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- Jennifer A. MacKinnon
- Scripps Institution of Oceanography, La Jolla, California
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- Zhongxiang Zhao
- Applied Physics Laboratory, University of Washington, Seattle, Washington
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- Caitlin B. Whalen
- Applied Physics Laboratory, University of Washington, Seattle, Washington
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- Amy F. Waterhouse
- Scripps Institution of Oceanography, La Jolla, California
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- David S. Trossman
- Goddard Earth Sciences Technology and Research, Greenbelt, and Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland
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- Oliver M. Sun
- Woods Hole Oceanographic Institution, Woods Hole, Massachusetts
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- Louis C. St. Laurent
- Woods Hole Oceanographic Institution, Woods Hole, Massachusetts
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- Harper L. Simmons
- University of Alaska Fairbanks, Fairbanks, Alaska
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- Kurt Polzin
- Woods Hole Oceanographic Institution, Woods Hole, Massachusetts
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- Robert Pinkel
- Scripps Institution of Oceanography, La Jolla, California
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- Andrew Pickering
- Oregon State University, Corvallis, Oregon
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- Nancy J. Norton
- National Center for Atmospheric Research,* Boulder, Colorado
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- Jonathan D. Nash
- Oregon State University, Corvallis, Oregon
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- Ruth Musgrave
- Massachusetts Institute of Technology, Cambridge, Massachusetts
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- Lynne M. Merchant
- Scripps Institution of Oceanography, La Jolla, California
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- Angelique V. Melet
- Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, New Jersey, and Mercator Ocean, Ramonville St. Agne, France
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- Benjamin Mater
- Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, New Jersey
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- Sonya Legg
- Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, New Jersey
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- William G. Large
- National Center for Atmospheric Research,* Boulder, Colorado
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- Eric Kunze
- Northwest Research Associates, Seattle, Washington
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- Jody M. Klymak
- University of Victoria, Victoria, British Columbia, Canada
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- Markus Jochum
- Niels Bohr Institute, Copenhagen, Denmark
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- Steven R. Jayne
- Woods Hole Oceanographic Institution, Woods Hole, Massachusetts
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- Robert W. Hallberg
- NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
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- Stephen M. Griffies
- NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
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- Steve Diggs
- Scripps Institution of Oceanography, La Jolla, California
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- Gokhan Danabasoglu
- National Center for Atmospheric Research,* Boulder, Colorado
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- Eric P. Chassignet
- Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida
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- Maarten C. Buijsman
- The University of Southern Mississippi, Hattiesburg, Mississippi, and Division of Marine Science, John C. Stennis Space Center, Hancock County, Mississippi
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- Frank O. Bryan
- National Center for Atmospheric Research,* Boulder, Colorado
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- Bruce P. Briegleb
- National Center for Atmospheric Research,* Boulder, Colorado
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- Andrew Barna
- Scripps Institution of Oceanography, La Jolla, California
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- Brian K. Arbic
- Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, Michigan
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- Joseph K. Ansong
- Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, Michigan
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- Matthew H. Alford
- Scripps Institution of Oceanography, La Jolla, California
抄録
<jats:title>Abstract</jats:title> <jats:p>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.</jats:p>
収録刊行物
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- Bulletin of the American Meteorological Society
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Bulletin of the American Meteorological Society 98 (11), 2429-2454, 2017-11-01
American Meteorological Society