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Wave–turbulence interaction-induced vertical mixing and its effects in ocean and climate models
Author(s) -
Fangli Qiao,
Yeli Yuan,
Jia Deng,
Dejun Dai,
Zhenya Song
Publication year - 2016
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2015.0201
Subject(s) - parametrization (atmospheric modeling) , turbulence , turbulence kinetic energy , mixing (physics) , turbulence modeling , atmosphere (unit) , atmospheric sciences , environmental science , climate model , wind wave , meteorology , wave turbulence , k omega turbulence model , mechanics , physics , geology , climate change , oceanography , quantum mechanics , radiative transfer
Heated from above, the oceans are stably stratified. Therefore, the performance of general ocean circulation models and climate studies through coupled atmosphere–ocean models depends critically on vertical mixing of energy and momentum in the water column. Many of the traditional general circulation models are based on total kinetic energy (TKE), in which the roles of waves are averaged out. Although theoretical calculations suggest that waves could greatly enhance coexisting turbulence, no field measurements on turbulence have ever validated this mechanism directly. To address this problem, a specially designed field experiment has been conducted. The experimental results indicate that the wave–turbulence interaction-induced enhancement of the background turbulence is indeed the predominant mechanism for turbulence generation and enhancement. Based on this understanding, we propose a new parametrization for vertical mixing as an additive part to the traditional TKE approach. This new result reconfirmed the past theoretical model that had been tested and validated in numerical model experiments and field observations. It firmly establishes the critical role of wave–turbulence interaction effects in both general ocean circulation models and atmosphere–ocean coupled models, which could greatly improve the understanding of the sea surface temperature and water column properties distributions, and hence model-based climate forecasting capability.

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