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Cited by 367

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

Climate Process Team on Internal Wave–Driven Ocean Mixing

Open access
MacKinnon, Jennifer A., Zhao, Zhongxiang, Whalen, Caitlin B., Waterhouse, Amy F., Trossman, David S., Sun, Oliver M., St. Laurent, Louis C., Simmons, Harper L., Polzin, Kurt, Pinkel, Robert, Pickering, Andrew, Norton, Nancy J., Nash, Jonathan D., Musgrave, Ruth, Merchant, Lynne M., Melet, Angelique V., Mater, Benjamin, Legg, Sonya, Large, William G., Kunze, Eric, Klymak, Jody M., Jochum, Markus, Jayne, Steven R., Hallberg, Robert W., Griffies, Stephen M., Diggs, Steve, Danabasoglu, Gokhan, Chassignet, Eric P., Buijsman, Maarten C., Bryan, Frank O., Briegleb, Bruce P., Barna, Andrew, Arbic, Brian K., Ansong, Joseph K., Alford, Matthew H.·2017·Bulletin of the American Meteorological Society

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.

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Metadata

Authors
MacKinnon, J. A., Zhao, Z., Whalen, C. B., Waterhouse, A. F., Trossman, D. S., Sun, O. M., St. Laurent, L. C., Simmons, H. L., Polzin, K., Pinkel, R., Pickering, A., Norton, N. J., Nash, J. D., Musgrave, R., Merchant, L. M., Melet, A. V., Mater, B., Legg, S., Large, W. G., Kunze, E., Klymak, J. M., Jochum, M., Jayne, S. R., Hallberg, R. W., Griffies, S. M., Diggs, S., Danabasoglu, G., Chassignet, E. P., Buijsman, M. C., Bryan, F. O., Briegleb, B. P., Barna, A., Arbic, B. K., Ansong, J. K., & Alford, M. H.
Venue
Bulletin of the American Meteorological Society
Published
2017-11
Volume
98
Issue
11
Pages
2429-2454
ISSN
  • 0003-0007 (ISSN-L)
  • 1520-0477
OpenAlex
W2599963308
Cited by
367
References
69
FWCI
16.08
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Climate Process Team on Internal Wave–Driven Ocean Mixing. https://app.cochat.ai/papers/10.1175/bams-d-16-0030.1
The paper
MacKinnon, J. A., Zhao, Z., Whalen, C. B., Waterhouse, A. F., Trossman, D. S., Sun, O. M., St. Laurent, L. C., Simmons, H. L., Polzin, K., Pinkel, R., Pickering, A., Norton, N. J., Nash, J. D., Musgrave, R., Merchant, L. M., Melet, A. V., Mater, B., Legg, S., Large, W. G., . . . Alford, M. H. (2017). Climate Process Team on Internal Wave–Driven Ocean Mixing. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-16-0030.1

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