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Climate Process Team on Internal Wave-Driven Ocean Mixing.
MacKinnon, Jennifer A; Alford, Matthew H; Ansong, Joseph K; Arbic, Brian K; Barna, Andrew; Briegleb, Bruce P; Bryan, Frank O; Buijsman, Maarten C; Chassignet, Eric P; Danabasoglu, Gokhan; Diggs, Steve; Griffies, Stephen M; Hallberg, Robert W; Jayne, Steven R; Jochum, Markus; Klymak, Jody M; Kunze, Eric; Large, William G; Legg, Sonya; Mater, Benjamin; Melet, Angelique V; Merchant, Lynne M; Musgrave, Ruth; Nash, Jonathan D; Norton, Nancy J; Pickering, Andrew; Pinkel, Robert; Polzin, Kurt; Simmons, Harper L; St Laurent, Louis C; Sun, Oliver M; Trossman, David S; Waterhouse, Amy F; Whalen, Caitlin B; Zhao, Zhongxiang.
Afiliación
  • MacKinnon JA; Scripps Institution of Oceanography, La Jolla USA.
  • Alford MH; Scripps Institution of Oceanography, La Jolla USA.
  • Ansong JK; Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor USA.
  • Arbic BK; Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor USA.
  • Barna A; Scripps Institution of Oceanography, La Jolla USA.
  • Briegleb BP; National Center for Atmospheric Research, Boulder, CO USA.
  • Bryan FO; National Center for Atmospheric Research, Boulder, CO USA.
  • Buijsman MC; Division of Marine Science, University of Southern Mississippi, Stennis Space Center, USA.
  • Chassignet EP; Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, USA.
  • Danabasoglu G; National Center for Atmospheric Research, Boulder, CO USA.
  • Diggs S; Scripps Institution of Oceanography, La Jolla USA.
  • Griffies SM; NOAA Geophysical Fluid Dynamics Laboratory, Princeton USA.
  • Hallberg RW; NOAA Geophysical Fluid Dynamics Laboratory, Princeton USA.
  • Jayne SR; Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
  • Jochum M; Niels Bohr Institute, Copenhagen, Denmark.
  • Klymak JM; University of Victoria, Canada.
  • Kunze E; Northwest Research Associates, Seattle, WA.
  • Large WG; National Center for Atmospheric Research, Boulder, CO USA.
  • Legg S; Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, USA.
  • Mater B; Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, USA.
  • Melet AV; Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, USA. Mercator Ocean, Ramonville St Agne, France.
  • Merchant LM; Scripps Institution of Oceanography, La Jolla USA.
  • Musgrave R; Massachusetts Institute of Technology, Cambridge, USA.
  • Nash JD; Oregon State University, Corvallis, OR, USA.
  • Norton NJ; National Center for Atmospheric Research, Boulder, CO USA.
  • Pickering A; Oregon State University, Corvallis, OR, USA.
  • Pinkel R; Scripps Institution of Oceanography, La Jolla USA.
  • Polzin K; Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
  • Simmons HL; University of Alaska Fairbanks, Fairbanks, Alaska USA.
  • St Laurent LC; Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
  • Sun OM; Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
  • Trossman DS; Goddard Earth Sciences Technology and Research, Greenbelt, Maryland, USA. Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore USA.
  • Waterhouse AF; Scripps Institution of Oceanography, La Jolla USA.
  • Whalen CB; Applied Physics Laboratory, University of Washington, Seattle, Washington, USA.
  • Zhao Z; Applied Physics Laboratory, University of Washington, Seattle, Washington, USA.
Bull Am Meteorol Soc ; 98(11): 2429-2454, 2017 Nov.
Article en En | MEDLINE | ID: mdl-30270923
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 spatio-temporal 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 five years and under the auspices of US CLIVAR, a NSF- and 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.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Bull Am Meteorol Soc Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Bull Am Meteorol Soc Año: 2017 Tipo del documento: Article