Shelf seas baroclinic energy loss: pycnocline mixing and bottom boundary layer dissipation

Inall, Mark E.; Toberman, Matthew; Polton, Jeff A. ORCID: https://orcid.org/0000-0003-0131-5250; Palmer, Matthew R.; Green, J. A. Mattias; Rippeth, Tom P.. 2021 Shelf seas baroclinic energy loss: pycnocline mixing and bottom boundary layer dissipation. Journal of Geophysical Research: Oceans, 126 (8). https://doi.org/10.1029/2020JC016528

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Official URL: http://dx.doi.org/10.1029/2020JC016528

Abstract/Summary

Observations of turbulent kinetic energy dissipation rate from a range of historical shelf seas data sets are viewed from the perspective of their forcing and dissipation mechanisms: barotropic to baroclinic tidal energy conversion, and pycnocline and bottom boundary layer (BBL) dissipation. The observations are placed in their geographical context using a high resolution numerical model (NEMO AMM60) in order to compute relevant maps of the forcing (conversion). We analyze, in total, 18 shear microstructure surveys undertaken over a 17 year period from 1996 to 2013 on the North West European shelf, consisting of 3,717 vertical profiles of shear microstructure: 2,013 from free falling profilers and 1,704 from underwater gliders. A robust positive relationship is found between model-derived barotropic to baroclinic conversion, and observed pycnocline integrated. A fitted power law relationship of approximately one-third is found, giving a simple new parameterization. We discuss reasons for this apparent power law and where the “missing” dissipation may be occurring. We conclude that internal wave related dissipation in the bottom boundary layer provides a robust explanation and is consistent with a commonly used fine-scale pycnocline dissipation parameterization.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1029/2020JC016528
ISSN:	2169-9275
Date made live:	07 Oct 2021 13:49 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/531202

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1029/2020JC016528

ISSN:

2169-9275

Date made live:

07 Oct 2021 13:49 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/531202