Estimating Dissipation Rates Associated With Double Diffusion
<jats:title>Abstract</jats:title><jats:p>Double diffusion refers to a variety of turbulent processes in which potential energy is released into kinetic energy, made possible in the ocean by the difference in molecular diffusivities between salinity and temperature. Here, we present...
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ftunivcam:oai:www.repository.cam.ac.uk:1810/325974 2024-01-28T10:05:11+01:00 Estimating Dissipation Rates Associated With Double Diffusion Middleton, L Fine, EC MacKinnon, JA Alford, MH Taylor, JR 2021-07-28T09:43:25Z application/pdf text/xml https://www.repository.cam.ac.uk/handle/1810/325974 https://doi.org/10.17863/CAM.73431 en eng eng American Geophysical Union (AGU) http://dx.doi.org/10.1029/2021gl092779 Geophysical Research Letters https://www.repository.cam.ac.uk/handle/1810/325974 doi:10.17863/CAM.73431 ocean mixing double-diffusive convection compensated thermohaline variance Article 2021 ftunivcam https://doi.org/10.17863/CAM.73431 2024-01-04T23:19:29Z <jats:title>Abstract</jats:title><jats:p>Double diffusion refers to a variety of turbulent processes in which potential energy is released into kinetic energy, made possible in the ocean by the difference in molecular diffusivities between salinity and temperature. Here, we present a new method for estimating the kinetic energy dissipation rates forced by double‐diffusive convection using temperature and salinity data alone. The method estimates the up‐gradient diapycnal buoyancy flux associated with double diffusion, which is hypothesized to balance the dissipation rate. To calculate the temperature and salinity gradients on small scales we apply a canonical scaling for compensated thermohaline variance (or ‘spice’) on sub‐measurement scales with a fixed buoyancy gradient. Our predicted dissipation rates compare favorably with microstructure measurements collected in the Chukchi Sea. Fine et al. (2018), <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://doi.org/10.1175/jpo-d-18-0028.1">https://doi.org/10.1175/jpo-d-18-0028.1</jats:ext-link>, showed that dissipation rates provide good estimates for heat fluxes in this region. Finally, we show the method maintains predictive skill when applied to a sub‐sampling of the Conductivity, Temperature, Depth (CTD) data.</jats:p> Article in Journal/Newspaper Chukchi Chukchi Sea Apollo - University of Cambridge Repository Chukchi Sea |
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Open Polar |
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Apollo - University of Cambridge Repository |
op_collection_id |
ftunivcam |
language |
English |
topic |
ocean mixing double-diffusive convection compensated thermohaline variance |
spellingShingle |
ocean mixing double-diffusive convection compensated thermohaline variance Middleton, L Fine, EC MacKinnon, JA Alford, MH Taylor, JR Estimating Dissipation Rates Associated With Double Diffusion |
topic_facet |
ocean mixing double-diffusive convection compensated thermohaline variance |
description |
<jats:title>Abstract</jats:title><jats:p>Double diffusion refers to a variety of turbulent processes in which potential energy is released into kinetic energy, made possible in the ocean by the difference in molecular diffusivities between salinity and temperature. Here, we present a new method for estimating the kinetic energy dissipation rates forced by double‐diffusive convection using temperature and salinity data alone. The method estimates the up‐gradient diapycnal buoyancy flux associated with double diffusion, which is hypothesized to balance the dissipation rate. To calculate the temperature and salinity gradients on small scales we apply a canonical scaling for compensated thermohaline variance (or ‘spice’) on sub‐measurement scales with a fixed buoyancy gradient. Our predicted dissipation rates compare favorably with microstructure measurements collected in the Chukchi Sea. Fine et al. (2018), <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://doi.org/10.1175/jpo-d-18-0028.1">https://doi.org/10.1175/jpo-d-18-0028.1</jats:ext-link>, showed that dissipation rates provide good estimates for heat fluxes in this region. Finally, we show the method maintains predictive skill when applied to a sub‐sampling of the Conductivity, Temperature, Depth (CTD) data.</jats:p> |
format |
Article in Journal/Newspaper |
author |
Middleton, L Fine, EC MacKinnon, JA Alford, MH Taylor, JR |
author_facet |
Middleton, L Fine, EC MacKinnon, JA Alford, MH Taylor, JR |
author_sort |
Middleton, L |
title |
Estimating Dissipation Rates Associated With Double Diffusion |
title_short |
Estimating Dissipation Rates Associated With Double Diffusion |
title_full |
Estimating Dissipation Rates Associated With Double Diffusion |
title_fullStr |
Estimating Dissipation Rates Associated With Double Diffusion |
title_full_unstemmed |
Estimating Dissipation Rates Associated With Double Diffusion |
title_sort |
estimating dissipation rates associated with double diffusion |
publisher |
American Geophysical Union (AGU) |
publishDate |
2021 |
url |
https://www.repository.cam.ac.uk/handle/1810/325974 https://doi.org/10.17863/CAM.73431 |
geographic |
Chukchi Sea |
geographic_facet |
Chukchi Sea |
genre |
Chukchi Chukchi Sea |
genre_facet |
Chukchi Chukchi Sea |
op_relation |
https://www.repository.cam.ac.uk/handle/1810/325974 doi:10.17863/CAM.73431 |
op_doi |
https://doi.org/10.17863/CAM.73431 |
_version_ |
1789331331034906624 |