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Interacting internal waves explain global patterns of interior ocean mixing.
Dematteis, Giovanni; Le Boyer, Arnaud; Pollmann, Friederike; Polzin, Kurt L; Alford, Matthew H; Whalen, Caitlin B; Lvov, Yuri V.
Afiliação
  • Dematteis G; Dipartimento di Fisica, Università degli Studi di Torino, Torino, Italy. giovannidematteis@gmail.com.
  • Le Boyer A; Physical Oceanography Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA. giovannidematteis@gmail.com.
  • Pollmann F; Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA.
  • Polzin KL; Institut für Meereskunde, Universität Hamburg, Hamburg, Germany.
  • Alford MH; Physical Oceanography Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA.
  • Whalen CB; Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA.
  • Lvov YV; Applied Physics Laboratory, University of Washington, Seattle, WA, USA.
Nat Commun ; 15(1): 7468, 2024 Aug 29.
Article em En | MEDLINE | ID: mdl-39209838
ABSTRACT
Across the stable density stratification of the abyssal ocean, deep dense water is slowly propelled upward by sustained, though irregular, turbulent mixing. The resulting mean upwelling determines large-scale oceanic circulation properties like heat and carbon transport. In the ocean interior, this turbulent mixing is caused mainly by breaking internal waves generated predominantly by winds and tides, these waves interact nonlinearly, transferring energy downscale, and finally become unstable, break and mix the water column. This paradigm, long parameterized heuristically, still lacks full theoretical explanation. Here, we close this gap using wave-wave interaction theory with input from both localized and global observations. We find near-ubiquitous agreement between first-principle predictions and observed mixing patterns in the global ocean interior. Our findings lay the foundations for a wave-driven mixing parameterization for ocean general circulation models that is entirely physics-based, which is key to reliably represent future climate states that could differ substantially from today's.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article