Details

Autor(en) / Beteiligte

• MacKinnon, Jennifer A.
• Zhao, Zhongxiang
• Whalen, Caitlin B.
• Waterhouse, Amy F.
• Trossmaman, David S.
• Sun, Oliver M.
• St. Laurent, Louis C.
• Simmmmons, 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, Williamam 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.

Titel

CLIMATE PROCESS TEAM ON INTERNAL WAVE–DRIVEN OCEAN MIXING

Ist Teil von

• Bulletin of the American Meteorological Society, 2017-11, Vol.98 (11), p.2429-2454

Ort / Verlag

United States: American Meteorological Society

Erscheinungsjahr

2017

Quelle

EZB-FREE-00999 freely available EZB journals

Beschreibungen/Notizen

• 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.