nerc.ac.uk

Estimating dissipation rates associated with double diffusion

Middleton, L. ORCID: https://orcid.org/0000-0002-2821-6992; Fine, E. C.; MacKinnon, J. A.; Alford, M. H.; Taylor, J.R.. 2021 Estimating dissipation rates associated with double diffusion. Geophysical Research Letters, 48 (15), e2021GL092779. 13, pp. 10.1029/2021GL092779

Before downloading, please read NORA policies.
[thumbnail of Open Access]
Preview
Text (Open Access)
© 2021. The Authors.
2021GL092779.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (1MB) | Preview

Abstract/Summary

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 hypothesised 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) 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 CTD data.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1029/2021GL092779
ISSN: 0094-8276
Additional Keywords: Ocean mixing, Double-diffusive convection, Compensated thermohaline variance
Date made live: 28 Jun 2021 13:43 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/530576

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...