1,Trossman David S.3,Sun Oliver M.4,St. Laurent Louis C.4,Simmons Harper L.5,Polzin Kurt4,Pinkel Robert1,Pickering Andrew6,Norton Nancy J.7,Nash Jonathan D.6,Musgrave Ruth8,Merchant Lynne M.1,Melet Angelique V.9,Mater Benjamin10,Legg Sonya10,Large William G.7,Kunze Eric11,Klymak Jody M.12,Jochum Markus13,Jayne Steven R.4,Hallberg Robert W.14,Griffies Stephen M.14,Diggs Steve1,Danabasoglu Gokhan7,Chassignet Eric P.15,Buijsman Maarten C.16,Bryan Frank O.7,Briegleb Bruce P.7,Barna Andrew1,Arbic Brian K.17,Ansong Joseph K.17,Alford Matthew H.1

Affiliation:

1. Scripps Institution of Oceanography, La Jolla, California

2. Applied Physics Laboratory, University of Washington, Seattle, Washington

3. Goddard Earth Sciences Technology and Research, Greenbelt, and Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland

4. Woods Hole Oceanographic Institution, Woods Hole, Massachusetts

5. University of Alaska Fairbanks, Fairbanks, Alaska

6. Oregon State University, Corvallis, Oregon

7. National Center for Atmospheric Research,* Boulder, Colorado

8. Massachusetts Institute of Technology, Cambridge, Massachusetts

9. Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, New Jersey, and Mercator Ocean, Ramonville St. Agne, France

10. Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, New Jersey

11. Northwest Research Associates, Seattle, Washington

12. University of Victoria, Victoria, British Columbia, Canada

13. Niels Bohr Institute, Copenhagen, Denmark

14. NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

15. Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida

16. The University of Southern Mississippi, Hattiesburg, Mississippi, and Division of Marine Science, John C. Stennis Space Center, Hancock County, Mississippi

17. Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, Michigan

Abstract

Abstract Diapycnal mixing plays a primary role in the thermodynamic balance of the ocean and, consequently, in oceanic heat and carbon uptake and storage. Though observed mixing rates are on average consistent with values required by inverse models, recent attention has focused on the dramatic spatial variability, spanning several orders of magnitude, of mixing rates in both the upper and deep ocean. Away from ocean boundaries, the spatiotemporal patterns of mixing are largely driven by the geography of generation, propagation, and dissipation of internal waves, which supply much of the power for turbulent mixing. Over the last 5 years and under the auspices of U.S. Climate Variability and Predictability Program (CLIVAR), a National Science Foundation (NSF)- and National Oceanic and Atmospheric Administration (NOAA)-supported Climate Process Team has been engaged in developing, implementing, and testing dynamics-based parameterizations for internal wave–driven turbulent mixing in global ocean models. The work has primarily focused on turbulence 1) near sites of internal tide generation, 2) in the upper ocean related to wind-generated near inertial motions, 3) due to internal lee waves generated by low-frequency mesoscale flows over topography, and 4) at ocean margins. Here, we review recent progress, describe the tools developed, and discuss future directions.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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