2020
DOI: 10.1029/2019gl086813
|View full text |Cite
|
Sign up to set email alerts
|

How Variable Is Mixing Efficiency in the Abyss?

Abstract: Mixing efficiency is an important turbulent flow property in fluid dynamics, whose variability potentially affects the large-scale ocean circulation. However, there are several confusing definitions. Here we compare and contrast patch-wise versus bulk estimates of mixing efficiency in the abyss by revisiting data from previous extensive field surveys in the Brazil Basin. Observed patch-wise efficiency is highly variable over a wide range of turbulence intensity. Bulk efficiency is dominated by rare extreme tur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
14
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 26 publications
(16 citation statements)
references
References 42 publications
2
14
0
Order By: Relevance
“…This thought agrees with Ijichi et al. (2020), who found values as large as near the sea floor in the Brazil Basin where hydraulic overflows are thought to cause convection, and also with the latest DNS study of Howland, Taylor & Caulfield (2020). In conclusion, we should not consider that the mixing efficiency is parameterised solely from a single parameter , but always pay attention to the mechanisms of turbulence generation.…”
Section: Discussionsupporting
confidence: 92%
“…This thought agrees with Ijichi et al. (2020), who found values as large as near the sea floor in the Brazil Basin where hydraulic overflows are thought to cause convection, and also with the latest DNS study of Howland, Taylor & Caulfield (2020). In conclusion, we should not consider that the mixing efficiency is parameterised solely from a single parameter , but always pay attention to the mechanisms of turbulence generation.…”
Section: Discussionsupporting
confidence: 92%
“…The simulation setup details were discussed in . The data in Figure 3 is from Ijichi et al (2020) and is openly available as their supplementary material (https://doi.org/10.1029/2019GL086813).…”
Section: Data Availability Statementmentioning
confidence: 99%
“…Both the first (Gargett, 2003) and second (Ijichi et al., 2020) assumptions are debatable. The fluxes of heat and salt are converted to a flux of buoyancy using the thermal expansion coefficient α and haline contraction coefficient β , both of which are calculated for the bin‐averaged temperature and salinity.…”
Section: Spatial and Temporal Variability Of Mixing Along 95°ementioning
confidence: 99%